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Boyd, P and Schweber, L (2018) Unintended consequences: institutional artefacts, closure mechanisms and the performance gap. Building Research & Information, 46(01), 10–22.

Darby, S J (2018) Smart technology in the home: time for more clarity. Building Research & Information, 46(01), 140–7.

Frances, Z and Stevenson, F (2018) Domestic photovoltaic systems: the governance of occupant use. Building Research & Information, 46(01), 23–41.

Gram-Hanssen, K and Georg, S (2018) Energy performance gaps: promises, people, practices. Building Research & Information, 46(01), 1–9.

Hansen, A R, Gram-Hanssen, K and Knudsen, H N (2018) How building design and technologies influence heat-related habits. Building Research & Information, 46(01), 83–98.

Hargreaves, T, Wilson, C and Hauxwell-Baldwin, R (2018) Learning to live in a smart home. Building Research & Information, 46(01), 127–39.

Madsen, L V (2018) Materialities shape practices and notions of comfort in everyday life. Building Research & Information, 46(01), 71–82.

Palm, J, Ellegård, K and Hellgren, M (2018) A cluster analysis of energy-consuming activities in everyday life. Building Research & Information, 46(01), 99–113.

Sunikka-Blank, M, Galvin, R and Behar, C (2018) Harnessing social class, taste and gender for more effective policies. Building Research & Information, 46(01), 114–26.

van den Brom, P, Meijer, A and Visscher, H (2018) Performance gaps in energy consumption: household groups and building characteristics. Building Research & Information, 46(01), 54–70.

  • Type: Journal Article
  • Keywords: big data; energy consumption; energy epidemiology; energy performance; household energy; occupant behaviour; performance gap;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2017.1312897
  • Abstract:
    The difference between actual and calculated energy is called the ‘energy-performance gap’. Possible explanations for this gap are construction mistakes, improper adjusting of equipment, excessive simplification in simulation models and occupant behaviour. Many researchers and governmental institutions think the occupant is the main cause of this gap. However, only limited evidence exists for this. Therefore, an analysis is presented of actual and theoretical energy consumption based on specific household types and building characteristics. Using a large dataset (1.4 million social housing households), the average actual and theoretical energy consumptions (gas and electricity) of different household types and characteristics (income level, type of income, number of occupants and their age) were compared for each energy label. Additionally, the 10% highest and lowest energy-consuming groups were analysed. The use of combinations of occupant characteristics instead of individual occupant characteristics provides new insights into the influence of the occupant on energy demand. For example, in contrast to previous studies, low-income households consume more gas per m2 (space heating and hot water) than households with a high income for all types of housing. Furthermore, the performance gap is caused not only by the occupant but also by the assumed building characteristics.

Wade, F, Murtagh, N and Hitchings, R (2018) Managing professional jurisdiction and domestic energy use. Building Research & Information, 46(01), 42–53.