Using a human thermoregulation model as a tool for design and refurbishment of industrial spaces for human occupancy

Sokolová, Hana; Psikuta, Agnes

doi:10.1016/j.enbuild.2018.03.014

Cited by 4 publications

(2 citation statements)

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“…It can be assumed that the accuracy of input data values influences the accuracy of thermo-physiological predictions [15]. In the case of existing buildings, the accuracy of thermo-physiological predictions can be increased by replacing assumed environmental data by measured ones, reflecting real spatial or temporal non-uniform conditions (e.g., [16]). At the design stage, the environmental input parameters in complex environments can be modelled with CFD simulations, including all heating/cooling devices, air supply, etc.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…A first system combining thermo-physiological predictions and a physical tool (i.e., a thermal manikin) for the evaluation of human thermal sensation and comfort in indoor environments was developed by Foda and Siren [23], [24]. In their approach, measured environmental parameters were fed to the thermoregulation model (similarly as in [16]). The predicted local skin temperatures were then set on the manikin and the resulting heat fluxes measured on the manikin were used to predict thermal sensation.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

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Human simulator – A tool for predicting thermal sensation in the built environment

Koelblen

Psikuta

Bogdan

et al. 2018

Building and Environment

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One of the challenges for engineers designing indoor environments is merging the need for energy savings with providing thermally comfortable conditions for the occupants. Since the best way to evaluate thermal comfort, i.e. direct enquiry, is at the same time the most costand time-consuming one, various modelling tools are widely used. However, in order to assess complex heterogeneous environments created by novel building systems, there is a need for more sophisticated and precise tools. In this paper, we present a new human simulator methodology for indoor environmental research, combining three tools to predict thermal sensation, namely, a thermal manikin, a thermoregulation model, and a thermal sensation model. Thanks to the thermoregulation model's control, the thermal manikin is capable of mimicking the thermo-physiological response of a human exposed to chosen environmental conditions, which provides reliable input data for advanced thermal sensation models. Along with presenting this concept, the performance of a commercially available human simulator was demonstrated on five validation examples representing office-like conditions for which thermal sensation was predicted with satisfactory accuracy. Based on the presented results, we discussed the capabilities and limitations of human simulators for indoor environment research such as the benefits of performing measurements directly in the assessed environment with real garments, and the challenges related to the manikin's accuracy. The presented human simulator approach is suitable to apply in the building's design process, as well as the development of new solutions for conditioning indoor spaces, and can support the evaluation of existing buildings.

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Section: Accepted Manuscriptmentioning

confidence: 99%