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Chen, K W, Teitelbaum, E, Meggers, F, Pantelic, J and Rysanek, A (2021) Exploring membrane-assisted radiant cooling for designing comfortable naturally ventilated spaces in the tropics. Building Research & Information, 49(05), 483–95.

Dawodu, A, Cheshmehzangi, A and Sharifi, A (2021) A multi-dimensional energy-based analysis of neighbourhood sustainability assessment tools: are institutional indicators really missing?. Building Research & Information, 49(05), 574–92.

Hu, M and Milner, D (2021) Factors influencing existing medium-sized commercial building energy retrofits to achieve the net zero energy goal in the United States. Building Research & Information, 49(05), 525–42.

Lee, J and Ham, Y (2021) Physiological sensing-driven personal thermal comfort modelling in consideration of human activity variations. Building Research & Information, 49(05), 512–24.

  • Type: Journal Article
  • Keywords: Information and communication technologies (ICT); thermal comfort; data collection; buildings;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2020.1840328
  • Abstract:
    As one of the representative parameters for human energy metabolism, the metabolic rate has been considered as the significant factor for occupants’ thermal comfort analyses. Despite the importance of metabolic rate as a predictor of thermal comfort modelling, prior works rely on uncertain metabolic rate estimation without considering actual activity variations while occupying a building. This study aims at identifying the effect of metabolic rate on the thermal comfort models by proposing a robust data-driven personalized model in consideration of human activity variations. To investigate heterogeneous thermal state of occupants, wearable sensors and machine learning algorithms were used to continuously monitor and analyse individual physiological signals, activity-based metabolic rates and environmental indices. Field experiments were conducted with 10 subjects in a campus building in the US, and the results showed that predictive models considering metabolic rate yield advanced performance of up to 8.5%, implying that activity-based metabolic rates provide better understanding of personal thermal comfort. This paper quantitatively validates the effectiveness of reflecting metabolic rate based on human activity variations into personal thermal comfort modelling, which provides an insight into how to better model personal thermal comfort of occupants in real-life settings.

Mikulić, D, Lovrinčević, & and Keček, D (2021) Valorization of economic effects from the programme of energy renovation of public buildings in Croatia. Building Research & Information, 49(05), 561–73.

Ramos, G, Lamberts, R, Abrahão, K C F J, Bandeira, F B, Barbosa Teixeira, C F, Brito de Lima, M, Broday, E E, Castro, A P A S, de Queiroz Leal, L, De Vecchi, R, De Zorzi, L D M, Dornelles, K A, Duarte, S, Faisca, R G, Fontenelle, M, Freitas, T, Grego (2021) Adaptive behaviour and air conditioning use in Brazilian residential buildings. Building Research & Information, 49(05), 496–511.

Yeganeh, A, McCoy, A P, Reichard, G, Schenk, T and Hankey, S (2021) Green building and policy innovation in the US Low-Income Housing Tax Credit programme. Building Research & Information, 49(05), 543–60.