ORIGINAL RESEARCH
Research on Comprehensive Risk Assessment Model of Photovoltaic Desertification Control Projects Based on the Whole Life Cycle – A Case Study of China
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State Grid Xinjiang Electric Power Company, Urumqi, China
 
 
Submission date: 2024-01-24
 
 
Final revision date: 2024-04-23
 
 
Acceptance date: 2024-07-22
 
 
Online publication date: 2024-11-22
 
 
Publication date: 2025-07-22
 
 
Corresponding author
Fangliang Cheng   

State Grid Xinjiang Electric Power Company, Urumqi, China
 
 
Pol. J. Environ. Stud. 2025;34(5):5655-5668
 
KEYWORDS
TOPICS
ABSTRACT
The establishment of photovoltaic power stations (photovoltaic desertification control) in desert regions presents a viable solution for the prevention and mitigation of desertification. However, due to the difficult construction, high investment amount, and strong technical complexity of photovoltaic sand control projects, coupled with the significant influence of environmental factors on photovoltaic module output power, these projects encounter heightened risks and uncertainties throughout their entire life cycle. Therefore, conducting a comprehensive risk assessment for photovoltaic desertification control projects is of immense significance. This study establishes a scientifically rigorous and comprehensive risk index evaluation system tailored to the specific characteristics of photovoltaic sand control projects. By integrating the Analytic Network Process (ANP) with the gray fuzzy comprehensive evaluation method, an assessment of China’s photovoltaic sand control projects is conducted to determine their risk levels. The findings indicate that photovoltaic desertification control projects in China fall within the range of “medium” to “high” risk levels. Furthermore, based on the evaluation results, this paper provides targeted risk management recommendations for each identified factor, aiming to assist policymakers and investors in effectively addressing potential risks.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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