Energy-efficient retrofit measures (EERM) in residential buildings: An application of discrete choice modelling
Journal article, 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

Adoption

Empirical evidence

Energy efficiency

Europe

Author

Clara Camarasa

Technical University of Denmark (DTU)

Lokesh Kumar Kalahasthi

Chalmers, Technology Management and Economics, Service Management and Logistics

Ivan Sanchez-Diaz

Chalmers, Technology Management and Economics, Service Management and Logistics

Leonardo Rosado

Chalmers, Architecture and Civil Engineering, Water Environment Technology

Lena Hennes

Wuppertal Institute for Climate, Environment and Energy

K. Bienge

Wuppertal Institute for Climate, Environment and Energy

Ian Hamilton

University College London (UCL)

Buildings

20755309 (eISSN)

Vol. 11 6 257

Subject Categories

Construction Management

Economics

Environmental Analysis and Construction Information Technology

DOI

10.3390/buildings11060257

More information

Latest update

7/6/2021 5