IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i17p4652-d1740229.html
   My bibliography  Save this article

Emission-Optimal Control and Retrofit Potential of a Series Hybrid Powertrain for Urban Waterbuses

Author

Listed:
  • Federico Miretti

    (Center for Automotive Research and Sustainable Mobility (CARS@Polito) and Department of Energy (DENERG), Politecnico di Torino, Corso duca degli Abruzzi 24, 10129 Torino, Italy)

  • Alberto Nicolotti

    (Center for Automotive Research and Sustainable Mobility (CARS@Polito) and Department of Energy (DENERG), Politecnico di Torino, Corso duca degli Abruzzi 24, 10129 Torino, Italy)

  • Daniela Anna Misul

    (Center for Automotive Research and Sustainable Mobility (CARS@Polito) and Department of Energy (DENERG), Politecnico di Torino, Corso duca degli Abruzzi 24, 10129 Torino, Italy)

  • Antonio Ferrari

    (ACTV SpA, Isola Nova del Tronchetto 32, 30135 Venezia, Italy)

Abstract

This study evaluates the environmental benefits of retrofitting conventional diesel-powered waterbuses in Venice with a series hybrid electric powertrain comprising three generator sets and dual electric propulsion motors. Using real-world operational profiles recorded during typical passenger service, a quasi-static simulation model was developed to assess energy and emission performance. Real-world speed and torque data were collected from a conventional waterbus during regular passenger service to accurately reflect real operational conditions, including driver behavior and the sea state. These profiles were used as inputs to a quasi-static simulation model to assess the hybrid system’s energy efficiency and emission performance. Dynamic programming was applied to derive emissions-optimal control strategies, targeting trade-offs between nitrogen oxides (NOx) and unburned hydrocarbons (HC). The results demonstrate emission reductions of up to 31% in NOx and 15% in HC, confirming the strong potential of hybridization for urban maritime transport. The paper also examines component-level behavior under optimal control and discusses practical considerations for implementing these strategies in real-time applications. These findings support the strategic value of hybrid retrofitting and fleet renewal for reducing the environmental footprint of passenger ferries and improving air quality in sensitive coastal urban environments.

Suggested Citation

  • Federico Miretti & Alberto Nicolotti & Daniela Anna Misul & Antonio Ferrari, 2025. "Emission-Optimal Control and Retrofit Potential of a Series Hybrid Powertrain for Urban Waterbuses," Energies, MDPI, vol. 18(17), pages 1-22, September.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4652-:d:1740229
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/17/4652/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/17/4652/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dedes, Eleftherios K. & Hudson, Dominic A. & Turnock, Stephen R., 2016. "Investigation of Diesel Hybrid systems for fuel oil reduction in slow speed ocean going ships," Energy, Elsevier, vol. 114(C), pages 444-456.
    2. Geertsma, R.D. & Negenborn, R.R. & Visser, K. & Hopman, J.J., 2017. "Design and control of hybrid power and propulsion systems for smart ships: A review of developments," Applied Energy, Elsevier, vol. 194(C), pages 30-54.
    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. Miretti, Federico & Misul, Daniela & Gennaro, Giulio & Ferrari, Antonio, 2022. "Hybridizing waterborne transport: Modeling and simulation of low-emissions hybrid waterbuses for the city of Venice," Energy, Elsevier, vol. 244(PB).
    2. 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).
    3. 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.
    4. Gojmir Radica & Tino Vidović & Jakov Šimunović & Zdeslav Jurić, 2025. "Overview of Hybrid Marine Energy System Configurations and System Component Modeling Approaches," Energies, MDPI, vol. 18(5), pages 1-24, February.
    5. Yongbing Xiang & Xiaomin Yang, 2021. "An ECMS for Multi-Objective Energy Management Strategy of Parallel Diesel Electric Hybrid Ship Based on Ant Colony Optimization Algorithm," Energies, MDPI, vol. 14(4), pages 1-21, February.
    6. Xing, Hui & Spence, Stephen & Chen, Hua, 2020. "A comprehensive review on countermeasures for CO2 emissions from ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    7. 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).
    8. Fan, Ailong & Wang, Junteng & He, Yapeng & Perčić, Maja & Vladimir, Nikola & Yang, Liu, 2021. "Decarbonising inland ship power system: Alternative solution and assessment method," Energy, Elsevier, vol. 226(C).
    9. Tang, Ruoli & Li, Xin & Lai, Jingang, 2018. "A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization," Applied Energy, Elsevier, vol. 228(C), pages 254-264.
    10. Daraz, Amil, 2023. "Optimized cascaded controller for frequency stabilization of marine microgrid system," Applied Energy, Elsevier, vol. 350(C).
    11. Ansari, Zafar Ayub & Raja, G. Lloyds, 2024. "Enhanced cascaded frequency controller optimized by flow direction algorithm for seaport hybrid microgrid powered by renewable energies," Applied Energy, Elsevier, vol. 374(C).
    12. Hou, Jun & Song, Ziyou & Park, Hyeongjun & Hofmann, Heath & Sun, Jing, 2018. "Implementation and evaluation of real-time model predictive control for load fluctuations mitigation in all-electric ship propulsion systems," Applied Energy, Elsevier, vol. 230(C), pages 62-77.
    13. Park, Chybyung & Jeong, Byongug & Zhou, Peilin, 2022. "Lifecycle energy solution of the electric propulsion ship with Live-Life cycle assessment for clean maritime economy," Applied Energy, Elsevier, vol. 328(C).
    14. 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.
    15. Hao Jin & Xinhang Yang, 2023. "Bilevel Optimal Sizing and Operation Method of Fuel Cell/Battery Hybrid All-Electric Shipboard Microgrid," Mathematics, MDPI, vol. 11(12), pages 1-16, June.
    16. Tien Anh Tran, 2023. "Study on proposed respectively method for marine propulsion plant system: a case study on passenger ship," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(6), pages 2395-2409, December.
    17. Jagdesh Kumar & Aushiq Ali Memon & Lauri Kumpulainen & Kimmo Kauhaniemi & Omid Palizban, 2019. "Design and Analysis of New Harbour Grid Models to Facilitate Multiple Scenarios of Battery Charging and Onshore Supply for Modern Vessels," Energies, MDPI, vol. 12(12), pages 1-18, June.
    18. Guoling Wang & Xu Liu & Zhenyu Li & Shunxiao Xu & Zhe Chen, 2018. "An Adaptive Grid Voltage/Frequency Tracking Method Based on SOGIs on a Shipboard PV–Diesel-Battery Hybrid Power System," Energies, MDPI, vol. 11(4), pages 1-20, March.
    19. Iqbal, Rashid & Liu, Yancheng & Zeng, Yuji & Zhang, Qinjin & Zeeshan, Muhammad, 2024. "Comparative study based on techno-economics analysis of different shipboard microgrid systems comprising PV/wind/fuel cell/battery/diesel generator with two battery technologies: A step toward green m," Renewable Energy, Elsevier, vol. 221(C).
    20. Yuan, Yupeng & Wang, Jixiang & Yan, Xinping & Shen, Boyang & Long, Teng, 2020. "A review of multi-energy hybrid power system for ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:17:p:4652-:d:1740229. 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.