IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v282y2023ics0360544223017176.html
   My bibliography  Save this article

Are battery-powered vessels the best solution for the domestic ferry segment? Case study for the domestic ferry segment in the Philippines

Author

Listed:
  • Vakili, Seyedvahid
  • Ölçer, Aykut I.

Abstract

The Philippines is aiming to significantly reduce its carbon footprint by 75% by 2030 as part of its Nationally Determined Contribution. One way the country is focusing on achieving this goal is by making its domestic ferries emit zero emissions. To this end, the use of electrified and battery-powered vessels is being explored, especially for short sea shipping. A life cycle analysis of diesel-powered ships and battery-powered ships for five different energy sources for electricity generation was carried out using the GABI 2020 software. The results showed that the environmental friendliness of a vessel depends on the primary source of electricity generation. While electrified ships can be environmentally friendly, they are not necessarily better than diesel-powered ships, particularly if the source of electricity is coal or heavy fuel oil. Based on the data obtained from the Philippines, transitioning to battery-powered ships necessitates the expansion of the national grid and the utilization of natural gas as an interim solution, while focusing on renewable energy sources for the medium and long term. Sustainable infrastructures such as shore power and smart grids in ports are crucial during this transition. To expedite the process, implementing effective policies like pay-for-pollution principles and providing incentives such as carbon levies, low-risk loans, and state contributions are essential.

