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Assessment of green hydrogen production by volatile renewable energy under different SSPs scenarios in China

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  • Liu, Bingchun
  • Lai, Mingzhao
  • Wang, Yajie
  • Wang, Yibo
  • Chen, Jiali
  • Song, Chengyuan

Abstract

In the context of increasing global concerns about climate change and sustainable energy, the production of green hydrogen (GH) from volatile renewable energy (VRE) sources, such as solar and wind, is a natural choice for China to meet its climate change mitigation goals. However, there are a number of challenges in current research on the assessment of green hydrogen potential. This study evaluates the potential of GH production through VRE at the regional level in China, under the various scenarios of Shared Socioeconomic Pathways (SSPs). For this purpose, a power generation prediction model suitable for VRE is proposed to predict the energy supply capacity for GH production in six regions of China, which combined Multilevel Discrete Wavelet Decomposition and Bi-directional Long Short-Term Memory with attention mechanism (MDWD - AMBiLSTM). The total amount of GH could potentially reach up to 428.01 Mt under the SSP1, with the northern region leading at the regional level at 104.21 Mt. Furthermore, the study evaluated the potential for GH promotion in six regions of China between 2023 and 2035 b y combining the three dimensions of GH production potential, economic evaluation, and environmental contribution. This study tentative identify priority areas and development scenarios for promoting GH production in China, and made policy recommendations for the promotion of green hydrogen in disparate areas.

