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Evaluation of NOx, SOx and CO2 Emissions of Taiwan’s Thermal Power Plants by Data Envelopment Analysis

机译:基于数据包络分析的台湾火力发电厂NOx,SOx和CO2排放评估

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摘要

An integrated environmental and operational evaluation model is constructed by data envelopment analysis (DEA) to examine seven thermal power plants operating in Taiwan during 2001–2008. Inputs and desirable outputs along with undesirable outputs, including CO2, SOx, and NOx emissions, were simulated. A slack variable analysis was conducted to identify possible ways to improve the inefficient power plants. In addition, three models were compared to identify the actual magnitude of inefficiency. The results indicate that the integrated efficiency and production scale of some plants were inefficient during 2001–2008. Reductions in fuel consumption and CO2 emissions are identified as the major strategies to improve efficiency. Other options include modifying pre-existing management measures, installing pollution prevention controls and resizing the scale of the power plant. It is anticipated that the findings of this study will help policymakers to achieve better environmental and operational performance with regard to existing thermal power plants.
机译:通过数据包络分析(DEA)构建了一个综合的环境和运营评估模型,以研究台湾在2001-2008年期间运营的七个火力发电厂。模拟了输入和期望的输出以及不期望的输出,包括CO2,SOx和NOx排放。进行了松弛变量分析,以确定改善效率低下的发电厂的可能方法。此外,还对三个模型进行了比较,以确定效率低下的实际程度。结果表明,在2001–2008年期间,一些工厂的综合效率和生产规模效率低下。减少燃油消耗和减少二氧化碳排放被确定为提高效率的主要策略。其他选择包括修改现有管理措施,安装污染预防控制措施以及调整电厂规模。可以预期,这项研究的结果将有助于政策制定者在现有火力发电厂方面实现更好的环境和运营绩效。

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