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Abdul Mujeebu, M and Ashraf, N (2020) Impact of location and deadband on energy performance of nano aerogel glazing for office building in Saudi Arabia. Building Research & Information, 48(06), 645–58.

Finegan, E, Kelly, G and O’Sullivan, G (2020) Comparative analysis of Passivhaus simulated and measured overheating frequency in a typical dwelling in Ireland. Building Research & Information, 48(06), 681–99.

Hu, M (2020) Life-cycle environmental assessment of energy-retrofit strategies on a campus scale. Building Research & Information, 48(06), 659–80.

Martinez-Soto, A and Jentsch, M F (2020) A transferable energy model for determining the future energy demand and its uncertainty in a country’s residential sector. Building Research & Information, 48(06), 587–612.

  • Type: Journal Article
  • Keywords: Residential energy consumption; energy models; uncertainty analysis; probability bands; model transferability;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2019.1692188
  • Abstract:
    Residential energy models are a common tool for determining the overall energy consumption attributed to the housing sector of a country as well as for projecting the future energy demand in relation to energy conservation policies. However, current residential energy models often require large amounts of input data, have a limited transferability to different countries and often fail to correctly depict trends in energy consumption. Furthermore, no current model gives an indication of the underlying uncertainties in its results. This paper presents a transferable residential energy model that combines statistical and building physics approaches and, with input data typically available in most countries, is able to model the annual and monthly residential energy demand of a given nation or region. In addition to providing trends in the residential sector’s final energy demand according to area of use, the model also estimates uncertainties in the results in three probability bands at 30%, 60% and 90% confidence intervals. Results for a ‘forecast period’ 2001–2010 in three case study countries: Germany, Chile and the UK show a high overall agreement of the new modelling approach with the statistical data and the residential sector’s energy consumption trends of these three countries.

Mellado Mascaraque, M &, Castilla Pacual, F J, Oteiza, I and Aparicio Secanellas, S (2020) Hygrothermal assessment of a traditional earthen wall in a dry Mediterranean climate. Building Research & Information, 48(06), 632–44.

Mukhopadhyay, J (2020) Observations of energy consumption and IEQ in a ‘Tiny House’. Building Research & Information, 48(06), 613–31.