INSPIRE Knowledge Base

Use case “Comparative analysis of different methodologies and datasets for Energy Performance Labelling of buildings”

Several approaches can be applied to assess the energy performance of a building, each of them having different requirements on input data and different methodological complexity, determining different levels of accuracy of the results obtained.

Six different methodological approaches have been identified and classified into three categories named “holistic”, “measured data” and “calculation”, according to their main characteristics. A definition of the six methodological approaches is provided below:

  • Holistic
    • Approach 1: Simplified method based on administrative data
    • Approach 2: Approach 1 + climate data and user behavior information
  • Measured data
    • Approach 3: Energy consumption and energy performance data, including metering data
    • Approach 4: Energy performance assessment based on measured data
  • Calculation
    • Approach 5: Simplified calculation method
    • Approach 6: Detailed calculation method, according to standardized calculations.

As an attempt to unify the representation of the output of the different methodologies, a classification system of the energy performance of buildings, based on energy performance labels, is adopted.

More details about the six methodological approaches are provided in this technical report.

 

This use case aims to provide users interested in assessing the energy performance of the building stock with a comparative analysis of different methodologies for the energy labelling of buildings

The specific objectives of the use case are:

  • compare different methodologies (approaches 1 and 5) for the labelling of energy performance of buildings based on input data with different scales and different levels of details;
  • validate the different methodologies for the labelling of energy performance of buildings comparing different simulations obtained using different models (the RVO model in NL and the SimStadt model in DE);
  • assess costs and benefits of applying the different methodologies to produce buildings energy performance (EP) label datasets.

Preliminary activities recently started in cooperation with Dutch Kadaster (NL) and University of Applied Sciences Stuttgart (DE), in the frame of a multilateral non-monetary collaboration agreement currently under finalisation.