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Real time operation of μCHP systems using fuzzy logic

Lookup NU author(s): Professor Phil Taylor, Professor Graham Coates


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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.

Publication metadata

Author(s): Shaneb OA, Taylor PC, Coates G

Publication type: Article

Publication status: Published

Journal: Energy and Buildings

Year: 2012

Volume: 55

Pages: 141-150

Print publication date: 01/12/2012

ISSN (print): 0378-7788

ISSN (electronic): 1872-6178

Publisher: Elsevier SA


DOI: 10.1016/j.enbuild.2012.07.048


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