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WaterHeaterClass.py
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WaterHeaterClass.py
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#Definition of Water Heater Class and Fuel Type
from scipy.stats import weibull_min
from Inputs_Energy import *
from RefrigerantCalc import Refrigerant
#a= 0.5 #shape
#b = 10 # scale
#Years of MeanLifeTIme, when all WHs are absolutely killed
#y = range(0,21)
#r= weibull_min.cdf(y,3,loc=0,scale = b)
#print (r)
UltimYr = 15
class WaterHeater:
NPV = 0
dailyVol = 50 #gallons
# IncTemp = 75 #temp increase in Fahr
# DiscRate = 0.04
CCDiscRate = 0.04 #carbon price discount rate
Inflation = 0.0
def __init__(self,name, fuel, ef, vintage, OrigNum, lt, IC, OM, hasRefrigerant, refrigerant = Refrigerant(), IncTemp = 75):
self.name = name
self.fuel = fuel
self.ef = ef #Efficiency
self.vintage = vintage #year of installation..typically assumed happens beginning of a year
self.OrigNum = OrigNum #Original Num is the number of waterheaters created in the 'vintage'year
self.lt = lt #lifetime
self.IC = IC #Initial Cost could be just Capex or could be Capex+initial cost to build infrastructure
self.OM = OM #Operations and Maintenance
self.hasRefrigerant = hasRefrigerant
self.refrigerant = refrigerant
self.IncTemp = IncTemp
# self.calcNPV()
#computes the total annual leakage from all the (self.Num appliances during their life
def RefLeaks(self, yr ):
result = {}
if (self.hasRefrigerant == True):
leakages = self.refrigerant.RefLeakage(yr, yr+self.lt)
for i in range( yr, yr + self.lt+1):
result[i]=leakages[i]
return result
def AvgRefLeaks(self,yr): #in tons of CO2 eq
result = {}
avgleak = 0
if (self.hasRefrigerant == True):
result = self.RefLeaks(yr)
#for i in range(vint, vint+ self.lt):
# avgleak = avgleak + result[i]/(1+CCDiscRate)**(i-vint+1)
avgleak = sum(result.values())/self.lt
else:
avgleak = 0
return avgleak
def AnnEmissions(self,yr): #in tons with NO REFRIGERANT
return self.AnnualEngUsage() * self.fuel.UnitEmissions[yr]/1000
def AnnualEmissions(self,yr): #in tons with REFRIGERANTS
if self.hasRefrigerant == False:
return self.AnnEmissions(yr)
else:
return ( self.AnnEmissions(yr)+ self.AvgRefLeaks(yr) )
def annualizedEmissions(self, vint): #in tons (THIS IS THE AVERAGE EMISSIONS..NOT DISCOUNTED
result = {}
# result1 = {}
for i in range(vint, vint+self.lt):
result[i] = self.AnnualEmissions(i) #INCLUDING DIRECT AND INDIRECT
# result1[yr] = self.AnnEmissions(yr)
annEmis = sum(result.values())/self.lt
return (annEmis)
def MarginalAnnualEmissions(self, WH2, yr):
return (self.AnnualEmissions(yr) - WH2.AnnualEmissions(yr) )
def annualCarbonCost(self, vint, UnitCarbonPrice=20): #$20/ton is the default rate for Carbon...if not specified when calling the func
result = {}
for i in range(vint, vint+self.lt):
if self.hasRefrigerant == True:
result[i] = UnitCarbonPrice * (self.AnnualEmissions(i) )
else:
result[i] = UnitCarbonPrice * (self.AnnEmissions(i) )
return result
