论文标题
基于单个感觉估计的热舒适和节能的模型
Model for Thermal Comfort and Energy Saving Based on Individual Sensation Estimation
论文作者
论文摘要
在办公空间中，空调和照明以维持环境舒适度的比率约为70％。另一方面，许多人声称对空调的温度不满意。因此，人们担心由当前空调控制引起的降低工作效率。在这项研究中，我们提出了一个自动控制系统，该系统通过量化重要信息的热舒适性中的个体差异来改善所有室内用户的节能和热舒适度，以确定空调和可穿戴系统的最佳设置，可以直接加热和凉爽的个体。各种环境都使用不同的房间尺寸，房间中的用户数量以及加热/冷却条件进行模拟。仿真结果证明了所提出的系统在节能和最大化舒适性最大化方面的效率。
In office spaces, the ratio of energy consumption of air conditioning and lighting for maintaining the environment comfort is about 70%. On the other hand, many people claim being dissatisfied with the temperature of the air conditioning. Therefore, there is concern about work efficiency reduction caused by the current air conditioning control. In this research, we propose an automatic control system that improves both energy-saving and thermal comfort of all indoor users by quantifying individual differences in thermal comfort from vital information, on the basis of which the optimal settings of both air conditioning and wearable systems that can directly heat and cool individuals are determined. Various environments were simulated with different room sizes, numbers of users in a room, and heating/cooling conditions. The simulation results demonstrated the efficiency of the proposed system for both energy saving and comfort maximization.
