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.
|Number of pages||10|
|Journal||Energy and Buildings|
|Publication status||Published - Dec 2012|
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