def averageCarbonCost(self, vint, UnitCarbonPrice=20):
result = {}
result = self.annualCarbonCost(vint, UnitCarbonPrice)
return sum(result.values())/self.lt
def NPVEmissions_Refrigerant(self, yr):
if self.hasRefrigerant == True:
result = 0
RefLeek = self.RefLeaks(yr)
for i in range(yr, yr+self.lt+1):
result = result + RefLeek[i]/(1+DiscRate)**(i-yr+1)
else:
result = 0
return result
def NPVEmissions_Indirect(self, yr):
result = 0
for i in range(yr, yr+self.lt+1):
result = result + self.AnnEmissions(i)/(1+DiscRate)**(i-yr+1)
return result
def NPVEmissions(self, yr): #NPV OF EMISSIONS USED FOR COMPUTING NPV OF CARBONCOST
NPVEm = self.NPVEmissions_Indirect(yr)+ self. NPVEmissions_Refrigerant(yr)
return NPVEm
def lcc(self, yr, UnitCarbonPrice =20 ): #levelized
return (self.NPVEmissions(yr)*UnitCarbonPrice + self.calcNPV(yr) )
def totalCapex(self): #total cost of the stock of vintage yr
return self.OrigNum * self.IC
def NPVCost(self,yr):
NPV = self.IC
for I in range(yr, self.lt+yr):
NPV = NPV + (self.OM[I-yr])/(1+DiscRate)**(I-yr+1)
return NPV
def NPVEngCost(self,yr):
NPV = 0
for I in range(yr, self.lt+yr):
NPV = NPV + (self.AnnualEngCost(I))/(1+DiscRate)**(I-yr+1)
return NPV
def NPVCC(self,vint, CarbonCost= 21): #NPV of carbon cost
return self.NPVEmissions(vint)*CarbonCost
def calcNPV_Capex(self, yr, Capex): #changing capex
NPV = Capex
for I in range(yr,self.lt +yr):
NPV = NPV + (self.OM[I-yr] + self.AnnualEngCost(I))/(1+DiscRate)**(I-yr+1)
return NPV
def calcNPV_LifeTime(self, yr, lifetime): #changing can specify a difff lifetime other than self.lt
NPV = self.IC
for I in range(yr,lifetime +yr):
NPV = NPV + (self.OM[I-yr] + self.AnnualEngCost(I))/(1+DiscRate)**(I-yr+1)
return NPV
def calcNPV(self,yr):#initial fixed capex
NPV = self.IC
for I in range(yr, self.lt+ yr):
# print I, self.OM[I-ThisYear], self.AnnualEngCost(I)
NPV = NPV + (self.OM[I-yr] + self.AnnualEngCost(I))/(1+DiscRate)**(I-yr+1)
return NPV
def annualizedNPV(self,yr):
return self.calcNPV(yr)/self.lt
def lcc(self, yr, UnitCarbonPrice =20 ): #levelized
return (self.NPVEmissions(yr)*UnitCarbonPrice + self.calcNPV(yr) )
def Annuallcc(self, yr, UnitCarbonPrice =20 ): #levelized
return ( (self.NPVEmissions(yr)*UnitCarbonPrice + self.calcNPV(yr) ) /self.lt)
def payback(self, WHx,yr):
X = WHx.IC - self.IC
Y = (self.OM[0] + self.AnnualEngCost(yr)) - (WHx.OM[0] + WHx.AnnualEngCost(yr))
#print "#", X, Y, "#"
if self == WHx:
return 0
elif (X>=0 and Y<=0):
return max(self.lt, WHx.lt)
elif (X<0 and Y>=0):
return 0
else:
return (min(self.lt, WHx.lt, X/(Y) ))
def payback1(self, WHx,yr):
N= 1
maxN = max(self.lt, WHx.lt)
X = WHx.IC - self.IC
Y = (self.OM[0] + self.AnnualEngCost(yr)) - (WHx.OM[0] + WHx.AnnualEngCost(yr))
# print '\n test', X, Y
# if X <= 0 and Y <=0:
# return 0
# else:
while N < maxN and abs(X/Y) >1 :
Y = Y + (self.OM[N] + self.AnnualEngCost(yr+N)) - (WHx.OM[N] + WHx.AnnualEngCost(yr+N))
N = N +1
if N == maxN and X/Y > 1:
return maxN
else:
return N
def AnnualEngUsage(self):
return self.dailyVol* self.IncTemp*self.fuel.unitEng * 365/self.ef
