Economic, environmental and grid-resilience benefits of converting diesel trains to battery-electric
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DOI: 10.1038/s41560-021-00915-5
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- Kumar, Gokula Manikandan Senthil & Cao, Sunliang, 2023. "Leveraging energy flexibilities for enhancing the cost-effectiveness and grid-responsiveness of net-zero-energy metro railway and station systems," Applied Energy, Elsevier, vol. 333(C).
- Breschi, Valentina & Ravazzi, Chiara & Strada, Silvia & Dabbene, Fabrizio & Tanelli, Mara, 2023. "Driving electric vehicles’ mass adoption: An architecture for the design of human-centric policies to meet climate and societal goals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
- Ahsan, Nabeel & Hewage, Kasun & Razi, Faran & Hussain, Syed Asad & Sadiq, Rehan, 2023. "A critical review of sustainable rail technologies based on environmental, economic, social, and technical perspectives to achieve net zero emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
- Jessica Kersey & Natalie D. Popovich & Amol A. Phadke, 2022. "Rapid battery cost declines accelerate the prospects of all-electric interregional container shipping," Nature Energy, Nature, vol. 7(7), pages 664-674, July.
- John P. Barton & Murray Thomson, 2021. "Solar Power and Energy Storage for Decarbonization of Land Transport in India," Energies, MDPI, vol. 14(24), pages 1-24, December.
- Ng, Max T.M. & Hernandez, Adrian & Durango-Cohen, Pablo L. & Mahmassani, Hani S., 2024. "Trading off energy storage and payload – An analytical model for freight train configuration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
- Hernandez, Adrian & Ng, Max & Durango-Cohen, Pablo L. & Mahmassani, Hani S., 2024. "Optimizing service networks to support freight rail decarbonization: Flow selection, facility location, and energy sourcing," European Journal of Operational Research, Elsevier, vol. 317(3), pages 906-920.
- He, Hongwen & Meng, Xiangfei & Wang, Yong & Khajepour, Amir & An, Xiaowen & Wang, Renguang & Sun, Fengchun, 2024. "Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
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