Decision Support for Intelligent Energy Management in Buildings Using the Thermal Comfort Model

被引：1
作者：
Vangelis Marinakis
Haris Doukas
Evangelos Spiliotis
Ilias Papastamatiou
机构：
[1] National Technical University of Athens,School of Electrical & Computer Engineering
来源：
International Journal of Computational Intelligence Systems | 2017年 / 10卷
关键词：
Decision Support System; Intelligent Energy Management; Thermal Comfort Validator; Energy Reduction; Buildings; Web Applications;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The main objective of this paper is to present a transparent Decision Support System (DSS) for the energy managers of buildings, which can assist them in setting indoor temperature set point, based on the feedback received by the occupants. Within the proposed DSS, the Thermal Comfort Validator (TCV) tool is introduced, a fully responsive and cross-platform web-app which exploits the Predicted Mean Vote comfort theory by considering real-time feedback of the occupants. The TCV facilitates the detection of the range of accepted temperature inside a building, by correlating “real” with “predicted” thermal comfort, to overcome the limits of the standardized approaches. The proposed system can reveal an important potential for achieving energy savings by means of dynamic event driven data collection and processing, while ensuring high levels of comfort.
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页码：882 / 893
页数：11
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