NDLI: Operation optimization of Fuel Cell Power Plant with new method in thermal recovery using particle swarm algorithm

Content Provider	IEEE Xplore Digital Library
Author	Shahverdi, M. Moghaddas-Tafreshi, S.M.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., K. N. Toosi Univ. of Technol., Tehran (Shahverdi, M.; Moghaddas-Tafreshi, S.M.)
Abstract	Fuel Cell Power Plant (FCPP) can be directly connected to a building to provide both power and heat with cogeneration efficiencies as high as 80%. In this method, in addition to electrical and thermal energy, hydrogen is obtained as a useful byproduct. In this paper, we have used Particle Swarm Optimization to minimize the cost function of such a model. There is two different ways to recover thermal energy of FCPP. In this paper we present new method and compare these three ways. This new method decreases daily operation cost of the system drastically. Also, the effect of different tariff for purchasing and selling electricity in each hour of a day is studied. For modeling the system we have chosen four parallel 68 kw PEM and a reformer with capacity of $100NH^{2}/HR$ from BALLARD and MAHLER company respectively. The optimal strategy of system operation is determined by calculation of the following parameters: hourly generated power, recovered thermal power, power exchanged with the local grid, and the amount of produced hydrogen.
Starting Page	2542
Ending Page	2547
File Size	562970
Page Count	6
File Format	PDF
ISBN	9787900714138
DOI	10.1109/DRPT.2008.4523839
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	DRPT
Subject Keyword	Optimization methods Fuel cells Power generation Particle swarm optimization Hydrogen Power system modeling Thermal loading Cost function Mesh generation Heat recovery tariff rate for purchasing/selling FCPP optimal strategy Particle Swarm Optimization (PSO)
Content Type	Text
Resource Type	Article

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