Suggested Citation

  • Liu, Bingchun & Lai, Mingzhao & Wang, Yajie & Wang, Yibo & Chen, Jiali & Song, Chengyuan, 2024. "Assessment of green hydrogen production by volatile renewable energy under different SSPs scenarios in China," Renewable Energy, Elsevier, vol. 235(C).
    • Handle: RePEc:eee:renene:v:235:y:2024:i:c:s0960148124013648
    DOI: 10.1016/j.renene.2024.121296
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    1. Zhou, Jianli & Liu, Dandan & Sha, Ru & Sun, Jingbing & Wang, Yubao & Wu, Yunna, 2024. "Geospatial simulation and decision optimization towards identifying the layout suitability and priority for wind-photovoltaic-hydrogen-ammonia project: An empirical study in China," Energy, Elsevier, vol. 286(C).
    2. Muhammad Aslam & Jae-Myeong Lee & Mustafa Raed Altaha & Seung-Jae Lee & Sugwon Hong, 2020. "AE-LSTM Based Deep Learning Model for Degradation Rate Influenced Energy Estimation of a PV System," Energies, MDPI, vol. 13(17), pages 1-14, August.
    3. Wang, Yujie & Sun, Qingqing & Wu, Jingjun & Han, Shuai & Zhang, Ruonan & Jiang, Shiyan & Gu, Xiao, 2023. "Research on the low carbon development path of China's coal industry under carbon peaking & carbon neutral target: Based on the RCPs-SSPs framework," Resources Policy, Elsevier, vol. 86(PB).
    4. Pan, Xianyou & Yuan, Ge & Wu, Xianhua & Xie, Pinjie, 2023. "The effects of government subsidies on the economic profits of hydrogen energy enterprises – An analysis based on A-share listed enterprises in China," Renewable Energy, Elsevier, vol. 211(C), pages 445-451.
    5. Carvalho, D. & Rocha, A. & Costoya, X. & deCastro, M. & Gómez-Gesteira, M., 2021. "Wind energy resource over Europe under CMIP6 future climate projections: What changes from CMIP5 to CMIP6," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    6. Duan, Jikai & Zuo, Hongchao & Bai, Yulong & Duan, Jizheng & Chang, Mingheng & Chen, Bolong, 2021. "Short-term wind speed forecasting using recurrent neural networks with error correction," Energy, Elsevier, vol. 217(C).
    7. Huang, Junbo & Balcombe, Paul, 2024. "How to minimise the cost of green hydrogen with hybrid supply: A regional case study in China," Applied Energy, Elsevier, vol. 355(C).
    8. Nadaleti, Willian Cézar & Gomes, Jeferson Peres, 2023. "Green hydrogen production from urban waste biogas: An analysis of the Brazilian potential and the process’ economic viability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    9. Zainal, Bidattul Syirat & Ker, Pin Jern & Mohamed, Hassan & Ong, Hwai Chyuan & Fattah, I.M.R. & Rahman, S.M. Ashrafur & Nghiem, Long D. & Mahlia, T M Indra, 2024. "Recent advancement and assessment of green hydrogen production technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    10. Liang Ran & Yaling Mao & Tiejiang Yuan & Guofeng Li, 2022. "Low-Carbon Transition Pathway Planning of Regional Power Systems with Electricity-Hydrogen Synergy," Energies, MDPI, vol. 15(22), pages 1-17, November.
    11. Bhandari, Ramchandra, 2022. "Green hydrogen production potential in West Africa – Case of Niger," Renewable Energy, Elsevier, vol. 196(C), pages 800-811.
    12. Lee, Yoonjae & Ha, Byeongmin & Hwangbo, Soonho, 2022. "Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy," Renewable Energy, Elsevier, vol. 200(C), pages 69-87.
    13. Yu, Min & Niu, Dongxiao & Wang, Keke & Du, Ruoyun & Yu, Xiaoyu & Sun, Lijie & Wang, Feiran, 2023. "Short-term photovoltaic power point-interval forecasting based on double-layer decomposition and WOA-BiLSTM-Attention and considering weather classification," Energy, Elsevier, vol. 275(C).
    14. Yadong Lei & Zhili Wang & Deying Wang & Xiaoye Zhang & Huizheng Che & Xu Yue & Chenguang Tian & Junting Zhong & Lifeng Guo & Lei Li & Hao Zhou & Lin Liu & Yangyang Xu, 2023. "Co-benefits of carbon neutrality in enhancing and stabilizing solar and wind energy," Nature Climate Change, Nature, vol. 13(7), pages 693-700, July.
    15. María Villarreal Vives, Ana & Wang, Ruiqi & Roy, Sumit & Smallbone, Andrew, 2023. "Techno-economic analysis of large-scale green hydrogen production and storage," Applied Energy, Elsevier, vol. 346(C).
    16. Mirza, Adeel Feroz & Shu, Zhaokun & Usman, Muhammad & Mansoor, Majad & Ling, Qiang, 2024. "Quantile-transformed multi-attention residual framework (QT-MARF) for medium-term PV and wind power prediction," Renewable Energy, Elsevier, vol. 220(C).
    17. Cheng, Guishi & Luo, Ercheng & Zhao, Ying & Yang, Yihao & Chen, Binbin & Cai, Youcheng & Wang, Xiaoqiang & Dong, Changqing, 2023. "Analysis and prediction of green hydrogen production potential by photovoltaic-powered water electrolysis using machine learning in China," Energy, Elsevier, vol. 284(C).
    18. Huang, Jingzhi & Lu, Danni & Huang, Xianan & Hu, Zhenda & Liu, Lin & Lin, Changzhui & Jing, Rui & Xie, Chunping & Brandon, Nigel & Zheng, Xuyue & Zhao, Yingru, 2024. "Is China ready for a hydrogen economy? Feasibility analysis of hydrogen energy in the Chinese transportation sector," Renewable Energy, Elsevier, vol. 223(C).
    19. Niu, Yunbo & Wang, Jianzhou & Zhang, Ziyuan & Luo, Tianrui & Liu, Jingjiang, 2024. "De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure," Applied Energy, Elsevier, vol. 353(PB).
    20. Sarah Feron & Raúl R. Cordero & Alessandro Damiani & Robert B. Jackson, 2021. "Climate change extremes and photovoltaic power output," Nature Sustainability, Nature, vol. 4(3), pages 270-276, March.
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