Energy-efficient retrofit measures (EERM) in residential buildings: An application of discrete choice modelling
Artikel i vetenskaplig tidskrift, 2021

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.

Technology diffusion

Energy conservation

Residential building stock


Empirical evidence

Energy efficiency



Clara Camarasa

Danmarks Tekniske Universitet (DTU)

Lokesh Kumar Kalahasthi

Chalmers, Teknikens ekonomi och organisation, Service Management and Logistics

Ivan Sanchez-Diaz

Chalmers, Teknikens ekonomi och organisation, Service Management and Logistics

Leonardo Rosado

Chalmers, Arkitektur och samhällsbyggnadsteknik, Vatten Miljö Teknik

Lena Hennes

Wuppertal Institut für Klima, Umwelt, Energie

K. Bienge

Wuppertal Institut für Klima, Umwelt, Energie

Ian Hamilton

University College London (UCL)


20755309 (eISSN)

Vol. 11 6 257




Miljöanalys och bygginformationsteknik



Mer information

Senast uppdaterat