Literature DB >> 18363685

Forty years of Fanger's model of thermal comfort: comfort for all?

J van Hoof1.   

Abstract

UNLABELLED: The predicted mean vote (PMV) model of thermal comfort, created by Fanger in the late 1960s, is used worldwide to assess thermal comfort. Fanger based his model on college-aged students for use in invariant environmental conditions in air-conditioned buildings in moderate thermal climate zones. Environmental engineering practice calls for a predictive method that is applicable to all types of people in any kind of building in every climate zone. In this publication, existing support and criticism, as well as modifications to the PMV model are discussed in light of the requirements by environmental engineering practice in the 21st century in order to move from a predicted mean vote to comfort for all. Improved prediction of thermal comfort can be achieved through improving the validity of the PMV model, better specification of the model's input parameters, and accounting for outdoor thermal conditions and special groups. The application range of the PMV model can be enlarged, for instance, by using the model to assess the effects of the thermal environment on productivity and behavior, and interactions with other indoor environmental parameters, and the use of information and communication technologies. Even with such modifications to thermal comfort evaluation, thermal comfort for all can only be achieved when occupants have effective control over their own thermal environment. PRACTICAL IMPLICATIONS: The paper treats the assessment of thermal comfort using the PMV model of Fanger, and deals with the strengths and limitations of this model. Readers are made familiar to some opportunities for use in the 21st-century information society.

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Year:  2008        PMID: 18363685     DOI: 10.1111/j.1600-0668.2007.00516.x

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


  10 in total

1.  Elderly bioheat modeling: changes in physiology, thermoregulation, and blood flow circulation.

Authors:  Mohamad Rida; Nesreen Ghaddar; Kamel Ghali; Jamal Hoballah
Journal:  Int J Biometeorol       Date:  2014-01-24       Impact factor: 3.787

2.  A comparison of suit dresses and summer clothes in the terms of thermal comfort.

Authors:  Can Ekici; Ibrahim Atilgan
Journal:  J Environ Health Sci Eng       Date:  2013-12-19

3.  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

4.  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

Review 5.  A Comprehensive Survey about Thermal Comfort under the IoT Paradigm: Is Crowdsensing the New Horizon?

Authors:  Valentina Tomat; Alfonso P Ramallo-González; Antonio F Skarmeta Gómez
Journal:  Sensors (Basel)       Date:  2020-08-18       Impact factor: 3.576

6.  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

7.  Physiological comfort evaluation under different airflow directions in a heating environment.

Authors:  Kaori Tamura; Sayaka Matsumoto; Yu Hsuan Tseng; Takayuki Kobayashi; Jun'ichi Miwa; Ken'ichi Miyazawa; Soichiro Matsumoto; Seiji Hiramatsu; Hiroyuki Otake; Tsuyoshi Okamoto
Journal:  J Physiol Anthropol       Date:  2022-04-15       Impact factor: 2.509

8.  Understanding teachers' experiences of ventilation in California K-12 classrooms and implications for supporting safe operation of schools in the wake of the COVID-19 pandemic.

Authors:  Angela Sanguinetti; Sarah Outcault; Theresa Pistochini; Madison Hoffacker
Journal:  Indoor Air       Date:  2022-02-15       Impact factor: 6.554

Review 9.  Human skin wetness perception: psychophysical and neurophysiological bases.

Authors:  Davide Filingeri; George Havenith
Journal:  Temperature (Austin)       Date:  2015-02-03

10.  Classroom-comfort-data: A method to collect comprehensive information on thermal comfort in school classrooms.

Authors:  Carolina M Rodriguez; María Camila Coronado; Juan Manuel Medina
Journal:  MethodsX       Date:  2019-11-07
  10 in total

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