Control and energy management of a cascade heating system by fuzzy logic control embedded into a LONWORKS®- LOCAL operating network- system

Abstract

Generation and consumption of heat power for domestic demand should consider economical and ecological aspects. Fuzzy Logic provides, by evaluation of the thermal behavior of the heating system, a powerful rule base for decision making in order to guarantee optimal operation of the heating system. Analysis of the dynamically thermal behavior of the Building and the heating system was necessary, in order to use measurement information as input variables for different Fuzzy Controllers. The whole system consists of three different Fuzzy Controllers with the following functions: Fuzzy PID- Controller for a supply temperature Control loop, a Fuzzy Controller for optimal evaluation of heat power demand, and a Fuzzy Controller for the operation of a Cascade Heat Center with high efficiency and lowest contaminated exhaust emission.