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Model predictive control-based energy management strategy for ocean-going ship direct current microgrid considering waste heat utilization

Author

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  • Tan, Xianlin
  • Tuo, Xiaoyu
  • Huang, Guanhua
  • Ouyang, Tiancheng

Abstract

The traditional ship energy systems face challenges such as poor system stability and difficulty in coordinating multiple energy devices. To address these issues, an innovative ship direct current (DC) microgrid system by integrating waste heat recovery and hybrid energy storage system (HESS) is proposed. First, dynamic models of key subsystems (diesel generator, lithium battery, supercapacitor, and organic Rankine cycle (ORC)) are established, and their accuracy is verified. Subsequently, the dynamic response characteristics of ORC's key parameters under step changes in exhaust gas characteristics and superheat degree are explored. Finally, a hierarchical energy management strategy (EMS) incorporating a first-order low-pass filter, model predictive control, and proportional integral controller is proposed, and its effectiveness and superiority in stabilizing microgrid operation under complex operating conditions are verified. The findings reveal that, after integrating the ORC and HESS, the diesel generator can reduce power output, fuel consumption, and CO2 emissions by 6.06 × 106 kW, 1741.05 kL, and 5144.94 t, respectively, over the course of one year, which makes the ship's fuel consumption reduced by 6.47 %. Additionally, compared to the traditional PI control strategy, the proposed EMS demonstrates significant advantages in suppressing bus voltage fluctuations, with a maximum fluctuation and tracking error of 7.89 V and 1.05 %.

Suggested Citation

  • Tan, Xianlin & Tuo, Xiaoyu & Huang, Guanhua & Ouyang, Tiancheng, 2026. "Model predictive control-based energy management strategy for ocean-going ship direct current microgrid considering waste heat utilization," Applied Energy, Elsevier, vol. 402(PB).
    • Handle: RePEc:eee:appene:v:402:y:2026:i:pb:s030626192501774x
    DOI: 10.1016/j.apenergy.2025.127044
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    References listed on IDEAS

