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ShahlaHuseynova
2 years ago
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3abbd3d48a
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jupyter nbconvert simulations.ipynb --TagRemovePreprocessor.enabled=True --TagRemovePreprocessor.remove_cell_tags="['exclude']" --no-input --to html
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#!/usr/bin/env python
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# coding: utf-8
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# In[1]:
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import numpy as np
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from scipy.optimize import minimize
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import pandas as pd
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import matplotlib.pyplot as plt
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# #### Theory
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# 
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# #### Preliminary Calculation
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# In[2]:
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PmmHg = 440.8
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TC = 9.158144271
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zis = [0.66,0.135,0.162,0.043]
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# In[3]:
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def AntoinePsat(coeff,TC):
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A,B,C = coeff
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return 10**(A-B/(TC + C))
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# In[4]:
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coeffs = [[7.94917,1657.462,227.02],
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[7.5788,863.35,273.15],
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[6.49454,255.6784,266.55],
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[6.69147,319.0117,266.7]]
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# In[5]:
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""" Calculate Psats """
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Psats = [AntoinePsat(coeff,TC) for coeff in coeffs]
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Psats
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# In[6]:
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""" Calculate Kis"""
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Kis = np.divide(Psats,PmmHg)
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Kis
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# In[7]:
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""" solve for V"""
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# define the mass balance
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def vapor_phase_mass_balance(V,zis):
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"""
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Equation 10.17 SVA
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"""
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return np.abs(1-sum([(zi*Ki)/(1+V*(Ki-1)) for zi,Ki in list(zip(zis,Kis))]))
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# minimize vapor_phase_mass_balance to solve for V
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F_vapor_phase_mass_balance = lambda x : vapor_phase_mass_balance(x,zis)
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res = minimize(F_vapor_phase_mass_balance, x0 = 0.5 ,method='Nelder-Mead', tol=1e-6)
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# evaluate L and V
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if res.success:
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V,L = res.x[0],1-res.x[0]
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else:
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print('Did not converge')
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raise
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# In[8]:
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""" evaluate yis"""
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yis = [(zi*Ki)/(1+V*(Ki-1)) for zi,Ki in list(zip(zis,Kis))]
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yis
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# In[9]:
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""" evaluate xis"""
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xis = [yi/Ki for yi,Ki in list(zip(yis,Kis))]
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xis
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# In[10]:
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L*xis[0],1*zis[0]*0.99
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# #### T99 Calculation
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# In[11]:
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zis = [0.66,0.135,0.162,0.043]
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# In[12]:
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def calcT98(TC,zis):
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""" Calculate Psats """
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Psats = [AntoinePsat(coeff,TC) for coeff in coeffs]
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""" Calculate Kis"""
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Kis = np.divide(Psats,PmmHg)
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""" solve for the vapor fraction,V"""
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F_vapor_phase_mass_balance = lambda x : vapor_phase_mass_balance(x,zis)
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res = minimize(F_vapor_phase_mass_balance, x0 = 0.5 ,method='Nelder-Mead', tol=1e-6)
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# evaluate L and V
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if res.success:
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V,L = res.x[0],1-res.x[0]
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else:
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print('Did not converge')
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raise
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""" evaluate yis"""
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yis = [(zi*Ki)/(1+V*(Ki-1)) for zi,Ki in list(zip(zis,Kis))]
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""" evaluate xis"""
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xis = [yi/Ki for yi,Ki in list(zip(yis,Kis))]
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return [np.abs(L*xis[0] - (1*zis[0]*0.98)),yis[0]]
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F_calcT98 = lambda x : calcT98(x,zis)[0]
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# In[13]:
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T98 = minimize(F_calcT98, x0 = 10 ,method='Nelder-Mead', tol=1e-6)
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# In[14]:
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T98 = T98.x[0]
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T98
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# #### Effect of Composition to T98
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# In[15]:
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"""water_to_carbondioxide_mass_ratios"""
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r1s = np.linspace(0.05,2,11)
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"""wetcarbondioxide_to_air_mole_ratios"""
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r2s = 1-np.linspace(0.00,0.40,11)
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# In[16]:
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r1 = r1s[0]
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r2 = r2s[0]
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# In[17]:
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results = []
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for r1 in r1s:
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for r2 in r2s:
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mCO2 = 1
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mwater = r1*mCO2
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nCO2 = mCO2/ 44.01
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nwater = mwater / 18.01528
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z1_pure = nwater / (nwater + nCO2)
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z2_pure = nCO2 / (nwater + nCO2)
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zs = [ r2*z1_pure,
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r2*z2_pure,
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0.79*(1 - r2*z1_pure - r2*z2_pure),
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0.21*(1 - r2*z1_pure - r2*z2_pure)]
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zijs = [np.round(z,3) for z in zs]
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"""define a lambda funtion at the calculated zijs"""
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F_calcT98 = lambda x : calcT98(x,zijs)[0]
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"""solve for T98"""
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T98 = minimize(F_calcT98, x0 = 50 ,method='Nelder-Mead', tol=1e-6)
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"""append the result and the calculation parameter levels"""
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results.append({'zH2O' : zijs[0],
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'zCO2' : zijs[1],
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'zN2' : zijs[2],
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'zO2' : zijs[3],
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'r1' : r1,
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'r2' : 1-r2,
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'yH2O' : calcT98(T98.x[0],zijs)[1],
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'T98' : T98.x[0]})
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# In[18]:
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results = pd.DataFrame(results)
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results.head()
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# In[19]:
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df=results.pivot('r1','r2','yH2O')
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df
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# In[20]:
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plt.figure(dpi=100)
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X=df.columns.values
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Y=df.index.values
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Z=df.values
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x,y=np.meshgrid(X, Y)
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plt.contourf(x, y, Z) #the NAN will be plotted as white spaces
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plt.colorbar(label = 'y$_{water}$')
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plt.xlabel('mole air / (mole CO$_2$ + H$_2$O)')
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plt.ylabel('mass H$_2$O / mass CO$_2$')
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# In[21]:
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df=results.pivot('r1','r2','T98')
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df
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# In[22]:
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plt.figure(dpi=100)
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X=df.columns.values
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Y=df.index.values
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Z=df.values
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x,y=np.meshgrid(X, Y)
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plt.contourf(x, y, Z) #the NAN will be plotted as white spaces
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plt.colorbar(label = 'T$_{98}$,[°C]')
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plt.xlabel('mole air / (mole CO$_2$ + H$_2$O)')
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plt.ylabel('mass H$_2$O / mass CO$_2$')
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plt.show()
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# //CBa20220220
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{
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"Case 1": {
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"client" : "ENCORE",
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"description": "First case",
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"heatpump": {
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"type": "Type 1",
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"electric power": 1,
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"COP": 3.5,
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"technical lifetime": 25,
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"CAPEX": 1000000
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}
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}
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}
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@ -1,51 +0,0 @@
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;80;81;82;83;84;85;86;87;88;89;90;91;92;93;94;95;96;97;98;99;100;101;102;103;104;105;106;107;108;109;110;111;112;113;114;115;116;117;118;119;120;121;122;123;124;125;126;127;128;129;130;131;132;133;134;135;136;137;138;139;140;141;142;143;144;145;146;147;148;149;150;151;152;153;154;155;156;157;158;159;160;161;162;163;164;165;166;167;168;169
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25;2.9940818181818183;2.948946428571429;2.9053947368421054;2.863344827586207;2.822720338983051;2.78345;2.7454672131147544;2.708709677419355;2.673119047619048;2.6386406250000003;2.6052230769230773;2.572818181818182;2.5413805970149257;2.5108676470588236;2.481239130434783;2.452457142857143;2.424485915492958;2.397291666666667;2.370842465753425;2.3451081081081084;2.3200600000000002;2.295671052631579;2.2719155844155843;2.248769230769231;2.226208860759494;2.2042125;2.1827592592592593;2.161829268292683;2.1414036144578317;2.1214642857142856;2.101994117647059;2.082976744186047;2.064396551724138;2.0462386363636367;2.028488764044944;2.0111333333333334;1.9941593406593405;1.977554347826087;1.9613064516129033;1.9454042553191488;1.9298368421052632;1.91459375;1.8996649484536081;1.8850408163265304;1.8707121212121212;1.8566700000000003;1.8429059405940595;1.8294117647058825;1.8161796116504858;1.8032019230769234;1.7904714285714287;1.777981132075472;1.7657242990654207;1.7536944444444444;1.7418853211009178;1.7302909090909093;1.7189054054054056;1.7077232142857144;1.6967389380530973;1.6859473684210526;1.6753434782608694;1.6649224137931034;1.6546794871794874;1.6446101694915256;1.6347100840336135;1.624975;1.6154008264462811;1.6059836065573772;1.596719512195122;1.5876048387096775;1.5786360000000002;1.5698095238095238;1.5611220472440945;1.5525703125;1.5441511627906976;1.5358615384615384;1.5276984732824426;1.5196590909090908;1.5117406015037593;1.5039402985074628;1.4962555555555557;1.4886838235294118;1.4812226277372265;1.4738695652173914;1.4666223021582734;1.4594785714285716;1.4524361702127662;1.445492957746479;1.438646853146853;1.4318958333333334
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26;3.049527777777778;3.0025636363636363;2.957276785714286;2.9135789473684213;2.8713879310344828;2.830627118644068;2.7912250000000003;2.7531147540983607;2.7162338709677423;2.6805238095238098;2.6459296875000002;2.6124;2.579886363636364;2.5483432835820894;2.517727941176471;2.4880000000000004;2.4591214285714287;2.4310563380281693;2.4037708333333336;2.3772328767123287;2.351412162162162;2.32628;2.301809210526316;2.277974025974026;2.25475;2.232113924050633;2.21004375;2.188518518518519;2.167518292682927;2.1470240963855423;2.127017857142857;2.107482352941177;2.0884011627906975;2.0697586206896554;2.051539772727273;2.033730337078652;2.0163166666666665;1.9992857142857146;1.982625;1.9663225806451612;1.950367021276596;1.9347473684210525;1.919453125;1.9044742268041237;1.8898010204081632;1.8754242424242427;1.8613350000000004;1.8475247524752476;1.8339852941176473;1.8207087378640778;1.8076875000000001;1.794914285714286;1.7823820754716981;1.770084112149533;1.758013888888889;1.746165137614679;1.7345318181818183;1.723108108108108;1.711888392857143;1.700867256637168;1.6900394736842106;1.6793999999999998;1.6689439655172416;1.658666666666667;1.6485635593220342;1.6386302521008407;1.6288625000000003;1.6192561983471074;1.6098073770491805;1.6005121951219514;1.591366935483871;1.5823680000000002;1.5735119047619048;1.5647952755905512;1.55621484375;1.547767441860465;1.53945;1.5312595419847328;1.5231931818181819;1.515248120300752;1.507421641791045;1.4997111111111114;1.4921139705882354;1.4846277372262775;1.4772500000000002;1.4699784172661872;1.4628107142857143;1.455744680851064;1.4487781690140846;1.441909090909091
|
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27;3.107066037735849;3.0581666666666667;3.011045454545455;2.965607142857143;2.9217631578947367;2.8794310344827587;2.838533898305085;2.7990000000000004;2.7607622950819675;2.723758064516129;2.6879285714285714;2.65321875;2.6195769230769232;2.5869545454545455;2.555305970149254;2.5245882352941176;2.4947608695652175;2.4657857142857145;2.43762676056338;2.4102500000000004;2.383623287671233;2.3577162162162164;2.3325;2.3079473684210527;2.2840324675324677;2.2607307692307694;2.238018987341772;2.215875;2.1942777777777778;2.173207317073171;2.152644578313253;2.1325714285714286;2.112970588235294;2.093825581395349;2.0751206896551726;2.056840909090909;2.03897191011236;2.0215;2.004412087912088;1.987695652173913;1.9713387096774193;1.9553297872340425;1.939657894736842;1.9243124999999999;1.909283505154639;1.8945612244897962;1.880136363636364;1.866;1.852143564356436;1.8385588235294117;1.82523786407767;1.812173076923077;1.7993571428571429;1.7867830188679248;1.774443925233645;1.7623333333333333;1.7504449541284404;1.7387727272727274;1.727310810810811;1.7160535714285714;1.704995575221239;1.6941315789473683;1.6834565217391306;1.6729655172413795;1.6626538461538465;1.6525169491525424;1.6425504201680674;1.6327500000000001;1.623111570247934;1.6136311475409837;1.6043048780487805;1.5951290322580647;1.5861;1.5772142857142857;1.5684685039370079;1.559859375;1.5513837209302326;1.5430384615384616;1.5348206106870228;1.5267272727272727;1.5187556390977446;1.510902985074627;1.503166666666667;1.495544117647059;1.4880328467153285;1.480630434782609;1.4733345323741007;1.4661428571428572;1.4590531914893619;1.4520633802816902
|
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28;3.166817307692308;3.1158679245283016;3.066805555555556;3.019527272727273;2.9739375;2.929947368421053;2.8874741379310347;2.846440677966102;2.806775;2.7684098360655742;2.731282258064516;2.6953333333333336;2.6605078125;2.6267538461538464;2.5940227272727276;2.562268656716418;2.5314485294117652;2.501521739130435;2.4724500000000003;2.444197183098592;2.416729166666667;2.390013698630137;2.36402027027027;2.3387200000000004;2.3140855263157896;2.2900909090909094;2.2667115384615384;2.2439240506329114;2.22170625;2.200037037037037;2.178896341463415;2.158265060240964;2.138125;2.118458823529412;2.09925;2.0804827586206898;2.0621420454545456;2.0442134831460677;2.0266833333333336;2.0095384615384617;1.992766304347826;1.9763548387096774;1.9602925531914894;1.9445684210526317;1.9291718750000002;1.9140927835051547;1.8993214285714286;1.8848484848484852;1.8706650000000002;1.856762376237624;1.8431323529411765;1.8297669902912623;1.816658653846154;1.8038;1.7911839622641512;1.778803738317757;1.7666527777777778;1.754724770642202;1.7430136363636364;1.7315135135135136;1.72021875;1.7091238938053097;1.6982236842105265;1.687513043478261;1.6769870689655175;1.6666410256410258;1.656470338983051;1.6464705882352944;1.6366375000000002;1.6269669421487603;1.617454918032787;1.6080975609756099;1.598891129032258;1.5898320000000001;1.5809166666666667;1.5721417322834648;1.56350390625;1.555;1.5466269230769232;1.538381679389313;1.530261363636364;1.522263157894737;1.5143843283582092;1.5066222222222223;1.4989742647058826;1.4914379562043798;1.4840108695652174;1.4766906474820145;1.469475;1.4623617021276596
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||||
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|
||||
74;35.3;30.342857142857145;26.625;23.733333333333334;21.42;19.52727272727273;17.950000000000003;16.615384615384617;15.471428571428572;14.48;13.6125;12.847058823529412;12.166666666666668;11.557894736842105;11.010000000000002;10.514285714285716;10.063636363636364;9.652173913043478;9.275;8.928;8.607692307692307;8.311111111111112;8.035714285714286;7.7793103448275875;7.540000000000001;7.316129032258065;7.106250000000001;6.90909090909091;6.723529411764706;6.548571428571428;6.383333333333333;6.227027027027027;6.078947368421053;5.938461538461539;5.805;5.678048780487805;5.557142857142857;5.44186046511628;5.331818181818182;5.226666666666667;5.126086956521739;5.029787234042553;4.9375;4.848979591836734;4.763999999999999;4.682352941176472;4.603846153846154;4.528301886792454;4.455555555555556;4.385454545454546;4.317857142857143;4.252631578947368;4.189655172413794;4.128813559322034;4.07;4.0131147540983605;3.958064516129032;3.904761904761905;3.8531250000000004;3.8030769230769232;3.7545454545454544;3.7074626865671645;3.6617647058823533;3.6173913043478265;3.5742857142857147;3.5323943661971837;3.491666666666667;3.4520547945205484;3.4135135135135135;3.3760000000000003;3.3394736842105264;3.303896103896104;3.269230769230769;3.235443037974684;3.2025;3.1703703703703705;3.1390243902439026;3.108433734939759;3.0785714285714287;3.0494117647058827;3.0209302325581397;2.9931034482758623;2.9659090909090913;2.9393258426966296;2.9133333333333336;2.8879120879120883;2.86304347826087;2.838709677419355;2.8148936170212764;2.7915789473684214
|
||||
|
@ -1,58 +0,0 @@
|
||||
{
|
||||
"2020": {
|
||||
"electricity": {
|
||||
"1": {
|
||||
"EB": 0.09770,
|
||||
"ODE": 0.0273
|
||||
},
|
||||
"2": {
|
||||
"EB": 0.05083,
|
||||
"ODE": 0.0375
|
||||
},
|
||||
"3": {
|
||||
"EB": 0.01353,
|
||||
"ODE": 0.0205
|
||||
},
|
||||
"4": {
|
||||
"EB": 0.00055,
|
||||
"ODE": 0.0004
|
||||
}
|
||||
},
|
||||
"gas": {
|
||||
"1": {
|
||||
"EB": 0.33307,
|
||||
"ODE": 0.0775
|
||||
},
|
||||
"2": {
|
||||
"EB": 0.06444,
|
||||
"ODE": 0.0214
|
||||
},
|
||||
"3": {
|
||||
"EB": 0.02348,
|
||||
"ODE": 0.0212
|
||||
},
|
||||
"4": {
|
||||
"EB": 0.01261,
|
||||
"ODE": 0.0212
|
||||
}
|
||||
},
|
||||
"gas_horticulture": {
|
||||
"1": {
|
||||
"EB": 0.05348,
|
||||
"ODE": 0.0124
|
||||
},
|
||||
"2": {
|
||||
"EB": 0.02432,
|
||||
"ODE": 0.0081
|
||||
},
|
||||
"3": {
|
||||
"EB": 0.02348,
|
||||
"ODE": 0.0212
|
||||
},
|
||||
"4": {
|
||||
"EB": 0.01261,
|
||||
"ODE": 0.0212
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,967 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 125,
|
||||
"id": "6234aed6-ba73-43e7-b215-b180d2d864e6",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"The autoreload extension is already loaded. To reload it, use:\n",
|
||||
" %reload_ext autoreload\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%load_ext autoreload\n",
|
||||
"%autoreload 2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 126,
|
||||
"id": "accfef7c-7f9c-467e-91ed-1f1976eebf17",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from notepad import WaterStorage"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 143,
|
||||
"id": "9e0e68f7-5b5e-4331-8048-0e010d196899",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"tank = WaterStorage(\n",
|
||||
" name='MyStorage',\n",
|
||||
" max_power=10,\n",
|
||||
" min_power=-10,\n",
|
||||
" roundtrip_eff=0.90,\n",
|
||||
" specific_heat_capacity =1.16,\n",
|
||||
" volume = 1000,\n",
|
||||
" lifetime = 25,\n",
|
||||
" min_temperature = 55 + 273,\n",
|
||||
" max_temperature = 95 + 273\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 136,
|
||||
"id": "ee76c1f3-f45e-4611-9df9-b2cc602980de",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"25"
|
||||
]
|
||||
},
|
||||
"execution_count": 136,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"tank.lifetime"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 137,
|
||||
"id": "dd188159-f3f3-4837-97ad-27385fd0cd66",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"-10"
|
||||
]
|
||||
},
|
||||
"execution_count": 137,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"tank.min_power"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 138,
|
||||
"id": "9d3df2d7-65b4-41a5-84d6-0b0ec751013e",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"capex_per_MW = 10_000\n",
|
||||
"capex_per_MWh = 3_000\n",
|
||||
"# Q_max = 50000\n",
|
||||
"\n",
|
||||
"tank.set_financials(\n",
|
||||
" capex_per_MW,\n",
|
||||
" capex_per_MWh,\n",
|
||||
" 2_000,\n",
|
||||
" 0,\n",
|
||||
" lifetime=30\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 139,
|
||||
"id": "05b6436f-401e-4fbf-bdc0-c52f4e4f1867",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"2000"
|
||||
]
|
||||
},
|
||||
"execution_count": 139,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"tank.opex"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 142,
|
||||
"id": "a7c7ef93-e8b3-403a-aedc-af786d785f20",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"14.02"
|
||||
]
|
||||
},
|
||||
"execution_count": 142,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"tank.capex/1e6"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 133,
|
||||
"id": "16cd1fa1-09ed-43eb-a5b7-3e82f67e1641",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from notepad import Heatpump"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 59,
|
||||
"id": "afce7655-b7c9-4d90-a95e-3280b2299647",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class Car:\n",
|
||||
" def __init__(self, brand, color):\n",
|
||||
" self.brand = brand\n",
|
||||
" self.color = color\n",
|
||||
" \n",
|
||||
" def __repr__(self):\n",
|
||||
" return f\"This is my {self.color} {self.brand}.\"\n",
|
||||
" \n",
|
||||
"mycar = Car(brand='Ferrari', color='Red')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "618829c4-42ed-4921-9ca9-4c34fc570c61",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"id": "dad3fe1f-9614-4336-8930-8234f52e6dae",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"This is my Red Ferrari."
