IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v284y2023ics0360544223026968.html
   My bibliography  Save this article

Analysis and prediction of green hydrogen production potential by photovoltaic-powered water electrolysis using machine learning in China

Author

Listed:
  • Cheng, Guishi
  • Luo, Ercheng
  • Zhao, Ying
  • Yang, Yihao
  • Chen, Binbin
  • Cai, Youcheng
  • Wang, Xiaoqiang
  • Dong, Changqing

Abstract

With the background of energy saving and emission reduction, hydrogen production needs to be gradually changed from gray hydrogen to green hydrogen. Photovoltaic water electrolysis is a good method for producing green hydrogen, and its potential in China needs to be explored. The focus of this study is to analyze and predict the potential of green hydrogen production by photovoltaic-powered water electrolysis using machine learning methods in China. For this purpose, a photovoltaic-electrolysis (PV-E) system was selected to forecast the hydrogen production. Among the two selected algorithms, the non-time series algorithm SVM performs better than FbProphet. The R2 values of the test sets in four regions are 0.968, 0.980, 0.955, and 0.960. The RMSE values of the test sets in four regions are 81.3 kg/km2, 31.4 kg/km2, 71.1 kg/km2, and 70.0 kg/km2. The predicted daily hydrogen production in the two regions with higher radiation, MPZ and TCZ, are 32.5 × 103 kg/km2 and 27.5 × 103 kg/km2, respectively. Combined with the unused land area in the two districts, it is expected that the annual hydrogen production can be as high as 8.3368 × 109 t and 1.0259 × 1010 t. This study demonstrates the viability and environmental friendliness of green hydrogen generation using photovoltaic-powered water electrolysis in China.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223026968
    DOI: 10.1016/j.energy.2023.129302
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223026968
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129302?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Deng, Yimin & Li, Shuo & Appels, Lise & Zhang, Huili & Sweygers, Nick & Baeyens, Jan & Dewil, Raf, 2023. "Steam reforming of ethanol by non-noble metal catalysts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    2. 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.
    3. Guo, L.J. & Zhao, L. & Jing, D.W. & Lu, Y.J. & Yang, H.H. & Bai, B.F. & Zhang, X.M. & Ma, L.J. & Wu, X.M., 2009. "Solar hydrogen production and its development in China," Energy, Elsevier, vol. 34(9), pages 1073-1090.
    4. Garcia, Gabriel & Arriola, Emmanuel & Chen, Wei-Hsin & De Luna, Mark Daniel, 2021. "A comprehensive review of hydrogen production from methanol thermochemical conversion for sustainability," Energy, Elsevier, vol. 217(C).
    5. Wang, Gang & Chao, Yuechao & Chen, Zeshao, 2021. "Promoting developments of hydrogen powered vehicle and solar PV hydrogen production in China: A study based on evolutionary game theory method," Energy, Elsevier, vol. 237(C).
    6. Wang, Wanrong & Ma, Yingjie & Maroufmashat, Azadeh & Zhang, Nan & Li, Jie & Xiao, Xin, 2022. "Optimal design of large-scale solar-aided hydrogen production process via machine learning based optimisation framework," Applied Energy, Elsevier, vol. 305(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ayiguzhali Tuluhong & Qingpu Chang & Lirong Xie & Zhisen Xu & Tengfei Song, 2024. "Current Status of Green Hydrogen Production Technology: A Review," Sustainability, MDPI, vol. 16(20), pages 1-47, October.
    2. Xu, Guanxin & Wu, Yan & Tang, Shuo & Wang, Yufei & Yu, Xinhai & Ma, Mingyan, 2024. "Optimal design of hydrogen production processing coupling alkaline and proton exchange membrane electrolyzers," Energy, Elsevier, vol. 302(C).
    3. Xu, Boshi & Yang, Yang & Li, Jun & Ye, Dingding & Wang, Yang & Zhang, Liang & Zhu, Xun & Liao, Qiang, 2024. "A comprehensive study of parameters distribution in a short PEM water electrolyzer stack utilizing a full-scale multi-physics model," Energy, Elsevier, vol. 300(C).
    4. Seyed Mohammad Shojaei & Reihaneh Aghamolaei & Mohammad Reza Ghaani, 2024. "Recent Advancements in Applying Machine Learning in Power-to-X Processes: A Literature Review," Sustainability, MDPI, vol. 16(21), pages 1-41, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Peiye & Liu, Ming & Mu, Ruiqi & Yan, Junjie, 2024. "Exergy-based control strategy design and dynamic performance enhancement for parabolic trough solar receiver-reactor of methanol decomposition reaction," Renewable Energy, Elsevier, vol. 224(C).