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    1. Xie, Peilin & Tan, Sen & Bazmohammadi, Najmeh & Guerrero, Josep. M. & Vasquez, Juan. C. & Alcala, Jose Matas & Carreño, Jorge El Mariachet, 2022. "A distributed real-time power management scheme for shipboard zonal multi-microgrid system," Applied Energy, Elsevier, vol. 317(C).
    2. Ouyang, Tiancheng & Qin, Peijia & Tuo, Xiaoyu & Zhou, Hao & Xie, Xinjing & Fan, Yi, 2025. "Low-carbon economic scheduling of large ship power system based on multi-energy cooperative utilization," Energy, Elsevier, vol. 314(C).
    3. Liu, Weirong & Yao, Pengfei & Wu, Yue & Duan, Lijun & Li, Heng & Peng, Jun, 2025. "Imitation reinforcement learning energy management for electric vehicles with hybrid energy storage system," Applied Energy, Elsevier, vol. 378(PA).
    4. Yim, Jaeyun & You, Sesun & Blaabjerg, Frede & Lee, Youngwoo & Gui, Yonghao & Kim, Wonhee, 2024. "Energy management systems for forecasted demand error compensation using hybrid energy storage system in nanogrid," Renewable Energy, Elsevier, vol. 221(C).
    5. Nivolianiti, Evaggelia & Karnavas, Yannis L. & Charpentier, Jean-Frederic, 2024. "Energy management of shipboard microgrids integrating energy storage systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    6. He, Tianbiao & Ma, Jie & Mao, Ning & Qi, Meng & Jin, Tao, 2024. "Exploring the stability and dynamic responses of dual-stage series ORC using LNG cold energy for sustainable power generation," Applied Energy, Elsevier, vol. 372(C).
    7. Xie, Shutao & Qin, Peijia & Zhang, Mingliang & Xu, Jisong & Ouyang, Tiancheng, 2022. "A high-efficiency and eco-friendly design for coal-fired power plants: Combined waste heat recovery and electron beam irradiation," Energy, Elsevier, vol. 258(C).
    8. Acanfora, Maria & Balsamo, Flavio & Fantauzzi, Maurizio & Lauria, Davide & Proto, Daniela, 2023. "Design of an electrical energy storage system for hybrid diesel electric ship propulsion aimed at load levelling in irregular wave conditions," Applied Energy, Elsevier, vol. 350(C).
    9. Yang, Liu & Su, Zixiang, 2022. "An eco-friendly and efficient trigeneration system for dual-fuel marine engine considering heat storage and energy deployment," Energy, Elsevier, vol. 239(PA).
    10. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Zhang, Wujie & Wang, Yan & Yao, Baofeng, 2023. "Dynamic response assessment and multi-objective optimization of organic Rankine cycle (ORC) under vehicle driving cycle conditions," Energy, Elsevier, vol. 263(PA).
    11. Mondejar, Maria E. & Ahlgren, Fredrik & Thern, Marcus & Genrup, Magnus, 2017. "Quasi-steady state simulation of an organic Rankine cycle for waste heat recovery in a passenger vessel," Applied Energy, Elsevier, vol. 185(P2), pages 1324-1335.
    12. Xiao, Meng & Zhou, Yuhao & Miao, Zheng & Yan, Peiwei & Zhang, Manzheng & Xu, Jinliang, 2024. "Multi-condition operating characteristics and optimization of a small-scale ORC system," Energy, Elsevier, vol. 290(C).
    13. Chen, Hui & Zhang, Zehui & Guan, Cong & Gao, Haibo, 2020. "Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship," Energy, Elsevier, vol. 197(C).
    14. Dal Magro, Fabio & Jimenez-Arreola, Manuel & Romagnoli, Alessandro, 2017. "Improving energy recovery efficiency by retrofitting a PCM-based technology to an ORC system operating under thermal power fluctuations," Applied Energy, Elsevier, vol. 208(C), pages 972-985.
    15. Xu, Meng & Zhang, Zhuqian & Wang, Xia & Jia, Li & Yang, Lixin, 2015. "A pseudo three-dimensional electrochemical–thermal model of a prismatic LiFePO4 battery during discharge process," Energy, Elsevier, vol. 80(C), pages 303-317.
    16. Dedes, Eleftherios K. & Hudson, Dominic A. & Turnock, Stephen R., 2012. "Assessing the potential of hybrid energy technology to reduce exhaust emissions from global shipping," Energy Policy, Elsevier, vol. 40(C), pages 204-218.
    17. Nuchturee, Chalermkiat & Li, Tie & Xia, Hongpu, 2020. "Energy efficiency of integrated electric propulsion for ships – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    18. Ouyang, Tiancheng & Tan, Xianlin & Tuo, Xiaoyu & Qin, Peijia & Mo, Chunlan, 2024. "Performance analysis and multi-objective optimization of a novel CCHP system integrated energy storage in large seagoing vessel," Renewable Energy, Elsevier, vol. 224(C).
    19. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2017. "A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems," Applied Energy, Elsevier, vol. 205(C), pages 187-209.
    20. Ouyang, Tiancheng & Pan, Mingming & Tan, Xianlin & Li, Lulu & Huang, Youbin & Mo, Chunlan, 2024. "Power prediction and packed bed heat storage control for marine diesel engine waste heat recovery," Applied Energy, Elsevier, vol. 357(C).
    21. Inal, Omer Berkehan & Charpentier, Jean-Frédéric & Deniz, Cengiz, 2022. "Hybrid power and propulsion systems for ships: Current status and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    22. Ahmed, Afaq & Ahmad, Iftikhar, 2024. "Unit prediction horizon H∞ based model predictive control for the fuel cell based plug-in hybrid electric vehicle with rule-based energy management system," Energy, Elsevier, vol. 312(C).
    23. 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.
    24. Udeh, Godfrey T. & Michailos, Stavros & Ingham, Derek & Hughes, Kevin J. & Ma, Lin & Pourkashanian, Mohamed, 2022. "A modified rule-based energy management scheme for optimal operation of a hybrid PV-wind-Stirling engine integrated multi-carrier energy system," Applied Energy, Elsevier, vol. 312(C).
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