The energy performance of dwellings of Dutch non-profit housing associations: Modelling actual energy consumption

Bent, H.S. van der; Brom, P.I. van den; Visscher, Henk; Meijer, A.; Mouter, Niek

doi:10.1016/j.enbuild.2021.111486

Cited by 10 publications

(3 citation statements)

References 22 publications

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“…There is a broad consensus in the literature that the two main causes of the performance gap are the “prebound effect” and “rebound effect” (Sunikka-Blank & Galvin, 2012 ). As van der Bent et al ( 2021 ) summarized: “the prebound effect means a lower energy consumption than theoretically assumed in buildings with a poor energy performance because inhabitants do not heat the whole dwelling. The rebound effect means that dwellings with a high energy performance use more energy than theoretically assumed, because inhabitants think that the dwelling is energy efficient”.…”

Section: Discussion On the Two Methodsmentioning

confidence: 99%

Energy performance certificates in the USA and in France—a case study of multifamily housing

et al. 2022

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In the USA and the European Union, buildings account for more than 40% of total energy use and a large proportion of buildings are energy inefficient. Countries address these inefficiency challenges with various initiatives and strategies. One of them relies on rating buildings with energy performance certificates, with the goal that awareness on energy consumption would lead to an efficient retrofit. In this article, we analyze the different methods chosen by the USA and France to rate multifamily buildings, i.e., the Energy Star score and the Diagnostic de Performance Energétique. We conduct a case study of a multifamily housing using a Design of Experiments to determine what inputs are the most influent on the output. In the French certificate, the results show that the climate, ventilation system, and building envelope are the most influent inputs on the energy consumption. In the USA certificate, the actual energy consumption and the climate are the most influent factors on the building score. We then discuss the significant differences in the two approaches, and the consequences in terms of accuracy, as well as how the DPE and ES scores are used as a tool in public energy policy to propose energy conservation measures and reduce energy consumption.

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Section: Discussion On the Two Methodsmentioning

confidence: 99%

Energy performance certificates in the USA and in France—a case study of multifamily housing

et al. 2022

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“…The results of the different studies are summed, all characteristics that occur in more than 60% of the papers are indicated in green, and all characteristics that occur in more than 40% of the papers are indicated in orange. A second type is the archetype approach [20][21][22][23]27,32,[38][39][40][41][42][43]46,48,49]. In this approach, the buildings are represented by archetype buildings based on a classification system.…”

Section: Bottom-up Stock Modelling Approachesmentioning

confidence: 99%

“…For instance, these can be used to fill the data gaps of building parameters, occupancy, or energy use. The study of van der Bent et al [39] even reveals that prediction models using machine learning algorithms to define building parameters and energy use might achieve a higher accuracy than theoretical building energy models using energy simulations. However, theoretical models are necessary to simulate future scenarios.…”

Section: Bottom-up Stock Modelling Approachesmentioning

confidence: 99%

Developing a Building Stock Model to Enable Clustered Renovation—The City of Leuven as Case Study

Verellen

Allacker

2022

Sustainability

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The existing building patrimony is responsible for 36% of the global energy use and 37% of the greenhouse gas emissions. It is hence a major challenge to improve its energy performance. According to the Renovation Wave, the average annual renovation rate should be doubled by 2030 up to 3% and deep energy renovations should be encouraged. The Belgian city of Leuven works towards this target and is even more ambitious, setting their goal on becoming climate neutral by 2050. The strategy investigated in this study is to increase the renovation rate by clustering renovations, which is challenging since the Belgian building stock is highly privatised. Based on a thorough literature study, this paper examines various methodologies for building stock modelling. The main focus is comparing the required input data with the data availability, handling the data gaps, and defining their influence on the model’s accuracy. The findings are applied to Leuven by analysing the main drivers to cluster renovation measures. However, many data gaps appeared, leading to the selection of a GIS-enhanced archetype model enriched by energy data as the most suitable approach. To avoid misinterpretation due to differences in data quality, transparent reporting in stock modelling is recommended.

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Energy Performance of Buildings Directive implementation in Southern European countries: A review

Olasolo-Alonso

Ochoa

Las-Heras-Casas

et al. 2023

Energy and Buildings

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The energy performance of dwellings of Dutch non-profit housing associations: Modelling actual energy consumption

Cited by 10 publications

References 22 publications

Energy performance certificates in the USA and in France—a case study of multifamily housing

Energy performance certificates in the USA and in France—a case study of multifamily housing

Developing a Building Stock Model to Enable Clustered Renovation—The City of Leuven as Case Study

Energy Performance of Buildings Directive implementation in Southern European countries: A review

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