IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2080-d1043690.html
   My bibliography  Save this article

A New Geographic Information System (GIS) Tool for Hydrogen Value Chain Planning Optimization: Application to Italian Highways

Author

Listed:
  • Alessandro Guzzini

    (Department of Industrial Engineering (DIN), University of Bologna, Viale Risorgimento, 2, 40136 Bologna, Italy)

  • Giovanni Brunaccini

    (National Research Council of Italy, Institute of Advanced Energy Technologies (ITAE), Via Salita S. Lucia Sopra Contesse, 5, 98126 Messina, Italy)

  • Davide Aloisio

    (National Research Council of Italy, Institute of Advanced Energy Technologies (ITAE), Via Salita S. Lucia Sopra Contesse, 5, 98126 Messina, Italy)

  • Marco Pellegrini

    (Department of Industrial Engineering (DIN), University of Bologna, Viale Risorgimento, 2, 40136 Bologna, Italy)

  • Cesare Saccani

    (Department of Industrial Engineering (DIN), University of Bologna, Viale Risorgimento, 2, 40136 Bologna, Italy)

  • Francesco Sergi

    (National Research Council of Italy, Institute of Advanced Energy Technologies (ITAE), Via Salita S. Lucia Sopra Contesse, 5, 98126 Messina, Italy)

Abstract

Optimizing the hydrogen value chain is essential to ensure hydrogen market uptake in replacing traditional fossil fuel energy and to achieve energy system decarbonization in the next years. The design of new plants and infrastructures will be the first step. However, wrong decisions would result in temporal, economic losses and, in the worst case, failures. Because huge investments are expected, decision makers have to be assisted for its success. Because no tools are available for the optimum design and geographical location of power to gas (P2G) and power to hydrogen (P2H) plants, the geographic information system (GIS) and mathematical optimization approaches were combined into a new tool developed by CNR-ITAE and the University of Bologna in the SuperP2G project, aiming to support the interested stakeholders in the investigation and selection of the optimum size, location, and operations of P2H and P2G industrial plants while minimizing the levelized cost of hydrogen (LCOH). In the present study, the tool has been applied to hydrogen mobility, specifically to investigate the conversion of the existing refuelling stations on Italian highways to hydrogen refuelling stations (HRSs). Middle-term (2030) and long-term (2050) scenarios were investigated. In 2030, a potential demand of between 7000 and 10,000 tons/year was estimated in Italy, increasing to between 32,600 and 72,500 tons/year in 2050. The optimum P2H plant configuration to supply the HRS was calculated in different scenarios. Despite the optimization, even if the levelized cost of hydrogen (LCOH) reduces from 7.0–7.5 €/kg in 2030 to 5.6–6.2 €/kg in 2050, the results demonstrate that the replacement of the traditional fuels, i.e., gasoline, diesel, and liquefied petroleum gases (LPGs), will be disadvantaged without incentives or any other economic supporting schemes.

