Loughborough University
Browse
- No file added yet -

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

Download (3.33 MB)
journal contribution
posted on 2022-05-05, 10:31 authored by Runming Yao, Shaoxing Zhang, Chenqiu Du, Marcel Schweiker, Simon HodderSimon Hodder, Bjarne W. Olesen, Jørn Toftum, Francesca Romana d'Ambrosio, Hansjürgen Gebhardt, Shan Zhou, Feng Yuan, Baizhan Li
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.

Funding

Natural Science Foundation of Chongqing, China (Grant No. cstc2021ycjh-bgzxm0156)

Research grant (21055) from VILLUM FONDEN, Denmark

History

School

  • Design and Creative Arts

Department

  • Design

Published in

Building and Environment

Volume

217

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Building and Environment and the definitive published version is available at https://doi.org/10.1016/j.buildenv.2022.109020

Acceptance date

2022-03-22

Publication date

2022-04-08

Copyright date

2022

ISSN

0360-1323

Language

  • en

Depositor

Dr Simon Hodder. Deposit date: 3 May 2022

Article number

109020

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC