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Numerical modelling of thermal comfort in non-uniform environments using real-time coupled simulation models

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conference contribution
posted on 2016-09-30, 13:34 authored by Francesco Babich, Malcolm CookMalcolm Cook, Dennis LovedayDennis Loveday, Paul C. Cropper
This research aimed to test and validate the only existing real-time coupled model of human thermal comfort by comparing simulation results and measured data for a number of different realistic non-uniform scenarios. This model incorporates detailed and realistic human figures in CFD, coupled with the IESD-Fiala model which enables the reaction of human occupants and their influence on the environment by heat and mass transfer to be modelled. A set of likely configurations have been created in an environmental chamber. Typical furniture, a thermal manikin and a portable fan have been used to generate non-uniform controlled environments, and detailed measurements have been taken. The same configurations have been modelled using the coupled model. The initial results highlight that this coupled model can effectively predict human thermal comfort in non-uniform environments, being able to represent dynamic conditions around the body in real time. Further work is addressing more complex configurations.


This research was financially supported by the Engineering and Physical Sciences Research Council (EPSRC) via the London -Loughborough Centre for Doctoral Research in Energy Demand (LoLo), and by the British Council under the Global Innovation Initiative, the latter involving an international research collaboration between UC Berkeley (USA), CEPT University (India), Loughborough University and De Montfort University (UK).



  • Architecture, Building and Civil Engineering

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Building Simulation and Optimisation 2016: 3rd IBPSA-England Conference


4 - 11 (8)


BABICH, F. al., 2016. Numerical modelling of thermal comfort in non-uniform environments using real-time coupled simulation models. IN: Proceedings of 2016 3rd Conference of IBPSA-England: Building Simulation and Optimization (BSO16), Newcastle, Great Britain, 12-14 September 2016. pp. 4 - 11.




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Newcastle upon Tyne