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Armitage, P, Godoy-Shimizu, D, Steemers, K and Chenvidyakarn, T (2015) Using Display Energy Certificates to quantify public sector office energy consumption. Building Research & Information, 43(06), 691-709.
Castelblanco, G, Mangano, G, Zenezini, G and De Marco, A (2025) Once concessioned, twice shy? Asymmetries of “reconcession” in national PPP programs. Construction Management and Economics, 43(06), 405–27.
Delghust, M, Roelens, W, Tanghe, T, De Weerdt, Y and Janssens, A (2015) Regulatory energy calculations versus real energy use in high-performance houses. Building Research & Information, 43(06), 675-90.
Fedoruk, L E, Cole, R J, Robinson, J B and Cayuela, A (2015) Learning from failure: Understanding the anticipated-achieved building energy performance gap. Building Research & Information, 43(06), 750-63.
Fredriksson, A, Kjellsdotter Ivert, L and Naz, F (2025) Creating logistics service value in construction – a quest of coordinating modules in a loosely coupled system. Construction Management and Economics, 43(06), 428–45.
Galvin, R (2015) Integrating the rebound effect: Accurate predictors for upgrading domestic heating. Building Research & Information, 43(06), 710-22.
- Type: Journal Article
- Keywords: energy efficiency elasticity; energy efficiency upgrades; Germany; housing; rebound effect; thermal retrofits
- ISBN/ISSN:
- URL: https://doi.org/10.1080/09613218.2014.988439
- Abstract:
One particular definition of the rebound effect has won acceptance for its conceptual clarity and mathematical robustness: the energy efficiency elasticity of demand for energy services. This is formulated as a partial differential, and its structure enables transformations with price and energy elasticities. However, when considering heating energy efficiency upgrades of homes, the mathematical predictions can be unreliable because these upgrades involve large changes in efficiency, energy and energy services, whereas differential calculus only holds true for very small changes. This could be one reason why existing estimates of rebound effects are so diverse. This paper shows how this limitation can be remedied, using the German housing stock as a case study. A curve of consumption/efficiency for this stock is derived from empirical studies and, based on the mathematical definition of the rebound effect, a rebound effect relation is derived from this. This curve is then integrated over the likely ranges of energy efficiency upgrades that would correspond to the government’s policy of reducing consumption by 80%. The model is found to be mathematically coherent, and suggests energy service rebounds of 28-39% for the German stock as a whole if the 80% goal is achieved.
Miraj, P, Wang, T, Koutamanis, A and Chan, P (2025) Organising digital twin in the built environment: a systematic review and research directions on the missing links of use and user perspectives of digital twin in Architecture, Engineering and Construction (AEC) sector. Construction Management and Economics, 43(06), 465–81.
Moore, S A, Gelfand, S and Whitsett, D (2015) Epistemological conflict: Modern and non-modern frameworks for sustainability. Building Research & Information, 43(06), 659-74.
Perez-Bella, J M, Dominguez-Hernandez, J, Cano-Suñen, E, Del Coz-Diaz, J J and Alvarez Rabanal, F P (2015) Improvement alternatives for determining the watertightness performance of building facades. Building Research & Information, 43(06), 723-36.
Sanchez-Guevara, C, Fernandez, A S and Aja, A H (2015) Income, energy expenditure and housing in Madrid: Retrofitting policy implications. Building Research & Information, 43(06), 737-49.
Van Uden, M, Wamelink, H, Van Bueren, E and Heurkens, E (2025) Circular building hubs as intermediate step for the transition towards a circular economy. Construction Management and Economics, 43(06), 446–64.