def calculate_combined_emissions_results(self):
export_emissions = self.calc_and_format_export_emissions()
embodied_emissions_list = self.calc_and_format_embodied_supply_emissions()
direct_emissions_list = self.calc_and_format_direct_demand_emissions()
export_emissions = util.add_and_set_index(export_emissions,['EMISSIONS_TYPE'],['EXPORTED'])
embodied_emissions_list = [util.add_and_set_index(x, ['EMISSIONS_TYPE'], ['SUPPLY_SIDE']) for x in embodied_emissions_list]
direct_emissions_list = [util.add_and_set_index(x,['EMISSIONS_TYPE'],['DEMAND_SIDE']) for x in direct_emissions_list]
if export_emissions is not None:
for name in [x for x in embodied_emissions_list[0].index.names if x not in export_emissions.index.names]:
export_emissions[name] = "N/A"
export_emissions.set_index(name,append=True,inplace=True)
export_emissions = export_emissions.groupby(level=embodied_emissions_list[0].index.names).sum()
if direct_emissions_list is not None:
for df in direct_emissions_list:
for name in [x for x in embodied_emissions_list[0].index.names if x not in df.index.names]:
df[name] = "N/A"
df.set_index(name,append=True,inplace=True)
self.outputs.c_emissions = [export_emissions] + embodied_emissions_list + direct_emissions_list
self.outputs.c_emissions = [util.replace_index_name(x, GeoMapper.combined_outputs_geography.upper() +'-EMITTED', GeoMapper.combined_outputs_geography.upper() +'_SUPPLY',inplace=True) for x in self.outputs.c_emissions]
self.outputs.c_emissions = [util.replace_index_name(x, GeoMapper.combined_outputs_geography.upper() +'-CONSUMED', GeoMapper.combined_outputs_geography.upper(),inplace=True) for x in self.outputs.c_emissions]
self.outputs.c_emissions = [x[x['VALUE']!=0] for x in self.outputs.c_emissions]
emissions_unit = cfg.getParam('mass_unit')
for x in self.outputs.c_emissions:
x.columns = [emissions_unit.upper()]
for x in self.outputs.c_emissions: x.index = x.index.reorder_levels([l for l in embodied_emissions_list[0].index.names if l in x.index.names])
def calculate_d_payback_energy(self):
initial_vintage = min(cfg.supply_years)
demand_side_df = self.demand.d_all_energy_demand_payback
demand_side_df.columns = ['value']
demand_side_df = demand_side_df[demand_side_df.index.get_level_values('vintage')>=initial_vintage]
demand_side_df = demand_side_df[demand_side_df.index.get_level_values('year')>=initial_vintage]
sales_df = copy.deepcopy(self.demand.outputs.d_sales)
util.replace_index_name(sales_df,'vintage','year')
sales_df = sales_df[sales_df.index.get_level_values('vintage')>=initial_vintage]
sales_df = util.add_and_set_index(sales_df,'year',cfg.supply_years)
# sales_df.index = sales_df.index.reorder_levels(demand_side_df.index.names)
# sales_df = sales_df.reindex(demand_side_df.index).sort_index()
self.demand.outputs.d_payback_energy = util.DfOper.divi([demand_side_df, sales_df])
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy[np.isfinite(self.demand.outputs.d_payback_energy.values)]
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy.replace([np.inf,np.nan],0)
for sector in self.demand.sectors.values():
for subsector in sector.subsectors.values():
if hasattr(subsector,'stock') and subsector.sub_type!='link':
indexer = util.level_specific_indexer(self.demand.outputs.d_payback_energy,'subsector',subsector.id)
self.demand.outputs.d_payback_energy.loc[indexer,'unit'] = subsector.stock.unit.upper()
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy.set_index('unit', append=True)
self.demand.outputs.d_payback_energy.columns = [cfg.calculation_energy_unit.upper()]
self.demand.outputs.d_payback_energy['lifetime_year'] = self.demand.outputs.d_payback_energy.index.get_level_values('year')-self.demand.outputs.d_payback_energy.index.get_level_values('vintage')+1
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy.set_index('lifetime_year',append=True)
self.demand.outputs.d_payback_energy = util.remove_df_levels(self.demand.outputs.d_payback_energy,'year')
