Coupling a model of human thermoregulation with computational fluid dynamics for predicting human-environment interaction

Cropper, Paul C., Yang, Tong ORCID logoORCID: https://orcid.org/0000-0002-1254-5628, Cook, Malcolm J., Fiala, Dusan and Yousaf, Rehan (2010) Coupling a model of human thermoregulation with computational fluid dynamics for predicting human-environment interaction. Journal of Building Performance Simulation, 3 (3) . pp. 233-243. ISSN 1940-1493 [Article] (doi:10.1080/19401491003615669)

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Abstract

This paper describes the methods developed to couple a commercial CFD program with a multi-segmented model of human thermal comfort and physiology. A CFD model is able to predict detailed temperatures and velocities of airflow around a human body, whilst a thermal comfort model is able to predict the response of a human to the environment surrounding it. By coupling the two models and exchanging information about the heat transfer at the body surface the coupled system can potentially predict the response of a human body to detailed local environmental conditions. This paper presents a method of exchanging data, using shared files, to provide a means of dynamically exchanging simulation data with the IESD-Fiala model during the CFD solution process. Additional
code is used to set boundary conditions for the CFD simulation at the body surface as determined by the IESD-Fiala model and to return information about local environmental conditions adjacent to the body surface as determined by the CFD simulation. The coupled system is used to model a human subject in a naturally ventilated environment. The resulting ventilation flow pattern agrees well with other numerical and
experimental work.

Item Type: Article
Research Areas: A. > School of Science and Technology
Item ID: 22361
Notes on copyright: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Building Performance Simulation on 11/05/2010, available online: http://www.tandfonline.com/10.1080/19401491003615669
Useful Links:
Depositing User: Tong Yang
Date Deposited: 17 Aug 2017 15:36
Last Modified: 30 Nov 2022 01:00
URI: https://eprints.mdx.ac.uk/id/eprint/22361

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