NDLI: Fuzzy logic control for solar powered hydrogen production, storage and utilisation system

Content Provider	IEEE Xplore Digital Library
Author	Fan Zhang Thanapalan, K. Procter, A. Maddy, J. Guwy, A.
Copyright Year	2012
Description	Author affiliation: University of Glamorgan, Hydrogen Centre, Baglan Energy Park, Port Talbot, SA12 7AX, United Kingdom (Fan Zhang; Thanapalan, K.; Procter, A.; Maddy, J.; Guwy, A.)
Abstract	Climate change concerns, increasing global energy demand, coupled with limited supply of fossil fuels, calls for development of new power source. Solar energy is a very promising renewable energy source to moderate the growth of energy demand. The combination of electrolyser and fuel cell which use hydrogen as an energy carrier extends the utilisation of the solar energy. For this integrated solar powered hydrogen production, storage and utilisation system, one of the problems is to develop an efficient control system to improve the performance of the overall system. This paper presents a power management strategy based on fuzzy logic technology to address such problem. The target of this power management strategy is to meet the power demand, to maximise the hydrogen production and to minimise the usage of battery. Therefore, the overall system's efficiency will be increased and lifetime of the battery pack will be extended. The numerical results based on real solar data for a one year period shown that the proposed fuzzy logic controller behaved as expected, it was able to meet the power demand and to store the hydrogen when possible while maintain the battery's state of charge at desired level.
Starting Page	912
Ending Page	917
File Size	703663
Page Count	6
File Format	PDF
ISBN	9781467315593
e-ISBN	9781467315609
e-ISBN	9781467315586
DOI	10.1109/CONTROL.2012.6334753
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-03
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Renewable energy Hydrogen Power management Fuel cells Production Fuzzy logic control Batteries System-on-a-chip Arrays Hydrogen production and storage
Content Type	Text
Resource Type	Article

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