IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i3p1305-d1047300.html
   My bibliography  Save this article

A GIS-Based Multidimensional Evaluation Method for Solar Energy Potential in Shanxi Province, China

Author

Listed:
  • Liang Cui

    (College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Junrui Zhang

    (College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Yongyong Su

    (College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Siyuan Li

    (College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, China)

Abstract

Solar energy is considered one of the most hopeful alternative sources to avoiding dependence on fossil fuels, and it does not cause any air pollution. GIS-based solar energy potential evaluation is mainly focused on regional scale; further, more solar energy potential evaluation with building scale is calculated through observation data and mathematical model. Therefore, in this paper, a GIS-based joint solar energy potential evaluation is developed to evaluate the distributed photovoltaic potential and centralized photovoltaic potential. Shanxi province in China, which has abundant coal resources, is used as the study area. The raster grid scale is used as the minimum research scale, which could not only deal with the distributed photovoltaic potential but could also calculate the centralized photovoltaic potential. The obtained results indicate that the developed method could effectively deal with problems associated with the distributed photovoltaic potential and centralized photovoltaic potential in the raster grid scale.

Suggested Citation

  • Liang Cui & Junrui Zhang & Yongyong Su & Siyuan Li, 2023. "A GIS-Based Multidimensional Evaluation Method for Solar Energy Potential in Shanxi Province, China," Energies, MDPI, vol. 16(3), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1305-:d:1047300
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/3/1305/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/3/1305/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vardimon, Ran, 2011. "Assessment of the potential for distributed photovoltaic electricity production in Israel," Renewable Energy, Elsevier, vol. 36(2), pages 591-594.
    2. Girard, A. & Gago, E.J. & Ordoñez, J. & Muneer, T., 2016. "Spain's energy outlook: A review of PV potential and energy export," Renewable Energy, Elsevier, vol. 86(C), pages 703-715.
    3. Rahimat O. Yakubu & Maame T. Ankoh & Lena D. Mensah & David A. Quansah & Muyiwa S. Adaramola, 2022. "Predicting the Potential Energy Yield of Bifacial Solar PV Systems in Low-Latitude Region," Energies, MDPI, vol. 15(22), pages 1-17, November.
    4. Dinçer, Furkan, 2011. "The analysis on photovoltaic electricity generation status, potential and policies of the leading countries in solar energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 713-720, January.
    5. Firozjaei, Mohammad Karimi & Nematollahi, Omid & Mijani, Naeim & Shorabeh, Saman Nadizadeh & Firozjaei, Hamzeh Karimi & Toomanian, Ara, 2019. "An integrated GIS-based Ordered Weighted Averaging analysis for solar energy evaluation in Iran: Current conditions and future planning," Renewable Energy, Elsevier, vol. 136(C), pages 1130-1146.
    6. Zhang, Yuhu & Ren, Jing & Pu, Yanru & Wang, Peng, 2020. "Solar energy potential assessment: A framework to integrate geographic, technological, and economic indices for a potential analysis," Renewable Energy, Elsevier, vol. 149(C), pages 577-586.
    7. Fillol, Erwann & Albarelo, Tommy & Primerose, Antoine & Wald, Lucien & Linguet, Laurent, 2017. "Spatiotemporal indicators of solar energy potential in the Guiana Shield using GOES images," Renewable Energy, Elsevier, vol. 111(C), pages 11-25.
    8. Escobar, Rodrigo A. & Cortés, Cristián & Pino, Alan & Pereira, Enio Bueno & Martins, Fernando Ramos & Cardemil, José Miguel, 2014. "Solar energy resource assessment in Chile: Satellite estimation and ground station measurements," Renewable Energy, Elsevier, vol. 71(C), pages 324-332.
    9. Urban, Frauke & Geall, Sam & Wang, Yu, 2016. "Solar PV and solar water heaters in China: Different pathways to low carbon energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 531-542.
    10. Cheng, Liang & Zhang, Fangli & Li, Shuyi & Mao, Junya & Xu, Hao & Ju, Weimin & Liu, Xiaoqiang & Wu, Jie & Min, Kaifu & Zhang, Xuedong & Li, Manchun, 2020. "Solar energy potential of urban buildings in 10 cities of China," Energy, Elsevier, vol. 196(C).
    Full references (including those not matched with items on IDEAS)

