Real time operation of μCHP systems using fuzzy logic

Micro Combined Heat and Power (μCHP) technologies are usually operated according to a predetermined conventional heat or electricity led operation strategy (HLOS, ELOS) [1]. μCHP systems can contribute to the transition to a low carbon economy through their relative efficient operation, their ability to use renewable fuels and reduce electrical distribution network losses. Previously, an online linear programming optimiser (LPO) for operating a μCHP system has been developed with the ability to significantly reduce operation costs when compared with HLOS and ELOS [2]. However, the online LPO depends on historical demands. In order to deal with the complexities inherent in the operation of μCHP systems, such as uncertainties in energy demands and performance, a fuzzy logic (FL) approach is required.In this paper, a real time fuzzy logic operation strategy (FLOS) has been developed and evaluated, which aims to minimise operation costs and CO2 emissions of a μCHP system. Three simulation scenarios have been investigated for the real time FLOS: the feed-in tariff (FIT) scheme; the trade of electricity; the introduction of a carbon tax. In all three scenarios investigated. Results show that the real time FLOS significantly reduces operation costs and CO2 emissions when compared with HLOS and ELOS.

► We model a real time FLOS for operating a μCHP system.
► The FLOS represents a promising solution for μCHP real time operation.
► It outperforms other strategies in terms of reducing emissions and operation cost.
► The FLOS can be easily embedded in a real time control unit such as a microprocessor.
► The FLOS has no requirement for a forecasting system or historical data.