|
||||
]
|
||||
},
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"mycar"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "4485c572-8554-4964-835d-8d0d1d41eb2e",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from pyrecoy.assets import WaterStorage"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"id": "f41d1e57-bcd4-4c09-af8e-acc00072c1af",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "TypeError",
|
||||
"evalue": "__init__() got an unexpected keyword argument 'storage_capacity'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_29716/1712525065.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m vessel = WaterStorage(\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'MyStorage'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mmax_power\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mmin_power\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mroundtrip_eff\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.70\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;31mTypeError\u001b[0m: __init__() got an unexpected keyword argument 'storage_capacity'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"vessel = WaterStorage(\n",
|
||||
" name='MyStorage',\n",
|
||||
" max_power=10,\n",
|
||||
" min_power=-10,\n",
|
||||
" roundtrip_eff=0.70,\n",
|
||||
" storage_capacity=100\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "afaecf07-a2a8-449f-8563-f4f2d483b71c",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "NameError",
|
||||
"evalue": "name 'vessel' is not defined",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_29716/4025137326.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mvessel\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[1;31mNameError\u001b[0m: name 'vessel' is not defined"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"vessel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"id": "c55c89da-5115-4eb4-85fd-fe027ab50b5f",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "NameError",
|
||||
"evalue": "name 'vessel' is not defined",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_29716/538738538.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[0mcapex_per_MWh\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m3_000\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m vessel.set_financials(\n\u001b[0m\u001b[0;32m 5\u001b[0m \u001b[0mcapex_per_MW\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[0mcapex_per_MWh\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;31mNameError\u001b[0m: name 'vessel' is not defined"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"capex_per_MW = 10_000\n",
|
||||
"capex_per_MWh = 3_000\n",
|
||||
"\n",
|
||||
"vessel.set_financials(\n",
|
||||
" capex_per_MW,\n",
|
||||
" capex_per_MWh,\n",
|
||||
" 2_000,\n",
|
||||
" 0,\n",
|
||||
" lifetime=30\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "865222bf-57e9-43c7-80d0-f87db62c16d1",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"10*10_000 + 100*3_000"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "470737ab-2411-4746-ab77-9457dacfe6b7",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"vessel.capex"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"id": "f1419aa7-306c-4966-94b8-7f2a674f3bef",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "NameError",
|
||||
"evalue": "name 'vessel' is not defined",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_21184/2076975315.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mvessel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mopex\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[1;31mNameError\u001b[0m: name 'vessel' is not defined"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"vessel.opex"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "d0a96b2c-7de4-4c8b-a1ad-af212366706a",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from pyrecoy.assets import HeatBuffer"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "6586728b-c1e8-40b8-a06d-0937dc286096",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"vessel = HeatBuffer(\n",
|
||||
" name='MyStorage',\n",
|
||||
" rated_capacity=100,\n",
|
||||
" min_buffer_level_perc=0.3,\n",
|
||||
" buffer_level_at_start=.5,\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "2ac71015-f6b8-4bcd-8fc0-c644566781e6",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"vessel.get_soc()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "2411b8a5-55c0-4a1f-a914-aa6a9a97066e",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"vessel.set_freq('H')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "06b9093f-ac2e-401b-8808-0cb6c9d21995",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"vessel.charge(10)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "8ac8aaec-9f83-4672-803b-3393e92cea85",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"vessel.get_soc()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "fa653139-c038-49c6-b80b-4038e649f3ef",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"vessel.chargelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "a5333668-b73c-4a81-a8f6-71bb44bef877",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def test_method(variable_name):\n",
|
||||
" print(variable_name)\n",
|
||||
" \n",
|
||||
"test_method(5)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "ee03a3af-b9d6-4cb3-ad27-cae10bc5a6b4",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"help(vessel)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "38840a88-dff7-4d44-ba8e-6fb8fc234771",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"help(vessel)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "f75c8d8f-5586-4b45-aa13-31f4aed5c99d",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "c243d17f-dec8-48dc-829c-a2c5fec7fbbb",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class SchoolPerson:\n",
|
||||
" \n",
|
||||
" schoolpopulation = 0\n",
|
||||
" \n",
|
||||
" def __init__(self, name, age ):\n",
|
||||
" self.name = name\n",
|
||||
" self.age = age\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" SchoolPerson.schoolpopulation +=1 \n",
|
||||
" print(f'Initialized person:{self.name}')\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" def tellName(self):\n",
|
||||
" print(f'Name: {self.name} , age: {self.age}')\n",
|
||||
" \n",
|
||||
" @classmethod\n",
|
||||
" def Count(cls):\n",
|
||||
" print('number of people:', cls.schoolpopulation)\n",
|
||||
"\n",
|
||||
" \n",
|
||||
"class SchoolTeacher(SchoolPerson):\n",
|
||||
" def __init__(self, name, age, salary):\n",
|
||||
" SchoolPerson.__init__(self, name ,age)\n",
|
||||
" self.salary = salary\n",
|
||||
" \n",
|
||||
" def tellName(self):\n",
|
||||
" print(f'Name: {self.name} , age: {self.age}, salary: {self.salary}')\n",
|
||||
" super().tellName()\n",
|
||||
" \n",
|
||||
" @classmethod\n",
|
||||
" def Count(cls):\n",
|
||||
" super().Count()\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "f462528b-e981-4d99-ae88-806e13e254fe",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"c = SchoolPerson('Nazim', 30)\n",
|
||||
"c.name\n",
|
||||
"d = SchoolPerson('Rasim', 23)\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "cd2d7a8b-25f6-4438-b0b3-9ab1a4c5a33a",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"SchoolPerson.Count()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "c937bf4b-4cd2-4e6e-9ece-31689eb55b5e",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"f = SchoolTeacher('John', 35, 1111)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "a8eb084e-d233-4225-baa7-35c290e45ffb",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"SchoolTeacher.Count()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "ddff6fb6-d01d-408b-8d08-2dc226edf07b",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"c.__dict__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "0413f66c-9390-4444-a712-ab4e85a9ed32",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"x = 23\n",
|
||||
"\n",
|
||||
"class Addition:\n",
|
||||
" \n",
|
||||
" x = 10\n",
|
||||
" \n",
|
||||
" def __init__(self, x):\n",
|
||||
" self.x = x\n",
|
||||
" \n",
|
||||
" def addY_1(self, y):\n",
|
||||
" print('Result:', self.x + y)\n",
|
||||
" \n",
|
||||
" @classmethod\n",
|
||||
" def addY_2(cls, y):\n",
|
||||
" print('Result:', cls.x + y)\n",
|
||||
" \n",
|
||||
" @staticmethod\n",
|
||||
" def addY_3(y):\n",
|
||||
" print('Result:', x + y)\n",
|
||||
" \n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "2114ab51-ccd7-4b41-a20e-272c8ae1a88b",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"n = Addition(23)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "aeeb5ada-84d9-4750-b9c7-d38ee24db7fc",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"n.addY_1(2)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "e103e15c-a1e5-494b-b40a-60b5702509cd",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# n.addY_2(2)\n",
|
||||
"\n",
|
||||
"n.addY_3(2)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "e1c04684-739a-4ff5-aedf-ebeb44cf1512",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"t = Addition(30)\n",
|
||||
"t.addY_1(2)\n",
|
||||
"t.addY_2(2)\n",
|
||||
"Addition.addY_2(2)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "50936cf6-d267-4a74-8c99-90dc063c55a6",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def buterbrod(icfunksiya):\n",
|
||||
" def corekle():\n",
|
||||
" print('/------- \\\\')\n",
|
||||
" icfunksiya()\n",
|
||||
" print('\\-------//')\n",
|
||||
" return corekle()\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" \n",
|
||||
"@buterbrod\n",
|
||||
"def pendirli():\n",
|
||||
" print('=========')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "2a5f08ba-b25f-4a8f-8cbf-a72ac75cf68f",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "34cb1c1e-9466-4ef2-be5f-3009f47434f7",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from itertools import count\n",
|
||||
"class Asset:\n",
|
||||
" \"\"\"Generic class for producing/consuming assets. Specific asset classes can\n",
|
||||
" inherit from this class.\n",
|
||||
"\n",
|
||||
" Parameters:\n",
|
||||
" -----------\n",
|
||||
" max_power : int/float\n",
|
||||
" Maximum asset power in MW electric\n",
|
||||
" min_power : int/float\n",
|
||||
" Minimium asset load in MW electric\n",
|
||||
"\n",
|
||||
" Usage:\n",
|
||||
" ------\n",
|
||||
" Use the set_load and get_load methods to set and get asset status in MW.\n",
|
||||
"\n",
|
||||
" Convention is negative values for inputs (consumption) and positive\n",
|
||||
" values for outputs (production).\n",
|
||||
" \"\"\"\n",
|
||||
"\n",
|
||||
" _freq_to_multiplier = {\"H\": 1, \"15T\": (1 / 4), \"1T\": (1 / 60)}\n",
|
||||
" _ids = count(0)\n",
|
||||
"\n",
|
||||
" def __init__(self, name, max_power, min_power):\n",
|
||||
" if min_power > max_power:\n",
|
||||
" raise ValueError(\"'min_power' can not be larger than 'max_power'.\")\n",
|
||||
"\n",
|
||||
" self.name = name\n",
|
||||
" self.id = next(self._ids)\n",
|
||||
" self.max_power = max_power\n",
|
||||
" self.min_power = min_power\n",
|
||||
" self.modes = {\"max\": max_power, \"min\": min_power}\n",
|
||||
"\n",
|
||||
" def __repr__(self):\n",
|
||||
" return f\"{self.__class__.__name__}(self, max_power={self.max_power}, min_power={self.min_power})\"\n",
|
||||
"\n",
|
||||
" def set_load(self, load):\n",
|
||||
" \"\"\"Set Asset load in MW.\n",
|
||||
"\n",
|
||||
" Convention is negative value for consumption and positive value\n",
|
||||
" for production. Subclasses might use a different convention if\n",
|
||||
" this seems more intiutive.\n",
|
||||
"\n",
|
||||
" Returns the load that is set in MW.\n",
|
||||
" \"\"\"\n",
|
||||
" if load < self.min_power or load > self.max_power:\n",
|
||||
" warnings.warn(\n",
|
||||
" f\"Chosen Asset load for {self.name} is out of range. \"\n",
|
||||
" f\"Should be between {self.min_power} and {self.max_power}. \"\n",
|
||||
" f\"Function will return boundary load level for now.\"\n",
|
||||
" )\n",
|
||||
" load = min(max(load, self.min_power), self.max_power)\n",
|
||||
" return load\n",
|
||||
"\n",
|
||||
" def set_mode(self, mode):\n",
|
||||
" \"\"\" \"\"\"\n",
|
||||
" load = self.modes[mode]\n",
|
||||
" return self.set_load(load)\n",
|
||||
"\n",
|
||||
" def MW_to_MWh(self, MW):\n",
|
||||
" \"\"\"Performs conversion from MW to MWh using the time_factor variable.\"\"\"\n",
|
||||
" return MW * self.time_factor\n",
|
||||
"\n",
|
||||
" def MWh_to_MW(self, MWh):\n",
|
||||
" \"\"\"Performs conversion from MWh to MW using the time_factor variable.\"\"\"\n",
|
||||
" return MWh / self.time_factor\n",
|
||||
"\n",
|
||||
" def set_freq(self, freq):\n",
|
||||
" \"\"\"\n",
|
||||
" Function that aligns time frequency between Model and Asset.\n",
|
||||
" Can be '1T', '15T' or 'H'\n",
|
||||
" The time_factor variable is used in subclasses to perform MW to MWh conversions.\n",
|
||||
" \"\"\"\n",
|
||||
" self.freq = freq\n",
|
||||
" self.time_factor = Asset._freq_to_multiplier[freq]\n",
|
||||
"\n",
|
||||
" def set_financials(self, capex, opex, devex, lifetime=None, depreciate=True, salvage_value=0):\n",
|
||||
" \"\"\"Set financial data of the asset.\"\"\"\n",
|
||||
" self.capex = capex\n",
|
||||
" self.opex = opex\n",
|
||||
" self.devex = devex\n",
|
||||
" self.lifetime = lifetime\n",
|
||||
" self.depreciate = depreciate\n",
|
||||
" self.salvage_value = salvage_value"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "81a28df0-2ed6-42f4-bd8e-22bcfc992f79",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class WaterStorage(Asset):\n",
|
||||
" \n",
|
||||
" def __init__(\n",
|
||||
" self, \n",
|
||||
" name,\n",
|
||||
" max_power,\n",
|
||||
" min_power,\n",
|
||||
" roundtrip_eff,\n",
|
||||
