IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i16p4920-d612593.html
   My bibliography  Save this article

Including Heat Balance When Designing the Energy System of Fuel Cell-Powered AUVs

Author

Listed:
  • Ariel Chiche

    (Applied Electrochemistry, School of Engineering Sciences in Chemistry, Biology and Health, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Göran Lindbergh

    (Applied Electrochemistry, School of Engineering Sciences in Chemistry, Biology and Health, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Ivan Stenius

    (Naval Architecture, School of Engineering Sciences, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Carina Lagergren

    (Applied Electrochemistry, School of Engineering Sciences in Chemistry, Biology and Health, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden)

Abstract

Fuel cell-powered Autonomous Underwater Vehicles (AUVs) represent a growing area of research as fuel cells can increase their endurance. Fuel cells consume hydrogen and oxygen to generate electricity. Typically, the fuel cell generates as much heat as electrical energy, and heat management becomes a crucial parameter when designing AUVs. For underwater applications, there is a need to store both gases and several types of storage units with different characteristics exist which have impacts on the energy density and heat behavior. This study aims at including the heat properties of the storage units in the design process of fuel cell-powered AUVs. A heat balance over the energy system of an AUV is calculated for each combination of hydrogen and oxygen storage units. In addition, a multi-criteria decision-making analysis is conducted, considering the calculated total heat, the specific energy, the energy density and the volumetric mass of each combination of storage units as criteria, enabling a comparison and ranking them using two objective criteria weighting methods. Results show that the fuel cell is the major contributor to the heat balance, and that the combinations of liquid oxygen with liquid or compressed hydrogen can be relevant and suitable for underwater applications.

Suggested Citation

  • Ariel Chiche & Göran Lindbergh & Ivan Stenius & Carina Lagergren, 2021. "Including Heat Balance When Designing the Energy System of Fuel Cell-Powered AUVs," Energies, MDPI, vol. 14(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4920-:d:612593
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/16/4920/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/16/4920/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alejandro Mendez & Teresa J. Leo & Miguel A. Herreros, 2014. "Current State of Technology of Fuel Cell Power Systems for Autonomous Underwater Vehicles," Energies, MDPI, vol. 7(7), pages 1-18, July.
    2. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    3. Niaz, Saba & Manzoor, Taniya & Pandith, Altaf Hussain, 2015. "Hydrogen storage: Materials, methods and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 457-469.
    4. Greening, Lorna A. & Bernow, Steve, 2004. "Design of coordinated energy and environmental policies: use of multi-criteria decision-making," Energy Policy, Elsevier, vol. 32(6), pages 721-735, April.
    5. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    6. d’Amore-Domenech, Rafael & Santiago, Óscar & Leo, Teresa J., 2020. "Multicriteria analysis of seawater electrolysis technologies for green hydrogen production at sea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(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. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    2. Manley, Dawn K. & Hines, Valerie A. & Jordan, Matthew W. & Stoltz, Ronald E., 2013. "A survey of energy policy priorities in the United States: Energy supply security, economics, and the environment," Energy Policy, Elsevier, vol. 60(C), pages 687-696.
    3. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    4. Leanda C. Garvie & David J. Lee & Biljana Kulišić, 2024. "Towards a Bioeconomy: Supplying Forest Residues for the Australian Market," Energies, MDPI, vol. 17(2), pages 1-19, January.
    5. Karatas, Mumtaz & Sulukan, Egemen & Karacan, Ilknur, 2018. "Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology," Energy, Elsevier, vol. 153(C), pages 890-912.
    6. José Carlos Romero & Pedro Linares, 2021. "Multiple Criteria Decision-Making as an Operational Conceptualization of Energy Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    7. Patlitzianas, Konstantinos D. & Psarras, John, 2007. "Formulating a modern energy companies' environment in the EU accession member states through a decision support methodology," Energy Policy, Elsevier, vol. 35(4), pages 2231-2238, April.
    8. Wulf, David & Bertsch, Valentin, 2016. "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making," MPRA Paper 75025, University Library of Munich, Germany.
    9. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    10. Abbasi, H.N. & Zeeshan, Muhammad, 2023. "An integrated Geographic Information System and Analytical Hierarchy process based approach for site suitability analysis of on-grid hybrid concentrated solar-biomass powerplant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    11. Doukas, Haris, 2013. "Modelling of linguistic variables in multicriteria energy policy support," European Journal of Operational Research, Elsevier, vol. 227(2), pages 227-238.
    12. Oner, Oytun & Khalilpour, Kaveh, 2022. "Evaluation of green hydrogen carriers: A multi-criteria decision analysis tool," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    13. Supriyasilp, Thanaporn & Pongput, Kobkiat & Boonyasirikul, Thana, 2009. "Hydropower development priority using MCDM method," Energy Policy, Elsevier, vol. 37(5), pages 1866-1875, May.
    14. Indre Siksnelyte & Edmundas Kazimieras Zavadskas & Dalia Streimikiene & Deepak Sharma, 2018. "An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues," Energies, MDPI, vol. 11(10), pages 1-21, October.
    15. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    16. Ball, Christopher Stephen & Vögele, Stefan & Grajewski, Matthias & Kuckshinrichs, Wilhelm, 2021. "E-mobility from a multi-actor point of view: Uncertainties and their impacts," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    17. Aloini, Davide & Dulmin, Riccardo & Mininno, Valeria & Pellegrini, Luisa & Farina, Giulia, 2018. "Technology assessment with IF-TOPSIS: An application in the advanced underwater system sector," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 38-48.
    18. Jayaraman, Raja & Colapinto, Cinzia & Torre, Davide La & Malik, Tufail, 2015. "Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates," Energy Policy, Elsevier, vol. 87(C), pages 447-454.
    19. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    20. Mourmouris, J.C. & Potolias, C., 2013. "A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece," Energy Policy, Elsevier, vol. 52(C), pages 522-530.

    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:jeners:v:14:y:2021:i:16:p:4920-:d:612593. 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.