NTA 8800 Energylabel v2 API

Welcome to the NTA 8800 Energylabel v2 API documentation. This API uses a combination of various sources and methods to deliver the most accurate energy label estimates possible.

Introduction

The NTA 8800 Energylabel API v2 estimates the current energy performance of Dutch properties using the NTA 8800 methodology, the official Dutch standard for calculating building energy labels.

The API enables users to estimate the current energy label of a property and retrieve the sustainability measures currently present in the building. It supports both minimal address input and detailed building characteristics, allowing users to balance speed and accuracy depending on their use case.

Typical applications include sustainability platforms, real estate tools, property valuation models, and financial applications that require scalable insights into building energy performance.

Core Capabilities

Estimated Energy Label Calculation

The API estimates the current energy label of a property based on available building data and predictive models aligned with the NTA 8800 framework.

The result includes:

• Estimated energy label (A++++ → G)

• Estimated BENG2 score (primary fossil energy usage)

• Estimated energy consumption values

• Estimated usages (gas, energy, city heating) and CO2

• Relevant sustainability indicators

These results provide a quick indication of the current energy efficiency level of a building.

Range of Energy labels

Detection of Existing Energy Measures

The API also estimates which energy efficiency measures are currently present in the building.

Examples include:

• Wall insulation

• Roof insulation

• Floor insulation

• Window glazing types

• Heating installation type

• Ventilation systems

• Solar panels

These measures form the basis for the estimated energy performance calculation.

Flexible Input Model

The API is designed to operate with different levels of input detail.

Minimal Input

Users can retrieve an energy performance estimate by providing only:

• Postal code

• House number

• House addition

Based on this information, the API estimates building characteristics using proprietary datasets and statistical models.

Detailed Building Input

For higher accuracy, users may provide additional information such as:

• House type

• Build year

• Inner surface area

• Insulation levels

• Heating installation

• Solar panels

• Ventilation systems

Providing more detailed building characteristics reduces model assumptions and improves the accuracy of the estimated energy label.

Accuracy and Methodology

The API estimates the current energy label using a combination of statistical modelling, machine learning, and NTA 8800-based calculations.

Because complete building data is often unavailable, the model focuses on the most influential building characteristics and uses predictive models trained on large datasets of Dutch residential properties.

Machine Learning Prediction

When direct data about a property is unavailable, the API uses machine learning models to estimate building characteristics and energy performance indicators.

Migrating from v1? Start with Migration Guide Houses and Migration Guide Apartments .