Restoring the natural flow regime of a large hydroelectric complex: Costs and considerations
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DOI: 10.1016/j.energy.2019.116260
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- Feng, Zhong-kai & Niu, Wen-jing & Wang, Wen-chuan & Zhou, Jian-zhong & Cheng, Chun-tian, 2019. "A mixed integer linear programming model for unit commitment of thermal plants with peak shaving operation aspect in regional power grid lack of flexible hydropower energy," Energy, Elsevier, vol. 175(C), pages 618-629.
- Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian, 2019. "China’s large-scale hydropower system: operation characteristics, modeling challenge and dimensionality reduction possibilities," Renewable Energy, Elsevier, vol. 136(C), pages 805-818.
- Kumar, Deepak & Katoch, S.S., 2017. "Dams turning devils: An insight into the public safety aspects in operational run of the river hydropower projects in western Himalayas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 173-183.
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Keywords
Akosombo dam; Hydropower; Power pool modelling; Run-of-river; Spillage; Economic dispatch;All these keywords.
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