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Spatiotemporal Analysis of Photovoltaic Potential in Ordos City Based on an Improved CRITIC Method

Author

Listed:
  • Yifei Guo

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    School of Geosciences, Yangtze University, Wuhan 430100, China)

  • Lanwei Zhu

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Liduo Dou

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    School of Geosciences, Yangtze University, Wuhan 430100, China)

  • Yuxin He

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    School of Geosciences, Yangtze University, Wuhan 430100, China)

  • Meiqing Wu

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    Coll Informat & Commun, Guilin University of Electronic Technology, Guilin 541004, China)

Abstract

In view of the contradiction between the still-high energy consumption in Ordos and the increasingly urgent carbon-neutral goal, the adjustment of energy structures has begun, and strategic planning of photovoltaic facility construction critically supports the sustainable growth of local energy systems. Therefore, the author constructed the site selection evaluation system of photovoltaic suitability based on remote sensing, meteorological and topographic data. The improved CRITIC empowerment method is used to comprehensively consider the conflict and variability of the indicators for an objective and quantitative analysis of the spatial and temporal changes in suitable areas for photovoltaic development. Finally, the comprehensive evaluation results of the photovoltaic site selection are obtained. The results show that (a) the improved CRITIC method reduces the weight of ‘night light’ from 0.24 to 0.14, effectively reducing the weight bias caused by the extreme value and (b) since 2010, the regional area of suitable level and above has increased from 23.96% to 48.24%, and its spatial center of gravity shows a trend of moving first to northeast and then to southwest. This study overcomes the limitations of mainstream subjective evaluation methods. Additionally, it addresses the oversight of human factors’ impact on suitability in traditional assessment frameworks. This research provides decision-making support for regional energy allocation planning and spatial planning.

Suggested Citation

  • Yifei Guo & Lanwei Zhu & Liduo Dou & Yuxin He & Meiqing Wu, 2025. "Spatiotemporal Analysis of Photovoltaic Potential in Ordos City Based on an Improved CRITIC Method," Land, MDPI, vol. 14(4), pages 1-13, March.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:742-:d:1624489
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    References listed on IDEAS

    as
    1. Wenxia Liu & Dapeng Guo & Yahui Xu & Rui Cheng & Zhiqiang Wang & Yueqiao Li, 2018. "Reliability Assessment of Power Systems with Photovoltaic Power Stations Based on Intelligent State Space Reduction and Pseudo-Sequential Monte Carlo Simulation," Energies, MDPI, vol. 11(6), pages 1-14, June.
    2. Minaei, Foad & Minaei, Masoud & Kougias, Ioannis & Shafizadeh-Moghadam, Hossein & Hosseini, Seyed Ali, 2021. "Rural electrification in protected areas: A spatial assessment of solar photovoltaic suitability using the fuzzy best worst method," Renewable Energy, Elsevier, vol. 176(C), pages 334-345.
    3. Lijiang Liang & Zhen Chen & Shijin Chen & Xinqi Zheng, 2023. "Evaluation of Site Suitability for Photovoltaic Power Plants in the Beijing–Tianjin–Hebei Region of China Using a Combined Weighting Method," Land, MDPI, vol. 13(1), pages 1-23, December.
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