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Thermal sensation and comfort models for non-uniform and transient environments, part IV: Adaptive neutral setpoints and smoothed whole-body sensation model
Abstract Models for body-segment-specific thermal sensation and comfort were put forward in 2010 in a three-part series in this journal. The models predict these subjective responses to the environment from thermophysiological measurements or simulations of skin and core temperatures, and apply to a range of environments: uniform and non-uniform, transient and stable. The models are based on unique experimental data, and formulated in a rational but piecewise structure that simplifies further validation and refinement. The models have received much attention and this experience has pointed out two issues needing improvement at the fundamental level. This paper presents solutions to these issues: In the local sensation model, the neutral set-points for segment skin temperatures are sensitive to the distribution of clothing insulation provided by different clothing ensembles, and to metabolic rate. A new calculation sequence automatically creates accurate segment set-points for specific clothing and activity levels. In the whole-body (overall) sensation model, the piecewise model construction produced unrealistic jumps in output at the transitions between pieces. A smoothing technique using the model's key organizational variables was developed and incorporated into the original model. Several corrections and clarifications are listed in an Appendix.
Highlights We propose a scheme to determine the set-points for different cloth distributions. The propose method can also be used in set-points at different activities. We propose a smoothing method to fix the jump problems in original model. The smoothing method is rationale and has good performance.
Thermal sensation and comfort models for non-uniform and transient environments, part IV: Adaptive neutral setpoints and smoothed whole-body sensation model
Abstract Models for body-segment-specific thermal sensation and comfort were put forward in 2010 in a three-part series in this journal. The models predict these subjective responses to the environment from thermophysiological measurements or simulations of skin and core temperatures, and apply to a range of environments: uniform and non-uniform, transient and stable. The models are based on unique experimental data, and formulated in a rational but piecewise structure that simplifies further validation and refinement. The models have received much attention and this experience has pointed out two issues needing improvement at the fundamental level. This paper presents solutions to these issues: In the local sensation model, the neutral set-points for segment skin temperatures are sensitive to the distribution of clothing insulation provided by different clothing ensembles, and to metabolic rate. A new calculation sequence automatically creates accurate segment set-points for specific clothing and activity levels. In the whole-body (overall) sensation model, the piecewise model construction produced unrealistic jumps in output at the transitions between pieces. A smoothing technique using the model's key organizational variables was developed and incorporated into the original model. Several corrections and clarifications are listed in an Appendix.
Highlights We propose a scheme to determine the set-points for different cloth distributions. The propose method can also be used in set-points at different activities. We propose a smoothing method to fix the jump problems in original model. The smoothing method is rationale and has good performance.
Thermal sensation and comfort models for non-uniform and transient environments, part IV: Adaptive neutral setpoints and smoothed whole-body sensation model
Zhao, Yin (Autor:in) / Zhang, Hui (Autor:in) / Arens, Edward A. (Autor:in) / Zhao, Qianchuan (Autor:in)
Building and Environment ; 72 ; 300-308
05.11.2013
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
British Library Online Contents | 2014
|British Library Online Contents | 2010
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