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Spatial Multi-criteria Analysis for Identifying Suitable Locations for Green Hydrogen Infrastructure

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14107))

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Abstract

The paper proposes a Spatial Multi-Criteria Analysis for identifying suitable locations for green hydrogen infrastructure. The production and use of hydrogen as a renewable energy carrier can play a critical role in reducing carbon footprint and increasing energy security in cities worldwide. The approach considers multiple criteria, such as demand, accessibility, environmental impact, and cost, to identify optimal locations for hydrogen production, storage, and distribution facilities. The GIS component enables spatial analysis, allowing visualization and analysis of spatial relationships between potential locations and other relevant factors. The research claims that green hydrogen can significantly improve energy resilience and transform energy systems. The method is applied to a case study, an energy-intensive industry in the city of Potenza (Italy). The result is the map identifying suitable areas where hydrogen production facilities can be located. The approach suggests that urban planners, decision-makers, and stakeholders develop and use green hydrogen as a sustainable energy source.

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Acknowledgements

The authors would like to thank ENEA. This research is funded by the ongoing Project POR H2 - RICERCA E SVILUPPO DI TECNOLOGIE PER LA FILIERA DELL’IDROGENO. Accordo di Programma MiTE - ENEA, PNRR Investimento 3.5 - Ricerca e Sviluppo sull’Idrogeno.

The authors would like to thank the Pittini Group for their willingness and for providing the necessary data to implement the case study through the Sustainability Report (2021).

Author information

Authors and Affiliations

  1. School of Engineering, University of Basilicata, Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Rossella Scorzelli, Shiva Rahmani, Annamaria Telesca & Beniamino Murgante

  2. Photovoltaic and Sensor Applications Laboratory, ENEA RC Portici, P.le E. Fermi 1, 80055, Naples, Italy

    Grazia Fattoruso

Authors
  1. Rossella Scorzelli
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  2. Shiva Rahmani
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  3. Annamaria Telesca
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  4. Grazia Fattoruso
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  5. Beniamino Murgante
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Corresponding author

Correspondence to Rossella Scorzelli .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Basilicata, Potenza, Italy

    Francesco Scorza

  6. University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

  7. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

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Scorzelli, R., Rahmani, S., Telesca, A., Fattoruso, G., Murgante, B. (2023). Spatial Multi-criteria Analysis for Identifying Suitable Locations for Green Hydrogen Infrastructure. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14107. Springer, Cham. https://doi.org/10.1007/978-3-031-37114-1_33

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  • DOI: https://doi.org/10.1007/978-3-031-37114-1_33

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-37114-1

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