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Sizing of a combined series-parallel hybrid architecture for river ship application using genetic algorithm and optimal energy management

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  • Derollepot, Romain
  • Vinot, Emmanuel

Abstract

A good way to reduce the fuel consumption of a commercial river ship can be the hybridization of the system. Sizing the system related to its actual use and energy management is then a key-point. In this paper a global sizing method based on Genetic Algorithm and dynamic programming is proposed. It allows the sizing of a complex series-parallel architecture on uses cycles which are developed using measurements on real ship. The study shows potential reduction of fuel consumption around 10%, and proposes some leads to reduce the pollutant emissions.

Suggested Citation

  • Derollepot, Romain & Vinot, Emmanuel, 2019. "Sizing of a combined series-parallel hybrid architecture for river ship application using genetic algorithm and optimal energy management," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 248-263.
    • Handle: RePEc:eee:matcom:v:158:y:2019:i:c:p:248-263
    DOI: 10.1016/j.matcom.2018.09.012
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    References listed on IDEAS

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    1. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
    2. Song, Ziyou & Zhang, Xiaobin & Li, Jianqiu & Hofmann, Heath & Ouyang, Minggao & Du, Jiuyu, 2018. "Component sizing optimization of plug-in hybrid electric vehicles with the hybrid energy storage system," Energy, Elsevier, vol. 144(C), pages 393-403.
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    Cited by:

    1. Magdalena Kunicka & Wojciech Litwin, 2019. "Energy Demand of Short-Range Inland Ferry with Series Hybrid Propulsion Depending on the Navigation Strategy," Energies, MDPI, vol. 12(18), pages 1-13, September.
    2. 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).
    3. Sun, Xiaojun & Yao, Chong & Song, Enzhe & Liu, Zhijiang & Ke, Yun & Ding, Shunliang, 2023. "Novel enhancement of energy distribution for marine hybrid propulsion systems by an advanced variable weight decision model predictive control," Energy, Elsevier, vol. 274(C).

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