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

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.