Abstract The steady-state thermal environment creates obvious challenges to health and energy, which arouse people's concern on the dynamic thermal environment. As an important way to improve thermal comfort and reduce energy consumption, airflow has been widely concerned. Being a highly acceptable airflow, simulating natural wind can be adopted to set up a dynamic thermal environment. Influencing factors of the dynamic thermal environment are much more spread out than the steady-state thermal environment and the human thermal comfort problem gets start from the relatively simple steady-state thermal comfort, those two determiners work and led to the consequence that research on the human comfort model of the dynamic thermal environment is relatively limited. Based on the fuzzy comprehensive evaluation method, this paper establishes the human thermal comfort model of simulating natural wind environment. Combined with the human thermal comfort experiment, the evaluation indexes of Mean Thermal Sensation Vote ( M T S V ) and Dissatisfaction Rate ( D R ) are obtained. By comparing the PMV-PPD index and MTSV-DR index with the experimental results of human thermal comfort, it was found that there was a large deviation between the PMV-PPD index and the experimental results, but the MTSV-DR index was in good agreement. According to the range of dissatisfaction rate, the appropriate combination of environmental parameters is recommended. It provides a new way of thinking for human thermal comfort evaluation in dynamic thermal environment.

中文翻译：

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模拟自然风环境下人体热舒适度的模糊综合评价

摘要 稳态热环境给健康和能源带来了明显的挑战，引起人们对动态热环境的关注。气流作为提高热舒适性和降低能耗的重要途径，受到了广泛的关注。作为一种高度可接受的气流，可​​以采用模拟自然风来设置动态热环境。动态热环境的影响因素比稳态热环境更广泛，人体热舒适问题从相对简单的稳态热舒适开始，这两个决定因素起作用并导致研究结果动态热环境的人体舒适度模型相对有限。基于模糊综合评价方法，本文建立了模拟自然风环境的人体热舒适模型。结合人体热舒适实验，得到了平均热感觉投票（MTSV）和不满意率（DR）的评价指标。通过将PMV-PPD指数和MTSV-DR指数与人体热舒适性实验结果进行对比，发现PMV-PPD指数与实验结果存在较大偏差，但MTSV-DR指数良好协议。根据不满意率的范围，推荐合适的环境参数组合。为动态热环境下人体热舒适性评价提供了一种新的思路。得到了平均热感觉投票（MTSV）和不满意率（DR）的评价指标。通过将PMV-PPD指数和MTSV-DR指数与人体热舒适性实验结果进行对比，发现PMV-PPD指数与实验结果存在较大偏差，但MTSV-DR指数良好协议。根据不满意率的范围，推荐合适的环境参数组合。为动态热环境下人体热舒适性评价提供了一种新的思路。得到了平均热感觉投票（MTSV）和不满意率（DR）的评价指标。通过将PMV-PPD指数和MTSV-DR指数与人体热舒适性实验结果进行对比，发现PMV-PPD指数与实验结果存在较大偏差，但MTSV-DR指数良好协议。根据不满意率的范围，推荐合适的环境参数组合。为动态热环境下人体热舒适性评价提供了一种新的思路。发现PMV-PPD指标与实验结果存在较大偏差，但MTSV-DR指标符合较好。根据不满意率的范围，推荐合适的环境参数组合。为动态热环境下人体热舒适性评价提供了一种新的思路。发现PMV-PPD指标与实验结果存在较大偏差，但MTSV-DR指标符合较好。根据不满意率的范围，推荐合适的环境参数组合。为动态热环境下人体热舒适性评价提供了一种新的思路。