Risk Assessment of China’s Overseas Renewable Energy Investments Based on the Fuzzy ANP Method

China’s overseas renewable energy investments play a key role in global green development but face challenges like policy uncertainty and market volatility. This study employs the Fuzzy Analytic Network Process (FANP) method to evaluate political, economic, and project risks in the Al Dhafra photovoltaic power station project in the UAE. Results show that the FANP method effectively addresses uncertainties and interdependencies among risk factors. The AI Dhafra project demonstrates low overall risk, with political and economic risks rated as “outstanding” and project risks as “excellent.” This study provides insights for optimizing investment decisions and formulating effective energy policies.