Wind-assisted propulsion system for shipping decarbonization: Technologies, applications and challenges
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DOI: 10.1016/j.energy.2025.138420
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- Laryea, Harriet & Schiffauerova, Andrea, 2024. "A novel standalone hybrid renewable energy systems onboard conventional and autonomous tugboats," Energy, Elsevier, vol. 303(C).
- Ruan, Zhang & Huang, Lianzhong & Wang, Kai & Ma, Ranqi & Wang, Zhongyi & Zhang, Rui & Zhao, Haoyang & Wang, Cong, 2024. "A novel prediction method of fuel consumption for wing-diesel hybrid vessels based on feature construction," Energy, Elsevier, vol. 286(C).
- Guo, Yuhan & Wang, Yiyang & Chen, Yuhan & Wu, Lingxiao & Mao, Wengang, 2024. "Learning-based Pareto-optimum routing of ships incorporating uncertain meteorological and oceanographic forecasts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
- Marcin Kolodziejski & Mariusz Sosnowski, 2025. "Review of Wind-Assisted Propulsion Systems in Maritime Transport," Energies, MDPI, vol. 18(4), pages 1-33, February.
- Martinez, A. & Iglesias, G., 2022. "Mapping of the levelised cost of energy for floating offshore wind in the European Atlantic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
- Wu, Nianyuan & Zhang, Fang & Zhang, Fuzheng & Jiang, Chenxing & Lin, Jian & Xie, Shan & Jing, Rui & Zhao, Yingru, 2024. "An integrated multi-objective optimization, evaluation, and decision-making method for ship energy system," Applied Energy, Elsevier, vol. 373(C).
- Du, Wei & Li, Yanjun & Shi, Jianxin & Sun, Baozhi & Wang, Chunhui & Zhu, Baitong, 2023. "Applying an improved particle swarm optimization algorithm to ship energy saving," Energy, Elsevier, vol. 263(PE).
- Summerfield-Ryan, Oliver & Park, Susan, 2023. "The power of wind: The global wind energy industry's successes and failures," Ecological Economics, Elsevier, vol. 210(C).
- Ruan, Zhang & Huang, Lianzhong & Li, Daize & Ma, Ranqi & Wang, Kai & Zhang, Rui & Zhao, Haoyang & Wu, Jianyi & Li, Xiaowu, 2025. "A novel dual-stage grey-box stacking method for significantly improving the extrapolation performance of ship fuel consumption prediction models," Energy, Elsevier, vol. 318(C).
- Lan, Tian & Huang, Lianzhong & Ruan, Zhang & Cao, Jianlin & Ma, Ranqi & Wu, Jianyi & Li, Xiaowu & Chen, Li & Wang, Kai, 2025. "Multilevel parallel integration framework for enhancing energy efficiency of wing-assisted ships based on deep learning and intelligent algorithms: Towards a smarter and greener shipping," Applied Energy, Elsevier, vol. 394(C).
- Sun, Zhaoyang & Feng, Ao & Yu, Jiancheng & Zhao, Wentao & Huang, Yan, 2025. "Development of autonomous sailboat sails and future perspectives: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
- Wang, Kai & Hua, Yu & Huang, Lianzhong & Guo, Xin & Liu, Xing & Ma, Zhongmin & Ma, Ranqi & Jiang, Xiaoli, 2023. "A novel GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data," Energy, Elsevier, vol. 282(C).
- 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).
- I. Mallidis & S. Despoudi & R. Dekker & E. Iakovou & D. Vlachos, 2020. "The impact of sulphur limit fuel regulations on maritime supply chain network design," Annals of Operations Research, Springer, vol. 294(1), pages 677-695, November.
- Wang, Kai & Xue, Yu & Xu, Hao & Huang, Lianzhong & Ma, Ranqi & Zhang, Peng & Jiang, Xiaoli & Yuan, Yupeng & Negenborn, Rudy R. & Sun, Peiting, 2022. "Joint energy consumption optimization method for wing-diesel engine-powered hybrid ships towards a more energy-efficient shipping," Energy, Elsevier, vol. 245(C).
- Fabian Thies & Jonas W. Ringsberg, 2023. "Retrofitting WASP to a RoPax Vessel—Design, Performance and Uncertainties," Energies, MDPI, vol. 16(2), pages 1-13, January.
- Traut, Michael & Gilbert, Paul & Walsh, Conor & Bows, Alice & Filippone, Antonio & Stansby, Peter & Wood, Ruth, 2014. "Propulsive power contribution of a kite and a Flettner rotor on selected shipping routes," Applied Energy, Elsevier, vol. 113(C), pages 362-372.
