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Comprehensive Evaluation of Global Clean Energy Development Level Based on Compatibility and Difference Degree

机译：基于兼容性和差异程度的全球清洁能源开发水平综合评价

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摘要

To promote the energy structure adjustment and clean energy development, this paper evaluates the global clean energy development level. Firstly, the global clean energy development level evaluation index system is established based on index system construction principles; secondly, the comprehensive weight is determined based on additive integration model, which is used to combine subjective and objective weights. Moreover, the variance minimal optimization method is used to select the combination scheme of dimensionless method and objective weight method, which could avoid the influence from subjective selection of method and enhance the stability of weighting. Thirdly, grey relational degree method and logarithmic range method are applied to evaluate the global clean energy development level. Then using the compatibility degree maximization and difference degree minimization model considers the compatibility and difference degree of the various comprehensive evaluation methods results and chooses the result with the maximization compatibility degree and minimization difference degree as the final evaluation scheme, which makes the evaluation result more scientific, robust, and reasonable. Finally, this paper empirically analyzes the 66 countries in the world to verify the effectiveness of the method and evaluates the development level of the region according to the spatial distribution map of the development level.
机译：为促进能源结构调整和清洁能源发展，本文评估了全球清洁能源开发水平。首先，全球清洁能源开发水平评估指标体系是基于指标体系建设原则建立的;其次，基于添加剂集成模型确定综合重量，该模型用于结合主观和客观权重。此外，方差最小优化方法用于选择无量纲方法和客观重量方法的组合方案，其可以避免从主观选择方法的影响并增强加权的稳定性。第三，应用灰色关系度方法和对数范围方法来评估全局清洁能源开发水平。然后使用兼容度最大化和差异程度最小化模型考虑各种综合评估方法的兼容性和差异程度，并选择具有最大化兼容性程度的结果和最小化差异程度，作为最终评估方案，这使得评估结果更加科学，强大，合理。最后，本文经验分析了世界66个国家，以验证该方法的有效性，并根据开发水平的空间分布图评估该地区的发展水平。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第17期|6729209.1-6729209.16|共16页
  • 作者

    He Yongxiu; Zhang Yi; Pang Yuexia;

  • 作者单位

    North China Elect Power Univ Sch Econ & Management Bei Nong Lu 2 Beijing Peoples R China|North China Elect Power Univ Beijing Key Lab New Energy & Low Carbon Dev Beijing Peoples R China;

    North China Elect Power Univ Sch Econ & Management Bei Nong Lu 2 Beijing Peoples R China|North China Elect Power Univ Beijing Key Lab New Energy & Low Carbon Dev Beijing Peoples R China;

    North China Elect Power Univ Sch Econ & Management Bei Nong Lu 2 Beijing Peoples R China|North China Elect Power Univ Beijing Key Lab New Energy & Low Carbon Dev Beijing Peoples R China;

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