IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05483331.html

Techno-economic and environmental evaluation of on-site solar hydrogen systems for decarbonizing port in Corsica

Author

Listed:
  • Mohamed Hajjaji

    (SPE - Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli], UTM - Tunis El Manar University [University of Tunis El Manar] [Tunisia] = Université de Tunis El Manar [Tunisie] = جامعة تونس المنار (ar))

  • Maude Chin Choi

    (SPE - Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli])

  • Tchougoune Moustapha Mai

    (SPE - Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli])

  • Christian Cristofari

    (SPE - Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli])

  • Dhafer Mezghani

    (UTM - Tunis El Manar University [University of Tunis El Manar] [Tunisia] = Université de Tunis El Manar [Tunisie] = جامعة تونس المنار (ar))

  • Abdelkader Mami

    (UTM - Tunis El Manar University [University of Tunis El Manar] [Tunisia] = Université de Tunis El Manar [Tunisie] = جامعة تونس المنار (ar))

Abstract

As part of the energy transition and efforts to develop green ports, green hydrogen emerges as a promising and environmentally sound solution for achieving carbon neutrality. This study investigates the potential of green hydrogen to decarbonize the Port of Ajaccio through a power-to-power strategy. A detailed electricity consumption profile was constructed based on data from docked vessels and two adjacent buildings. A multi-objective optimization model was employed to determine the optimal configuration of a hybrid energy system. The optimal system includes 12 MW of photovoltaic panels, a 5 MW electrolyzer, a 3 MW fuel cell, and 320 kg of hydrogen storage under water at 35 bar. This configuration enables a significant reduction in pollutant emissions: carbon dioxide (CO₂) by 80.02%, nitrogen oxides (NOₓ) by 84.27%, particulate matter (PM) by 84.27%, and sulfur dioxide (SO₂) by 84.26%. The resulting levelized cost of electricity (LCOE) is estimated at 298 €/MWh, making it a competitive alternative to conventional fossil-fuel-based generation. Furthermore, the study highlights the advantages of underwater hydrogen storage, demonstrating that greater storage depths lead to increased hydrogen density, reduced storage volume requirements, and minimized visual impact an essential aspect for enhancing public acceptance.

Suggested Citation

  • Mohamed Hajjaji & Maude Chin Choi & Tchougoune Moustapha Mai & Christian Cristofari & Dhafer Mezghani & Abdelkader Mami, 2025. "Techno-economic and environmental evaluation of on-site solar hydrogen systems for decarbonizing port in Corsica," Post-Print hal-05483331, HAL.
  • Handle: RePEc:hal:journl:hal-05483331
    DOI: 10.1016/j.ijhydene.2025.05.035
    Note: View the original document on HAL open archive server: https://hal.science/hal-05483331v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05483331v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.ijhydene.2025.05.035?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pagnini, Luisa & Bracco, Stefano & Delfino, Federico & de-Simón-Martín, Miguel, 2024. "Levelized cost of electricity in renewable energy communities: Uncertainty propagation analysis," Applied Energy, Elsevier, vol. 366(C).
    2. Thalis Zis & Robin Jacob North & Panagiotis Angeloudis & Washington Yotto Ochieng & Michael Geoffrey Harrison Bell, 2014. "Evaluation of cold ironing and speed reduction policies to reduce ship emissions near and at ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(4), pages 371-398, December.
    3. Xiaofang Wu & Zhi Huang, 2024. "Estimating the costs and external benefits of reducing shipping-induced air pollution: a case study of Xiamen Harbour, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28785-28808, November.
    4. Zhengxin He & Jasmine Siu Lee Lam & Maohan Liang, 2023. "Impact of Disruption on Ship Emissions in Port: Case of Pandemic in Long Beach," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    5. Ayyarao, Tummala.S.L.V. & Polumahanthi, Nishanth & Khan, Baseem, 2024. "An accurate parameter estimation of PEM fuel cell using war strategy optimization," Energy, Elsevier, vol. 290(C).
    Full references (including those not matched with items on IDEAS)

