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Soft Computing in Green and Renewable Energy Systems pp 37–64Cite as

Use of Soft Computing Techniques in Renewable Energy Hydrogen Hybrid Systems

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 269))

Abstract

Soft computing techniques are important tools that significantly improve the performance of energy systems. This chapter reviews their many contributions to renewable energy hydrogen hybrid systems, namely those systems that consist of different technologies (photovoltaic and wind, electrolyzers, fuel cells, hydrogen storage, piping, thermal and electrical/electronic control systems) capable as a whole of converting solar energy, storing it as chemical energy (in the form of hydrogen) and turning it back into electrical and thermal energy.

Fuzzy logic decision-making methodologies can be applied to select amongst renewable energy alternative or to vary a dump load for regulating wind turbine speed or find the maximum power point available from arrays of photovoltaic modules. Dynamic fuzzy logic controllers can furthermore be utilized to coordinate the flow of hydrogen to fuel cells or employed for frequency control in micro- grid power systems.

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Authors and Affiliations

  1. University of Modena e Reggio Emilia, Via Vignolese 905, 41125, Modena, Italy

    Gabriele Zini, Simone Pedrazzi & Paolo Tartarini

Authors
  1. Gabriele Zini
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  2. Simone Pedrazzi
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  3. Paolo Tartarini
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Editors and Affiliations

  1. Civil Engineering Associate, Ames Lab, US Department of Energy Research Affiliate, Iowa Bioeconomy Institute, Iowa State University, 354 Town Engineering Building, 50011, Ames, IA, USA

    Kasthurirangan Gopalakrishnan

  2. Department of Electrical and Computer Engineering, Iowa State University, 1113 Coover Hall, 50011, Ames, IA, USA

    Siddhartha Kumar Khaitan

  3. Department of Mechanical Engineering and Materials Sciences and Engineering, Cyprus University of Technology, P.O. Box 50329, 3603, Limassol, Cyprus

    Soteris Kalogirou

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Zini, G., Pedrazzi, S., Tartarini, P. (2011). Use of Soft Computing Techniques in Renewable Energy Hydrogen Hybrid Systems. In: Gopalakrishnan, K., Khaitan, S.K., Kalogirou, S. (eds) Soft Computing in Green and Renewable Energy Systems. Studies in Fuzziness and Soft Computing, vol 269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22176-7_2

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  • DOI: https://doi.org/10.1007/978-3-642-22176-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22175-0

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