def AnnualEngCost(self, yr):
# if self.fuel == NG:
# print yr, self.fuel.UnitEngCost[inf][yr]
return self.AnnualEngUsage() * self.fuel.UnitEngCost[yr]
def compareEngUsage(self, WH2):
return (self.AnnualEngUsage() - WH2.AnnualEngUsage())
def compareEmissions(self,WH2):
return(self.AnnualEmissions() - WH2.AnnualEmissions())
def CCBreakEven(self, WH2, yr): #breakeven carbon cost
breakeven = (self.calcNPV(yr)/self.lt- WH2.calcNPV(yr)/WH2.lt)/( WH2.NPVEmissions(yr)/WH2.lt - self.NPVEmissions(yr)/self.lt )
return breakeven
def weib(self):
x = range(0, self.lt+UltimYr+1)
w = weibull_min.cdf(x,3,loc=2.5,scale = self.lt) * self.OrigNum
#print w
return(w)
def deadsofar(self, yr):
if yr > self.vintage and yr < self.vintage+ self.lt + UltimYr:
# print yr, self.vintage
return self.weib()[yr-self.vintage]
elif yr >= self.vintage + self.lt + UltimYr:
return self.OrigNum
else:
return 0
def numAlive(self,yr):
return (self.OrigNum - self.deadsofar(yr))
def age(self, yr):
return (yr - self.vintage)
def annualreplacement(self,yr):
# if yr> self.vintage + (self.lt + UltimYr) or yr < self.vintage:
# return 0
# else:
return (max(self.deadsofar(yr)- self.deadsofar(yr-1),0))
class FuelType:
def __init__(self, name,unitEng,UnitEngCost, UnitEmissions):
self.name = name
self.unitEng = unitEng
self.UnitEngCost = UnitEngCost
self.UnitEmissions= UnitEmissions
NG = FuelType("NG", UnitNG , NGCostYrly, NGEmisYrly)
Elec = FuelType("Elec", UnitElec, ElecCostYrly, ElecEmisYrly)
Prop = FuelType("Prop", UnitProp, PropCostYrly, PropEmisYrly)
#for yr in range(ThisYear, EndYear+1):
# print yr, "NGCOST", NGCostYrly['MED'][yr], ElecCostYrly['LOW'][yr], PropCostYrly['LOW'][yr]
#this class is to track the annual 'living' stock of WHs of a particular type, their annual energy and emissions for each
#WH in any year (sum over all vintages)
class WH_Aggregates:
def __init__(self, name):
self.name=name
self.AnnAggStock = {}
self.AnnAggEnergy = {}
self.AnnAggEmissions = {}
Ref1 = Refrigerant(2000, 1, 0.005, 0.1, 0.3)
Ref2 = Refrigerant(675, 1, 0.005, 0.1, 0.3)
Ref3 = Refrigerant(1, 1, 0.005, 0.1, 0.3)
Stck = 100
Time = 2016
NGGG = WaterHeater('NG_WH1', NG, NG0_EF, Time, Stck, NG_LT, NGIC, OM_NG, False)
INGGG = WaterHeater('ING_WH', NG, ING_EF, Time, Stck, ING_LT, INGIC, OM_ING, False)
EWH = WaterHeater('E_WH', Elec, E_EF, Time, Stck, EL_LT, EWHIC, OM_EL, False)
PWH = WaterHeater('Prop_WH', Prop, Prop_EF, Time, Stck, Prop_LT, PropIC, OM_Prop, False)
HPPP = WaterHeater('HP_WH1', Elec, HP1_EF, Time, Stck, HP_LT, HPIC, OM_HP, True, Ref1)
HPP2 = WaterHeater('HP_WH1', Elec, HP2_EF, Time, Stck, HP_LT, HPIC2, OM_HP, True, Ref2)
HPP3 = WaterHeater('HP_WH1', Elec, HP3_EF, Time, Stck, HP_LT, HPIC3, OM_HP, True, Ref3)
#STHER = WaterHeater('ST_El', Elec, E_EF/(1-.6), Time ,Stck, ST_LT, SThCapex, OM_ST, False)
STH = WaterHeater('ST_EL', Elec, E_EF/(1-.6), Time ,Stck, ST_LT, SThERIC, OM_ST, False)
STHHP = WaterHeater('ST_HP1', Elec, HP1_EF/(1-.6), Time ,Stck, ST_LT, SThHPIC, OM_ST, True, Ref1)
#print ".............."
