4.3 Article

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

Journal

JOURNAL OF BUILDING PERFORMANCE SIMULATION
Volume 3, Issue 3, Pages 233-243

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/19401491003615669

Keywords

CFD; thermal comfort; model coupling; natural ventilation

Funding

  1. Engineering and Physical Sciences Research Council (EPSRC) [EP/C517520/1]
  2. Engineering and Physical Sciences Research Council [EP/C517520/2, EP/C517520/1] Funding Source: researchfish
  3. EPSRC [EP/C517520/2, EP/C517520/1] Funding Source: UKRI

Ask authors/readers for more resources

This article describes the methods developed to couple a commercial computational fluid dynamics (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 article 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available