" lifetime,\n",
|
||||
" power_capex, \n",
|
||||
" energy_capex,\n",
|
||||
" opex,\n",
|
||||
" heat_demand = 23.5*1.06,\n",
|
||||
" heat_st_capacity = 70, \n",
|
||||
" storage_size = 22650\n",
|
||||
" ):\n",
|
||||
" super().__init__(name, max_power, min_power)\n",
|
||||
" self.rt_eff = roundtrip_eff\n",
|
||||
" self.lifetime = lifetime\n",
|
||||
" self.power_capex = power_capex #Euro/kW\n",
|
||||
" self.energy_capex = energy_capex #Euro/kWh\n",
|
||||
" self.opex = opex\n",
|
||||
" self.heat_demand = heat_demand #MW\n",
|
||||
" self.heat_st_cap = heat_st_cap #kWh/m3\n",
|
||||
" self.storage_size= storage_size #m3\n",
|
||||
" \n",
|
||||
" def __repr__(self):\n",
|
||||
" return (\n",
|
||||
" # f\"{self.__class__.__name__}(name={self.name}, max_power={self.max_power}, \"\n",
|
||||
" # f\"min_power={self.min_power}, efficiency={self.efficiency})\"\n",
|
||||
" f\"\"\"{self.__class__.__name__}(name={self.name}, max_power={self.max_power}, \n",
|
||||
" min_power={self.min_power}, efficiency={self.efficiency})\"\"\"\n",
|
||||
" )\n",
|
||||
" \n",
|
||||
" def set_capacity(self, capacity):\n",
|
||||
" if not isinstance(capacity, (int, float)):\n",
|
||||
" raise TypeError('Should be float')\n",
|
||||
" if capacity < 0:\n",
|
||||
" raise ValueError('Capacity has to be positive')\n",
|
||||
" self.capacity = capacity\n",
|
||||
" \n",
|
||||
" def cost_function(self):\n",
|
||||
" return self.heat_demand * self.power_capex * 1e6 + self.heat_st_cap * self.storage_size * self.energy_capex\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" \n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "ed141f44-e508-4613-9eb8-bf7adf39e1d3",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"s = WaterStorage\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "de204644-8b68-419f-82ee-772072b25a2e",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"c.__dict__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "2ab516f0-3f28-41d3-ba30-0622773eed82",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"d = Asset('Pump', 200, 20)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "9e325374-f7ea-46b1-9763-c13d24f051c7",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"d.__dict__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "9fac7681-f324-4f73-9566-0843077afca3",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class Eboiler(Asset):\n",
|
||||
" \"\"\"Subclass for an E-boiler.\"\"\"\n",
|
||||
"\n",
|
||||
" def __init__(self, name, max_power, min_power=0, efficiency=0.99):\n",
|
||||
" super().__init__(name, min_power=-max_power, max_power=-min_power)\n",
|
||||
" self.efficiency = efficiency\n",
|
||||
" self.max_thermal_output = max_power * 0.99\n",
|
||||
"\n",
|
||||
" def __repr__(self):\n",
|
||||
" return (\n",
|
||||
" f\"{self.__class__.__name__}(name={self.name}, max_power={self.max_power}, \"\n",
|
||||
" f\"min_power={self.min_power}, efficiency={self.efficiency})\"\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
" def set_load(self, load):\n",
|
||||
" \"\"\"Set load in MWe, returns (load, heat_output) in MWe and MWth\n",
|
||||
"\n",
|
||||
" Convention is negative numbers for consumption.\n",
|
||||
" Inserting a positive value will return an exception.\n",
|
||||
" \"\"\"\n",
|
||||
"\n",
|
||||
" if load > 0:\n",
|
||||
" raise ValueError(\n",
|
||||
" f\"Eboiler.set_load() only accepts negative numbers by convention. \"\n",
|
||||
" f\"{load} was inserted.\"\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
" load = super().set_load(load)\n",
|
||||
" heat_output = -load * self.efficiency\n",
|
||||
" return (load, heat_output)\n",
|
||||
"\n",
|
||||
" def set_heat_output(self, heat_output):\n",
|
||||
" \"\"\"Set heat output in MWth, returns tuple (heat_output, eload) in MW\"\"\"\n",
|
||||
" load = -heat_output / self.efficiency\n",
|
||||
" load, heat_output = self.set_load(load)\n",
|
||||
" return heat_output, load"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "904d8541-4d1b-4d1e-a7a3-e9fe939689bb",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"e = Eboiler('eboyul', 300)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "9c5866c7-026b-41b4-b5c6-1476e82ff0ac",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"e.__dict__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "0f9a1714-bd18-4487-9f1c-24ca0ca31473",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"e.set_financials(300,400,500)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "f135160a-484f-4cbc-8df1-cfab32195423",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"e.__dict__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "5ae82d8a-36d1-4456-97e6-d93679b1d211",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@ -1,843 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"id": "51bd3ee9-400e-4ee1-ae81-3781c4acf453",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#!/usr/bin/env python\n",
|
||||
"# coding: utf-8\n",
|
||||
"\n",
|
||||
"# In[1]:\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"import numpy as np\n",
|
||||
"from scipy.optimize import minimize\n",
|
||||
"import pandas as pd\n",
|
||||
"import matplotlib.pyplot as plt\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# #### Theory\n",
|
||||
"\n",
|
||||
"# \n",
|
||||
"\n",
|
||||
"# #### Preliminary Calculation\n",
|
||||
"\n",
|
||||
"# In[2]:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 20,
|
||||
"id": "90be5fde-d54c-48d5-9cfc-fb76d02a2ce8",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"PmmHg = 440.8 \n",
|
||||
"TC = 9.158144271\n",
|
||||
"zis = [0.66,0.135,0.162,0.043]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"id": "ba673fb5-82b6-4ca4-98eb-36bef06cf96c",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def AntoinePsat(coeff,TC):\n",
|
||||
" A,B,C = coeff\n",
|
||||
" return 10**(A-B/(TC + C))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"id": "2ddecd48-5434-40ec-af2c-ae372e7cd9e3",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"coeffs = [[7.94917,1657.462,227.02],\n",
|
||||
" [7.5788,863.35,273.15],\n",
|
||||
" [6.49454,255.6784,266.55],\n",
|
||||
" [6.69147,319.0117,266.7]]\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"id": "67f34a74-e710-45a3-b96d-c87b95df1883",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[8.537355065914953, 33160.18044351948, 369137.6636043228, 342796.30727095477]"
|
||||
]
|
||||
},
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"\"\"\" Calculate Psats \"\"\"\n",
|
||||
"Psats = [AntoinePsat(coeff,TC) for coeff in coeffs]\n",
|
||||
"Psats "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 24,
|
||||
"id": "2668abbd-1477-43ee-9936-f52ec9000d36",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"array([1.93678654e-02, 7.52272696e+01, 8.37426642e+02, 7.77668574e+02])"
|
||||
]
|
||||
},
|
||||
"execution_count": 24,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"\"\"\" Calculate Kis\"\"\"\n",
|
||||
"Kis = np.divide(Psats,PmmHg)\n",
|
||||
"Kis\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 25,
|
||||
"id": "d3523741-f974-4bb2-acd5-606f3cbcb574",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# define the mass balance\n",
|
||||
"def vapor_phase_mass_balance(V,zis):\n",
|
||||
" \"\"\"\n",
|
||||
" Equation 10.17 SVA\n",
|
||||
" \"\"\"\n",
|
||||
" return np.abs(1-sum([(zi*Ki)/(1+V*(Ki-1)) for zi,Ki in list(zip(zis,Kis))]))\n",
|
||||
"\n",
|
||||
"# minimize vapor_phase_mass_balance to solve for V\n",
|
||||
"\n",
|
||||
"F_vapor_phase_mass_balance = lambda x : vapor_phase_mass_balance(x,zis)\n",
|
||||
"res = minimize(F_vapor_phase_mass_balance, x0 = 0.5 ,method='Nelder-Mead', tol=1e-6)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# evaluate L and V\n",
|
||||
"if res.success:\n",
|
||||
" V,L = res.x[0],1-res.x[0]\n",
|
||||
"else:\n",
|
||||
" print('Did not converge')\n",
|
||||
" raise\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 26,
|
||||
"id": "7bbf9028-887f-410f-b404-2a7d2ae11b1c",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[0.019254965906916017,\n",
|
||||
" 0.38406230477729975,\n",
|
||||
" 0.4715420278978388,\n",
|
||||
" 0.12514042283686558]"
|
||||
]
|
||||
},
|
||||
"execution_count": 26,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"\"\"\" evaluate yis\"\"\"\n",
|
||||
"yis = [(zi*Ki)/(1+V*(Ki-1)) for zi,Ki in list(zip(zis,Kis))]\n",
|
||||
"yis"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 27,
|
||||
"id": "24958634-7976-4350-98b3-7111567a359d",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[0.9941707831334012,\n",
|
||||
" 0.0051053601543027535,\n",
|
||||
" 0.0005630845789828888,\n",
|
||||
" 0.00016091742301905547]"
|
||||
]
|
||||
},
|
||||
"execution_count": 27,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"\"\"\" evaluate xis\"\"\"\n",
|
||||
"xis = [yi/Ki for yi,Ki in list(zip(yis,Kis))]\n",
|
||||
"xis"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"id": "b082d83b-1f2f-4013-812c-14f0d2eccbb9",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(0.65339999728938, 0.6534)"
|
||||
]
|
||||
},
|
||||
"execution_count": 28,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"L*xis[0],1*zis[0]*0.99"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"id": "346bfd1a-1421-4d15-aa5a-9bf1331605da",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"zis = [0.66,0.135,0.162,0.043]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"id": "2ee4387f-e366-4643-bbd6-7483e7977fb3",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def calcT98(TC,zis):\n",
|
||||
" \"\"\" Calculate Psats \"\"\"\n",
|
||||
" Psats = [AntoinePsat(coeff,TC) for coeff in coeffs]\n",
|
||||
"\n",
|
||||
" \"\"\" Calculate Kis\"\"\"\n",
|
||||
" Kis = np.divide(Psats,PmmHg)\n",
|
||||
" \n",
|
||||
" \"\"\" solve for the vapor fraction,V\"\"\"\n",
|
||||
" F_vapor_phase_mass_balance = lambda x : vapor_phase_mass_balance(x,zis)\n",
|
||||
" res = minimize(F_vapor_phase_mass_balance, x0 = 0.5 ,method='Nelder-Mead', tol=1e-6)\n",
|
||||
" \n",
|
||||
" # evaluate L and V\n",
|
||||
" if res.success:\n",
|
||||
" V,L = res.x[0],1-res.x[0]\n",
|
||||
" else:\n",
|
||||
" print('Did not converge')\n",
|
||||
" raise\n",
|
||||
" \n",
|
||||
" \"\"\" evaluate yis\"\"\"\n",
|
||||
" yis = [(zi*Ki)/(1+V*(Ki-1)) for zi,Ki in list(zip(zis,Kis))]\n",
|
||||
" \n",
|
||||
" \"\"\" evaluate xis\"\"\"\n",
|
||||
" xis = [yi/Ki for yi,Ki in list(zip(yis,Kis))]\n",
|
||||
" \n",
|
||||
" return [np.abs(L*xis[0] - (1*zis[0]*0.98)),yis[0]]\n",
|
||||
" \n",
|
||||
"\n",
|
||||
"F_calcT98 = lambda x : calcT98(x,zis)[0]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 31,
|
||||
"id": "4c67cb7d-9041-4d3c-8e1b-67775d20510d",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"T98 = minimize(F_calcT98, x0 = 10 ,method='Nelder-Mead', tol=1e-6)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 32,
|
||||
"id": "2ab69a19-7bf0-48f5-a61c-b9023127d53b",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"19.905107498168945"
|
||||
]
|
||||
},
|
||||
"execution_count": 32,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"T98 = T98.x[0]\n",
|
||||
"T98"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 33,
|
||||
"id": "51f22d53-8f85-4103-8ab6-63b693946b3c",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# #### Effect of Composition to T98\n",
|
||||
"\n",
|
||||
"# In[15]:\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\"\"\"water_to_carbondioxide_mass_ratios\"\"\" \n",
|
||||
"r1s = np.linspace(0.05,2,11)\n",
|
||||
"\"\"\"wetcarbondioxide_to_air_mole_ratios\"\"\"\n",
|
||||
"r2s = 1-np.linspace(0.00,0.40,11) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 34,
|
||||
"id": "4f7b6eee-9b90-4016-83bb-b05bebc3e769",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"r1 = r1s[0]\n",
|
||||
"r2 = r2s[0]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 35,
|
||||
"id": "5a475a55-7ef5-4c72-96ce-a07dfc6ff273",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"results = []\n",
|
||||
"\n",
|
||||
"for r1 in r1s:\n",
|
||||
" for r2 in r2s:\n",
|
||||
"\n",
|
||||
" mCO2 = 1\n",
|
||||
" mwater = r1*mCO2\n",
|
||||
"\n",
|
||||
" nCO2 = mCO2/ 44.01\n",
|
||||
" nwater = mwater / 18.01528\n",
|
||||
"\n",
|
||||
" z1_pure = nwater / (nwater + nCO2)\n",
|
||||
" z2_pure = nCO2 / (nwater + nCO2)\n",
|
||||
"\n",
|
||||
" zs = [ r2*z1_pure,\n",
|
||||
" r2*z2_pure,\n",
|
||||
" 0.79*(1 - r2*z1_pure - r2*z2_pure),\n",
|
||||
" 0.21*(1 - r2*z1_pure - r2*z2_pure)]\n",
|
||||
"\n",
|
||||
" zijs = [np.round(z,3) for z in zs]\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" \"\"\"define a lambda funtion at the calculated zijs\"\"\"\n",
|
||||
" F_calcT98 = lambda x : calcT98(x,zijs)[0]\n",
|
||||
" \"\"\"solve for T98\"\"\"\n",
|
||||
" T98 = minimize(F_calcT98, x0 = 50 ,method='Nelder-Mead', tol=1e-6) \n",
|
||||
"\n",
|
||||
" \"\"\"append the result and the calculation parameter levels\"\"\"\n",
|
||||
" results.append({'zH2O' : zijs[0],\n",
|
||||
" 'zCO2' : zijs[1],\n",
|
||||
" 'zN2' : zijs[2],\n",
|
||||
" 'zO2' : zijs[3],\n",
|
||||
" 'r1' : r1,\n",
|
||||
" 'r2' : 1-r2,\n",
|
||||
" 'yH2O' : calcT98(T98.x[0],zijs)[1],\n",
|
||||
" 'T98' : T98.x[0]})"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 36,
|
||||
"id": "f666ddb2-00fb-4ef2-b63f-9e6b433fc311",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>zH2O</th>\n",
|
||||
" <th>zCO2</th>\n",
|
||||
" <th>zN2</th>\n",
|
||||
" <th>zO2</th>\n",
|
||||
" <th>r1</th>\n",
|
||||
" <th>r2</th>\n",
|
||||
" <th>yH2O</th>\n",
|
||||
" <th>T98</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>0.109</td>\n",
|
||||
" <td>0.891</td>\n",
|
||||
" <td>-0.000</td>\n",
|
||||
" <td>-0.000</td>\n",
|
||||
" <td>0.05</td>\n",
|
||||
" <td>0.00</td>\n",
|
||||
" <td>0.002403</td>\n",
