Development of a Residential Space-Heating Demand Prediction Method under Uncertainly
- https://doi.org/10.2991/gmee-15.2015.45How to use a DOI?
- heat demand prediction; uncertainty; heating system; fuzzy set
in 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.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dianzheng Fu AU - Zeyu Zheng AU - Yiming Tong AU - Yang Fu PY - 2015/12 DA - 2015/12 TI - Development of a Residential Space-Heating Demand Prediction Method under Uncertainly BT - Proceedings of the 2nd International Conference on Green Materials and Environmental Engineering PB - Atlantis Press SP - 170 EP - 173 SN - 2352-5401 UR - https://doi.org/10.2991/gmee-15.2015.45 DO - https://doi.org/10.2991/gmee-15.2015.45 ID - Fu2015/12 ER -