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy.groupby(level = [x for x in self.demand.outputs.d_payback_energy.index.names if x !='lifetime_year']).transform(lambda x: x.cumsum())
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy[self.demand.outputs.d_payback_energy[cfg.calculation_energy_unit.upper()]!=0]
self.demand.outputs.d_payback_energy = self.demand.outputs.return_cleaned_output('d_payback_energy')
def calculate_d_payback_energy(self):
initial_vintage = min(cfg.supply_years)
demand_side_df = self.demand.d_all_energy_demand_payback
demand_side_df.columns = ['value']
demand_side_df = demand_side_df[demand_side_df.index.get_level_values('vintage')>=initial_vintage]
demand_side_df = demand_side_df[demand_side_df.index.get_level_values('year')>=initial_vintage]
sales_df = copy.deepcopy(self.demand.outputs.d_sales)
util.replace_index_name(sales_df,'vintage','year')
sales_df = sales_df[sales_df.index.get_level_values('vintage')>=initial_vintage]
sales_df = util.add_and_set_index(sales_df,'year',cfg.supply_years)
# sales_df.index = sales_df.index.reorder_levels(demand_side_df.index.names)
# sales_df = sales_df.reindex(demand_side_df.index).sort_index()
self.demand.outputs.d_payback_energy = util.DfOper.divi([demand_side_df, sales_df])
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy[np.isfinite(self.demand.outputs.d_payback_energy.values)]
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy.replace([np.inf,np.nan],0)
for sector in self.demand.sectors.values():
for subsector in sector.subsectors.values():
if hasattr(subsector,'stock') and subsector.sub_type!='link':
indexer = util.level_specific_indexer(self.demand.outputs.d_payback_energy,'subsector',subsector.id)
self.demand.outputs.d_payback_energy.loc[indexer,'unit'] = subsector.stock.unit.upper()
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy.set_index('unit', append=True)
self.demand.outputs.d_payback_energy.columns = [cfg.calculation_energy_unit.upper()]
self.demand.outputs.d_payback_energy['lifetime_year'] = self.demand.outputs.d_payback_energy.index.get_level_values('year')-self.demand.outputs.d_payback_energy.index.get_level_values('vintage')+1
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy.set_index('lifetime_year',append=True)
self.demand.outputs.d_payback_energy = util.remove_df_levels(self.demand.outputs.d_payback_energy,'year')
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy.groupby(level = [x for x in self.demand.outputs.d_payback_energy.index.names if x !='lifetime_year']).transform(lambda x: x.cumsum())
self.demand.outputs.d_payback_energy = self.demand.outputs.d_payback_energy[self.demand.outputs.d_payback_energy[cfg.calculation_energy_unit.upper()]!=0]
self.demand.outputs.d_payback_energy = self.demand.outputs.return_cleaned_output('d_payback_energy')
def calc_and_format_export_energy(self):
if self.supply.export_energy is None:
return None
export_energy = GeoMapper.geo_map(self.supply.export_energy.copy(), GeoMapper.supply_primary_geography, GeoMapper.combined_outputs_geography, 'total')
export_energy = Output.clean_df(export_energy)
util.replace_index_name(export_energy, 'FINAL_ENERGY','SUPPLY_NODE_EXPORT')
export_energy = util.add_to_df_index(export_energy, names=['EXPORT/DOMESTIC', "ENERGY ACCOUNTING"], keys=["EXPORT", "EMBODIED"])
for x in cfg.output_combined_levels:
if x not in export_energy.index.names:
export_energy = util.add_and_set_index(export_energy,[x],["N/A"])
return export_energy
def calculate_combined_cost_results(self):
cost_unit = cfg.getParam('currency_year') + " " + cfg.getParam('currency_name')
export_costs = self.calc_and_format_export_costs()
embodied_costs_list = self.calc_and_format_embodied_costs()
direct_costs = self.calc_and_format_direct_demand_costs()
export_costs = util.add_and_set_index(export_costs,['COST_TYPE'],['EXPORTED'])
embodied_costs_list = [util.add_and_set_index(x,['COST_TYPE'],['SUPPLY-SIDE']) for x in embodied_costs_list]
direct_costs = util.add_and_set_index(direct_costs,['COST_TYPE'],['DEMAND-SIDE'])
if export_costs is not None:
for name in [x for x in embodied_costs_list[0].index.names if x not in export_costs.index.names]:
export_costs[name] = "N/A"
export_costs.set_index(name,append=True,inplace=True)
export_costs = export_costs.groupby(level=embodied_costs_list[0].index.names).sum()
if direct_costs is not None:
for name in [x for x in embodied_costs_list[0].index.names if x not in direct_costs.index.names]:
direct_costs[name] = "N/A"
direct_costs.set_index(name, append=True, inplace=True)
direct_costs = direct_costs.groupby(level=embodied_costs_list[0].index.names).sum()
self.outputs.c_costs = embodied_costs_list + [direct_costs] + [export_costs]
self.outputs.c_costs= [x[x.values!=0] for x in self.outputs.c_costs]
for x in self.outputs.c_costs: x.index = x.index.reorder_levels(embodied_costs_list[0].index.names)
def calculate(self, vintages, years):
self.vintages = vintages
self.years = years
if self._has_data and self.raw_values is not None and (cfg.rio_supply_run is not True or 'vintage' in self.raw_values.index.names):
self.remap(time_index_name='vintage', converted_geography=GeoMapper.supply_primary_geography,fill_value=np.nan)
self.values.replace(0,1,inplace=True)
util.convert_age(self, vintages=self.vintages, years=self.years, attr_from='values', attr_to='values', reverse=True)
elif self._has_data and self.raw_values is not None and cfg.rio_supply_run==True:
self.remap(time_index_name='year', converted_geography=GeoMapper.supply_primary_geography, fill_value=np.nan)
self.values.replace(0, 1, inplace=True)
self.values = util.add_and_set_index(self.values,'vintage',self.vintages,index_location=-1)
self.values = self.values.squeeze().unstack(level='year')
def calculate_payback(self):
# self.embodied_emissions_df = self.demand.outputs.return_cleaned_output('demand_embodied_emissions_tco')
# del self.demand.outputs.demand_embodied_emissions
#calculte and format direct demand emissions
# self.direct_emissions_df = self.demand.outputs.return_cleaned_output('demand_direct_emissions')
## del self.demand.outputs.demand_direct_emissions
# emissions = util.DfOper.add([self.embodied_emissions_df,self.direct_emissions_df])
# #calculate and format export costs
cost_unit = cfg.cfgfile.get('case','currency_year_id') + " " + cfg.cfgfile.get('case','currency_name')
initial_vintage = min(cfg.supply_years)
supply_side_df = self.demand.outputs.demand_embodied_energy_costs_payback
supply_side_df = supply_side_df[supply_side_df.index.get_level_values('vintage')>=initial_vintage]
supply_side_df = supply_side_df[supply_side_df.index.get_level_values('year')>=initial_vintage]
supply_side_df = supply_side_df.sort_index()
demand_side_df = self.demand.d_annual_costs_payback
demand_side_df.columns = ['value']
demand_side_df = demand_side_df[demand_side_df.index.get_level_values('vintage')>=initial_vintage]
demand_side_df = demand_side_df[demand_side_df.index.get_level_values('year')>=initial_vintage]
demand_side_df = demand_side_df.reindex(supply_side_df.index).sort_index()
sales_df = copy.deepcopy(self.demand.outputs.d_sales)
util.replace_index_name(sales_df,'vintage','year')
sales_df = sales_df[sales_df.index.get_level_values('vintage')>=initial_vintage]
sales_df = util.add_and_set_index(sales_df,'year',cfg.supply_years)
sales_df.index = sales_df.index.reorder_levels(supply_side_df.index.names)
sales_df = sales_df.reindex(supply_side_df.index).sort_index()
keys = ['SUPPLY-SIDE', 'DEMAND-SIDE']
names = ['COST TYPE']
self.outputs.c_payback = pd.concat([util.DfOper.divi([supply_side_df, sales_df]), util.DfOper.divi([demand_side_df, sales_df])],keys=keys,names=names)
self.outputs.c_payback = self.outputs.c_payback[np.isfinite(self.outputs.c_payback.values)]
self.outputs.c_payback = self.outputs.c_payback.replace([np.inf,np.nan],0)
for sector in self.demand.sectors.values():
for subsector in sector.subsectors.values():
if hasattr(subsector,'stock') and subsector.sub_type!='link':
indexer = util.level_specific_indexer(self.outputs.c_payback,'subsector',subsector.id)