|
||||
" <td>-19.445789</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>0.104</td>\n",
|
||||
" <td>0.856</td>\n",
|
||||
" <td>0.032</td>\n",
|
||||
" <td>0.008</td>\n",
|
||||
" <td>0.05</td>\n",
|
||||
" <td>0.04</td>\n",
|
||||
" <td>0.002280</td>\n",
|
||||
" <td>-20.161733</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>0.100</td>\n",
|
||||
" <td>0.820</td>\n",
|
||||
" <td>0.063</td>\n",
|
||||
" <td>0.017</td>\n",
|
||||
" <td>0.05</td>\n",
|
||||
" <td>0.08</td>\n",
|
||||
" <td>0.002182</td>\n",
|
||||
" <td>-20.759943</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>0.096</td>\n",
|
||||
" <td>0.784</td>\n",
|
||||
" <td>0.095</td>\n",
|
||||
" <td>0.025</td>\n",
|
||||
" <td>0.05</td>\n",
|
||||
" <td>0.12</td>\n",
|
||||
" <td>0.002085</td>\n",
|
||||
" <td>-21.381680</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>0.091</td>\n",
|
||||
" <td>0.749</td>\n",
|
||||
" <td>0.126</td>\n",
|
||||
" <td>0.034</td>\n",
|
||||
" <td>0.05</td>\n",
|
||||
" <td>0.16</td>\n",
|
||||
" <td>0.001966</td>\n",
|
||||
" <td>-22.193559</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" zH2O zCO2 zN2 zO2 r1 r2 yH2O T98\n",
|
||||
"0 0.109 0.891 -0.000 -0.000 0.05 0.00 0.002403 -19.445789\n",
|
||||
"1 0.104 0.856 0.032 0.008 0.05 0.04 0.002280 -20.161733\n",
|
||||
"2 0.100 0.820 0.063 0.017 0.05 0.08 0.002182 -20.759943\n",
|
||||
"3 0.096 0.784 0.095 0.025 0.05 0.12 0.002085 -21.381680\n",
|
||||
"4 0.091 0.749 0.126 0.034 0.05 0.16 0.001966 -22.193559"
|
||||
]
|
||||
},
|
||||
"execution_count": 36,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"results = pd.DataFrame(results)\n",
|
||||
"results.head()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 37,
|
||||
"id": "9e120445-4d0d-4aee-8edb-7826ff67710c",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th>r2</th>\n",
|
||||
" <th>0.00</th>\n",
|
||||
" <th>0.04</th>\n",
|
||||
" <th>0.08</th>\n",
|
||||
" <th>0.12</th>\n",
|
||||
" <th>0.16</th>\n",
|
||||
" <th>0.20</th>\n",
|
||||
" <th>0.24</th>\n",
|
||||
" <th>0.28</th>\n",
|
||||
" <th>0.32</th>\n",
|
||||
" <th>0.36</th>\n",
|
||||
" <th>0.40</th>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>r1</th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0.050</th>\n",
|
||||
" <td>0.002403</td>\n",
|
||||
" <td>0.002280</td>\n",
|
||||
" <td>0.002182</td>\n",
|
||||
" <td>0.002085</td>\n",
|
||||
" <td>0.001966</td>\n",
|
||||
" <td>0.001871</td>\n",
|
||||
" <td>0.001777</td>\n",
|
||||
" <td>0.001661</td>\n",
|
||||
" <td>0.001568</td>\n",
|
||||
" <td>0.001477</td>\n",
|
||||
" <td>0.001364</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>0.245</th>\n",
|
||||
" <td>0.011811</td>\n",
|
||||
" <td>0.011061</td>\n",
|
||||
" <td>0.010348</td>\n",
|
||||
" <td>0.009669</td>\n",
|
||||
" <td>0.009062</td>\n",
|
||||
" <td>0.008441</td>\n",
|
||||
" <td>0.007846</td>\n",
|
||||
" <td>0.007277</td>\n",
|
||||
" <td>0.006731</td>\n",
|
||||
" <td>0.006208</td>\n",
|
||||
" <td>0.005706</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>0.440</th>\n",
|
||||
" <td>0.021381</td>\n",
|
||||
" <td>0.019616</td>\n",
|
||||
" <td>0.018075</td>\n",
|
||||
" <td>0.016586</td>\n",
|
||||
" <td>0.015214</td>\n",
|
||||
" <td>0.013945</td>\n",
|
||||
" <td>0.012821</td>\n",
|
||||
" <td>0.011722</td>\n",
|
||||
" <td>0.010696</td>\n",
|
||||
" <td>0.009780</td>\n",
|
||||
" <td>0.008878</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>0.635</th>\n",
|
||||
" <td>0.031056</td>\n",
|
||||
" <td>0.028006</td>\n",
|
||||
" <td>0.025211</td>\n",
|
||||
" <td>0.022829</td>\n",
|
||||
" <td>0.020694</td>\n",
|
||||
" <td>0.018694</td>\n",
|
||||
" <td>0.016955</td>\n",
|
||||
" <td>0.015371</td>\n",
|
||||
" <td>0.013863</td>\n",
|
||||
" <td>0.012535</td>\n",
|
||||
" <td>0.011310</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>0.830</th>\n",
|
||||
" <td>0.040917</td>\n",
|
||||
" <td>0.036093</td>\n",
|
||||
" <td>0.032009</td>\n",
|
||||
" <td>0.028500</td>\n",
|
||||
" <td>0.025555</td>\n",
|
||||
" <td>0.022866</td>\n",
|
||||
" <td>0.020486</td>\n",
|
||||
" <td>0.018363</td>\n",
|
||||
" <td>0.016458</td>\n",
|
||||
" <td>0.014797</td>\n",
|
||||
" <td>0.013230</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1.025</th>\n",
|
||||
" <td>0.050890</td>\n",
|
||||
" <td>0.043965</td>\n",
|
||||
" <td>0.038326</td>\n",
|
||||
" <td>0.033781</td>\n",
|
||||
" <td>0.029791</td>\n",
|
||||
" <td>0.026477</td>\n",
|
||||
" <td>0.023494</td>\n",
|
||||
" <td>0.020964</td>\n",
|
||||
" <td>0.018644</td>\n",
|
||||
" <td>0.016579</td>\n",
|
||||
" <td>0.014788</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1.220</th>\n",
|
||||
" <td>0.060927</td>\n",
|
||||
" <td>0.051696</td>\n",
|
||||
" <td>0.044438</td>\n",
|
||||
" <td>0.038565</td>\n",
|
||||
" <td>0.033705</td>\n",
|
||||
" <td>0.029612</td>\n",
|
||||
" <td>0.026114</td>\n",
|
||||
" <td>0.023089</td>\n",
|
||||
" <td>0.020444</td>\n",
|
||||
" <td>0.018112</td>\n",
|
||||
" <td>0.016040</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1.415</th>\n",
|
||||
" <td>0.071202</td>\n",
|
||||
" <td>0.059247</td>\n",
|
||||
" <td>0.050184</td>\n",
|
||||
" <td>0.043050</td>\n",
|
||||
" <td>0.037275</td>\n",
|
||||
" <td>0.032358</td>\n",
|
||||
" <td>0.028355</td>\n",
|
||||
" <td>0.024934</td>\n",
|
||||
" <td>0.021974</td>\n",
|
||||
" <td>0.019388</td>\n",
|
||||
" <td>0.017109</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1.610</th>\n",
|
||||
" <td>0.081214</td>\n",
|
||||
" <td>0.066234</td>\n",
|
||||
" <td>0.055573</td>\n",
|
||||
" <td>0.047118</td>\n",
|
||||
" <td>0.040417</td>\n",
|
||||
" <td>0.034965</td>\n",
|
||||
" <td>0.030437</td>\n",
|
||||
" <td>0.026614</td>\n",
|
||||
" <td>0.023341</td>\n",
|
||||
" <td>0.020505</td>\n",
|
||||
" <td>0.018025</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1.805</th>\n",
|
||||
" <td>0.091741</td>\n",
|
||||
" <td>0.073664</td>\n",
|
||||
" <td>0.060515</td>\n",
|
||||
" <td>0.050717</td>\n",
|
||||
" <td>0.043308</td>\n",
|
||||
" <td>0.037178</td>\n",
|
||||
" <td>0.032291</td>\n",
|
||||
" <td>0.028075</td>\n",
|
||||
" <td>0.024500</td>\n",
|
||||
" <td>0.021514</td>\n",
|
||||
" <td>0.018836</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2.000</th>\n",
|
||||
" <td>0.102358</td>\n",
|
||||
" <td>0.080387</td>\n",
|
||||
" <td>0.065397</td>\n",
|
||||
" <td>0.054160</td>\n",
|
||||
" <td>0.045827</td>\n",
|
||||
" <td>0.039220</td>\n",
|
||||
" <td>0.033845</td>\n",
|
||||
" <td>0.029383</td>\n",
|
||||
" <td>0.025513</td>\n",
|
||||
" <td>0.022305</td>\n",
|
||||
" <td>0.019526</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
"r2 0.00 0.04 0.08 0.12 0.16 0.20 0.24 \\\n",
|
||||
"r1 \n",
|
||||
"0.050 0.002403 0.002280 0.002182 0.002085 0.001966 0.001871 0.001777 \n",
|
||||
"0.245 0.011811 0.011061 0.010348 0.009669 0.009062 0.008441 0.007846 \n",
|
||||
"0.440 0.021381 0.019616 0.018075 0.016586 0.015214 0.013945 0.012821 \n",
|
||||
"0.635 0.031056 0.028006 0.025211 0.022829 0.020694 0.018694 0.016955 \n",
|
||||
"0.830 0.040917 0.036093 0.032009 0.028500 0.025555 0.022866 0.020486 \n",
|
||||
"1.025 0.050890 0.043965 0.038326 0.033781 0.029791 0.026477 0.023494 \n",
|
||||
"1.220 0.060927 0.051696 0.044438 0.038565 0.033705 0.029612 0.026114 \n",
|
||||
"1.415 0.071202 0.059247 0.050184 0.043050 0.037275 0.032358 0.028355 \n",
|
||||
"1.610 0.081214 0.066234 0.055573 0.047118 0.040417 0.034965 0.030437 \n",
|
||||
"1.805 0.091741 0.073664 0.060515 0.050717 0.043308 0.037178 0.032291 \n",
|
||||
"2.000 0.102358 0.080387 0.065397 0.054160 0.045827 0.039220 0.033845 \n",
|
||||
"\n",
|
||||
"r2 0.28 0.32 0.36 0.40 \n",
|
||||
"r1 \n",
|
||||
"0.050 0.001661 0.001568 0.001477 0.001364 \n",
|
||||
"0.245 0.007277 0.006731 0.006208 0.005706 \n",
|
||||
"0.440 0.011722 0.010696 0.009780 0.008878 \n",
|
||||
"0.635 0.015371 0.013863 0.012535 0.011310 \n",
|
||||
"0.830 0.018363 0.016458 0.014797 0.013230 \n",
|
||||
"1.025 0.020964 0.018644 0.016579 0.014788 \n",
|
||||
"1.220 0.023089 0.020444 0.018112 0.016040 \n",
|
||||
"1.415 0.024934 0.021974 0.019388 0.017109 \n",
|
||||
"1.610 0.026614 0.023341 0.020505 0.018025 \n",
|
||||
"1.805 0.028075 0.024500 0.021514 0.018836 \n",
|
||||
"2.000 0.029383 0.025513 0.022305 0.019526 "
|
||||
]
|
||||
},
|
||||
"execution_count": 37,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"df=results.pivot('r1','r2','yH2O')\n",
|
||||
"df"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 38,
|
||||
"id": "1dcb241f-de8d-4dac-b8f1-b261629428c1",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "NameError",
|
||||
"evalue": "name 'plt' is not defined",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_24248/944468034.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdpi\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m100\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mY\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mZ\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmeshgrid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mY\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;31mNameError\u001b[0m: name 'plt' is not defined"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"plt.figure(dpi=100)\n",
|
||||
"X=df.columns.values\n",
|
||||
"Y=df.index.values\n",
|
||||
"Z=df.values\n",
|
||||
"x,y=np.meshgrid(X, Y)\n",
|
||||
"plt.contourf(x, y, Z) #the NAN will be plotted as white spaces\n",
|
||||
"plt.colorbar(label = 'y$_{water}$')\n",
|
||||
"plt.xlabel('mole air / (mole CO$_2$ + H$_2$O)')\n",
|
||||
"plt.ylabel('mass H$_2$O / mass CO$_2$')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "3e1d8849-7598-442f-a80b-95daa51a11ba",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"df=results.pivot('r1','r2','T98')\n",
|
||||
"df"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "c97006bc-911e-40ca-8c0c-271c1c530431",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"plt.figure(dpi=100)\n",
|
||||
"X=df.columns.values\n",
|
||||
"Y=df.index.values\n",
|
||||
"Z=df.values\n",
|
||||
"x,y=np.meshgrid(X, Y)\n",
|
||||
"plt.contourf(x, y, Z) #the NAN will be plotted as white spaces\n",
|
||||
"plt.colorbar(label = 'T$_{98}$,[°C]')\n",
|
||||
"plt.xlabel('mole air / (mole CO$_2$ + H$_2$O)')\n",
|
||||
"plt.ylabel('mass H$_2$O / mass CO$_2$')\n",
|
||||
"plt.show()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "20dec83e-56a6-4100-8730-8e497e6400f1",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "ce2f975b-555e-4a04-a9e6-356628c3b55b",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "00e8aa52-6251-40fe-b1f0-db91080f7472",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@ -1,401 +0,0 @@
|
||||
import warnings
|
||||
from functools import partial, lru_cache
|
||||
from numbers import Number
|
||||
from itertools import count
|
||||
|
||||
import numpy as np
|
||||
from numpy.polynomial import Polynomial
|
||||
from scipy.optimize import minimize_scalar
|
||||
|
||||
# from .converters import *
|
||||
|
||||
|
||||
class Asset:
|
||||
"""Generic class for producing/consuming assets. Specific asset classes can
|
||||
inherit from this class.
|
||||
|
||||
Parameters:
|
||||
-----------
|
||||
max_power : int/float
|
||||
Maximum asset power in MW electric
|
||||
min_power : int/float
|
||||
Minimium asset load in MW electric
|
||||
|
||||
Usage:
|
||||
------
|
||||
Use the set_load and get_load methods to set and get asset status in MW.
|
||||
|
||||
Convention is negative values for inputs (consumption) and positive
|
||||
values for outputs (production).
|
||||
"""
|
||||
|
||||
_freq_to_multiplier = {"H": 1, "15T": (1 / 4), "1T": (1 / 60)}
|
||||
_ids = count(0)
|
||||
|
||||
def __init__(self, name, max_power, min_power):
|
||||
if min_power > max_power:
|
||||
raise ValueError("'min_power' can not be larger than 'max_power'.")
|
||||
|
||||
self.name = name
|
||||
self.id = next(self._ids)
|
||||
self.max_power = max_power
|
||||
self.min_power = min_power
|
||||
self.modes = {"max": max_power, "min": min_power}
|
||||
|
||||
def __repr__(self):
|
||||
return f"{self.__class__.__name__}(self, max_power={self.max_power}, min_power={self.min_power})"
|
||||
|
||||
def set_load(self, load):
|
||||
"""Set Asset load in MW.
|
||||
|
||||
Convention is negative value for consumption and positive value
|
||||
for production. Subclasses might use a different convention if
|
||||
this seems more intiutive.
|
||||
|
||||
Returns the load that is set in MW.
|
||||
"""
|
||||
if load < self.min_power or load > self.max_power:
|
||||
warnings.warn(
|
||||
f"Chosen Asset load for {self.name} is out of range. "
|
||||
f"Should be between {self.min_power} and {self.max_power}. "
|
||||
f"Function will return boundary load level for now."
|
||||
)
|
||||
load = min(max(load, self.min_power), self.max_power)
|
||||
return load
|
||||
|
||||
def set_mode(self, mode):
|
||||
""" """
|
||||
load = self.modes[mode]
|
||||
return self.set_load(load)
|
||||
|
||||
def MW_to_MWh(self, MW):
|
||||
"""Performs conversion from MW to MWh using the time_factor variable."""
|
||||
return MW * self.time_factor
|
||||
|
||||
def MWh_to_MW(self, MWh):
|
||||
"""Performs conversion from MWh to MW using the time_factor variable."""
|
||||
return MWh / self.time_factor
|
||||
|
||||
def set_freq(self, freq):
|
||||
"""
|
||||
Function that aligns time frequency between Model and Asset.
|
||||
Can be '1T', '15T' or 'H'
|
||||
The time_factor variable is used in subclasses to perform MW to MWh conversions.
|
||||
"""
|
||||
self.freq = freq
|
||||
self.time_factor = Asset._freq_to_multiplier[freq]
|
||||
|
||||
def set_financials(self, capex, opex, devex, lifetime=None, depreciate=True, salvage_value=0):
|
||||
"""Set financial data of the asset."""
