Output interpretation

An explanation and interpretation of every feature outputted in the API response.

Field
Type
Description
Example

warnings

list

postcode

string

zip code in six-character format

1234AB

housenumber

integer

house number

1

houseaddition

string

addition to the house number

A

build_year

integer

build year

1961

inner_surface_area

integer

inner surface area (m2)

70

apartment_type

string

the apartment type

Portiekwoning

installation

integer

4

wall_insulation

integer

2

roof_insulation

integer

2

floor_insulation

integer

2

living_room_windows

integer

2

shower

integer

1

ventilation

integer

1

cooling

integer

1 = No cooling

2 = Air conditioning unit, direct air cooling

1

electric_cooking

integer

1 = Gas stove

2 = Electric stove

1

solar_panels

list

CO2

integer

The total CO2 emissions (see CO2)

3084

definitive_energy_label

string

Definitive energylabel from RVO's EP-online

A

definitive_energy_label_type

string

Norm on which the definitive energylabel is based

NEN7120

definitive_energy_label_validity_date

string

Validity end date of the given definitive energylabel

2030-12

definitive_BENG2_score

integer

Definitive energylabel BENG2 score from RVO's EP-online

125

current_estimated_energy_label

string

Current estimated NTA 8800 energylabel based on building characteristics and measures. For measures_method 2 and 3 this is predicted using Machine Learning.

A

current_estimated_BENG2_score

integer

BENG2 numerical score of the current estimated NTA 8800 score

128

estimated_gas_usage

integer

Estimated gas usage (m3) per year

2172

estimated_energy_usage

integer

Estimated electricity usage (kWh) per year

2800

estimated_city_heating_usage

integer

Estimated heat consumption (GJ) per year

1300

measures_method

integer

1 = Statistical.

2 = External sources.

3 = Building characteristics.

4 = User input.

1

How the current estimated energy label is calculated (measures_method)

The response includes measures_method. It explains how measures and the estimated label were derived.

  • 1: Statistical: Uses the NTA 8800 model and the definitive energy label if it is available.

  • 2: External sources: Uses machine learning predictions based on external data sources to support the NTA 8800 model estimation when a definitive energy label is not available.

  • 3: Building characteristics: Uses machine learning predictions based on building characteristics to support the NTA 8800 model estimation when a definitive energy label and external sources are not available.

  • 4: User input: The estimation is driven by the measures provided in the request and the building characteristics which are used to support the NTA 8800 model. This method is used when at least one measure is supplied by the user.

  • The measures:

    • installation

    • wall_insulation

    • roof_insulation

    • floor_insulation

    • living_room_windows

    • shower

    • ventilation

    • cooling

    • electirc_cooking

    • solar_panels

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The API returns an estimated NTA 8800 outcome. It is not a replacement for an official EP-online registration.

Example output

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