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首页> 外文期刊>Building and Environment >Modification of sweat evaporative heat loss in the PMV/PPD model to improve thermal comfort prediction in warm climates
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Modification of sweat evaporative heat loss in the PMV/PPD model to improve thermal comfort prediction in warm climates

机译：修改PMV / PPD模型中的汗液蒸发热损失，提高温暖气候热舒适预测

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摘要

Deficient performance of Predicted Mean Vote (PMV) in estimating thermal sensation in warm environments has always been considered as one of the major drawbacks of this model. This well-known shortcoming is often attributed to PMV overlooking thermal adaptation, but simplistic treatment of thermoregulatory sweating may also partly contribute to this error. In this paper a new approach to estimating sweating heat loss in the PMV model is proposed based on a piecewise fuzzy regression model. The effect of sweating at low physical activity levels and the impact of environmental parameters on whole-body evaporative heat loss are also accounted for. The new modified PMV model is validated with previously published experimental data. The result of our analysis demonstrated that the proposed model performs better than the original PMV model. The modified PMV model predicted thermal sensations more accurately than the original version of the PMV model, even without the expectancy factor being applied. This implies that a considerable part of the PMV error is associated with the simplification of sweating calculations. Ignoring the structural drawback of the original PMV calculations can lead to over-estimation of adaptation (or expectancy) coefficients when adjusting the PMV model.
机译：在估计温暖环境中估计热敏时的预测平均投票（PMV）的性能一直被认为是该模型的主要缺点之一。本众所周知的缺点通常归因于PMV俯瞰热适应，但热调节性出汗的简单处理也可能部分有助于这种误差。本文基于分段模糊回归模型提出了一种估算PMV模型中出汗热损失的新方法。在低体育活动水平下出汗的效果和环境参数对全身蒸发热损失的影响也被占了。新型修改的PMV模型验证了先前已发布的实验数据。我们的分析结果表明，所提出的模型比原始PMV模型更好。即使没有应用的预期因子，改进的PMV模型比PMV模型的原始版本更准确地预测热敏感觉。这意味着PMV误差的相当大部分与汗水计算的简化相关联。忽略原始PMV计算的结构缺点可能导致在调整PMV模型时的适应（或期望）系数的过度估计。

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