Literature DB >> 23590514

Progress in thermal comfort research over the last twenty years.

R J de Dear1, T Akimoto, E A Arens, G Brager, C Candido, K W D Cheong, B Li, N Nishihara, S C Sekhar, S Tanabe, J Toftum, H Zhang, Y Zhu.   

Abstract

Climate change and the urgency of decarbonizing the built environment are driving technological innovation in the way we deliver thermal comfort to occupants. These changes, in turn, seem to be setting the directions for contemporary thermal comfort research. This article presents a literature review of major changes, developments, and trends in the field of thermal comfort research over the last 20 years. One of the main paradigm shift was the fundamental conceptual reorientation that has taken place in thermal comfort thinking over the last 20 years; a shift away from the physically based determinism of Fanger's comfort model toward the mainstream and acceptance of the adaptive comfort model. Another noticeable shift has been from the undesirable toward the desirable qualities of air movement. Additionally, sophisticated models covering the physics and physiology of the human body were developed, driven by the continuous challenge to model thermal comfort at the same anatomical resolution and to combine these localized signals into a coherent, global thermal perception. Finally, the demand for ever increasing building energy efficiency is pushing technological innovation in the way we deliver comfortable indoor environments. These trends, in turn, continue setting the directions for contemporary thermal comfort research for the next decades.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Adaptive comfort model; Air movement; Multinode models; PMV/PPD; Personal comfort systems; Thermal comfort

Mesh:

Year:  2013        PMID: 23590514     DOI: 10.1111/ina.12046

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  12 in total

1.  Simulations of the impacts of building height layout on air quality in natural-ventilated rooms around street canyons.

Authors:  Fang Yang; Ke Zhong; Yonghang Chen; Yanming Kang
Journal:  Environ Sci Pollut Res Int       Date:  2017-08-30       Impact factor: 4.223

2.  The response of human thermal sensation and its prediction to temperature step-change (cool-neutral-cool).

Authors:  Xiuyuan Du; Baizhan Li; Hong Liu; Dong Yang; Wei Yu; Jianke Liao; Zhichao Huang; Kechao Xia
Journal:  PLoS One       Date:  2014-08-19       Impact factor: 3.240

3.  Thermal Transmission through Existing Building Enclosures: Destructive Monitoring in Intermediate Layers versus Non-Destructive Monitoring with Sensors on Surfaces.

Authors:  Víctor Echarri; Almudena Espinosa; Carlos Rizo
Journal:  Sensors (Basel)       Date:  2017-12-08       Impact factor: 3.576

4.  Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam.

Authors:  Rick Kramer; Lisje Schellen; Henk Schellen; Boris Kingma
Journal:  Temperature (Austin)       Date:  2017-03-20

5.  Modelling the thermal behaviour of a building facade using deep learning.

Authors:  Fidel Aznar; Victor Echarri; Carlos Rizo; Ramón Rizo
Journal:  PLoS One       Date:  2018-12-21       Impact factor: 3.240

6.  Thermostat wars? The roles of gender and thermal comfort negotiations in household energy use behavior.

Authors:  Nicole D Sintov; Lee V White; Hugh Walpole
Journal:  PLoS One       Date:  2019-11-13       Impact factor: 3.240

7.  Measurement of Personal Experienced Temperature Variations in Rural Households Using Wearable Monitors: A Pilot Study.

Authors:  Rongjiang Ma; Yu Fu; Mengsi Deng; Xingli Ding; Jill Baumgartner; Ming Shan; Xudong Yang
Journal:  Int J Environ Res Public Health       Date:  2020-09-16       Impact factor: 3.390

8.  Physiological and subjective comfort evaluation under different airflow directions in a cooling environment.

Authors:  Kaori Tamura; Sayaka Matsumoto; Yu Hsuan Tseng; Takayuki Kobayashi; Jun'ichi Miwa; Ken'ichi Miyazawa; Toyotaka Hirao; Soichiro Matsumoto; Seiji Hiramatsu; Hiroyuki Otake; Tsuyoshi Okamoto
Journal:  PLoS One       Date:  2021-04-14       Impact factor: 3.240

9.  Modeling Associations between Principals' Reported Indoor Environmental Quality and Students' Self-Reported Respiratory Health Outcomes Using GLMM and ZIP Models.

Authors:  Oluyemi Toyinbo; Markus Matilainen; Mari Turunen; Tuula Putus; Richard Shaughnessy; Ulla Haverinen-Shaughnessy
Journal:  Int J Environ Res Public Health       Date:  2016-03-30       Impact factor: 3.390

10.  Integrated Method for Personal Thermal Comfort Assessment and Optimization through Users' Feedback, IoT and Machine Learning: A Case Study .

Authors:  Francesco Salamone; Lorenzo Belussi; Cristian Currò; Ludovico Danza; Matteo Ghellere; Giulia Guazzi; Bruno Lenzi; Valentino Megale; Italo Meroni
Journal:  Sensors (Basel)       Date:  2018-05-17       Impact factor: 3.576

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