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Development of a Residential Space-Heating Demand Prediction Method under Uncertainly
Fu DZ(付殿峥); Zheng ZY(郑泽宇); Tong YM(仝义明); Fu Y(傅洋)
Department数字工厂研究室
Conference Name2015 2nd International Conference on Green Materials and Environmental Engineering (GMEE 2015)
Conference DateDecember 20-21, 2015
Conference PlacePhuket, Thailand
Source Publication2015 2nd International Conference on Green Materials and Environmental Engineering (GMEE 2015)
PublisherAtlantis Press
Publication PlacePARIS
2015
Pages170-173
Indexed ByCPCI(ISTP)
WOS IDWOS:000388444200045
Contribution Rank1
ISSN2352-5401
ISBN978-94-6252-138-4
KeywordHeat Demand Prediction Uncertainty Heating System Fuzzy Set
AbstractIn this paper, a prediction method was advanced for residential space heating demand under the fuzz environment. This developed method improved the traditional heat load duration curve method via the quantification expression technique for the fuzzy heating durations. The results indicate that the higher the system possibility is, the narrower the interval of the heat demand prediction result becomes, in which the decision maker can adjust the practical heat provisions of the heat sources. Besides, the opposite heat provision variation trend of the main heat source and peak-shaving heat source can be obtained with the rising thermalization coefficient. Compared with the traditional heat load duration curve method, it is helpful for the relative multi-heat-source centralized heating system managers by providing a potential tradeoff analysis between the system possibility and the selectable heat provision ranges of different heat sources.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19488
Collection数字工厂研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, PR China
2.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, 110016, PR China
Recommended Citation
GB/T 7714
Fu DZ,Zheng ZY,Tong YM,et al. Development of a Residential Space-Heating Demand Prediction Method under Uncertainly[C]. PARIS:Atlantis Press,2015:170-173.
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