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State of the Art on Advanced Control of Electric Energy Transformation to Hydrogen

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Innovations in Bio-Inspired Computing and Applications (IBICA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 419))

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Abstract

The need for sustainable power production has led to the development of more innovative approaches to production and storage. In light of this hydrogen production through wind power has emerged as sufficient in ensuring that the objectives of the Paris Agreement are made. This paper discusses the state-of-art models and controls used in ensuring that greater efficiency is achieved in the processes of energy to hydrogen transformation. The paper concludes with a comparison of the models and determination of one which suffices in ensuring that hydrogen/energy transformation is more efficient.

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Author information

Authors and Affiliations

  1. Universidade de Trás-os-Montes e Alto Douro (UTAD), Vila Real, Portugal

    Ricardo Puga & José Boaventura

  2. Centre for Robotics in Industry and Intelligent Systems, INESC TEC, Porto, Portugal

    José Boaventura

  3. ISEP/IPP, Porto, Portugal

    Judite Ferreira & Ana Madureira

  4. ISRC - Interdisciplinary Studies Research Center, Porto, Portugal

    Judite Ferreira & Ana Madureira

Authors
  1. Ricardo Puga
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  2. José Boaventura
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  3. Judite Ferreira
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  4. Ana Madureira
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Corresponding author

Correspondence to Judite Ferreira .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  3. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  5. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Anu Bajaj

  6. Faculty of Information Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  7. Vilnius University, Kaunas, Lithuania

    Dalia Kriksciuniene

  8. Lisbon University Institute, Lisbon, Portugal

    João Carlos Ferreira

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Puga, R., Boaventura, J., Ferreira, J., Madureira, A. (2022). State of the Art on Advanced Control of Electric Energy Transformation to Hydrogen. In: Abraham, A., et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_69

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