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Article

Energy-Efficient Retrofit Measures (EERM) in Residential Buildings: An Application of Discrete Choice Modelling

1
Department of Technology, Management and Economics, UNEP-DTU Partnership, 2100 Copenhagen, Denmark
2
Department of Technology Management and Economics, Chalmers University of Technology, 41296 Gothenburg, Sweden
3
Sustainable Production and Consumption, Wuppertal Institute, 42103 Wuppertal, Germany
4
Energy Institute, University College London (UCL), London WC1H 0NN, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Isaac Guedi Capeluto
Buildings 2021, 11(6), 257; https://doi.org/10.3390/buildings11060257
Received: 26 April 2021 / Revised: 5 June 2021 / Accepted: 6 June 2021 / Published: 16 June 2021
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
Cross-country evidence on the adoption of energy-efficient retrofit measures (EERMs) in residential buildings is critical to supporting the development of national and pan-European policies aimed at fostering the energy performance upgrade of the building stock. In this light, the aim of this paper is to advance in the understanding of the probability of certain EERMs taking place in eight EU countries, according to a set of parameters, such as building typology, project types, and motivation behind the project. Using these parameters collected via a multi-country online survey, a set of discrete-choice (conditional logit) models are estimated on the probability of selecting a choice of any combination of 33 EERMs across the sampled countries. Results show that actions related to the building envelope are the most often-addressed across countries and single building elements or technology measures have a higher probability of being implemented. The modelling framework developed in this study contributes to the scientific community in three ways: (1) establishing an empirical relationship among EERMs and project (i.e., retrofit and deep retrofit), (2) identifying commonalities and differences across the selected countries, and (3) quantifying the probabilities and market shares of various EERMs. View Full-Text
Keywords: energy efficiency; technology diffusion; adoption; residential building stock; empirical evidence; energy conservation; Europe energy efficiency; technology diffusion; adoption; residential building stock; empirical evidence; energy conservation; Europe
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MDPI and ACS Style

Camarasa, C.; Kalahasthi, L.K.; Sanchez-Díaz, I.; Rosado, L.; Hennes, L.; Bienge, K.; Hamilton, I. Energy-Efficient Retrofit Measures (EERM) in Residential Buildings: An Application of Discrete Choice Modelling. Buildings 2021, 11, 257. https://doi.org/10.3390/buildings11060257

AMA Style

Camarasa C, Kalahasthi LK, Sanchez-Díaz I, Rosado L, Hennes L, Bienge K, Hamilton I. Energy-Efficient Retrofit Measures (EERM) in Residential Buildings: An Application of Discrete Choice Modelling. Buildings. 2021; 11(6):257. https://doi.org/10.3390/buildings11060257

Chicago/Turabian Style

Camarasa, Clara; Kalahasthi, Lokesh K.; Sanchez-Díaz, Ivan; Rosado, Leonardo; Hennes, Lena; Bienge, Katrin; Hamilton, Ian. 2021. "Energy-Efficient Retrofit Measures (EERM) in Residential Buildings: An Application of Discrete Choice Modelling" Buildings 11, no. 6: 257. https://doi.org/10.3390/buildings11060257

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