self.outputs.c_payback.loc[indexer,'unit'] = subsector.stock.unit.upper()
self.outputs.c_payback = self.outputs.c_payback.set_index('unit', append=True)
self.outputs.c_payback.columns = [cost_unit.upper()]
self.outputs.c_payback['lifetime_year'] = self.outputs.c_payback.index.get_level_values('year')-self.outputs.c_payback.index.get_level_values('vintage')+1
self.outputs.c_payback = self.outputs.c_payback.set_index('lifetime_year',append=True)
self.outputs.c_payback = util.remove_df_levels(self.outputs.c_payback,'year')
self.outputs.c_payback = self.outputs.c_payback.groupby(level = [x for x in self.outputs.c_payback.index.names if x !='lifetime_year']).transform(lambda x: x.cumsum())
self.outputs.c_payback = self.outputs.c_payback[self.outputs.c_payback[cost_unit.upper()]!=0]
self.outputs.c_payback = self.outputs.return_cleaned_output('c_payback')
def calculate_payback(self):
# self.embodied_emissions_df = self.demand.outputs.return_cleaned_output('demand_embodied_emissions_tco')
# del self.demand.outputs.demand_embodied_emissions
#calculte and format direct demand emissions
# self.direct_emissions_df = self.demand.outputs.return_cleaned_output('demand_direct_emissions')
## del self.demand.outputs.demand_direct_emissions
# emissions = util.DfOper.add([self.embodied_emissions_df,self.direct_emissions_df])
# #calculate and format export costs
cost_unit = cfg.cfgfile.get('case','currency_year_id') + " " + cfg.cfgfile.get('case','currency_name')
initial_vintage = min(cfg.supply_years)
supply_side_df = self.demand.outputs.demand_embodied_energy_costs_payback
supply_side_df = supply_side_df[supply_side_df.index.get_level_values('vintage')>=initial_vintage]
supply_side_df = supply_side_df[supply_side_df.index.get_level_values('year')>=initial_vintage]
supply_side_df = supply_side_df.sort_index()
demand_side_df = self.demand.d_annual_costs_payback
demand_side_df.columns = ['value']
demand_side_df = demand_side_df[demand_side_df.index.get_level_values('vintage')>=initial_vintage]
demand_side_df = demand_side_df[demand_side_df.index.get_level_values('year')>=initial_vintage]
demand_side_df = demand_side_df.reindex(supply_side_df.index).sort_index()
sales_df = copy.deepcopy(self.demand.outputs.d_sales)
util.replace_index_name(sales_df,'vintage','year')
sales_df = sales_df[sales_df.index.get_level_values('vintage')>=initial_vintage]
sales_df = util.add_and_set_index(sales_df,'year',cfg.supply_years)
sales_df.index = sales_df.index.reorder_levels(supply_side_df.index.names)
sales_df = sales_df.reindex(supply_side_df.index).sort_index()
keys = ['SUPPLY-SIDE', 'DEMAND-SIDE']
names = ['COST TYPE']
self.outputs.c_payback = pd.concat([util.DfOper.divi([supply_side_df, sales_df]), util.DfOper.divi([demand_side_df, sales_df])],keys=keys,names=names)
self.outputs.c_payback = self.outputs.c_payback[np.isfinite(self.outputs.c_payback.values)]
self.outputs.c_payback = self.outputs.c_payback.replace([np.inf,np.nan],0)
for sector in self.demand.sectors.values():
for subsector in sector.subsectors.values():
if hasattr(subsector,'stock') and subsector.sub_type!='link':
indexer = util.level_specific_indexer(self.outputs.c_payback,'subsector',subsector.id)
self.outputs.c_payback.loc[indexer,'unit'] = subsector.stock.unit.upper()
self.outputs.c_payback = self.outputs.c_payback.set_index('unit', append=True)
self.outputs.c_payback.columns = [cost_unit.upper()]
self.outputs.c_payback['lifetime_year'] = self.outputs.c_payback.index.get_level_values('year')-self.outputs.c_payback.index.get_level_values('vintage')+1
self.outputs.c_payback = self.outputs.c_payback.set_index('lifetime_year',append=True)
self.outputs.c_payback = util.remove_df_levels(self.outputs.c_payback,'year')
self.outputs.c_payback = self.outputs.c_payback.groupby(level = [x for x in self.outputs.c_payback.index.names if x !='lifetime_year']).transform(lambda x: x.cumsum())
self.outputs.c_payback = self.outputs.c_payback[self.outputs.c_payback[cost_unit.upper()]!=0]
self.outputs.c_payback = self.outputs.return_cleaned_output('c_payback')