#print "EMissions solar, HP", STHHP.AvgRefLeaks(Time), HPPP.AvgRefLeaks(Time)
#print "EMissions solar, HP", STHHP.AvgRefLeaks(2031), HPPP.AvgRefLeaks(2031)
#print "EMissions solar, HP", STHHP.AvgRefLeaks(2046), HPPP.AvgRefLeaks(2046)
#print "Emis", NGGG.AnnualEmissions(Time), INGGG.AnnualEmissions(Time), HPPP.AnnualEmissions(yr), STH.AnnualEmissions(yr)
#print "Eng Usage NG, EWH, Prop", NGGG.AnnualEngUsage(),EWH.AnnualEngUsage(),PWH.AnnualEngUsage()
#print "Annual Emissions NG, EWH, Prop", NGGG.AnnualEmissions(Time),EWH.AnnualEmissions(Time), PWH.AnnualEmissions(Time)
#print "Ann Emissions NG, EWH, Prop", NGGG.AnnEmissions(Time),EWH.AnnEmissions(Time), PWH.AnnEmissions(Time)
#print "\n"
yr = Time
CarbonCost = 100
#print "TT", HPP3.AnnEmissions(yr), HPP3.AvgRefLeaks(yr), EWH.AnnEmissions(yr)
#print NGGG.AnnualEmissions(yr),HPPP.AnnualEmissions(yr), HPP2.AnnualEmissions(yr), HPP3.AnnualEmissions(yr)
#print "HELLO", EWH.annualizedEmissions(Time),HPPP.annualizedEmissions(Time),HPP2.annualizedEmissions(Time),STH.annualizedEmissions(Time),STHHP.annualizedEmissions(Time)
#print "HEllo Agian", EWH.AnnEmissions(2016),EWH.AvgRefLeaks(2016), HPPP.AnnEmissions(2022), HPPP.AvgRefLeaks(2022),STHHP.AnnEmissions(2016),STHHP.AvgRefLeaks(2016)
#print "++", EWH.AnnEmissions(2016)+ EWH.AvgRefLeaks(2016), HPPP.AnnEmissions(2016)+ HPPP.AvgRefLeaks(2016),HPP2.AnnEmissions(2016)+HPP2.AvgRefLeaks(2016), STHHP.AnnEmissions(2016)+STHHP.AvgRefLeaks(2016)
#print "AnnualizedEmissions", Time,HPPP.annualizedEmissions(Time), EWH.annualizedEmissions(Time), EWH.AnnEmissions(Time),
#print "AnnualEng", Time, NGGG.AnnualEngUsage(),HPPP.AnnualEngUsage(), EWH.AnnualEngUsage()
#print "AnnualCarbonCost", Time, EWH.annualCarbonCost(Time,50), HPPP.annualCarbonCost(Time,50)
#print "Solar", STHHP.deadsofar(2025), STHHP.numAlive(2025)
#print "LCC", Time, NGGG.lcc(Time,0),INGGG.lcc(Time, 0), EWH.lcc(Time,0),HPPP.lcc(Time,0), STHHP.lcc(Time,0)
#print "I payback w.r.t NG", yr, NGGG.payback(INGGG,yr), NGGG.payback(EWH,yr), NGGG.payback(HPPP,yr), NGGG.payback(STH,yr)
#print "II payback w.r.t NG", yr, NGGG.payback1(INGGG,yr), NGGG.payback1(EWH,yr), NGGG.payback1(HPPP,yr), NGGG.payback1(STH,yr)
#print "II payback w.r.t EWH", yr, EWH.payback(NGGG,yr), EWH.payback(INGGG,yr), EWH.payback(HPPP,yr), EWH.payback(STHHP,yr)
#print "III payback w.r.t EWH", yr, HPPP.payback(STHHP,yr), HPPP.payback(EWH,yr)
#print "annualized LCC", Time, NGGG.lcc(Time,0)/NGGG.lt, INGGG.lcc(Time, 0)/ INGGG.lt , EWH.lcc(Time,0)/EWH.lt, HPPP.lcc(Time,0)/HPPP.lt, STH.lcc(Time,0)/STH.lt
#print 'payback', Time, NGGG.payback1(INGGG,Time),INGGG.payback1(NGGG,Time), EWH.payback1(NGGG,Time), NGGG.payback1(EWH, Time), INGGG.payback1(HPPP,Time), EWH.payback1(HPPP,Time), INGGG.payback1(STH,Time),STH.payback1(INGGG,Time)
#print 'payback orig', Time, NGGG.payback(INGGG,Time),INGGG.payback(NGGG,Time), EWH.payback(NGGG,Time), NGGG.payback(EWH,Time), INGGG.payback(HPPP,Time), EWH.payback(HPPP,Time), INGGG.payback(STH,Time), STH.payback(INGGG,Time)
#import matplotlib.pyplot as plt
#from matplotlib.pyplot import *
#import matplotlib.patches as mpatches
#fig = plt.figure(figsize=(10.0, 8.0))
#axes1 = fig.add_subplot(1,1, 1)
#p1 =[]
#p2 = []
#for yr in range (2016,2060):
# print yr, round( NGGG.numAlive(yr),2), round(INGGG.numAlive(yr),2), round(PWH.numAlive(yr),2), round(HPPP.numAlive(yr),2)
# plt.hold(True)
# s1 = axes1.scatter(yr-2016, INGGG.numAlive(yr), color = 'r')
# s1 = axes1.scatter(yr-2016, HPPP.numAlive(yr), color = 'g')
# s1 = axes1.scatter(yr-2016, STH.numAlive(yr), color = 'b')
# p1.append([s1])
#axes1.legend([mpatches.Patch(color='r'), mpatches.Patch(color='g'), mpatches.Patch(color = 'b')], ['Instantaneous NG','HeatPump/NG Storage', 'SolarThermal'], loc = 1, fontsize = 10 )
#axes1.axis([0,40, 0, 110])
#fig.tight_layout()
#plt.show()