New Advanced Technology Methods for Energy Efficiency of Buildings

被引:0
作者
Groumpos, Peter P. [1 ]
Mpelogianni, Vassiliki [1 ]
机构
[1] Univ Patras, Elect & Comp Engn Dept, Patras, Greece
来源
2020 11TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS (IISA 2020) | 2020年
关键词
Conventional Control; control strategy; heating ventilating and air-conditioning system; fuzzy logic; neural networks; fuzzy cognitive map; FUZZY; SYSTEMS; DESIGN;
D O I
10.1109/iisa50023.2020.9284345
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Energy consumed by buildings represents a large part of the world's total energy consumption with a total share of 40%. This is the reason why energy efficiency of buildings has become a very important scientific field. For the purpose of this paper a critical review of old and new methods of controlling the parts of a building's automation and thus achieving energy savings are compared, analyzed and presented. The method of Fuzzy Cognitive Maps (FCM) and its significant impact on the improvement of the management of a building is being presented. FCMs is a new soft computing method which combine neural networks and Fuzzy Logic. They have been used with very promising results in many fields such as medicine, transportation, manufacturing agriculture, food industry and energy. In this paper the use of FCMs is exploited and specifically used in issues of energy efficiency of buildings. Obtained results, simulation and experimental, for case studies where FCMs were used in buildings, of residential and commercial use, in Southern Greece will be presented. Software tools based on the aforementioned applications will be briefly presented. In the near future these tools are going to be integrated in even more buildings thus giving us real data which can and will be used in future research for moving from high energy consumption to Net-Zero Energy Buildings (NZEB).
引用
收藏
页码:287 / 294
页数:8
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