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Human body exergy consumption and thermal comfort of an office worker in typical and extreme weather conditions in Finland

机译:芬兰典型和极端天气条件下上班族的人体热量消耗和热舒适度

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Finding the way to predict optimal thermal conditions for an office worker would contribute to sustainable building design: the environmental effects would be reduced, the economics of the organization and whole society would improve and there would be indisputable social benefits for the individual and the global community. These benefits stem from the improved productivity of the office worker in most favorable thermal environment and the possibilities to achieve this with lower energy demand. This study uses a new approach, exergy analysis, to recognise the optimal conditions by looking for the combination of mean radiant temperature and room air temperature giving the lowest human body exergy consumption rate. All of the commonly used thermal comfort prediction methods use energy analysis, and it seems that exergy analysis could give more accurate prediction of the conditions giving optimal thermal comfort. The new method is applied to the case of office worker in typical and extreme weather conditions in Finland. The results agree well with the previous analyses, and moreover, the points giving minimum human body exergy consumption rate coincide with the points usually regarded as most comfortable in summer conditions. According to recent studies, people are also most productive at these conditions.
机译:寻找预测上班族最佳热工条件的方法将有助于可持续建筑设计:减少环境影响,改善组织和整个社会的经济状况,并为个人和全球社区带来无可争议的社会效益。这些好处来自在最有利的热环境下提高了上班族的生产率,并有可能以较低的能源需求实现这一目标。这项研究使用一种新方法,即火用分析,通过寻找平均辐射温度和室内空气温度的组合来确定最佳的条件,从而使人体的火用消耗率最低。所有常用的热舒适性预测方法都使用能量分析,并且似乎本能分析可以对提供最佳热舒适性的条件进行更准确的预测。该新方法适用于芬兰典型和极端天气条件下的上班族。结果与先前的分析非常吻合,此外,给出最低人体能动消耗率的积分与通常被认为在夏季条件下最舒适的积分相吻合。根据最近的研究,人们在这些条件下也最有生产力。

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