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Evolution and performance analysis of adaptive thermal comfort models – a comprehensive literature review

Yao, R. ORCID:, Zhang, S., Du, C., Schweiker, M., Hodder, S., Olesen, B. W., Toftum, J., d'Ambrosio, F. R., Gebhardt, H., Zhou, S., Yuan, F. and Baizhan, L. (2022) Evolution and performance analysis of adaptive thermal comfort models – a comprehensive literature review. Building and Environment, 217. 109020. ISSN 0360-1323

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To link to this item DOI: 10.1016/j.buildenv.2022.109020


Thermal comfort is fundamental to indoor environmental design and operation as well as indoor thermal environment evaluation. This paper has reviewed the historic evolution of thermal comfort research during the last century using a systematic approach and a particular focus on adaptive thermal comfort studies. A large number of published articles as well as standards and guides were collected and screened based on a rigorous search method to ensure the literature database was both focused and complete. A further evaluation of representative prediction models has been conducted by applying the models to a large database and comparing the differences in their performance. Based on the review analysis, three representative thermal environment assessment approaches were classified as the heat balance approach, the adaptive regression-based approach and the adaptive heat balance approach. The strengths and constraints of each approach were analyzed. Comparisons of different models in the adaptive heat balance approach were conducted using the ASHRAE databases I&II. Thermal comfort theory and approaches have been developed which underpin standards and guidelines in building and engineering system design, operation and evaluation though there are pros and cons of different methods. The heat balance approach features the detailed parameters of design criteria of indoor thermal environments. The adaptive regression-based approach played an important role in raising awareness of adaptive capacities and paved the way towards first implementations into standardization. The adaptive heat balance approach combines the heat balance and the adaptive regression approaches and leads towards future improvements in adaptive comfort modelling. It demonstrates very good performance and its inclusive approach offers potential for further breakthroughs in reducing the limitations of the existing methods.

Item Type:Article
Divisions:Science > School of the Built Environment > Energy and Environmental Engineering group
ID Code:105028


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