Suggested Citation

  • Vakili, Seyedvahid & Ölçer, Aykut I., 2023. "Are battery-powered vessels the best solution for the domestic ferry segment? Case study for the domestic ferry segment in the Philippines," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223017176
    DOI: 10.1016/j.energy.2023.128323
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223017176
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.128323?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yang, Lin & Cai, Yishan & Yang, Yixin & Deng, Zhongwei, 2020. "Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles," Applied Energy, Elsevier, vol. 257(C).
    2. Casper Boongaling Agaton, 2022. "Will a Geopolitical Conflict Accelerate Energy Transition in Oil-Importing Countries? A Case Study of the Philippines from a Real Options Perspective," Resources, MDPI, vol. 11(6), pages 1-17, June.
    3. Arash Farnoosh, 2022. "Power Generation from Coal, Oil, Gas, and Biofuels," Springer Books, in: Manfred Hafner & Giacomo Luciani (ed.), The Palgrave Handbook of International Energy Economics, chapter 0, pages 111-130, Springer.
    4. Seyedvahid Vakili & Fabio Ballini & Alessandro Schönborn & Anastasia Christodoulou & Dimitrios Dalaklis & Aykut I. Ölçer, 2023. "Assessing the macroeconomic and social impacts of slow steaming in shipping: a literature review on small island developing states and least developed countries," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-25, December.
    5. Haiyun, Cui & Zhixiong, Huang & Yüksel, Serhat & Dinçer, Hasan, 2021. "Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    6. Jeong, Byongug & Oguz, Elif & Wang, Haibin & Zhou, Peilin, 2018. "Multi-criteria decision-making for marine propulsion: Hybrid, diesel electric and diesel mechanical systems from cost-environment-risk perspectives," Applied Energy, Elsevier, vol. 230(C), pages 1065-1081.
    7. Ling-Chin, Janie & Roskilly, Anthony P., 2016. "Investigating the implications of a new-build hybrid power system for Roll-on/Roll-off cargo ships from a sustainability perspective – A life cycle assessment case study," Applied Energy, Elsevier, vol. 181(C), pages 416-434.
    8. Perčić, Maja & Frković, Lovro & Pukšec, Tomislav & Ćosić, Boris & Li, Oi Lun & Vladimir, Nikola, 2022. "Life-cycle assessment and life-cycle cost assessment of power batteries for all-electric vessels for short-sea navigation," Energy, Elsevier, vol. 251(C).
    9. Seyedvahid Vakili & Alessandro Schönborn & Aykut I. Ölçer, 2022. "Application of the transdisciplinary shipyard energy management framework by employing a fuzzy multiple attribute group decision making technique toward a sustainable shipyard: case study for a Bangla," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-28, December.
    10. Vidoza, Jorge A. & Gallo, Waldyr L.R., 2016. "Projection of fossil fuels consumption in the Venezuelan electricity generation industry," Energy, Elsevier, vol. 104(C), pages 237-249.
    11. de Witt, Magnus & Stefánsson, Hlynur & Valfells, Ágúst & Larsen, Joan Nymand, 2021. "Energy resources and electricity generation in Arctic areas," Renewable Energy, Elsevier, vol. 169(C), pages 144-156.
    12. Perčić, Maja & Ančić, Ivica & Vladimir, Nikola, 2020. "Life-cycle cost assessments of different power system configurations to reduce the carbon footprint in the Croatian short-sea shipping sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(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. Maja Perčić & Nikola Vladimir & Marija Koričan, 2021. "Electrification of Inland Waterway Ships Considering Power System Lifetime Emissions and Costs," Energies, MDPI, vol. 14(21), pages 1-25, October.
    2. Ahmed, Shoaib & Li, Tie & Yi, Ping & Chen, Run, 2023. "Environmental impact assessment of green ammonia-powered very large tanker ship for decarbonized future shipping operations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    3. Frković, Lovro & Ćosić, Boris & Pukšec, Tomislav & Vladimir, Nikola, 2022. "The synergy between the photovoltaic power systems and battery-powered electric ferries in the isolated energy system of an island," Energy, Elsevier, vol. 259(C).
    4. Michail Serris & Paraskevi Petrou & Isidoros Iakovidis & Sotiria Dimitrellou, 2023. "Techno-Economic and Environmental Evaluation of a Solar Energy System on a Ro-Ro Vessel for Sustainability," Energies, MDPI, vol. 16(18), pages 1-20, September.
    5. Sun, Xiaojun & Yao, Chong & Song, Enzhe & Yang, Qidong & Yang, Xuchang, 2022. "Optimal control of transient processes in marine hybrid propulsion systems: Modeling, optimization and performance enhancement," Applied Energy, Elsevier, vol. 321(C).
    6. Qi, Kaijian & Zhang, Weigang & Zhou, Wei & Cheng, Jifu, 2022. "Integrated battery power capability prediction and driving torque regulation for electric vehicles: A reduced order MPC approach," Applied Energy, Elsevier, vol. 317(C).
    7. Li, Qingyang & Wang, Guosong & Wu, Xinrong & Gao, Zhigang & Dan, Bo, 2024. "Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN," Energy, Elsevier, vol. 299(C).
    8. Yang, Yixin, 2021. "A machine-learning prediction method of lithium-ion battery life based on charge process for different applications," Applied Energy, Elsevier, vol. 292(C).
    9. Luis Rivera-González & David Bolonio & Luis F. Mazadiego & Robert Valencia-Chapi, 2019. "Long-Term Electricity Supply and Demand Forecast (2018–2040): A LEAP Model Application towards a Sustainable Power Generation System in Ecuador," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    10. Bolbot, Victor & Trivyza, Nikoletta L. & Theotokatos, Gerasimos & Boulougouris, Evangelos & Rentizelas, Athanasios & Vassalos, Dracos, 2020. "Cruise ships power plant optimisation and comparative analysis," Energy, Elsevier, vol. 196(C).
    11. Perčić, Maja & Vladimir, Nikola & Fan, Ailong, 2021. "Techno-economic assessment of alternative marine fuels for inland shipping in Croatia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    12. Bagherabadi, Kamyar Maleki & Skjong, Stian & Bruinsma, Jogchum & Pedersen, Eilif, 2023. "Investigation of hybrid power plant configurations for an offshore vessel with co-simulation approach," Applied Energy, Elsevier, vol. 343(C).
    13. Riccardo Risso & Lucia Cardona & Maurizio Archetti & Filippo Lossani & Barbara Bosio & Dario Bove, 2023. "A Review of On-Board Carbon Capture and Storage Techniques: Solutions to the 2030 IMO Regulations," Energies, MDPI, vol. 16(18), pages 1-25, September.
    14. Christopher Rickert & Anurag Mohanan Thevar Parambil & Mareike Leimeister, 2022. "Conceptual Study and Development of an Autonomously Operating, Sailing Renewable Energy Conversion System," Energies, MDPI, vol. 15(12), pages 1-31, June.
    15. Yifan Wang & Laurence A. Wright, 2021. "A Comparative Review of Alternative Fuels for the Maritime Sector: Economic, Technology, and Policy Challenges for Clean Energy Implementation," World, MDPI, vol. 2(4), pages 1-26, October.
    16. Son-Tung Le & Trung-Hieu Nguyen, 2023. "The Development of Green Ports in Emerging Nations: A Case Study of Vietnam," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    17. Magnus de Witt & Hlynur Stefánsson & Ágúst Valfells & Joan Nymand Larsen, 2021. "Availability and Feasibility of Renewable Resources for Electricity Generation in the Arctic: The Cases of Longyearbyen, Maniitsoq, and Kotzebue," Sustainability, MDPI, vol. 13(16), pages 1-20, August.
    18. Trivyza, Nikoletta L. & Rentizelas, Athanasios & Theotokatos, Gerasimos & Boulougouris, Evangelos, 2022. "Decision support methods for sustainable ship energy systems: A state-of-the-art review," Energy, Elsevier, vol. 239(PC).
    19. Perčić, Maja & Frković, Lovro & Pukšec, Tomislav & Ćosić, Boris & Li, Oi Lun & Vladimir, Nikola, 2022. "Life-cycle assessment and life-cycle cost assessment of power batteries for all-electric vessels for short-sea navigation," Energy, Elsevier, vol. 251(C).
    20. Li, Shuangqi & He, Hongwen & Zhao, Pengfei & Cheng, Shuang, 2022. "Health-Conscious vehicle battery state estimation based on deep transfer learning," Applied Energy, Elsevier, vol. 316(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:eee:energy:v:282:y:2023:i:c:s0360544223017176. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.