Benchmarking energy performance: indicators and models for Dutch housing associations. Issue 1 (21st June 2022)

• Record Type: Journal Article
• Authors: van der Bent, Herman S.; Visscher, Henk J.; Meijer, Arjen; Mouter, Niek
• Is Part Of: Buildings & cities. Volume 3:Issue 1(2022)
• Page Start: 417
• Page End: 432
• Publication Date: 2022-06-21
• Subjects: benchmark model -- building stock -- energy performance -- housing -- housing associations -- the Netherlands; City planning -- Periodicals; Urban policy -- Periodicals; Sustainable development -- Periodicals; 307.76
• DOI: 10.5334/bc.207
• Languages: English
• ISSNs: 2632-6655

Abstract

Benchmarking is a method that can be used to measure progress and create awareness about the performance of organisations. Benchmarking the housing stock energy performance of Dutch housing associations can be used to measure and assess progress towards the decarbonisation of the housing stock. A new national climate agreement was signed in 2019, and in 2021 a new method to determine the theoretical energy performance of dwellings came into force in the Netherlands. To benchmark energy performance, a set of indicators is created that adequately represents the performance of Dutch housing associations according to the changed policies. A process involving key stakeholders is presented here to identify, assess and combine possible indicators. These were then integrated into four integrated models, which led to a final benchmark model. A model was chosen that consists of three indicators covering the energy performance of Dutch housing associations. The process and arguments that led to this final model are presented. While applicable within the Dutch context, the method and research results provide generalisable insights for the creation of energy performance benchmarks for building stocks. Practice relevance: This paper provides both researchers and policymakers with a practical approach to monitor and benchmark the energy performance of dwellings owned by organisations. An analysis of the Dutch policy context is presented. Examples of possible benchmark indicators are described and evaluated. A method is created to assess indicators and it is shown how to integrate indicators in different benchmark models. The final model consists of three indicators: (1) the average theoretical primary fossil energy consumption (energy label value); (2) the difference between the theoretical heating demand (quality building envelope) and the theoretical maximum heating demand of dwellings; and (3) the average actual CO2 emissions from gas consumption. Researchers and policymakers from other countries can adapt both the process and the final benchmark model to create similar benchmark models across housing stocks.