A first-order simulation based on contextually aware sensor network home in minimizing energy usage by occupancy while maintaining thermal comfort

Foo Che Bin, O. See
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Abstract

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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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
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。
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