Predicted mean vote (PMV) is a prevailing thermal comfort model adopted by thermal comfort standards. To extend its ability in explaining thermal adaptations, the PMV is multiplied by an extension factor. However, the original extended PMV (ePMV) cannot account for thermal adaptations around thermal neutrality, resulting in deviation around thermal neutrality, therefore, is unable to predict thermal sensation around thermal neutrality accurately. Given the unusual importance of thermal sensation around thermal neutrality for energy-efficient provision of indoor thermal comfort, this study modifies the ePMV to reinforce thermal adaptations around thermal neutrality by adding a thermal neutrality factor. The modified ePMV is quantified by explicitly expressing the extension factor and the thermal neutrality factor as functions of field datasets of the PMV, thermal sensation vote (TSV), and ambient temperature. The modified ePMV is validated to improve thermal sensation prediction effectively (by up to 73%), particularly for prediction around thermal neutrality with the TSV between −0.5 and 0.5, by mitigating deviation around thermal neutrality for different types of buildings under various climate conditions around the world. Moreover, the modified ePMV is explicitly formulated and, therefore, convenient for practical applications.

中文翻译：

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围绕热中性增强了热适应的扩展预测平均投票

预测平均投票 (PMV) 是热舒适标准采用的流行热舒适模型。为了扩展其解释热适应的能力，将 PMV 乘以扩展因子。然而，原始扩展的 PMV ( e PMV) 无法解释围绕热中性的热适应，导致围绕热中性的偏差，因此无法准确预测围绕热中性的热感觉。鉴于热中性周围的热感觉对于室内热舒适的节能提供非常重要，本研究修改e PMV 以通过添加热中性因子来增强热中性周围的热适应。修改后的ePMV 通过明确表达扩展因子和热中性因子作为 PMV、热感觉投票 (TSV) 和环境温度的场数据集的函数来量化。经验证，修改后的e PMV 可有效改善热感觉预测（高达 73%），特别是通过减少不同类型建筑物在各种气候下的热中性偏差，在大约 0.5 到 0.5 之间的 TSV 时预测热中性世界各地的情况。此外，修改后的e PMV 是明确制定的，因此便于实际应用。