service_sector

CTS_demand_scale(aggregation_level)

Description: caling the demand curves to the annual demand of the respective aggregation level

Parameters:

aggregation_level (str) – aggregation_level : str if further processing is to be done in zensus cell level ‘other’ else ‘dsitrict’

Returns:

• CTS_per_district (pandas.DataFrame) –

  if aggregation =’district’

  Profiles scaled up to annual demand

  else

  0

• CTS_per_grid (pandas.DataFrame) –

  if aggregation =’district’

  Profiles scaled up to annual demandd

  else

  0

• CTS_per_zensus (pandas.DataFrame) –

  if aggregation =’district’

  0

  else

  Profiles scaled up to annual demand

cts_demand_per_aggregation_level(aggregation_level, scenario)

Description: Create dataframe assigining the CTS demand curve to individual zensus cell based on their respective NUTS3 CTS curve

Parameters:

aggregation_level (str) – if further processing is to be done in zensus cell level ‘other’ else ‘dsitrict’

Returns:

• CTS_per_district (pandas.DataFrame) –

  if aggregation =’district’

  NUTS3 CTS profiles assigned to individual zensu cells and aggregated per district heat area id

  else

  empty dataframe

• CTS_per_grid (pandas.DataFrame) –

  if aggregation =’district’

  NUTS3 CTS profiles assigned to individual zensu cells and aggregated per mv grid subst id

  else

  empty dataframe

• CTS_per_zensus (pandas.DataFrame) –

  if aggregation =’district’

  empty dataframe

  else

  NUTS3 CTS profiles assigned to individual zensu population id