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Included a ozone fitting function to data, removing original 2d polyn… #244

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32 changes: 29 additions & 3 deletions watertap3/watertap3/wt_units/ozone_aop.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,16 +60,42 @@ def fixed_cap(self, unit_params):
self.chem_dict = {}
x0 = pyunits.convert(self.ozone_consumption, to_units=(pyunits.mg / pyunits.liter))
x1 = self.flow_in
ozone_cap = 368.1024498765 * (x0) + 1791.4380214814 * (x1) - 21.1751721133 * (x0 ** 2) + 90.5123958036 * (x0 * x1) - 193.6107786923 * (x1 ** 2) + 0.6038025161 * (
x0 ** 3) + 0.0313834266 * (x0 ** 2 * x1) - 2.4261957652 * (x0 * x1 ** 2) + 5.2214653914 * (x1 ** 3) - 1888.3973953339
ozone_cap=self.interp_cost_at_dose(value(x0),value(x1))
if self.aop:
h2o2_flow = self.solution_vol_flow()
h2o2_cap = self.h2o2_base_cap * h2o2_flow ** self.h2o2_cap_exp
else:
h2o2_cap = 0
ozone_aop_cap = (ozone_cap + h2o2_cap) * 1E-3
return ozone_aop_cap
def interp_cost_at_dose(self,dose,flow):
'''
Determine a, b costing parameters as a function of flow and ozone dose

:param flow: Volumetric flow into unit
:type flow_in: float
:param dose: ozone dose
:return: capital cost
'''
def basic_ab(vals,a,b):
#print(vals,a,b)
return a*vals**b
df=pd.read_csv('data/ozone_cost_data.csv',header=0)
interp_functions=[]

doses=[1,5,10,15,20,25]
flow_interp=[]
cost_interp=[]
for i,k in enumerate(df['flow (mgd)']):
costs=[]
for d in doses:
cutal_ox=df[str(d)].to_numpy()
costs.append(cutal_ox[i])
#interp=np.interp1d(doses,costs)
flow_interp.append(k)
cost_interp.append(np.interp(dose,doses,costs))
popt, pcov = curve_fit(basic_ab, flow_interp, cost_interp,bounds=[[1e-5,1e-5],[100000,5]])
return basic_ab(flow,popt[0],popt[1])
def elect(self):
'''
Electricity intensity for Ozone/Ozone AOP unit.
Expand Down Expand Up @@ -115,4 +141,4 @@ def get_costing(self, unit_params=None, year=None):
doc='Unadjusted fixed capital investment')
self.electricity = Expression(expr=self.elect(),
doc='Electricity intensity [kwh/m3]')
financials.get_complete_costing(self.costing)
financials.get_complete_costing(self.costing)