|
||||
self.capex = capex
|
||||
self.opex = opex
|
||||
self.devex = devex
|
||||
self.lifetime = lifetime
|
||||
self.depreciate = depreciate
|
||||
self.salvage_value = salvage_value
|
||||
|
||||
class WaterStorage(Asset):
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
name,
|
||||
max_power,
|
||||
min_power,
|
||||
roundtrip_eff,
|
||||
energy_density,
|
||||
volume,
|
||||
lifetime,
|
||||
temperature,
|
||||
# max_storagelevel,
|
||||
min_storagelevel
|
||||
):
|
||||
|
||||
if min_power > max_power:
|
||||
raise ValueError("'min_power' can not be larger than 'max_power'.")
|
||||
|
||||
super().__init__(name, max_power, min_power)
|
||||
self.roundtrip_eff = roundtrip_eff
|
||||
self.volume = volume
|
||||
self.lifetime = lifetime
|
||||
self.temperature = temperature
|
||||
self.energy_density = energy_density #MWh/m3
|
||||
self.max_storage_capacity = self.volume * self.energy_density #MWh
|
||||
self.max_storagelevel = self.max_storage_capacity * 0.95
|
||||
self.min_storagelevel = min_storagelevel
|
||||
|
||||
def set_storagelevel(self, storagelevel):
|
||||
"""Set the storagelevel in MWh."""
|
||||
if storagelevel < self.min_storagelevel or storagelevel > self.max_storagelevel:
|
||||
raise ValueError(
|
||||
f"Tried to set Storage Level to {storagelevel}. "
|
||||
f"Storage Level must be a value between "
|
||||
f"{self.min_storagelevel} and {self.max_storagelevel} (in MWh)"
|
||||
)
|
||||
self.storagelevel = storagelevel
|
||||
|
||||
@property
|
||||
def charging_power_limit(self):
|
||||
max_charging_energy = self.max_storagelevel - self.storagelevel
|
||||
return self.MWh_to_MW(max_charging_energy)
|
||||
|
||||
def charge(self, power):
|
||||
energy = self.MW_to_MWh(power)
|
||||
max_charging = self.max_storagelevel - self.storagelevel
|
||||
bounded_energy = min (energy, max_charging)
|
||||
# print('bounded_energy', bounded_energy)
|
||||
new_cl = self.storagelevel + bounded_energy
|
||||
# print('new_cl', new_cl)
|
||||
self.set_storagelevel(new_cl)
|
||||
power = self.MWh_to_MW(bounded_energy)
|
||||
return power
|
||||
|
||||
def discharge(self, power):
|
||||
energy = self.MW_to_MWh(power)
|
||||
max_discharging = self.storagelevel - self.min_storagelevel
|
||||
bounded_energy = min(energy, max_discharging)
|
||||
# print('bounded_energy', bounded_energy)
|
||||
new_cl = self.storagelevel - bounded_energy
|
||||
# print('new_cl', new_cl)
|
||||
self.set_storagelevel(new_cl)
|
||||
power = self.MWh_to_MW(bounded_energy)
|
||||
return power
|
||||
|
||||
def get_soc(self, storagelevel, max_storage_capacity):
|
||||
"""Get the SoC in % (decimal value)"""
|
||||
return self.storagelevel / self.max_storage_capacity
|
||||
|
||||
def set_financials(self,
|
||||
capex_per_MW,
|
||||
capex_per_MWh,
|
||||
opex,
|
||||
devex,
|
||||
lifetime=None,
|
||||
depreciate=True, salvage_value=0):
|
||||
total_capex = (
|
||||
capex_per_MW * self.max_power + capex_per_MWh * self.max_storage_capacity
|
||||
)
|
||||
super().set_financials(
|
||||
total_capex,
|
||||
opex,
|
||||
devex,
|
||||
lifetime=None,
|
||||
depreciate=True,
|
||||
salvage_value=0
|
||||
)
|
||||
|
||||
def __repr__(self):
|
||||
return (
|
||||
f"{self.__class__.__name__}(name={self.name}, max_power={self.max_power}, "
|
||||
f"min_power={self.min_power}, roundtrip_eff={self.roundtrip_eff}, energy_density={self.energy_density}, volume = {self.volume}),"
|
||||
f"lifetime={self.lifetime}, temperature = {self.temperature}, min_storagelevel = {self.min_storagelevel})"
|
||||
)
|
||||
|
||||
|
||||
class Heatpump(Asset):
|
||||
"""Subclass for a Heatpump.
|
||||
|
||||
Use cop parameter to set fixed COP (float/int) or COP curve (func).
|
||||
COP curve should take load in MWhe and return COP.
|
||||
|
||||
Parameters:
|
||||
-----------
|
||||
max_th_power : numeric
|
||||
Maximum thermal output in MW (positive value)
|
||||
cop_curve : numeric or list or function
|
||||
3 ways to set the COP of the Heatpump:
|
||||
(1) Fixed COP based on [numeric] value.
|
||||
(2) Polynomial with coefficients based on [list] input.
|
||||
|
||||
Input coeficients in format [c0, c1, c2, ..., c(n)],
|
||||
will generate Polynomial p(x) = c0 + c1*x + c2*x^2 ... cn*x^n,
|
||||
where x = % thermal load (in % of thermal capacity) as decimal value.
|
||||
|
||||
Example:
|
||||
cop=[1, 2, 3, 4] will result in following COP curve:
|
||||
p(x) = 1 + 2x + 3x**2 + 4x**3,
|
||||
|
||||
(3) [function] in format func(*args, **kwargs)
|
||||
Function should return a Polynomial that takes 'load_perc' as parameter.
|
||||
|
||||
min_th_power : numeric
|
||||
Minimum thermal output in MW (positive value)
|
||||
|
||||
Notes:
|
||||
------
|
||||
Sign convention:
|
||||
Thermal power outputs have positive values
|
||||
Electric power inputs have negative values
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
name,
|
||||
max_th_power,
|
||||
cop_curve,
|
||||
min_th_power=0,
|
||||
):
|
||||
if max_th_power < 0 or min_th_power < 0:
|
||||
raise ValueError("Thermal power can not have negative values.")
|
||||
|
||||
if min_th_power > max_th_power:
|
||||
raise ValueError("'min_th_power' can not be larger than 'max_th_power'.")
|
||||
|
||||
self.name = name
|
||||
self.max_th_power = max_th_power
|
||||
self.min_th_power = min_th_power
|
||||
self.cop_curve = self._set_cop_curve(cop_curve)
|
||||
|
||||
def __repr__(self):
|
||||
return (
|
||||
f"{self.__class__.__name__}(name='{self.name}', max_thermal_power={self.max_th_power}, "
|
||||
f"cop_curve={self.cop_curve}, min_th_power={self.min_th_power})"
|
||||
)
|
||||
|
||||
# Is turning everything into a Polynomial the best solution here?
|
||||
@staticmethod
|
||||
@lru_cache(maxsize=None)
|
||||
def _set_cop_curve(cop_curve):
|
||||
"""Generate COP curve function based on different inputtypes.
|
||||
|
||||
Returns a function that takes *args **kwargs and returns a Polynomial.
|
||||
"""
|
||||
if isinstance(cop_curve, list):
|
||||
|
||||
def func(*args, **kwargs):
|
||||
return Polynomial(cop_curve)
|
||||
|
||||
return func
|
||||
|
||||
return cop_curve
|
||||
|
||||
@lru_cache(maxsize=None)
|
||||
def get_cop(self, heat_output, Tsink=None, Tsource=None):
|
||||
"""Get COP corresponding to certain load.
|
||||
|
||||
Parameters:
|
||||
-----------
|
||||
heat_output : numeric
|
||||
Thermal load in MW
|
||||
Tsink : numeric
|
||||
Sink temperature in degrees celcius
|
||||
Tsource : numeric
|
||||
Source temperature in degrees celcius
|
||||
|
||||
Notes:
|
||||
------
|
||||
Sign convention:
|
||||
Positive values for thermal load
|
||||
Negative values for electric load
|
||||
"""
|
||||
load_perc = heat_output / self.max_th_power
|
||||
cop_curve = self.cop_curve
|
||||
|
||||
if not callable(cop_curve):
|
||||
return cop_curve
|
||||
else:
|
||||
return cop_curve(Tsink=Tsink, Tsource=Tsource)(load_perc)
|
||||
|
||||
def th_to_el_power(self, heat_output, Tsink=None, Tsource=None):
|
||||
if not self.min_th_power <= heat_output <= self.max_th_power:
|
||||
warnings.warn(
|
||||
f"Chosen heat output is out of range [{self.min_th_power} - {self.max_th_power}]. "
|
||||
"Heat output is being limited to the closest boundary."
|
||||
)
|
||||
heat_output = min(max(heat_output, self.min_th_power), self.max_th_power)
|
||||
|
||||
cop = self.get_cop(heat_output=heat_output, Tsink=Tsink, Tsource=Tsource)
|
||||
return -heat_output / cop
|
||||
|
||||
def set_load(self, *args, **kwargs):
|
||||
raise NotImplementedError(
|
||||
"Directly setting the electric load of the heatpump is not possible (yet). "
|
||||
"Functionality will be implemented if there is a specific usecase for it."
|
||||
)
|
||||
|
||||
@lru_cache(maxsize=None)
|
||||
def set_heat_output(self, heat_output, Tsink=None, Tsource=None):
|
||||
"""Set heat output in MWth, returns load of heatpump as tuple (MWe, MWth)"""
|
||||
if not self.min_th_power <= heat_output <= self.max_th_power:
|
||||
warnings.warn(
|
||||
f"Chosen heat output is out of range [{self.min_th_power} - {self.max_th_power}]. "
|
||||
"Heat output is being limited to the closest boundary."
|
||||
)
|
||||
heat_output = min(max(heat_output, self.min_th_power), self.max_th_power)
|
||||
|
||||
if Tsink is not None and Tsource is not None and Tsink <= Tsource:
|
||||
raise ValueError(f"Tsource '{Tsource}' can not be higher than '{Tsink}'.")
|
||||
|
||||
cop = self.get_cop(heat_output=heat_output, Tsink=Tsink, Tsource=Tsource)
|
||||
e_load = -heat_output / cop
|
||||
return e_load, heat_output
|
||||
|
||||
|
||||
def _cost_function(self, x, c1, c2, c3, Tsink=None, Tsource=None):
|
||||
"""Objective function for set_opt_load function.
|
||||
|
||||
x = heatpump thermal load in MW
|
||||
c1 = electricity_cost
|
||||
c2 = alt_heat_price
|
||||
c3 = demand
|
||||
"""
|
||||
return (
|
||||
x / self.get_cop(heat_output=x, Tsink=Tsink, Tsource=Tsource) * c1
|
||||
+ (c3 - x) * c2
|
||||
)
|
||||
|
||||
@lru_cache(maxsize=None)
|
||||
def set_opt_load(
|
||||
self,
|
||||
electricity_cost,
|
||||
alt_heat_price,
|
||||
demand,
|
||||
Tsink=None,
|
||||
Tsource=None,
|
||||
tolerance=0.01,
|
||||
):
|
||||
"""Set optimal load of Heatpump with minimal total heat costs.
|
||||
|
||||
Function uses np.minimize_scalar to minimize cost function.
|
||||
|
||||
Parameters:
|
||||
-----------
|
||||
electricity_cost:
|
||||
Cost of input electricity in €/MWh(e)
|
||||
alt_heat_price:
|
||||
Price of heat from alternative source in €/MWh(th)
|
||||
demand:
|
||||
Heat demand in MW(th)
|
||||
|
||||
Returns:
|
||||
--------
|
||||
Optimal load of heatpump as tuple (MWe, MWth)
|
||||
"""
|
||||
c1 = electricity_cost
|
||||
c2 = alt_heat_price
|
||||
c3 = demand
|
||||
|
||||
cop_curve = self.cop_curve
|
||||
if isinstance(cop_curve, Number):
|
||||
if c1 / cop_curve <= c2:
|
||||
return self.max_th_power
|
||||
else:
|
||||
return self.min_th_power
|
||||
|
||||
obj_func = partial(
|
||||
self._cost_function, c1=c1, c2=c2, c3=c3, Tsink=Tsink, Tsource=Tsource
|
||||
)
|
||||
|
||||
low_bound = 0
|
||||
up_bound = min(c3, self.max_th_power)
|
||||
|
||||
opt_th_load = minimize_scalar(
|
||||
obj_func,
|
||||
bounds=(low_bound, up_bound),
|
||||
method="bounded",
|
||||
options={"xatol": tolerance},
|
||||
).x
|
||||
opt_e_load, opt_th_load = self.set_heat_output(
|
||||
opt_th_load, Tsink=Tsink, Tsource=Tsource
|
||||
)
|
||||
|
||||
return opt_e_load, opt_th_load
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@ -1,306 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 91,
|
||||
"id": "9a36fb7b-b801-4b1a-a521-a975fce88a59",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"The autoreload extension is already loaded. To reload it, use:\n",
|
||||
" %reload_ext autoreload\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from notepad import WaterStorage, Heatpump\n",
|
||||
"\n",
|
||||
"%load_ext autoreload\n",
|
||||
"%autoreload 2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 92,
|
||||
"id": "a5ff1249-285b-486a-87ed-478f0bc19680",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"ws = WaterStorage(\n",
|
||||
" name='MyStorage',\n",
|
||||
" max_power=10,\n",
|
||||
" min_power=-10,\n",
|
||||
" roundtrip_eff=0.90,\n",
|
||||
" energy_density = 50 * 10e-3,\n",
|
||||
" volume = 500,\n",
|
||||
" lifetime = 25,\n",
|
||||
" temperature = 368, #K\n",
|
||||
" min_storagelevel = 5,\n",
|
||||
" max_storagelevel = 23\n",
|
||||
" \n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 93,
|
||||
"id": "8df465b8-6ebb-4426-8d5f-3f476bb771ba",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"ws.set_freq('15T')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 94,
|
||||
"id": "5fc7654b-47b3-4a4c-8a6e-e8bf358c3163",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'name': 'MyStorage',\n",
|
||||
" 'id': 0,\n",
|
||||
" 'max_power': 10,\n",
|
||||
" 'min_power': -10,\n",
|
||||
" 'modes': {'max': 10, 'min': -10},\n",
|
||||
" 'roundtrip_eff': 0.9,\n",
|
||||
" 'volume': 500,\n",
|
||||
" 'lifetime': 25,\n",
|
||||
" 'temperature': 368,\n",
|
||||
" 'energy_density': 0.5,\n",
|
||||
" 'max_storage_capacity': 250.0,\n",
|
||||
" 'max_storagelevel': 23,\n",
|
||||
" 'min_storagelevel': 5,\n",
|
||||
" 'freq': '15T',\n",
|
||||
" 'time_factor': 0.25}"
|
||||
]
|
||||
},
|
||||
"execution_count": 94,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"ws.__dict__\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 95,
|
||||
"id": "134b463f-970f-4884-9e85-cd8afbf042b6",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"ws.set_storagelevel(6)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 96,
|
||||
"id": "f3a0bda9-42c7-449c-8f64-addb478dda77",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"68.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 96,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"ws.charging_power_limit"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 97,
|
||||
"id": "ca46ed52-bb1a-49bc-8c2c-a3ebde535dcc",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"68.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 97,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"ws.charge(100)\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 98,
|
||||
"id": "e2c48c78-2efd-4877-a433-89607df23755",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'name': 'MyStorage',\n",
|
||||
" 'id': 0,\n",
|
||||
" 'max_power': 10,\n",
|
||||
" 'min_power': -10,\n",
|
||||
" 'modes': {'max': 10, 'min': -10},\n",
|
||||
" 'roundtrip_eff': 0.9,\n",
|
||||
" 'volume': 500,\n",
|
||||
" 'lifetime': 25,\n",
|
||||
" 'temperature': 368,\n",
|
||||
" 'energy_density': 0.5,\n",
|
||||
" 'max_storage_capacity': 250.0,\n",
|
||||
" 'max_storagelevel': 23,\n",
|
||||
" 'min_storagelevel': 5,\n",
|
||||
" 'freq': '15T',\n",
|
||||
" 'time_factor': 0.25,\n",
|
||||
" 'storagelevel': 23}"
|
||||
]
|
||||
},
|
||||
"execution_count": 98,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"ws.__dict__"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 99,
|
||||
"id": "dd3724af-d0bc-452d-8a34-d6355818dfd5",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"23"
|
||||
]
|
||||
},
|
||||
"execution_count": 99,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"ws.storagelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 100,
|
||||
"id": "be37c269-698b-44e5-8728-8b7951ed9d49",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"bounded_energy 2.0\n",
|
||||
"new_cl 21.0\n",
|
||||
"Hello\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"8.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 100,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"ws.discharge(8)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 101,
|
||||
"id": "ff2aea69-060c-4d30-992c-bd2039dd856a",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"21.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 101,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"ws.storagelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "8eb63454-86e7-4b99-8a16-8018f76b09e2",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Test storage scenarios.If Storage is empty and charging is working\n",
|
||||
"# If it is full, not overcharged\n",
|
||||
"# Bunlari yoxladiq, discharge islemir ama ona baxmaq lazimdi sonra"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "621a8d5c-bc05-4f5f-9964-ef34fc87a244",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Fluctuated demand, sink source a bax deyir onun ucun CSV file atacam\n",
|
||||
"# Small simulations elemeliyem. 10 quarter hour in a row or 5 quarter hour in a row. This is related with set_freq (1/15). Produce some graphs"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "da624f30-c735-4e1a-941d-4da2f3c4e5d8",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@ -1,128 +0,0 @@
