Abstract
Renewable energy is playing an increasingly important role in energy security and environmental protection. As China has a huge demand for renewable energy and also has abundant wind resources, it is vital that government, investors and operators work together to ensure the sustainable development of the wind energy industry. Even though China is already a leader in wind power generation with the largest installed wind power capacity in the world, it has continued to build new wind power facilities. However, due to industrial immaturity and the need for significant investment, wind power investors and operators are faced with uncertainty about the attendant risks. To achieve risk mitigation and sustainability, this paper proposes an investment risk evaluation and optimization process for Chinese wind power projects. The Monte Carlo method is first used to evaluate the investment risks, after which a multi-objective programming model is built for the optimization. A specific case in western China is examined to demonstrate the proposed methodology, with the evaluation results indicating that the project has high investment risk. Based on the case study, the key risk factors are identified and optimization suggestions given for China’s wind power projects. The proposed methodology and findings contribute to research on the planning, investment and sustainable operation of renewable energy power generation projects in other areas in China.
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Acknowledgements
The work was supported by the Program of National Natural Science Foundation of China under Grant No. (71401136 and 71503216), the Fundamental Research Funds for the Central Universities,Southwest University for Nationalities under Grant (No. 2016NZYQN13), and the System Science and Enterprise Development Research Center Project under Grant (No. xq15c02). The authors are indebted to the editors and reviewers for their valuable comments and suggestions.
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Lei, X., Shiyun, T., Yanfei, D. et al. Sustainable operation-oriented investment risk evaluation and optimization for renewable energy project: a case study of wind power in China. Ann Oper Res 290, 223–241 (2020). https://doi.org/10.1007/s10479-018-2878-z
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DOI: https://doi.org/10.1007/s10479-018-2878-z