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Evaluation of the CO 2 Emissions Reduction Potential of Li-ion Batteries in Ship Power Systems

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  • César O. Peralta P.

    (Laboratory of Advanced Electric Grids (LGrid), Escola Politécnica, University of São Paulo, São Paulo 05508-010, Brazil
    Current address: 1 Av. Prof. Luciano Gualberto, travessa 3 nº 158, Butantã, São Paulo-SP, CEP 05508-010, Brazil. 2 11 rue Joliot Curie, 91192 Gif-sur-Yvette, France. 3 Av. Prof. Mello Moraes, 2231, Butantã, São Paulo–SP, CEP 05508-030, Brasil.)

  • Giovani T. T. Vieira

    (Laboratory of Advanced Electric Grids (LGrid), Escola Politécnica, University of São Paulo, São Paulo 05508-010, Brazil
    Current address: 1 Av. Prof. Luciano Gualberto, travessa 3 nº 158, Butantã, São Paulo-SP, CEP 05508-010, Brazil. 2 11 rue Joliot Curie, 91192 Gif-sur-Yvette, France. 3 Av. Prof. Mello Moraes, 2231, Butantã, São Paulo–SP, CEP 05508-030, Brasil.)

  • Simon Meunier

    (GeePs|Group of Electrical Engineering—Paris, CNRS, CentraleSupélec, University of Paris-Sud, University of Paris-Saclay, Sorbonne University, 91192 Gif-sur-Yvette, France
    Current address: 1 Av. Prof. Luciano Gualberto, travessa 3 nº 158, Butantã, São Paulo-SP, CEP 05508-010, Brazil. 2 11 rue Joliot Curie, 91192 Gif-sur-Yvette, France. 3 Av. Prof. Mello Moraes, 2231, Butantã, São Paulo–SP, CEP 05508-030, Brasil.)

  • Rodrigo J. Vale

    (Laboratory of Advanced Electric Grids (LGrid), Escola Politécnica, University of São Paulo, São Paulo 05508-010, Brazil
    Current address: 1 Av. Prof. Luciano Gualberto, travessa 3 nº 158, Butantã, São Paulo-SP, CEP 05508-010, Brazil. 2 11 rue Joliot Curie, 91192 Gif-sur-Yvette, France. 3 Av. Prof. Mello Moraes, 2231, Butantã, São Paulo–SP, CEP 05508-030, Brasil.)

  • Mauricio B. C. Salles

    (Laboratory of Advanced Electric Grids (LGrid), Escola Politécnica, University of São Paulo, São Paulo 05508-010, Brazil
    Current address: 1 Av. Prof. Luciano Gualberto, travessa 3 nº 158, Butantã, São Paulo-SP, CEP 05508-010, Brazil. 2 11 rue Joliot Curie, 91192 Gif-sur-Yvette, France. 3 Av. Prof. Mello Moraes, 2231, Butantã, São Paulo–SP, CEP 05508-030, Brasil.)

  • Bruno S. Carmo

    (Department of Mechanical Engineering, Escola Politécnica, University of São Paulo, São Paulo 05508-030, Brazil
    Current address: 1 Av. Prof. Luciano Gualberto, travessa 3 nº 158, Butantã, São Paulo-SP, CEP 05508-010, Brazil. 2 11 rue Joliot Curie, 91192 Gif-sur-Yvette, France. 3 Av. Prof. Mello Moraes, 2231, Butantã, São Paulo–SP, CEP 05508-030, Brasil.)

Abstract

Greenhouse gas emissions are one of the most critical worldwide concerns, and multiple efforts are being proposed to reduce these emissions. Shipping represents around 2% of global CO 2 emissions. Since ship power systems have a high dependence on fossil fuels, hybrid systems using diesel generators and batteries are becoming an interesting solution to reduce CO 2 emissions. In this article, we analyze the potential implementation of Li-ion batteries in a platform supply vessel system through simulations using HOMER software (Hybrid Optimization Model for Multiple Energy Resources). We evaluate the impact of battery characteristics such as round trip efficiency, rated power, and energy capacity. We also evaluate the potential CO 2 emissions reduction that could be achieved with two of the most common types of Li-ion batteries (lithium titanate, lithium iron phosphate). Furthermore, we consider that the Li-ion batteries are installed in a 20 ft container. Results indicate that the lithium iron phosphate battery has a better performance, even though the difference between both technologies is lower than 1% of total emissions. We also analyze the potential emissions reduction for different parts of a mission to an offshore platform for different configurations of the ship power system. The most significant potential CO 2 emissions reduction among the analyzed cases is 8.7% of the total emissions, and it is achieved by the configuration including the main and auxiliary diesel engines as well as batteries. Finally, we present managerial implications of these results for both companies operating ships and ship building companies.

Suggested Citation

  • César O. Peralta P. & Giovani T. T. Vieira & Simon Meunier & Rodrigo J. Vale & Mauricio B. C. Salles & Bruno S. Carmo, 2019. "Evaluation of the CO 2 Emissions Reduction Potential of Li-ion Batteries in Ship Power Systems," Energies, MDPI, vol. 12(3), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:375-:d:200658
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    References listed on IDEAS

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    1. Springer, Urs, 2003. "The market for tradable GHG permits under the Kyoto Protocol: a survey of model studies," Energy Economics, Elsevier, vol. 25(5), pages 527-551, September.
    2. Zubi, Ghassan & Dufo-López, Rodolfo & Carvalho, Monica & Pasaoglu, Guzay, 2018. "The lithium-ion battery: State of the art and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 292-308.
    3. Böhringer, Christoph, 2003. "The Kyoto Protocol: A Review and Perspectives," ZEW Discussion Papers 03-61, ZEW - Leibniz Centre for European Economic Research.
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    Cited by:

    1. Giovani T. T. Vieira & Derick Furquim Pereira & Seyed Iman Taheri & Khalid S. Khan & Mauricio B. C. Salles & Josep M. Guerrero & Bruno S. Carmo, 2022. "Optimized Configuration of Diesel Engine-Fuel Cell-Battery Hybrid Power Systems in a Platform Supply Vessel to Reduce CO 2 Emissions," Energies, MDPI, vol. 15(6), pages 1-34, March.
    2. 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).
    3. Konur, Olgun & Yuksel, Onur & Aykut Korkmaz, S. & Ozgur Colpan, C. & Saatcioglu, Omur Y. & Koseoglu, Burak, 2023. "Operation-dependent exergetic sustainability assessment and environmental analysis on a large tanker ship utilizing Organic Rankine cycle system," Energy, Elsevier, vol. 262(PA).
    4. Chen, Xinqiang & Lv, Siying & Shang, Wen-long & Wu, Huafeng & Xian, Jiangfeng & Song, Chengcheng, 2024. "Ship energy consumption analysis and carbon emission exploitation via spatial-temporal maritime data," Applied Energy, Elsevier, vol. 360(C).

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