|
||||
# # Added for hot water storage
|
||||
# class Water_storage(Asset):
|
||||
# """Subclass for Asset.
|
||||
|
||||
# Hot water storage is modeled as follows:
|
||||
# - Rated power is power in MW that battery can
|
||||
# import from and export to the grid
|
||||
# - Efficiency loss is applied at charging, meaning that
|
||||
# SoC increase when charging is lower than the SoC decrease
|
||||
# when discharging
|
||||
# """
|
||||
|
||||
# def __init__(
|
||||
# self,
|
||||
# name,
|
||||
# min_capacity,
|
||||
# max_capacity,
|
||||
# power_capex,
|
||||
# capacity_capex,
|
||||
# average_eff,
|
||||
# energy_density,
|
||||
# lifetime,
|
||||
# opex
|
||||
# ):
|
||||
# super().__init__(name=name)
|
||||
# self.min_capacity = min_capacity
|
||||
# self.max_capacity = max_capacity
|
||||
# self.power_capex = power_capex
|
||||
# self.capacity_capex = capacity_capex
|
||||
# self.average_eff = average_eff
|
||||
# self.lifetime = lifetime
|
||||
# self.opex = opex
|
||||
|
||||
|
||||
# def __repr__(self):
|
||||
# return (
|
||||
# f"Battery(self, rated_power={self.max_power}, rated_capacity={self.capacity}, "
|
||||
# f"roundtrip_eff={self.rt_eff}, min_soc={self.min_soc}, max_soc={self.max_soc})"
|
||||
# )
|
||||
|
||||
# def get_soc(self):
|
||||
# """Get the SoC in % (decimal value)"""
|
||||
# return self.chargelevel / self.capacity
|
||||
|
||||
# def set_chargelevel(self, chargelevel):
|
||||
# """Set the chargelevel in MWh. Will automatically change the SoC accordingly."""
|
||||
# if chargelevel < self.min_chargelevel or chargelevel > self.max_chargelevel:
|
||||
# raise ValueError(
|
||||
# f"Tried to set Charge Level to {chargelevel}. "
|
||||
# f"Charge Level must be a value between "
|
||||
# f"{self.min_chargelevel} and {self.max_chargelevel} (in MWh)"
|
||||
# )
|
||||
|
||||
# self.chargelevel = chargelevel
|
||||
|
||||
# def set_load(self, load):
|
||||
# """Set load of the battery.
|
||||
|
||||
# Use negative values for charging and positive values for discharging.
|
||||
# Returns actual chargespeed, considering technical limitations of the battery.
|
||||
|
||||
# Note: We currently assume all efficiency losses occur during charging (no losses during discharge)
|
||||
# """
|
||||
# if not hasattr(self, "freq"):
|
||||
# raise AttributeError(
|
||||
# "Time frequency of the model is not defined. "
|
||||
# "Assign asset to a CaseStudy or use Asset.freq(). "
|
||||
# "to set de time frequency and try again."
|
||||
# )
|
||||
|
||||
# load = super().set_load(load)
|
||||
|
||||
# unbound_charging = self.MW_to_MWh(load)
|
||||
|
||||
# if load < 0:
|
||||
# unbound_charging *= self.rt_eff
|
||||
|
||||
# chargelevel = self.chargelevel
|
||||
# max_charging = chargelevel - self.max_chargelevel
|
||||
# max_discharging = chargelevel - self.min_chargelevel
|
||||
|
||||
# bound_charging = min(max(unbound_charging, max_charging), max_discharging)
|
||||
# newcl = chargelevel - bound_charging
|
||||
# self.set_chargelevel(newcl)
|
||||
|
||||
# if bound_charging < 0:
|
||||
# bound_charging /= self.rt_eff
|
||||
|
||||
# self.cycle_count += abs(bound_charging / (self.capacity * 2))
|
||||
|
||||
# return self.MWh_to_MW(bound_charging)
|
||||
|
||||
# def charge(self, chargespeed):
|
||||
# """Charge the battery with given chargespeed.
|
||||
|
||||
# Redirects to Battery.set_load().
|
||||
# Returns load (negative value for charging).
|
||||
# """
|
||||
# chargespeed = self.max_power if chargespeed == "max" else chargespeed
|
||||
|
||||
# if chargespeed < 0:
|
||||
# raise ValueError(
|
||||
# f"Chargespeed should be always be a positive value by convention. "
|
||||
# f"Inserted {chargespeed}."
|
||||
# )
|
||||
|
||||
# chargespeed = self.set_load(-chargespeed)
|
||||
|
||||
# return chargespeed
|
||||
|
||||
# def discharge(self, dischargespeed):
|
||||
# """Discharge the battery by given amount.
|
||||
|
||||
# Redirects to Battery.set_load().
|
||||
# Returns load (positive value for discharging).
|
||||
# """
|
||||
# dischargespeed = self.max_power if dischargespeed == "max" else dischargespeed
|
||||
|
||||
# if dischargespeed < 0:
|
||||
# raise ValueError(
|
||||
# f"Dischargespeed should be always be a positive value by convention. "
|
||||
# f"Inserted {dischargespeed}."
|
||||
# )
|
||||
|
||||
# dischargespeed = self.set_load(dischargespeed)
|
||||
|
||||
# return dischargespeed
|
||||
|
||||
@ -1,640 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 35,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"The autoreload extension is already loaded. To reload it, use:\n",
|
||||
" %reload_ext autoreload\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from notepad import WaterStorage\n",
|
||||
"\n",
|
||||
"%load_ext autoreload\n",
|
||||
"%autoreload 2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Developments steps to take: \n",
|
||||
"* Test the WaterStorage\n",
|
||||
"* Create some example for WaterStorage\n",
|
||||
"* Define interactions WaterStorage <> Heatpump\n",
|
||||
"* Create some example for WaterStorage + Heatpump\n",
|
||||
"* Develop the interactions --> Create working examples"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## WaterStorage"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Functional requirements for the WaterStorage:\n",
|
||||
"* Given: \n",
|
||||
" * Size / capacity\n",
|
||||
" * Temperature in/out\n",
|
||||
" * Max power\n",
|
||||
" * Roundtripp efficiency\n",
|
||||
"* It should be able to execute commands, like: \n",
|
||||
" * Charge\n",
|
||||
" * Discharge\n",
|
||||
" * Whats the storage level? \n",
|
||||
" * Assign financials \n",
|
||||
" * Take into account storage losses (time dependent)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 36,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"waterstorage = WaterStorage(\n",
|
||||
" name='MyStorage',\n",
|
||||
" max_power=10,\n",
|
||||
" min_power=-10,\n",
|
||||
" roundtrip_eff=0.90,\n",
|
||||
" energy_density = 50 * 10e-3,\n",
|
||||
" volume = 500,\n",
|
||||
" lifetime = 25,\n",
|
||||
" temperature = 368, #K\n",
|
||||
" min_storagelevel = 5,\n",
|
||||
" max_storagelevel = 23\n",
|
||||
" \n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 37,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"waterstorage.set_freq('15T')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 38,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"15"
|
||||
]
|
||||
},
|
||||
"execution_count": 38,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.set_storagelevel(15)\n",
|
||||
"waterstorage.storagelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 39,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"32.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 39,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charging_power_limit"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 40,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"32.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 40,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charge(100)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 41,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"23"
|
||||
]
|
||||
},
|
||||
"execution_count": 41,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.storagelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 42,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"0.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 42,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charge(100)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 43,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"50.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 43,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.discharge(50)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def test_heatpump_and_waterstorage_system(Tsink, Tsource, process_demand_MW, e_price, waterstorage_level):\n",
|
||||
" \"\"\"\n",
|
||||
" 1. Follow a certain logic based on given price:\n",
|
||||
" - If price is low --> Heatpump at full power, and charge the heatbuffer\n",
|
||||
" - If price is high --> Discharge the heat buffer, and increase Tsource, which will increase COP\n",
|
||||
" 2. Above logic should adhere to a couple of constraints:\n",
|
||||
" - Storage levels\n",
|
||||
" - Capacity of the heat pump \n",
|
||||
" - Process demand\n",
|
||||
" - ....\n",
|
||||
" 3. This function should contain: \n",
|
||||
" - Heat pump \n",
|
||||
" - Water storage\n",
|
||||
" - Interactions / logic between them\n",
|
||||
" 4. Output of the function:\n",
|
||||
" - Power of the heatpump \n",
|
||||
" - \"New\" water storage level\n",
|
||||
" \"\"\"\n",
|
||||
" waterstorage.storage_level = waterstorage_level\n",
|
||||
" \n",
|
||||
" if price > 100:\n",
|
||||
" hp_load = heatpump.set_load('max')\n",
|
||||
" energy_to_storage = hp_load - demand\n",
|
||||
" waterstorage.charge(energy_to_storage)\n",
|
||||
" waterstorage_level = waterstorage.storage_level\n",
|
||||
" if price < 50:\n",
|
||||
" energy_from_storage = waterstorage.discharge('max')\n",
|
||||
" waterstorage_level = waterstorage.storage_level\n",
|
||||
" new_Tsource = Tsource_calc(Tsource, energy_from_storage)\n",
|
||||
" new_COP = cop_calc(new_Tsource, Tsink) \n",
|
||||
" hp_load = heatpump.set_load(demand, new_COP)\n",
|
||||
" return hp_load, waterstorage_level\n",
|
||||
" \n",
|
||||
"hp_load, waterstorage_level = test_heatpump_waterstorage_system(\n",
|
||||
" Tsink = 373+100, \n",
|
||||
" Tsoucre = 373+50, \n",
|
||||
" process_demand = 20, \n",
|
||||
" e_price = 150, \n",
|
||||
" waterstorage_level = 0.50\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"# Expected behaviour: \n",
|
||||
" # hp_heat_output == demand\n",
|
||||
" # hp source temparture > than before\n",
|
||||
" # waterstorage_level < than before\n",
|
||||
" # hp cop > higher than before\n",
|
||||
"hp_load, waterstorage_level"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 44,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"Tsink = 413 #K\n",
|
||||
"Tsource = 333 #K\n",
|
||||
"Tref = 273 #K\n",
|
||||
"hp_capacity = 31 #MW\n",
|
||||
"demand = 25 #MW\n",
|
||||
"Cp = 4190 #J/kgK\n",
|
||||
"MW_to_J_per_s = 1000_000\n",
|
||||
"hp_capacity *= MW_to_J_per_s\n",
|
||||
"demand *= MW_to_J_per_s"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 45,
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"52.84691442209342"
|
||||
]
|
||||
},
|
||||
"execution_count": 45,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def hp_mass_flow (hp_capacity, Tsink, Tref, Cp):\n",
|
||||
" return hp_capacity /(Cp*(Tsink - Tref)) \n",
|
||||
"hp_mass_flow (31_000_000, 413, 273, 4190)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 46,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"42.61847937265598"
|
||||
]
|
||||
},
|
||||
"execution_count": 46,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def process_mass_flow (demand, Tsink, Tref, Cp):\n",
|
||||
" return demand /(Cp*(Tsink - Tref)) \n",
|
||||
"process_mass_flow (25_000_000, 413, 273, 4190)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 47,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"5.866"
|
||||
]
|
||||
},
|
||||
"execution_count": 47,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"charge_mass_flow = 52 - 42 #can be written as a functiality\n",
|
||||
"charged_heat = (charge_mass_flow * Cp * (Tsink - Tref)) / MW_to_J_per_s\n",
|
||||
"charged_heat"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# charge_mass_flow = 52 - 42 #should be written as function\n",
|
||||
"# def charge_heat (charge_mass_flow, Cp, Tsink, Tref, MW_to_J_per_s):\n",
|
||||
"# return (charge_mass_flow * Cp * (Tsink - Tref)) / MW_to_J_per_s\n",
|
||||
"# charge_heat (10, 4190, 413, 273, 1000_000)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 49,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# def source_mass_flow (demand, Tsource, Tref, Cp):\n",
|
||||
"# return demand /(Cp*(Tsource - Tref)) \n",
|
||||
"# source_mass_flow (25_000_000, 333, 273, 4190) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 50,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"2.514"
|
||||
]
|
||||
},
|
||||
"execution_count": 50,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# efficiency = 0.7\n",
|
||||
"Tstorage = 95 + 273\n",
|
||||
"discharge_mass_flow = charge_mass_flow\n",
|
||||
"discharged_heat = (discharge_mass_flow * Cp * (Tsource - Tref)) / MW_to_J_per_s\n",
|
||||
"discharged_heat\n",
|
||||
"# mass flows need to be balanced not energy\n",
|
||||
"#This energy loss is because storage is charged with high temperature and discharged with low.\n",
|
||||
"# heat loss can be neglected assuming that storage is well-insulated."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 56,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"66.73076923076923"
|
||||
]
|
||||
},
|
||||
"execution_count": 56,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Tsource_new = (discharge_mass_flow * T_discharge + Tsource * source_mass_flow) / (discharge_mass_flow + source_mass_flow)\n",
|
||||
"Tsource_new = (10 * 95 + 60*42) / (10+42)\n",
|
||||
"Tsource_new\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 57,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"5.636745406824146"
|
||||
]
|
||||
},
|
||||
"execution_count": 57,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"Tsource_new +=273\n",
|
||||
"COP_new = Tsink / (Tsink - Tsource_new)\n",
|
||||
"COP_new"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 53,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"dict_keys(['name', 'id', 'max_power', 'min_power', 'modes', 'roundtrip_eff', 'volume', 'lifetime', 'temperature', 'energy_density', 'max_storage_capacity', 'max_storagelevel', 'min_storagelevel', 'freq', 'time_factor', 'storagelevel'])"
|
||||
]
|
||||
},
|
||||
"execution_count": 53,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.__dict__.keys()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 128,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"23.2"
|
||||
]
|
||||
},
|
||||
"execution_count": 128,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# max_storage_capacity is in MWh and it should inherit MWh to MW conversion from Assets\n",
|
||||
"# MW = MWh / self.time_factor\n",
|
||||
"waterstorage.max_storage_capacity"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 129,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# chargelevel = self.chargelevel\n",
|
||||
"# max_charging = chargelevel - self.max_chargelevel\n",
|
||||
"# max_discharging = chargelevel - self.min_chargelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 130,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"18.2"
|
||||
]
|
||||
},
|
||||
"execution_count": 130,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Funtionality: Set the storage level\n",
|
||||
"waterstorage.storagelevel = 15\n",
|
||||
"waterstorage.max_storagelevel = 23.2\n",
|
||||
"waterstorage.min_storagelevel = 5\n",
|
||||
"# waterstorage.max_charging = waterstorage.max_storagelevel - waterstorage.storagelevel\n",
|
||||
"# waterstorage.max_discharging = waterstorage.max_storagelevel - waterstorage.min_storagelevel\n",
|
||||
"waterstorage.max_discharging"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 131,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"20"
|
||||
]
|
||||
},
|
||||
"execution_count": 131,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Functionality: Charge the storage\n",
|
||||
"waterstorage.storage_level = 15\n",
|
||||
"waterstorage.charge = 5\n",
|
||||
"waterstorage.storage_level += waterstorage.charge\n",
|
||||
"waterstorage.storage_level"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 132,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"11"
|
||||
]
|
||||
},
|
||||
"execution_count": 132,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Functionality: Discharge the storage\n",
|
||||
"waterstorage.storage_level = 15\n",
|
||||
"waterstorage.discharge = 4\n",
|
||||
"waterstorage.storage_level -= waterstorage.discharge\n",
|
||||
"waterstorage.storage_level"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## WaterStorage + Heatpump system"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Functional requirements for the WaterStorage + Heatpump system:\n",
|
||||
"1. Goal (Funtional requirements): \n",
|
||||
" * Given (context)\n",
|
||||
" * price (forecast), \n",
|
||||
" * source and sink temperature (provided by process), \n",
|
||||
" * process heat demand, \n",
|
||||
" * storage level of the water storage (temperature level)\n",
|
||||
"* I want to know:\n",
|
||||
" * Heat output from the heatpump (in MW)\n",
|
||||
" * New storage level / temperature level\n",
|
||||
" * Electricity consumption of the heatpump"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.10.9"
|
||||
},
|
||||
"widgets": {
|
||||
"application/vnd.jupyter.widget-state+json": {
|
||||
"state": {},
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
@ -1,625 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 78,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"The autoreload extension is already loaded. To reload it, use:\n",
|
||||
" %reload_ext autoreload\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from notepad import WaterStorage\n",
|
||||
"\n",
|
||||
"%load_ext autoreload\n",
|
||||
"%autoreload 2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Developments steps to take: \n",
|
||||
"* Test the WaterStorage\n",
|
||||
"* Create some example for WaterStorage\n",
|
||||
"* Define interactions WaterStorage <> Heatpump\n",
|
||||
"* Create some example for WaterStorage + Heatpump\n",
|
||||
"* Develop the interactions --> Create working examples"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## WaterStorage"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Functional requirements for the WaterStorage:\n",
|
||||
"* Given: \n",
|
||||
" * Size / capacity\n",
|
||||
" * Temperature in/out\n",
|
||||
" * Max power\n",
|
||||
" * Roundtripp efficiency\n",
|
||||
"* It should be able to execute commands, like: \n",
|
||||
" * Charge\n",
|
||||
" * Discharge\n",
|
||||
" * Whats the storage level? \n",
|
||||
" * Assign financials \n",
|
||||
" * Take into account storage losses (time dependent)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 79,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"waterstorage = WaterStorage(\n",
