Operation Optimization of Regional Integrated Energy Systems with Hydrogen by Considering Demand Response and Green Certificate–Carbon Emission Trading Mechanisms
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- Li, Li & Wang, Jing & Zhong, Xiaoyi & Lin, Jian & Wu, Nianyuan & Zhang, Zhihui & Meng, Chao & Wang, Xiaonan & Shah, Nilay & Brandon, Nigel & Xie, Shan & Zhao, Yingru, 2022. "Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions," Applied Energy, Elsevier, vol. 308(C).
- Liang, Tao & Chai, Lulu & Tan, Jianxin & Jing, Yanwei & Lv, Liangnian, 2024. "Dynamic optimization of an integrated energy system with carbon capture and power-to-gas interconnection: A deep reinforcement learning-based scheduling strategy," Applied Energy, Elsevier, vol. 367(C).
- Tan, Jinjing & Pan, Weiqi & Li, Yang & Hu, Haoming & Zhang, Can, 2023. "Energy-sharing operation strategy of multi-district integrated energy systems considering carbon and renewable energy certificate trading," Applied Energy, Elsevier, vol. 339(C).
- Ye, Yang & Ding, Jing & Wang, Weilong & Yan, Jinyue, 2021. "The storage performance of metal hydride hydrogen storage tanks with reaction heat recovery by phase change materials," Applied Energy, Elsevier, vol. 299(C).
- Li, Zhengmao & Wu, Lei & Xu, Yan & Wang, Luhao & Yang, Nan, 2023. "Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids," Applied Energy, Elsevier, vol. 331(C).
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Keywords
regional integrated energy system; green certificate–carbon emission trading; integrated demand response; renewable energy; optimal design;All these keywords.
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