    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. Cheng, Liang & Zhang, Fangli & Li, Shuyi & Mao, Junya & Xu, Hao & Ju, Weimin & Liu, Xiaoqiang & Wu, Jie & Min, Kaifu & Zhang, Xuedong & Li, Manchun, 2020. "Solar energy potential of urban buildings in 10 cities of China," Energy, Elsevier, vol. 196(C).
    2. Sun, Yanwei & Li, Ying & Wang, Run & Ma, Renfeng, 2022. "Measuring dynamics of solar energy resource quality: Methodology and policy implications for reducing regional energy inequality," Renewable Energy, Elsevier, vol. 197(C), pages 138-150.
    3. Carlos Beltran-Velamazan & Marta Monzón-Chavarrías & Belinda López-Mesa, 2021. "A Method for the Automated Construction of 3D Models of Cities and Neighborhoods from Official Cadaster Data for Solar Analysis," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    4. Sánchez-Aparicio, M. & Martín-Jiménez, J. & Del Pozo, S. & González-González, E. & Lagüela, S., 2021. "Ener3DMap-SolarWeb roofs: A geospatial web-based platform to compute photovoltaic potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    5. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(C).
    6. Zhao, Qin & Zhang, Houcheng & Hu, Ziyang & Hou, Shujin, 2021. "Performance evaluation of a new hybrid system consisting of a photovoltaic module and an absorption heat transformer for electricity production and heat upgrading," Energy, Elsevier, vol. 216(C).
    7. Martínez-Martínez, Yenisleidy & Dewulf, Jo & Casas-Ledón, Yannay, 2022. "GIS-based site suitability analysis and ecosystem services approach for supporting renewable energy development in south-central Chile," Renewable Energy, Elsevier, vol. 182(C), pages 363-376.
    8. József Kádár & Martina Pilloni & Tareq Abu Hamed, 2023. "A Survey of Renewable Energy, Climate Change, and Policy Awareness in Israel: The Long Path for Citizen Participation in the National Renewable Energy Transition," Energies, MDPI, vol. 16(5), pages 1-16, February.
    9. Sovacool, Benjamin K. & Martiskainen, Mari, 2020. "Hot transformations: Governing rapid and deep household heating transitions in China, Denmark, Finland and the United Kingdom," Energy Policy, Elsevier, vol. 139(C).
    10. Daniel Wuebben & Jens F. Peters, 2022. "Communicating the Values and Benefits of Home Solar Prosumerism," Energies, MDPI, vol. 15(2), pages 1-19, January.
    11. Armando Castillejo-Cuberos & José Miguel Cardemil & Rodrigo Escobar, 2021. "Analyzing Regional and Local Changes in Irradiance during the 2019 Total Solar Eclipse in Chile, Using Field Observations and Analytical Modeling," Energies, MDPI, vol. 14(17), pages 1-23, August.
    12. Zhang, Yuhu & Ren, Jing & Pu, Yanru & Wang, Peng, 2020. "Solar energy potential assessment: A framework to integrate geographic, technological, and economic indices for a potential analysis," Renewable Energy, Elsevier, vol. 149(C), pages 577-586.
    13. D’Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The economic viability of photovoltaic systems in public buildings: Evidence from Italy," Energy, Elsevier, vol. 207(C).
    14. Wu, Yubo & Du, Jianqiang & Liu, Guangxin & Ma, Danzhu & Jia, Fengrui & Klemeš, Jiří Jaromír & Wang, Jin, 2022. "A review of self-cleaning technology to reduce dust and ice accumulation in photovoltaic power generation using superhydrophobic coating," Renewable Energy, Elsevier, vol. 185(C), pages 1034-1061.
    15. Wang, Yingli & Duan, Jialong & Zhao, Yuanyuan & He, Benlin & Tang, Qunwei, 2018. "Harvest rain energy by polyaniline-graphene composite films," Renewable Energy, Elsevier, vol. 125(C), pages 995-1002.
    16. Hong, Taehoon & Lee, Minhyun & Koo, Choongwan & Jeong, Kwangbok & Kim, Jimin, 2017. "Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis," Applied Energy, Elsevier, vol. 194(C), pages 320-332.
    17. Arnulf Jäger-Waldau, 2020. "The Untapped Area Potential for Photovoltaic Power in the European Union," Clean Technol., MDPI, vol. 2(4), pages 1-7, October.
    18. Choi, Kelvin, Tsz Hei & Brindley, Helen & Ekins-Daukes, N. & Escobar, Rodrigo, 2021. "Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications," Renewable Energy, Elsevier, vol. 173(C), pages 1070-1086.
    19. Nicole E. Statler & Amanda M. Adams & Ted C. Eckmann, 2017. "Optimizing angles of rooftop photovoltaics, ratios of solar to vegetated roof systems, and economic benefits, in Portland, Oregon, USA," Environment Systems and Decisions, Springer, vol. 37(3), pages 320-331, September.
    20. Almorox, Javier & Voyant, Cyril & Bailek, Nadjem & Kuriqi, Alban & Arnaldo, J.A., 2021. "Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review," Energy, Elsevier, vol. 236(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:gam:jeners:v:16:y:2023:i:3:p:1305-:d:1047300. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.