System dynamics-based effectiveness and sustainability analysis of renewable energy generation policy in China

可再生能源 环境经济学 可再生能源组合标准 持续性 系统动力学 可持续发展 文件夹 能源政策 资源(消歧) 政府(语言学) 上网电价 业务 自然资源经济学 经济 工程类 计算机科学 人工智能 财务 政治学 生态学 法学 计算机网络 语言学 哲学 电气工程 生物
作者
Li Wang,Yumei Zhuo,Yanfei Deng
出处
期刊:Journal of Renewable and Sustainable Energy [American Institute of Physics]
卷期号:13 (4) 被引量:4
标识
DOI:10.1063/5.0049590
摘要

As the Chinese government has promulgated many renewable energy generation policies to reduce carbon emissions and stimulate the renewable energy industry, it is vital to assess the policy effectiveness and extent to which they encourage sustainable renewable energy generation. This paper focused on the most prominent and the best-performing policy mechanisms feed-in tariffs (FIT) and renewable portfolio standards (RPS), and developed a system dynamics model to comprehensively evaluate the effectiveness and sustainability of the renewable energy generation policies. The model clearly shows the complex causal relationships between the related economic and environmental factors, and the policy scenarios were simulated to indicate the future trends and illustrate the coordination processes between polices and compare the development effects. The results show that current FIT has no obvious impact on the sustainable development of renewable energy industry, while under the integrated scenario, the RPS quota growth rate and fines have a significant positive effect after the construction period. The findings also suggest that a FIT-RPS integrated renewable energy generation policy and a perfect RPS trading system should be prioritized, and the RPS quota ratios and fines should be appropriately increased. As various policies cannot be simultaneously implemented because of financial and resource limitations, the proposed system of dynamics-based analysis approach is useful to analyze policy effectiveness and long-term industry sustainability to ensure the provision of optimized policies. It can also provide guidance for similar problems in different areas as well as decision support for further renewable energy generation policy development.

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