Conversion Potential of Renewable Energy Surplus to Methane in China Based on Power Generation Forecasting
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- Ikäheimo, Jussi & Weiss, Robert & Kiviluoma, Juha & Pursiheimo, Esa & Lindroos, Tomi J., 2022. "Impact of power-to-gas on the cost and design of the future low-carbon urban energy system," Applied Energy, Elsevier, vol. 305(C).
- Wang, Qi & Suo, Ruixia & Han, Qiutong, 2024. "A study on natural gas consumption forecasting in China using the LMDI-PSO-LSTM model: Factor decomposition and scenario analysis," Energy, Elsevier, vol. 292(C).
- Qiu, Rui & Zhang, Haoran & Wang, Guotao & Liang, Yongtu & Yan, Jinyue, 2023. "Green hydrogen-based energy storage service via power-to-gas technologies integrated with multi-energy microgrid," Applied Energy, Elsevier, vol. 350(C).
- Liu, Bingchun & Huo, Xiankai, 2024. "Prediction of Photovoltaic power generation and analyzing of carbon emission reduction capacity in China," Renewable Energy, Elsevier, vol. 222(C).
- Wang, Jianzhou & Zhou, Yilin & Li, Zhiwu, 2022. "Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm," Applied Energy, Elsevier, vol. 312(C).
- Er-rbib, Hanaâ & Bouallou, Chakib, 2014. "Modeling and simulation of CO methanation process for renewable electricity storage," Energy, Elsevier, vol. 75(C), pages 81-88.
- Agga, Ali & Abbou, Ahmed & Labbadi, Moussa & El Houm, Yassine, 2021. "Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models," Renewable Energy, Elsevier, vol. 177(C), pages 101-112.
- Bailera, Manuel & Peña, Begoña & Lisbona, Pilar & Romeo, Luis M., 2018. "Decision-making methodology for managing photovoltaic surplus electricity through Power to Gas: Combined heat and power in urban buildings," Applied Energy, Elsevier, vol. 228(C), pages 1032-1045.
- Yilmaz, Hasan Ümitcan & Kimbrough, Steven O. & van Dinther, Clemens & Keles, Dogan, 2022. "Power-to-gas: Decarbonization of the European electricity system with synthetic methane," Applied Energy, Elsevier, vol. 323(C).
- Liu, Tong & Xu, Gang & Cai, Peng & Tian, Longhu & Huang, Qili, 2011. "Development forecast of renewable energy power generation in China and its influence on the GHG control strategy of the country," Renewable Energy, Elsevier, vol. 36(4), pages 1284-1292.
- Gao, Jianwei & Meng, Qichen & Liu, Jiangtao & Wang, Ziying, 2024. "Thermoelectric optimization of integrated energy system considering wind-photovoltaic uncertainty, two-stage power-to-gas and ladder-type carbon trading," Renewable Energy, Elsevier, vol. 221(C).
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- Jianling Li & Juan He & Zihan Xu, 2025. "Sustainability and Material Flow Analysis of Wind Turbine Blade Recycling in China," Sustainability, MDPI, vol. 17(10), pages 1-30, May.
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