- Moktadir, Md. Abdul & Ren, Jingzheng, 2024. "Towards green logistics: An innovative decision support model for zero-emission transportation modes development," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
- Liu, Hanyou & Fan, Ailong & Li, Yongping & Bucknall, Richard & Vladimir, Nikola, 2025. "Multi-objective hierarchical energy management strategy for fuel cell/battery hybrid power ships," Applied Energy, Elsevier, vol. 379(C).
- Yan, Ran & Yang, Dong & Wang, Tianyu & Mo, Haoyu & Wang, Shuaian, 2024. "Improving ship energy efficiency: Models, methods, and applications," Applied Energy, Elsevier, vol. 368(C).
- Yang, Yaru & Li, Hua & Yao, Jin & Gao, Wenxiang, 2019. "Research on the characteristic parameters and rotor layout principle of dual-rotor horizontal axis wind turbine," Energy, Elsevier, vol. 189(C).
- Kondratenko, Aleksander A. & Zhang, Mingyang & Tavakoli, Sasan & Altarriba, Elias & Hirdaris, Spyros, 2025. "Existing technologies and scientific advancements to decarbonize shipping by retrofitting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
- Willis, D.J. & Niezrecki, C. & Kuchma, D. & Hines, E. & Arwade, S.R. & Barthelmie, R.J. & DiPaola, M. & Drane, P.J. & Hansen, C.J. & Inalpolat, M. & Mack, J.H. & Myers, A.T. & Rotea, M., 2018. "Wind energy research: State-of-the-art and future research directions," Renewable Energy, Elsevier, vol. 125(C), pages 133-154.
- Cheng, Liangqi & Xu, Lerong & Bai, Xiwen, 2025. "Cargo selection, route planning, and speed optimization in tramp shipping under carbon intensity indicator (CII) regulations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
- Zhu, Jianyun & Chen, Li, 2023. "A probabilistic multi-objective design method of sail-photovoltaic-hybrid power system for an unmanned ocean surveillance trimaran," Applied Energy, Elsevier, vol. 350(C).
- 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).
- Todd Chou & Vasileios Kosmas & Michele Acciaro & Katharina Renken, 2021. "A Comeback of Wind Power in Shipping: An Economic and Operational Review on the Wind-Assisted Ship Propulsion Technology," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
- Wang, Kai & Liu, Xing & Guo, Xin & Wang, Jianhang & Wang, Zhuang & Huang, Lianzhong, 2024. "A novel high-precision and self-adaptive prediction method for ship energy consumption based on the multi-model fusion approach," Energy, Elsevier, vol. 310(C).
- Yongxu Jiang & Chenze Cao & Ting Cui & Hao Yang & Zhengjun Tian, 2024. "Numerical Study on Auxiliary Propulsion Performance of Foldable Three-Element Wingsail Utilizing Wind Energy," Energies, MDPI, vol. 17(15), pages 1-19, August.
- Chadee, Xsitaaz T. & Clarke, Ricardo M., 2014. "Large-scale wind energy potential of the Caribbean region using near-surface reanalysis data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 45-58.
- Wang, Kai & Li, Zhongwei & Zhang, Rui & Ma, Ranqi & Huang, Lianzhong & Wang, Zhuang & Jiang, Xiaoli, 2025. "Computational fluid dynamics-based ship energy-saving technologies: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
- Hoang, Anh Tuan & Pandey, Ashok & Martinez De Osés, Francisco Javier & Chen, Wei-Hsin & Said, Zafar & Ng, Kim Hoong & Ağbulut, Ümit & Tarełko, Wiesław & Ölçer, Aykut I. & Nguyen, Xuan Phuong, 2023. "Technological solutions for boosting hydrogen role in decarbonization strategies and net-zero goals of world shipping: Challenges and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
- Govindan, Kannan & Dua, Rubal & Mehbub Anwar, AHM & Bansal, Prateek, 2024. "Enabling net-zero shipping: An expert review-based agenda for emerging techno-economic and policy research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
- Wang, Zhuang & Chen, Li & Huang, Lianzhong & Wang, Kai & Ma, Ranqi & Wang, Bin, 2025. "A novel multivariable coupling optimization method of wind-assisted propulsion system for a large crude carrier," Energy, Elsevier, vol. 322(C).
- Yan, Ran & Wang, Shuaian & Psaraftis, Harilaos N., 2021. "Data analytics for fuel consumption management in maritime transportation: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
- Bechtle, Philip & Schelbergen, Mark & Schmehl, Roland & Zillmann, Udo & Watson, Simon, 2019. "Airborne wind energy resource analysis," Renewable Energy, Elsevier, vol. 141(C), pages 1103-1116.
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