Suggested Citation

  • Alessandro Guzzini & Giovanni Brunaccini & Davide Aloisio & Marco Pellegrini & Cesare Saccani & Francesco Sergi, 2023. "A New Geographic Information System (GIS) Tool for Hydrogen Value Chain Planning Optimization: Application to Italian Highways," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2080-:d:1043690
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2080/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/2080/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liang Cui & Ye Xu & Ling Xu & Guohe Huang, 2021. "Wind Farm Location Special Optimization Based on Grid GIS and Choquet Fuzzy Integral Method in Dalian City, China," Energies, MDPI, vol. 14(9), pages 1-13, April.
    2. Roberta Caponi & Enrico Bocci & Luca Del Zotto, 2022. "Techno-Economic Model for Scaling Up of Hydrogen Refueling Stations," Energies, MDPI, vol. 15(20), pages 1-16, October.
    3. De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2015. "A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS)," European Journal of Operational Research, Elsevier, vol. 245(1), pages 247-264.
    4. Cesare Saccani & Marco Pellegrini & Alessandro Guzzini, 2020. "Analysis of the Existing Barriers for the Market Development of Power to Hydrogen (P2H) in Italy," Energies, MDPI, vol. 13(18), pages 1-29, September.
    5. Garcia Marrero, Luis Enrique & Arzola Ruíz, José, 2021. "Web-based tool for the decision making in photovoltaic/wind farms planning with multiple objectives," Renewable Energy, Elsevier, vol. 179(C), pages 2224-2234.
    6. Kucuksari, Sadik & Khaleghi, Amirreza M. & Hamidi, Maryam & Zhang, Ye & Szidarovszky, Ferenc & Bayraksan, Guzin & Son, Young-Jun, 2014. "An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments," Applied Energy, Elsevier, vol. 113(C), pages 1601-1613.
    7. Zhou, Jianli & Wu, Yunna & Tao, Yao & Gao, Jianwei & Zhong, Zhiming & Xu, Chuanbo, 2021. "Geographic information big data-driven two-stage optimization model for location decision of hydrogen refueling stations: An empirical study in China," Energy, Elsevier, vol. 225(C).
    8. Díaz, H. & Guedes Soares, C., 2020. "An integrated GIS approach for site selection of floating offshore wind farms in the Atlantic continental European coastline," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    9. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2019. "Development of a GIS-based platform for the allocation and optimisation of distributed storage in urban energy systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    10. Markus Reuß & Paris Dimos & Aline Léon & Thomas Grube & Martin Robinius & Detlef Stolten, 2021. "Hydrogen Road Transport Analysis in the Energy System: A Case Study for Germany through 2050," Energies, MDPI, vol. 14(11), pages 1-17, May.
    11. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2017. "GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas," Applied Energy, Elsevier, vol. 191(C), pages 1-9.
    12. Samsatli, Sheila & Samsatli, Nouri J., 2019. "The role of renewable hydrogen and inter-seasonal storage in decarbonising heat – Comprehensive optimisation of future renewable energy value chains," Applied Energy, Elsevier, vol. 233, pages 854-893.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Müller, Leander A. & Leonard, Alycia & Trotter, Philipp A. & Hirmer, Stephanie, 2023. "Green hydrogen production and use in low- and middle-income countries: A least-cost geospatial modelling approach applied to Kenya," Applied Energy, Elsevier, vol. 343(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(C).
    2. Jolando M. Kisse & Martin Braun & Simon Letzgus & Tanja M. Kneiske, 2020. "A GIS-Based Planning Approach for Urban Power and Natural Gas Distribution Grids with Different Heat Pump Scenarios," Energies, MDPI, vol. 13(16), pages 1-31, August.
    3. Horak, Daniel & Hainoun, Ali & Neugebauer, Georg & Stoeglehner, Gernot, 2022. "A review of spatio-temporal urban energy system modeling for urban decarbonization strategy formulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    4. Gordon, Joel A. & Balta-Ozkan, Nazmiye & Nabavi, Seyed Ali, 2023. "Socio-technical barriers to domestic hydrogen futures: Repurposing pipelines, policies, and public perceptions," Applied Energy, Elsevier, vol. 336(C).
    5. Ranalli, Joseph & Alhamwi, Alaa, 2020. "Configurations of renewable power generation in cities using open source approaches: With Philadelphia case study," Applied Energy, Elsevier, vol. 269(C).
    6. Johansson, Tim & Olofsson, Thomas & Mangold, Mikael, 2017. "Development of an energy atlas for renovation of the multifamily building stock in Sweden," Applied Energy, Elsevier, vol. 203(C), pages 723-736.
    7. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
    8. Pillot, Benjamin & Al-Kurdi, Nadeem & Gervet, Carmen & Linguet, Laurent, 2020. "An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale," Applied Energy, Elsevier, vol. 260(C).
    9. Domenico Tomaselli & Dieter Most & Enkel Sinani & Paul Stursberg & Hans Joerg Heger & Stefan Niessen, 2024. "Leveraging Prosumer Flexibility to Mitigate Grid Congestion in Future Power Distribution Grids," Energies, MDPI, vol. 17(17), pages 1-17, August.
    10. Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2014. "An optimal investment planning framework for multiple distributed generation units in industrial distribution systems," Applied Energy, Elsevier, vol. 124(C), pages 62-72.
    11. Ju-Yeol Ryu & Sungho Park & Changhyeong Lee & Seonghyeon Hwang & Jongwoong Lim, 2023. "Techno-Economic Analysis of Hydrogen–Natural Gas Blended Fuels for 400 MW Combined Cycle Power Plants (CCPPs)," Energies, MDPI, vol. 16(19), pages 1-19, September.
    12. Zhong, Qing & Tong, Daoqin, 2020. "Spatial layout optimization for solar photovoltaic (PV) panel installation," Renewable Energy, Elsevier, vol. 150(C), pages 1-11.
    13. Rong-Ceng Leou, 2022. "A Substation-Based Optimal Photovoltaic Generation System Placement Considering Multiple Evaluation Indices," Energies, MDPI, vol. 15(15), pages 1-18, August.
    14. Hong, Sanghyun & Kim, Eunsung & Jeong, Saerok, 2023. "Evaluating the sustainability of the hydrogen economy using multi-criteria decision-making analysis in Korea," Renewable Energy, Elsevier, vol. 204(C), pages 485-492.
    15. Nutkiewicz, Alex & Yang, Zheng & Jain, Rishee K., 2018. "Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow," Applied Energy, Elsevier, vol. 225(C), pages 1176-1189.
    16. Hugo Díaz & Carlos Guedes Soares, 2021. "A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain)," Energies, MDPI, vol. 14(4), pages 1-18, February.
    17. Gordon, Joel A. & Balta-Ozkan, Nazmiye & Nabavi, Seyed Ali, 2022. "Homes of the future: Unpacking public perceptions to power the domestic hydrogen transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    18. Michiel Fremouw & Annamaria Bagaini & Paolo De Pascali, 2020. "Energy Potential Mapping: Open Data in Support of Urban Transition Planning," Energies, MDPI, vol. 13(5), pages 1-15, March.
    19. Luigi Bottecchia & Pietro Lubello & Pietro Zambelli & Carlo Carcasci & Lukas Kranzl, 2021. "The Potential of Simulating Energy Systems: The Multi Energy Systems Simulator Model," Energies, MDPI, vol. 14(18), pages 1-27, September.
    20. Khaligh, Vahid & Ghezelbash, Azam & Liu, Jay & Won, Wangyun & Koo, Junmo & Na, Jonggeol, 2024. "Multi-period hydrogen supply chain planning for advancing hydrogen transition roadmaps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2080-:d:1043690. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.