    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. Thalis P. V. Zis & Harilaos N. Psaraftis, 2022. "Impacts of short-term measures to decarbonize maritime transport on perishable cargoes," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 602-629, September.
    2. Wang, Jinggai & Li, Huanhuan & Yang, Zaili & Ge, Ying-En, 2024. "Shore power for reduction of shipping emission in port: A bibliometric analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    3. Nanxi Wang & Daofang Chang & Xiaowei Shi & Jun Yuan & Yinping Gao, 2019. "Analysis and Design of Typical Automated Container Terminals Layout Considering Carbon Emissions," Sustainability, MDPI, vol. 11(10), pages 1-40, May.
    4. Tang, Ruoli & Li, Xin & Lai, Jingang, 2018. "A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization," Applied Energy, Elsevier, vol. 228(C), pages 254-264.
    5. Anastasia Christodoulou & Kevin Cullinane, 0. "Potential for, and drivers of, private voluntary initiatives for the decarbonisation of short sea shipping: evidence from a Swedish ferry line," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 0, pages 1-23.
    6. Tian, Weiyong & Zhang, Xiaohui & Zhou, Peng & Guo, Ruixue, 2025. "Review of energy management technologies for unmanned aerial vehicles powered by hydrogen fuel cell," Energy, Elsevier, vol. 323(C).
    7. kanouni, Badreddine & Laib, Abdelbaset & Necaibia, Salah & Krama, Abdelbasset & Guerrero, Josep M., 2025. "Pied kingfisher optimizer for accurate parameter extraction in proton exchange membrane fuel cell," Energy, Elsevier, vol. 325(C).
    8. Anastasia Christodoulou & Kevin Cullinane, 2021. "Potential for, and drivers of, private voluntary initiatives for the decarbonisation of short sea shipping: evidence from a Swedish ferry line," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(4), pages 632-654, December.
    9. Merkel, Axel & Nyberg, Erik & Ek, Karin & Sjöstrand, Henrik, 2023. "Economics of shore power under different access pricing," Research in Transportation Economics, Elsevier, vol. 101(C).
    10. Tang, Zhaopei & Wang, Liehui, 2025. "Shipping decarbonization and public emergencies: How does COVID-19 impact container shipping carbon emissions?," Journal of Transport Geography, Elsevier, vol. 123(C).
    11. Zis, Thalis P.V., 2019. "Prospects of cold ironing as an emissions reduction option," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 82-95.
    12. Sofia Agostinelli & Fabrizio Cumo & Meysam Majidi Nezhad & Giuseppe Orsini & Giuseppe Piras, 2022. "Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy," Energies, MDPI, vol. 15(5), pages 1-24, March.
    13. Nguyen, Phong Nha & Kim, Hwayoung, 2024. "Analysis of effectiveness for cargo operation productivity considering environmental efficiency on container ports in the Northeast Asian region," Transport Policy, Elsevier, vol. 157(C), pages 111-123.
    14. Stela Basso Montoro & David Ferreira Lopes Santos & Jorge De Lucas Junior, 2025. "Exploring New Alternative Energy for Sustainable Food Production," Circular Economy and Sustainability, Springer, vol. 5(3), pages 1923-1947, June.
    15. Davide Borelli & Francesco Devia & Corrado Schenone & Federico Silenzi & Luca A. Tagliafico, 2021. "Dynamic Modelling of LNG Powered Combined Energy Systems in Port Areas," Energies, MDPI, vol. 14(12), pages 1-18, June.
    16. Huang, Ruike & Zhang, Xuexia & Dong, Sidi & Huang, Lei & Liao, Hongbo & Li, Yuan, 2024. "A refined grey Verhulst model for accurate degradation prognostication of PEM fuel cells based on inverse hyperbolic sine function transformation," Renewable Energy, Elsevier, vol. 237(PC).
    17. Su, Chi-Wei & Wu, Ying & Qin, Meng, 2025. "Preserving energy security: Can renewable energy withstand the energy-related uncertainty risk?," Energy, Elsevier, vol. 320(C).
    18. Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2021. "Vessel scheduling in liner shipping: a critical literature review and future research needs," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 43-106, March.
    19. Tang, Ruoli & Wu, Zhou & Li, Xin, 2018. "Optimal operation of photovoltaic/battery/diesel/cold-ironing hybrid energy system for maritime application," Energy, Elsevier, vol. 162(C), pages 697-714.
    20. Rathod, Asmita Ajay & Sharma, Pankaj & Choudhary, Arun & Raju, Saravanakumar & Subramanian, Balaji, 2025. "An efficient framework for proton exchange membrane fuel cell parameter estimation using numerous MH algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 216(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hal:journl:hal-05483331. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.