Energy Demand (unconstrained/optimised)

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These details are for the “unconstrained/optimised” model configuration, which models heating technology use in the supply model.

Inputs

description	name	unit	dims	dtype
Floor area, residential and commercial	floor_area	meter**2	[‘lad_uk_2016’, ‘residential_or_non’]	float
Minimum daily temperature	t_min	Degree Celcius	[‘lad_uk_2016’, ‘yearday’]	float
Maximum daily temperature	t_max	Degree Celcius	[‘lad_uk_2016’, ‘yearday’]	float
Population	population	people	[‘lad_uk_2016’]	float
Regional Gross Value Added per capita	gva_per_head	GBP	[‘lad_uk_2016’]	float
Regional Gross Value Added, by sector	gva_per_sector	GBP	[‘lad_uk_2016’, ‘sectors’]	float

Parameters

description	name	unit	dims	dtype
Dwelling stock type or read in floor area directly	virtual_dw_stock		nan	bool
Mode of model	mode		nan	int
Service switches	switches_service		[‘enduses_service_switch’, ‘tech’, ‘end_yr’, ‘sector’]	float
Generic fuel switch	generic_fuel_switch		[‘generic_switch_number’, ‘enduses’, ‘end_yr’, ‘param_generic_fuel_switch’]	float
Share in cold rolling in steel manufacturing	p_cold_rolling_steel	decimal	[‘end_yr’, ‘interpolation_params’]	float
Recovered heat	heat_recovered	decimal	[‘end_yr’, ‘interpolation_params’, ‘enduses’]	float
Share of cooled service floor area	cooled_floorarea	decimal	[‘end_yr’, ‘interpolation_params’, ‘enduses’]	float
Change in floor area per person	assump_diff_floorarea_pp	decimal	[‘end_yr’, ‘interpolation_params’]	float
Air leakage caused reducing in demand	air_leakage	decimal	[‘enduses’, ‘end_yr’, ‘interpolation_params’]	float
Efficiency achievement level	f_eff_achieved	decimal	[‘end_yr’, ‘interpolation_params’]	float
Smart meter penetration	smart_meter_p	decimal	[‘end_yr’, ‘interpolation_params’]	float
Residential base temperature	rs_t_base_heating		[‘interpolation_params’, ‘end_yr’]	float
Service base temperature	ss_t_base_heating		[‘interpolation_params’, ‘end_yr’]	float
Industrial base temperature	is_t_base_heating		[‘interpolation_params’, ‘end_yr’]	float
Demand side management improvemnt	dm_improvement		[‘enduses’, ‘interpolation_params’, ‘end_yr’]	float
Spatial explicit diffusion or not	spatial_explicit_diffusion	integer	nan	float
Spatial diffusion speed	speed_con_max		nan	float
Heat pump fractions	gshp_fraction	decimal	[‘interpolation_params’, ‘end_yr’]	float
Heat pump fractions	gshp_fraction	decimal	nan	float
Overall change in energy demand per enduse	generic_enduse_change	%	[‘enduses’, ‘interpolation_params’, ‘end_yr’]	float

Outputs

description	name	unit	dims	dtype
Residential solid fuel demand	residential_solid_fuel	GW	[‘lad_uk_2016’, ‘hourly’]	float
Residential gas demand	residential_gas	GW	[‘lad_uk_2016’, ‘hourly’]	float
Residential electricity demand	residential_electricity	GW	[‘lad_uk_2016’, ‘hourly’]	float
Residential oil demand	residential_oil	GW	[‘lad_uk_2016’, ‘hourly’]	float
Residential biomass demand	residential_biomass	GW	[‘lad_uk_2016’, ‘hourly’]	float
Residential hydrogen demand	residential_hydrogen	GW	[‘lad_uk_2016’, ‘hourly’]	float
Residential heat demand	residential_heat	GW	[‘lad_uk_2016’, ‘hourly’]	float
Commercial solid fuel demand	service_solid_fuel	GW	[‘lad_uk_2016’, ‘hourly’]	float
Commercial gas demand	service_gas	GW	[‘lad_uk_2016’, ‘hourly’]	float
Commercial electricity demand	service_electricity	GW	[‘lad_uk_2016’, ‘hourly’]	float
Commercial oil demand	service_oil	GW	[‘lad_uk_2016’, ‘hourly’]	float
Commercial biomass demand	service_biomass	GW	[‘lad_uk_2016’, ‘hourly’]	float
Commercial hydrogen demand	service_hydrogen	GW	[‘lad_uk_2016’, ‘hourly’]	float
Commercial heat demand	service_heat	GW	[‘lad_uk_2016’, ‘hourly’]	float
Industrial solid fuel demand	industry_solid_fuel	GW	[‘lad_uk_2016’, ‘hourly’]	float
Industrial gas demand	industry_gas	GW	[‘lad_uk_2016’, ‘hourly’]	float
Industrial electricity demand	industry_electricity	GW	[‘lad_uk_2016’, ‘hourly’]	float
Industrial oil demand	industry_oil	GW	[‘lad_uk_2016’, ‘hourly’]	float
Industrial biomass demand	industry_biomass	GW	[‘lad_uk_2016’, ‘hourly’]	float
Industrial hydrogen demand	industry_hydrogen	GW	[‘lad_uk_2016’, ‘hourly’]	float
Industrial heat demand	industry_heat	GW	[‘lad_uk_2016’, ‘hourly’]	float