def energy_supply_intensity(self, category):
title = "Energy supply Intensity" + self.plot_title_tail
output_path = self.locator.get_timeseries_plots_file(
self.plot_output_path_header + '_energy_supply_intensity',
category)
analysis_fields = [
"DH_hs_MWhyr",
"DH_ww_MWhyr",
'SOLAR_ww_MWhyr',
'SOLAR_hs_MWhyr',
"DC_cs_MWhyr",
'DC_cdata_MWhyr',
'DC_cre_MWhyr',
'PV_MWhyr',
'GRID_MWhyr',
'NG_hs_MWhyr',
'COAL_hs_MWhyr',
'OIL_hs_MWhyr',
'WOOD_hs_MWhyr',
'NG_ww_MWhyr',
'COAL_ww_MWhyr',
'OIL_ww_MWhyr',
'WOOD_ww_MWhyr',
]
data = self.data_processed['yearly_loads'].copy()
analysis_fields = self.erase_zeros(data, analysis_fields)
if len(self.buildings) == 1:
data = data.set_index("Name").ix[self.buildings[0]]
plot = energy_use_intensity(data, analysis_fields, title,
output_path)
else:
plot = energy_use_intensity_district(data, analysis_fields, title,
output_path)
return plot
def energy_use_intensity(self, category):
title = "Energy Use Intensity" + self.plot_title_tail
output_path = self.locator.get_timeseries_plots_file(
self.plot_output_path_header + '_energy_use_intensity', category)
analysis_fields = [
"E_sys_MWhyr", "Qhs_sys_MWhyr", "Qww_sys_MWhyr", "Qcs_sys_MWhyr",
'Qcdata_sys_MWhyr', 'Qcre_sys_MWhyr'
]
data = self.data_processed['yearly_loads'].copy()
if len(self.buildings) == 1:
data = data.set_index("Name").ix[self.buildings[0]]
plot = energy_use_intensity(data, analysis_fields, title,
output_path)
else:
plot = energy_use_intensity_district(data, analysis_fields, title,
output_path)
return plot