|
||||
" name='MyStorage',\n",
|
||||
" max_power=10,\n",
|
||||
" min_power=-10,\n",
|
||||
" roundtrip_eff=0.90,\n",
|
||||
" energy_density = 50 * 10e-3,\n",
|
||||
" volume = 500,\n",
|
||||
" lifetime = 25,\n",
|
||||
" temperature = 368, #K\n",
|
||||
" min_storagelevel = 5,\n",
|
||||
" max_storagelevel = 23\n",
|
||||
" \n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 80,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"waterstorage.set_freq('15T')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 81,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"15"
|
||||
]
|
||||
},
|
||||
"execution_count": 81,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.set_storagelevel(15)\n",
|
||||
"waterstorage.storagelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 82,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"32.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 82,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charging_power_limit"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 83,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"32.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 83,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charge(100)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 84,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"23"
|
||||
]
|
||||
},
|
||||
"execution_count": 84,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.storagelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 85,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"0.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 85,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charge(100)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 86,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"50.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 86,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.discharge(50)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 87,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"Tsink = 413 #K\n",
|
||||
"Tsource = 333 #K\n",
|
||||
"Tref = 273 #K\n",
|
||||
"hp_capacity = 31 #MW\n",
|
||||
"demand = 25 #MW\n",
|
||||
"Cp = 4190 #J/kgK\n",
|
||||
"MW_to_J_per_s = 1000_000\n",
|
||||
"hp_capacity *= MW_to_J_per_s\n",
|
||||
"demand *= MW_to_J_per_s"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 88,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"52.84691442209342"
|
||||
]
|
||||
},
|
||||
"execution_count": 88,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def hp_mass_flow (hp_capacity, Tsink, Tref, Cp):\n",
|
||||
" return hp_capacity /(Cp*(Tsink - Tref)) \n",
|
||||
"hp_mass_flow = hp_mass_flow (hp_capacity, Tsink, Tref, Cp)\n",
|
||||
"hp_mass_flow"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 89,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"42.61847937265598"
|
||||
]
|
||||
},
|
||||
"execution_count": 89,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def process_mass_flow (demand, Tsink, Tref, Cp):\n",
|
||||
" return demand /(Cp*(Tsink - Tref)) \n",
|
||||
"process_mass_flow = process_mass_flow (demand, Tsink, Tref, Cp)\n",
|
||||
"process_mass_flow\n",
|
||||
"# What would be the difference here with using equation or a function?"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 90,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"6.000000000000001"
|
||||
]
|
||||
},
|
||||
"execution_count": 90,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"charge_mass_flow = hp_mass_flow - process_mass_flow\n",
|
||||
"charged_heat = (charge_mass_flow * Cp * (Tsink - Tref)) / MW_to_J_per_s\n",
|
||||
"charged_heat"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 91,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"13.263157894736842"
|
||||
]
|
||||
},
|
||||
"execution_count": 91,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"efficiency = 0.9\n",
|
||||
"Tstorage = 95 + 273\n",
|
||||
"discharged_heat = 5.866 * efficiency #MW\n",
|
||||
"discharged_heat *= MW_to_J_per_s \n",
|
||||
"discharge_mass_flow = discharged_heat /(Cp*(Tstorage - Tref))\n",
|
||||
"discharge_mass_flow\n",
|
||||
"\n",
|
||||
"# energy is balanced here, mass in is smaller than mass out meaning that there should be extra inlet to ensure the water level\n",
|
||||
"#This energy loss is because storage is charged with high temperature and discharged with low.\n",
|
||||
"# heat loss can be neglected assuming that storage is well-insulated."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 102,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# new_Tsource = (Tstorage * discharge_mass_flow + Tsource * process_mass_flow) / (discharge_mass_flow + process_mass_flow)\n",
|
||||
"# new_Tsource"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 103,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# COP_new = Tsink / (Tsink - new_Tsource)\n",
|
||||
"# COP_new"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 104,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"dict_keys(['name', 'id', 'max_power', 'min_power', 'modes', 'roundtrip_eff', 'volume', 'lifetime', 'temperature', 'energy_density', 'max_storage_capacity', 'max_storagelevel', 'min_storagelevel', 'freq', 'time_factor', 'storagelevel', 'storage_level', 'discharged_energy'])"
|
||||
]
|
||||
},
|
||||
"execution_count": 104,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.__dict__.keys()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 105,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"250.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 105,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# max_storage_capacity is in MWh and it should inherit MWh to MW conversion from Assets\n",
|
||||
"# MW = MWh / self.time_factor\n",
|
||||
"waterstorage.max_storage_capacity"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 106,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "NameError",
|
||||
"evalue": "name 'heatpump' is not defined",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_28956/49643541.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 43\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mhp_load\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwaterstorage_level\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 44\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 45\u001b[1;33m hp_load, waterstorage_level = test_heatpump_and_waterstorage_system(\n\u001b[0m\u001b[0;32m 46\u001b[0m \u001b[0mTsink\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m140\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m273\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[0mTsource\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m60\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m273\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_28956/49643541.py\u001b[0m in \u001b[0;36mtest_heatpump_and_waterstorage_system\u001b[1;34m(Tsink, Tsource, process_demand_MW, e_price, waterstorage_level)\u001b[0m\n\u001b[0;32m 40\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mTsink\u001b[0m \u001b[1;33m/\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mnew_Tsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 41\u001b[0m \u001b[0mnew_COP\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mCOP_calculation\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m413\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m341\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 42\u001b[1;33m \u001b[0mhp_load\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mheatpump\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_load\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprocess_demand_MW\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_COP\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 43\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mhp_load\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwaterstorage_level\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 44\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;31mNameError\u001b[0m: name 'heatpump' is not defined"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def test_heatpump_and_waterstorage_system(Tsink, Tsource, process_demand_MW, e_price, waterstorage_level):\n",
|
||||
" \"\"\"\n",
|
||||
" 1. Follow a certain logic based on given price:\n",
|
||||
" - If price is low --> Heatpump at full power, and charge the heatbuffer\n",
|
||||
" - If price is high --> Discharge the heat buffer, and increase Tsource, which will increase COP\n",
|
||||
" 2. Above logic should adhere to a couple of constraints:\n",
|
||||
" - Storage levels\n",
|
||||
" - Capacity of the heat pump \n",
|
||||
" - Process demand\n",
|
||||
" - ....\n",
|
||||
" 3. This function should contain: \n",
|
||||
" - Heat pump \n",
|
||||
" - Water storage\n",
|
||||
" - Interactions / logic between them\n",
|
||||
" 4. Output of the function:\n",
|
||||
" - Power of the heatpump \n",
|
||||
" - \"New\" water storage level\n",
|
||||
" \"\"\"\n",
|
||||
" waterstorage.storage_level = waterstorage_level\n",
|
||||
" \n",
|
||||
" if e_price < 50:\n",
|
||||
" hp_load = heatpump.set_load('max')\n",
|
||||
" energy_to_storage = hp_load - process_demand_MW\n",
|
||||
" waterstorage.charge(energy_to_storage)\n",
|
||||
" waterstorage.charged_energy = waterstorage.MW_to_MWh(energy_to_storage)\n",
|
||||
" waterstorage_level = waterstorage.storage_level\n",
|
||||
" new_cl = waterstorage.storage_level + waterstorage.charged_energy\n",
|
||||
" if e_price > 100:\n",
|
||||
" energy_from_storage = discharged_heat\n",
|
||||
" waterstorage_level = waterstorage.storage_level\n",
|
||||
" waterstorage.discharged_energy = waterstorage.MW_to_MWh(energy_from_storage)\n",
|
||||
" new_cl = waterstorage.storage_level - waterstorage.discharged_energy\n",
|
||||
" def Tsource_calculation(Tstorage, discharge_mass_flow, Tsource, process_mass_flow):\n",
|
||||
" return (\n",
|
||||
" (Tstorage * discharge_mass_flow + Tsource * process_mass_flow)\n",
|
||||
" / (discharge_mass_flow + process_mass_flow)\n",
|
||||
" )\n",
|
||||
" new_Tsource = Tsource_calculation(Tstorage, discharge_mass_flow, Tsource, process_mass_flow)\n",
|
||||
" def COP_calculation (Tsink, new_Tsource):\n",
|
||||
" return Tsink / (Tsink - new_Tsource)\n",
|
||||
" new_COP = COP_calculation (Tsink, new_Tsource)\n",
|
||||
" hp_load = heatpump.set_load(process_demand_MW, new_COP)\n",
|
||||
" return hp_load, waterstorage_level\n",
|
||||
" \n",
|
||||
"hp_load, waterstorage_level = test_heatpump_and_waterstorage_system(\n",
|
||||
" Tsink = 140+273, \n",
|
||||
" Tsource = 60+273, \n",
|
||||
" process_demand_MW = 25, \n",
|
||||
" e_price = 150, \n",
|
||||
" waterstorage_level = 5\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"# Expected behaviour: \n",
|
||||
" # hp_heat_output == demand\n",
|
||||
" # hp source temparture > than before\n",
|
||||
" # waterstorage_level < than before\n",
|
||||
" # hp cop > higher than before\n",
|
||||
"hp_load, waterstorage_level"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## WaterStorage + Heatpump system"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Functional requirements for the WaterStorage + Heatpump system:\n",
|
||||
"1. Goal (Funtional requirements): \n",
|
||||
" * Given (context)\n",
|
||||
" * price (forecast), \n",
|
||||
" * source and sink temperature (provided by process), \n",
|
||||
" * process heat demand, \n",
|
||||
" * storage level of the water storage (temperature level)\n",
|
||||
"* I want to know:\n",
|
||||
" * Heat output from the heatpump (in MW)\n",
|
||||
" * New storage level / temperature level\n",
|
||||
" * Electricity consumption of the heatpump"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Previous examples"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# def hp_mass_flow (hp_capacity, Tsink, Tref, Cp):\n",
|
||||
"# return hp_capacity /(Cp*(Tsink - Tref)) \n",
|
||||
"# hp_mass_flow (31_000_000, 413, 273, 4190)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# def process_mass_flow (demand, Tsink, Tref, Cp):\n",
|
||||
"# return demand /(Cp*(Tsink - Tref)) \n",
|
||||
"# process_mass_flow (25_000_000, 413, 273, 4190)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# charge_mass_flow = 52 - 42 #should be written as function\n",
|
||||
"# def charge_heat (charge_mass_flow, Cp, Tsink, Tref, MW_to_J_per_s):\n",
|
||||
"# return (charge_mass_flow * Cp * (Tsink - Tref)) / MW_to_J_per_s\n",
|
||||
"# charge_heat (10, 4190, 413, 273, 1000_000)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Tsource_new = (discharge_mass_flow * T_discharge + Tsource * source_mass_flow) / (discharge_mass_flow + source_mass_flow)\n",
|
||||
"Tsource_new = (13 * 95 + 60*42) / (13+42)\n",
|
||||
"Tsource_new"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# chargelevel = self.chargelevel\n",
|
||||
"# max_charging = chargelevel - self.max_chargelevel\n",
|
||||
"# max_discharging = chargelevel - self.min_chargelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Funtionality: Set the storage level\n",
|
||||
"waterstorage.storagelevel = 15\n",
|
||||
"waterstorage.max_storagelevel = 23.2\n",
|
||||
"waterstorage.min_storagelevel = 5\n",
|
||||
"# waterstorage.max_charging = waterstorage.max_storagelevel - waterstorage.storagelevel\n",
|
||||
"# waterstorage.max_discharging = waterstorage.max_storagelevel - waterstorage.min_storagelevel\n",
|
||||
"waterstorage.max_discharging"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Functionality: Charge the storage\n",
|
||||
"waterstorage.storage_level = 15\n",
|
||||
"waterstorage.charge = 5\n",
|
||||
"waterstorage.storage_level += waterstorage.charge\n",
|
||||
"waterstorage.storage_level"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Functionality: Discharge the storage\n",
|
||||
"waterstorage.storage_level = 15\n",
|
||||
"waterstorage.discharge = 4\n",
|
||||
"waterstorage.storage_level -= waterstorage.discharge\n",
|
||||
"waterstorage.storage_level"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.5"
|
||||
},
|
||||
"widgets": {
|
||||
"application/vnd.jupyter.widget-state+json": {
|
||||
"state": {},
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
@ -1,896 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 40,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"The autoreload extension is already loaded. To reload it, use:\n",
|
||||
" %reload_ext autoreload\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from notepad import WaterStorage, Heatpump\n",
|
||||
"\n",
|
||||
"%load_ext autoreload\n",
|
||||
"%autoreload 2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Developments steps to take: \n",
|
||||
"* Test the WaterStorage\n",
|
||||
"* Create some example for WaterStorage\n",
|
||||
"* Define interactions WaterStorage <> Heatpump\n",
|
||||
"* Create some example for WaterStorage + Heatpump\n",
|
||||
"* Develop the interactions --> Create working examples"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## WaterStorage"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Functional requirements for the WaterStorage:\n",
|
||||
"* Given: \n",
|
||||
" * Size / capacity\n",
|
||||
" * Temperature in/out\n",
|
||||
" * Max power\n",
|
||||
" * Roundtripp efficiency\n",
|
||||
"* It should be able to execute commands, like: \n",
|
||||
" * Charge\n",
|
||||
" * Discharge\n",
|
||||
" * Whats the storage level? \n",
|
||||
" * Assign financials \n",
|
||||
" * Take into account storage losses (time dependent)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 41,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "TypeError",
|
||||
"evalue": "__init__() got an unexpected keyword argument 'max_storagelevel'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_3084/3609036661.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m waterstorage = WaterStorage(\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'MyStorage'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mmax_power\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mmin_power\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mroundtrip_eff\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.90\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;31mTypeError\u001b[0m: __init__() got an unexpected keyword argument 'max_storagelevel'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage = WaterStorage(\n",
|
||||
" name='MyStorage',\n",
|
||||
" max_power=10,\n",
|
||||
" min_power=-10,\n",
|
||||
" roundtrip_eff=0.90,\n",
|
||||
" energy_density = 50 * 1e-3,\n",
|
||||
" volume = 1000,\n",
|
||||
" lifetime = 25,\n",
|
||||
" temperature = 368, #K\n",
|
||||
" min_storagelevel = 5,\n",
|
||||
" max_storagelevel = 45\n",
|
||||
" \n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 42,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"waterstorage.set_freq('15T')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 43,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"5"
|
||||
]
|
||||
},
|
||||
"execution_count": 43,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.set_storagelevel(5)\n",
|
||||
"waterstorage.storagelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 44,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"160.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 44,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charging_power_limit"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 45,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"100.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 45,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charge(100)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"bounded_energy 15.0\n",
|
||||
"new_cl 45.0\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"60.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.charge(300)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"45.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 19,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.storagelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 20,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# waterstorage.charge(100)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"bounded_energy 40.0\n",
|
||||
"new_cl 5.0\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"160.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.discharge(200)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"Tsink = 413 #K\n",
