A NEURAL-FUZZY BASED ADAPTIVE CONTROL SCHEME FOR HEAT EXCHANGERS IN DISTRICT HEATING SYSTEM

被引：0
|
作者：
Huang, L. [1 ]
Liao, Z. Y. [2 ]
Zhao, L. [1 ]
机构：
[1] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON M5B 2K3, Canada
[2] Ryerson Univ, Dept Architecture, Toronto, ON M5B 2K3, Canada
来源：
7TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATING AND AIR CONDITIONING, PROCEEDINGS OF ISHVAC 2011, VOLS I-IV | 2011年
关键词：
District heating system; Neuro-Fuzzy; Inferential sensor; Energy efficiency; Control; BUILDINGS;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The control of heat exchange stations in a district heating system is critical for the overall energy efficiency and can be very difficult due to the high level of complexity. A conventional method is to control the equipment such that the temperature of the hot water supply is maintained at a set-point that may be a fixed value or be compensated against the external temperature. This paper presents a novel scheme that can determine the optimal set-point of the hot water supply that maximizes the energy efficiency whilst providing sufficient heating capacity to the load. This scheme is based on an Adaptive Neuro-Fuzzy Inferential System (ANFIS). The aim of this study is to improve the overall performance of district heating systems.
引用
收藏
页码：658 / 663
页数：6
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