Home Energy Model

Home Energy Model

Generate accurate energy-use and carbon footprint projections for any UK residential property.

Harness the power of dynamic modelling with our state-of-the-art energy model, developed in collaboration with leading academic experts.

PropEco's market-leading energy model provides highly accurate and configurable projections of energy use, carbon footprint and upgrade impacts within residential properties.

Strathlyde University logo Developed in collaboration with world-leading experts at The University of Strathclyde, this leverages the power of dynamic modelling to address many of the limitations of commonly used methodologies such as SAP (which underpins EPC assessments).

The model factors-in a wide range of considerations - including property size, type, age, local climatic conditions, occupancy levels and usage patterns - and provides projections that are broken-down by month and use (space heating, water heating and lighting). It is also available via an interactive dashboard as part of the PropEco Data Explorer.

The PropEco Home Energy Model API provides detailed and accurate energy consumption and carbon footprint estimates for UK residential properties. Features include:

Detailed energy-use estimates

Broken-down by month and use.

Detailed carbon footprint estimates

Broken-down by month and use.

Up-to-date cost projections

Estimates based on current energy prices and standing charges.

Customisable inputs

Factor-in usage and occupancy for more accurate results.

Generate in-depth property assessments with just four lines of code.

{
	"parameters": {
		"location": "Thames",
		"building_type": "Flat",
		"construction_year": 1999,
		"primary_fuel": "Mains Gas",
		"options": {
			"total_floor_area": 60,
			"occupant_count": 2,
			"main_heating_efficiency": 0.95,
			"water_heating_efficiency": 0.8,
			"low_energy_lighting_proportion": 0.8,
			"building_characteristics": {
				"exposure_value": 2,
				"insulation_value": 2,
				"air_leakage_value": 3,
				"capacity_value": 1,
				"solar_ingress_value": 3,
				"occupancy_value": 3,
				"living_area_value": 1
			}
		}
	},
	"total_energy_usage": 13193.46,
	"space_heating_annual": 9949.36,
	"space_heating_monthly": [
		1766.82,
		1983.45,
		1379.52,
		602.64,
		612.77,
		0,
		0,
		0,
		57.9,
		539.93,
		1014.01,
		1992.32
	],
	"hot_water_annual": 2915.44,
	"hot_water_monthly": [
		277.45,
		255.41,
		260.31,
		239.98,
		234.38,
		216.19,
		207.79,
		223.44,
		224.9,
		245.28,
		258.43,
		271.9
	],
	"lighting_annual": 328.66,
	"lighting_monthly": [
		36.58,
		32.71,
		28.46,
		23.67,
		19.56,
		17.19,
		18.2,
		21.84,
		26.41,
		30.99,
		35.34,
		37.73
	],
	"primary_fuel_price_per_kwh": 0.07,
	"primary_fuel_co2_equivalent_per_kwh": 0.2,
	"primary_fuel_usage_annual": 12864.8,
	"primary_fuel_usage_monthly": [
		2044.27,
		2238.86,
		1639.84,
		842.61,
		847.15,
		216.19,
		207.79,
		223.44,
		282.8,
		785.2,
		1272.44,
		2264.22
	],
	"primary_fuel_cost_annual": 899.25,
	"primary_fuel_cost_monthly": [
		142.89,
		156.5,
		114.62,
		58.9,
		59.22,
		15.11,
		14.52,
		15.62,
		19.77,
		54.89,
		88.94,
		158.27
	],
	"primary_fuel_standing_charges_annual": 119.25,
	"primary_fuel_standing_charges_monthly": [
		10.13,
		9.15,
		10.13,
		9.8,
		10.13,
		9.8,
		10.13,
		10.13,
		9.8,
		10.13,
		9.8,
		10.13
	],
	"primary_fuel_co2_equivalent_annual": 2572.96,
	"primary_fuel_co2_equivalent_monthly": [
		408.85,
		447.77,
		327.97,
		168.52,
		169.43,
		43.24,
		41.56,
		44.69,
		56.56,
		157.04,
		254.49,
		452.84
	],
	"electricity_price_per_kwh": 0.27,
	"electricity_co2_equivalent_per_kwh": 0.21,
	"electricity_usage_annual": 328.66,
	"electricity_usage_monthly": [
		36.58,
		32.71,
		28.46,
		23.67,
		19.56,
		17.19,
		18.2,
		21.84,
		26.41,
		30.99,
		35.34,
		37.73
	],
	"electricity_cost_annual": 88.84,
	"electricity_cost_monthly": [
		9.89,
		8.84,
		7.69,
		6.4,
		5.29,
		4.65,
		4.92,
		5.9,
		7.14,
		8.38,
		9.55,
		10.2
	],
	"electricity_standing_charges_annual": 196.37,
	"electricity_standing_charges_monthly": [
		16.68,
		15.06,
		16.68,
		16.14,
		16.68,
		16.14,
		16.68,
		16.68,
		16.14,
		16.68,
		16.14,
		16.68
	],
	"electricity_co2_equivalent_annual": 69.02,
	"electricity_co2_equivalent_monthly": [
		7.68,
		6.87,
		5.98,
		4.97,
		4.11,
		3.61,
		3.82,
		4.59,
		5.55,
		6.51,
		7.42,
		7.92
	],
	"total_fuel_cost_annual": 988.09,
	"total_fuel_cost_monthly": [
		152.78,
		165.34,
		122.32,
		65.3,
		64.5,
		19.76,
		19.44,
		21.52,
		26.91,
		63.26,
		98.49,
		168.47
	],
	"total_standing_charges_annual": 315.62,
	"total_standing_charges_monthly": [
		26.81,
		24.21,
		26.81,
		25.94,
		26.81,
		25.94,
		26.81,
		26.81,
		25.94,
		26.81,
		25.94,
		26.81
	],
	"total_cost_annual": 1303.7,
	"total_cost_monthly": [
		179.59,
		189.55,
		149.12,
		91.24,
		91.31,
		45.7,
		46.25,
		48.33,
		52.85,
		90.07,
		124.44,
		195.27
	],
	"total_co2_equivalent_annual": 2641.98,
	"total_co2_equivalent_monthly": [
		416.54,
		454.64,
		333.94,
		173.49,
		173.54,
		46.85,
		45.38,
		49.27,
		62.11,
		163.55,
		261.91,
		460.77
	]
}