    2. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    3. Tang, Yuanyou & Wang, Yang & Long, Wuqiang & Xiao, Ge & Wang, Yongjian & Li, Weixing, 2023. "Analysis and enhancement of methanol reformer performance for online reforming based on waste heat recovery of methanol-diesel dual direct injection engine," Energy, Elsevier, vol. 283(C).
    4. Wang, Chao & Liao, Mingzheng & Jiang, Zhiqiang & Liang, Bo & Weng, Jiahong & Song, Qingbin & Zhao, Ming & Chen, Ying & Lei, Libin, 2022. "Sorption-enhanced propane partial oxidation hydrogen production for solid oxide fuel cell (SOFC) applications," Energy, Elsevier, vol. 247(C).
    5. Wang, Gang & Zhang, Zhen & Lin, Jianqing, 2024. "Multi-energy complementary power systems based on solar energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    6. Xiao Li & Lingzhi Yang & Yong Hao, 2023. "Absorption-Enhanced Methanol Steam Reforming for Low-Temperature Hydrogen Production with Carbon Capture," Energies, MDPI, vol. 16(20), pages 1-16, October.
    7. Konstantinos Kappis & Joan Papavasiliou & George Avgouropoulos, 2021. "Methanol Reforming Processes for Fuel Cell Applications," Energies, MDPI, vol. 14(24), pages 1-30, December.
    8. Yao, Qiuxiang & Wang, Linyang & Ma, Mingming & Ma, Li & He, Lei & Ma, Duo & Sun, Ming, 2024. "A quantitative investigation on pyrolysis behaviors of metal ion-exchanged coal macerals by interpretable machine learning algorithms," Energy, Elsevier, vol. 300(C).
    9. Nzihou, Ange & Flamant, Gilles & Stanmore, Brian, 2012. "Synthetic fuels from biomass using concentrated solar energy – A review," Energy, Elsevier, vol. 42(1), pages 121-131.
    10. Chen, Wei-Hsin & Calapatia, Andre Marvin A. & Ubando, Aristotle T., 2024. "Design of dual-channel Swiss-roll reactor for high-performance hydrogen production from ethanol steam reforming through waste heat valorization," Energy, Elsevier, vol. 306(C).
    11. Pan, Xin & Xiong, Yuefei & Wang, Cong & Qin, Jiang & Zhang, Silong & Bao, Wen, 2022. "Performance analysis of precooled turbojet engine with a low-temperature endothermic fuel," Energy, Elsevier, vol. 248(C).
    12. Zha, Xiaojian & Zhang, Zewu & Zhao, Zhenghong & Yang, Long & Mao, Wenchao & Wu, Fan & Li, Xiaoshan & Luo, Cong & Zhang, Liqi, 2024. "Comparative study on co-firing characteristics of normal and superfine pulverized coal blended with NH3 under the MILD combustion mode," Energy, Elsevier, vol. 305(C).
    13. Dongpu Fu & Jiarui Sun & Cuiyou Yao & Fulei Shi, 2024. "The influence of policy incentives on the diffusion of battery-swapping taxis and stations: a coupled evolutionary game model in complex networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26945-26969, October.
    14. Shen, Qiuwan & Shao, Zicheng & Li, Shian & Yang, Guogang & Sunden, Bengt, 2023. "Effects of B-site Al doping on microstructure characteristics and hydrogen production performance of novel LaNixAl1-xO3-δ perovskite in methanol steam reforming," Energy, Elsevier, vol. 268(C).
    15. Wang, Gang & He, Dongyou & Wang, Fasi & Chen, Zeshao, 2024. "Design and performance estimate of a novel linear fresnel reflector solar-gas combined system for producing electricity and hydrogen," Renewable Energy, Elsevier, vol. 227(C).
    16. Shu, Zhiyong & Liang, Wenqing & Zheng, Xiaohong & Lei, Gang & Cao, Peng & Dai, Wenxiao & Qian, Hua, 2021. "Dispersion characteristics of hydrogen leakage: Comparing the prediction model with the experiment," Energy, Elsevier, vol. 236(C).
    17. Coskun, C. & Oktay, Z. & Dincer, I., 2011. "Estimation of monthly solar radiation distribution for solar energy system analysis," Energy, Elsevier, vol. 36(2), pages 1319-1323.
    18. Yilmaz, Fatih & Balta, M. Tolga & Selbaş, Reşat, 2016. "A review of solar based hydrogen production methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 171-178.
    19. Tieliu Jiang & Tianlin Zou & Gang Wang, 2023. "Comparative Analysis of Thermodynamic Performances of a Linear Fresnel Reflector Photovoltaic/Thermal System Using Ag/Water and Ag-CoSO 4 /Water Nano-Fluid Spectrum Filters," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
    20. Qiu, Guoyi & Zhu, Shaolong & Wang, Kai & Wang, Weibo & Hu, Junhui & Hu, Yun & Zhi, Xiaoqin & Qiu, Limin, 2023. "Numerical study on the dynamic process of reciprocating liquid hydrogen pumps for hydrogen refueling stations," Energy, Elsevier, vol. 281(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223026968. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.