一种基于情境感知传感器网络的一阶模拟,在保持热舒适的同时最大限度地减少了占用的能源消耗

Foo Che Bin, O. See
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引用次数: 0

摘要

热舒适是近年来智能家居设计中应用的主题。由于居住者要求更好的生态友好型住宅,因此最小化能源是样板房开发中日益关注的问题。在这项工作中,我们打算专注于入住率驱动的房屋冷却控制,以保持热舒适。为了进行更深入的分析,设计并模拟了一阶实验系统。从仿真结果出发,得到了一套静态热舒适准则下的能耗最小化问题,并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A first-order simulation based on contextually aware sensor network home in minimizing energy usage by occupancy while maintaining thermal comfort
Thermal comfort has been the subject for application in the design of a smart house in recent years. With dwellers demanding better eco-friendly operation of the house, minimizing energy is a rising concern in the development of a model house. In this work, we intend to focus on occupancy driven control of house cooling for maintaining thermal comfort. To cater for more advance analysis, a first-order experimental system is designed and simulated. From the simulation result, the minimization of energy consumption given a set of static thermal comfort criteria is obtained and discussed.
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