Micro Combined Heat and Power (μCHP) technologies are usually operated according to a predetermined conventional heat or electricity led operation strategy (HLOS, ELOS) . 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 . 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.
Copyright 2012 Elsevier B.V., All rights reserved.
- Efficient operation of energy systems
- Fuzzy logic
- Low emission technologies
- Micro CHP technology
- PEM fuel cells
- Sustainable buildings