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首页> 外文期刊>Journal of Cleaner Production >Performance evaluation of thermal power plants considering CO_2 emission: A multistage PCA, clustering, game theory and data envelopment analysis
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Performance evaluation of thermal power plants considering CO_2 emission: A multistage PCA, clustering, game theory and data envelopment analysis

机译：考虑CO_2排放的火电厂性能评估：多阶段PCA，聚类，博弈论和数据包络分析

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Data envelopment analysis is a relative performance assessment method to evaluate performance of a group of decision making units. Empirically, when the number of decision making units is insufficient, the classical data envelopment analysis models cannot discriminate the efficient units perfectly. To overcome this issue, in this paper, several mathematical approaches, including "multivariate data analysis techniques", "game theory", "Shannon entropy" and "the technique for order of preference by similarity to ideal solution", are combined with data envelopment analysis. The proposed framework is applied to evaluate performance of Iranian thermal power plants. Inefficient performance of thermal power plants may end up in serious economic and environmental problems for example CO2 emission. Therefore, evaluating performance of thermal power plants and identifying their weaknesses in order to improve their performance is a necessity. The obtained results are analyzed, and some practical suggestions are provided to achieve sustainable performance and a cleaner production system. (C) 2019 Elsevier Ltd. All rights reserved.
机译：数据包络分析是一种相对绩效评估方法，用于评估一组决策单元的绩效。根据经验，当决策单元的数量不足时，经典的数据包络分析模型无法完美地区分有效的单元。为了克服这个问题，本文提出了几种数学方法，包括“多元数据分析技术”，“博弈论”，“香农熵”和“与理想解相似的偏好顺序技术”。 ”，与数据包络分析相结合。拟议的框架适用于评估伊朗火力发电厂的性能。火力发电厂效率低下可能会导致严重的经济和环境问题，例如二氧化碳排放。因此，有必要评估火力发电厂的性能并找出其弱点以改善其性能。对获得的结果进行分析，并提供一些实践建议，以实现可持续的性能和更清洁的生产系统。 （C）2019 Elsevier Ltd.保留所有权利。

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