|
||||
"Tsource = 333 #K\n",
|
||||
"Tref = 273 #K\n",
|
||||
"hp_capacity = 31 #MW\n",
|
||||
"demand = 25 #MW\n",
|
||||
"Cp = 4190 #J/kgK\n",
|
||||
"MW_to_J_per_s = 1000_000\n",
|
||||
"hp_capacity *= MW_to_J_per_s\n",
|
||||
"demand *= MW_to_J_per_s"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"52.84691442209342"
|
||||
]
|
||||
},
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def hp_mass_flow (hp_capacity, Tsink, Tref, Cp):\n",
|
||||
" return hp_capacity /(Cp*(Tsink - Tref)) \n",
|
||||
"hp_mass_flow = hp_mass_flow (hp_capacity, Tsink, Tref, Cp)\n",
|
||||
"hp_mass_flow"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 24,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"42.61847937265598"
|
||||
]
|
||||
},
|
||||
"execution_count": 24,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def process_mass_flow (demand, Tsink, Tref, Cp):\n",
|
||||
" return demand /(Cp*(Tsink - Tref)) \n",
|
||||
"process_mass_flow = process_mass_flow (demand, Tsink, Tref, Cp)\n",
|
||||
"process_mass_flow\n",
|
||||
"# What would be the difference here with using equation or a function?"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 51,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"6.0000001202836994"
|
||||
]
|
||||
},
|
||||
"execution_count": 51,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# charge_mass_flow = 49.874963 - 40.221745\n",
|
||||
"charged_heat = (10.084152 * Cp * (142.003109- 0)) / MW_to_J_per_s\n",
|
||||
"charged_heat\n",
|
||||
"# 1st simulation"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 57,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"13.566135179639064"
|
||||
]
|
||||
},
|
||||
"execution_count": 57,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"discharged_heat = 6.0000001202836994*efficiency\n",
|
||||
"discharge_mass_flow = discharged_heat * MW_to_J_per_s /(Cp*(95 - 0))\n",
|
||||
"discharge_mass_flow"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 49,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"6.000000181313592"
|
||||
]
|
||||
},
|
||||
"execution_count": 49,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"charged_heat = (9.653219 * Cp * (148.342325- 0)) / MW_to_J_per_s\n",
|
||||
"charged_heat\n",
|
||||
"# 10th simulation"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 56,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"13.566135317629023"
|
||||
]
|
||||
},
|
||||
"execution_count": 56,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"discharged_heat = 6.000000181313592*efficiency\n",
|
||||
"discharge_mass_flow = discharged_heat * MW_to_J_per_s /(Cp*(95 - 0))\n",
|
||||
"discharge_mass_flow"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"charge_mass_flow = hp_mass_flow - process_mass_flow\n",
|
||||
"charged_heat = (charge_mass_flow * Cp * (Tsink - Tref)) / MW_to_J_per_s\n",
|
||||
"charged_heat"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 26,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"13.566134907674918"
|
||||
]
|
||||
},
|
||||
"execution_count": 26,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"efficiency = 0.9\n",
|
||||
"Tstorage = 95 + 273\n",
|
||||
"discharged_heat = charged_heat * efficiency #MW\n",
|
||||
"discharged_heat *= MW_to_J_per_s \n",
|
||||
"discharge_mass_flow = discharged_heat /(Cp*(Tstorage - Tref))\n",
|
||||
"discharge_mass_flow\n",
|
||||
"\n",
|
||||
"# energy is balanced here, mass in is smaller than mass out meaning that there should be extra inlet to ensure the water level\n",
|
||||
"#This energy loss is because storage is charged with high temperature and discharged with low.\n",
|
||||
"# heat loss can be neglected assuming that storage is well-insulated."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"13.566135179639064"
|
||||
]
|
||||
},
|
||||
"execution_count": 48,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"discharged_heat = 6.0000001202836994 * efficiency #MW\n",
|
||||
"discharged_heat *= MW_to_J_per_s \n",
|
||||
"discharge_mass_flow = discharged_heat /(Cp*(Tstorage - Tref))\n",
|
||||
"discharge_mass_flow"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 27,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# new_Tsource = (Tstorage * discharge_mass_flow + Tsource * process_mass_flow) / (discharge_mass_flow + process_mass_flow)\n",
|
||||
"# new_Tsource"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# COP_new = Tsink / (Tsink - new_Tsource)\n",
|
||||
"# COP_new"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"dict_keys(['name', 'id', 'max_power', 'min_power', 'modes', 'roundtrip_eff', 'volume', 'lifetime', 'temperature', 'energy_density', 'max_storage_capacity', 'max_storagelevel', 'min_storagelevel', 'freq', 'time_factor', 'storagelevel'])"
|
||||
]
|
||||
},
|
||||
"execution_count": 29,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"waterstorage.__dict__.keys()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"50.0"
|
||||
]
|
||||
},
|
||||
"execution_count": 30,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# max_storage_capacity is in MWh and it should inherit MWh to MW conversion from Assets\n",
|
||||
"# MW = MWh / self.time_factor\n",
|
||||
"waterstorage.max_storage_capacity"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 31,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def COP_calculation(Tsink, Tsource):\n",
|
||||
" return Tsink / (Tsink - Tsource)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 32,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from numpy.polynomial import Polynomial"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 33,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def cop_curve(Tsink, Tsource):\n",
|
||||
" c0 = Tsink / (Tsink - Tsource) \n",
|
||||
" return Polynomial([c0])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 34,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/latex": [
|
||||
"$x \\mapsto \\text{10.0} + \\text{5.0}\\,x + \\text{3.0}\\,x^{2}$"
|
||||
],
|
||||
"text/plain": [
|
||||
"Polynomial([10., 5., 3.], domain=[-1, 1], window=[-1, 1])"
|
||||
]
|
||||
},
|
||||
"execution_count": 34,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"Polynomial([10, 5, 3])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 35,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(-9.685230024213075, 50)"
|
||||
]
|
||||
},
|
||||
"execution_count": 35,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"#create an heat pump object\n",
|
||||
"\n",
|
||||
"heatpump = Heatpump(\"heatpump1\", 50, cop_curve, 10)\n",
|
||||
"heatpump.set_heat_output(50, Tsource=333, Tsink=413)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 36,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"5.1625"
|
||||
]
|
||||
},
|
||||
"execution_count": 36,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"heatpump.get_cop(50, Tsource=333, Tsink=413)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 37,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def test_heatpump_and_waterstorage_system(Tsink, Tsource, process_demand_MW, e_price, waterstorage_level):\n",
|
||||
" \"\"\"\n",
|
||||
" 1. Follow a certain logic based on given price:\n",
|
||||
" - If price is low --> Heatpump at full power, and charge the heatbuffer\n",
|
||||
" - If price is high --> Discharge the heat buffer, and increase Tsource, which will increase COP\n",
|
||||
" 2. Above logic should adhere to a couple of constraints:\n",
|
||||
" - Storage levels\n",
|
||||
" - Capacity of the heat pump \n",
|
||||
" - Process demand\n",
|
||||
" - ....\n",
|
||||
" 3. This function should contain: \n",
|
||||
" - Heat pump \n",
|
||||
" - Water storage\n",
|
||||
" - Interactions / logic between them\n",
|
||||
" 4. Output of the function:\n",
|
||||
" - Power of the heatpump \n",
|
||||
" - \"New\" water storage level\n",
|
||||
" \"\"\"\n",
|
||||
" waterstorage.storage_level = waterstorage_level\n",
|
||||
" \n",
|
||||
" if e_price < 50:\n",
|
||||
" hp_load = heatpump.max_th_power #bunu yoxla heat pump-a birbasa set load demek olmur. Ve funksiyada heatpump obyekti var ama o evvel initialize olunmayib\n",
|
||||
" energy_to_storage = hp_load - process_demand_MW\n",
|
||||
" waterstorage.charge(energy_to_storage)\n",
|
||||
" waterstorage.charged_energy = waterstorage.MW_to_MWh(energy_to_storage)\n",
|
||||
" waterstorage_level = waterstorage.storage_level\n",
|
||||
" new_cl = waterstorage.storage_level + waterstorage.charged_energy\n",
|
||||
" if e_price > 100:\n",
|
||||
" energy_from_storage = discharged_heat\n",
|
||||
" waterstorage_level = waterstorage.storage_level\n",
|
||||
" waterstorage.discharged_energy = waterstorage.MW_to_MWh(energy_from_storage)\n",
|
||||
" new_cl = waterstorage.storage_level - waterstorage.discharged_energy\n",
|
||||
" def Tsource_calculation(Tstorage, discharge_mass_flow, Tsource, process_mass_flow):\n",
|
||||
" return (\n",
|
||||
" (Tstorage * discharge_mass_flow + Tsource * process_mass_flow)\n",
|
||||
" / (discharge_mass_flow + process_mass_flow)\n",
|
||||
" )\n",
|
||||
" new_Tsource = Tsource_calculation(Tstorage, discharge_mass_flow, Tsource, process_mass_flow)\n",
|
||||
"\n",
|
||||
" new_COP = COP_calculation (Tsink, new_Tsource)\n",
|
||||
" hp_load = heatpump.set_heat_output(process_demand_MW, new_COP) #bu da hemcinin set load assetin funksiyasidir, \n",
|
||||
" #heatpump da overwrite edilib. men evezinde yazdim ki set_heat_output\n",
|
||||
" #sen gor hansi funksiya sene lazimdir.\n",
|
||||
"\n",
|
||||
" return hp_load, waterstorage_level\n",
|
||||
" # return new_COP, new_cl"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 38,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "TypeError",
|
||||
"evalue": "unsupported operand type(s) for -: 'float' and 'NoneType'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_3084/1644856237.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m test_heatpump_and_waterstorage_system(\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mTsink\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m140\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m273\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mTsource\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m60\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m273\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mprocess_demand_MW\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m25\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0me_price\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m150\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_3084/1116608474.py\u001b[0m in \u001b[0;36mtest_heatpump_and_waterstorage_system\u001b[1;34m(Tsink, Tsource, process_demand_MW, e_price, waterstorage_level)\u001b[0m\n\u001b[0;32m 39\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 40\u001b[0m \u001b[0mnew_COP\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mCOP_calculation\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_Tsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 41\u001b[1;33m \u001b[0mhp_load\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mheatpump\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_heat_output\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprocess_demand_MW\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_COP\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m#bu da hemcinin set load assetin funksiyasidir,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 42\u001b[0m \u001b[1;31m#heatpump da overwrite edilib. men evezinde yazdim ki set_heat_output\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 43\u001b[0m \u001b[1;31m#sen gor hansi funksiya sene lazimdir.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;32m~\\python\\Encore\\notepad.py\u001b[0m in \u001b[0;36mset_heat_output\u001b[1;34m(self, heat_output, Tsink, Tsource)\u001b[0m\n\u001b[0;32m 325\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"Tsource '{Tsource}' can not be higher than '{Tsink}'.\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 326\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 327\u001b[1;33m \u001b[0mcop\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_cop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mheat_output\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mheat_output\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsink\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 328\u001b[0m \u001b[0me_load\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m-\u001b[0m\u001b[0mheat_output\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mcop\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 329\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0me_load\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheat_output\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;32m~\\python\\Encore\\notepad.py\u001b[0m in \u001b[0;36mget_cop\u001b[1;34m(self, heat_output, Tsink, Tsource)\u001b[0m\n\u001b[0;32m 293\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mcop_curve\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 294\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 295\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mcop_curve\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mload_perc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 296\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 297\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mth_to_el_power\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheat_output\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsink\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_3084/2005226421.py\u001b[0m in \u001b[0;36mcop_curve\u001b[1;34m(Tsink, Tsource)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcop_curve\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mc0\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTsink\u001b[0m \u001b[1;33m/\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mPolynomial\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mc0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for -: 'float' and 'NoneType'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"test_heatpump_and_waterstorage_system(\n",
|
||||
" Tsink = 140+273, \n",
|
||||
" Tsource = 60+273, \n",
|
||||
" process_demand_MW = 25, \n",
|
||||
" e_price = 150, \n",
|
||||
" waterstorage_level = 5\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Expected behaviour: \n",
|
||||
" # hp_heat_output == demand\n",
|
||||
" # hp source temparture > than before\n",
|
||||
" # waterstorage_level < than before\n",
|
||||
" # hp cop > higher than before\n",
|
||||
"hp_load"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## WaterStorage + Heatpump system"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Functional requirements for the WaterStorage + Heatpump system:\n",
|
||||
"1. Goal (Funtional requirements): \n",
|
||||
" * Given (context)\n",
|
||||
" * price (forecast), \n",
|
||||
" * source and sink temperature (provided by process), \n",
|
||||
" * process heat demand, \n",
|
||||
" * storage level of the water storage (temperature level)\n",
|
||||
"* I want to know:\n",
|
||||
" * Heat output from the heatpump (in MW)\n",
|
||||
" * New storage level / temperature level\n",
|
||||
" * Electricity consumption of the heatpump"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Previous examples"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 39,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# def hp_mass_flow (hp_capacity, Tsink, Tref, Cp):\n",
|
||||
"# return hp_capacity /(Cp*(Tsink - Tref)) \n",
|
||||
"# hp_mass_flow (31_000_000, 413, 273, 4190)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# def process_mass_flow (demand, Tsink, Tref, Cp):\n",
|
||||
"# return demand /(Cp*(Tsink - Tref)) \n",
|
||||
"# process_mass_flow (25_000_000, 413, 273, 4190)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# charge_mass_flow = 52 - 42 #should be written as function\n",
|
||||
"# def charge_heat (charge_mass_flow, Cp, Tsink, Tref, MW_to_J_per_s):\n",
|
||||
"# return (charge_mass_flow * Cp * (Tsink - Tref)) / MW_to_J_per_s\n",
|
||||
"# charge_heat (10, 4190, 413, 273, 1000_000)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Tsource_new = (discharge_mass_flow * T_discharge + Tsource * source_mass_flow) / (discharge_mass_flow + source_mass_flow)\n",
|
||||
"Tsource_new = (13 * 95 + 60*42) / (13+42)\n",
|
||||
"Tsource_new"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# chargelevel = self.chargelevel\n",
|
||||
"# max_charging = chargelevel - self.max_chargelevel\n",
|
||||
"# max_discharging = chargelevel - self.min_chargelevel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Funtionality: Set the storage level\n",
|
||||
"waterstorage.storagelevel = 15\n",
|
||||
"waterstorage.max_storagelevel = 23.2\n",
|
||||
"waterstorage.min_storagelevel = 5\n",
|
||||
"# waterstorage.max_charging = waterstorage.max_storagelevel - waterstorage.storagelevel\n",
|
||||
"# waterstorage.max_discharging = waterstorage.max_storagelevel - waterstorage.min_storagelevel\n",
|
||||
"waterstorage.max_discharging"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Functionality: Charge the storage\n",
|
||||
"waterstorage.storage_level = 15\n",
|
||||
"waterstorage.charge = 5\n",
|
||||
"waterstorage.storage_level += waterstorage.charge\n",
|
||||
"waterstorage.storage_level"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Functionality: Discharge the storage\n",
|
||||
"waterstorage.storage_level = 15\n",
|
||||
"waterstorage.discharge = 4\n",
|
||||
"waterstorage.storage_level -= waterstorage.discharge\n",
|
||||
"waterstorage.storage_level"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# rng = pd.date_range('2018-11-01 00:00:00', end='2018-11-01 12:00:00', freq='15T' )\n",
|
||||
"\n",
|
||||
"# price_data = pd.DataFrame(np.random.randint(30, 110, size=(len(rng))), \n",
|
||||
"# columns=['ForeNeg'], \n",
|
||||
"# index=rng)\n",
|
||||
"\n",
|
||||
"# price_data['ForePos'] = np.random.randint(20, 50, size=(len(rng)))\n",
|
||||
"\n",
|
||||
"# price_data.head()"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.5"
|
||||
},
|
||||
"widgets": {
|
||||
"application/vnd.jupyter.widget-state+json": {
|
||||
"state": {},
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
Loading…
Reference in New Issue