首页> 外文会议>Conference on Environmentally Conscious Manufacturing III; Oct 29-30, 2003; Providence, Rhode Island, USA >Environmental benchmarking of the largest fossil-fueled electricity generating plants in the U.S
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Environmental benchmarking of the largest fossil-fueled electricity generating plants in the U.S

机译:美国最大的化石燃料发电厂的环境基准测试

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摘要

Environmental management, to be effective, requires performance evaluation and process improvement. This is especially the case in fossil-fueled electricity generating plants. Although eco-efficient management of these types of organizations are critical to local, national and global environmental issues, few studies have focused on performance measurement and eco-efficiency improvements in this industry. This study evaluates the eco-efficiencies of the top 100 major U.S. "fossil-fueled electricity generating plants from 1998 data. Using a multi-criteria non-parametric productivity model (data envelopment analysis) efficiency scores are determined. These efficiency scores are treated by a clustering method in identifying benchmarks for improving poorly performing plants. Efficiency measures are based on three resource input measures including boiler generating capacity, total fuel" heat used, and total generator capacity, and four output measures including actual energy generated, SO2, NOx, and CO2 emissions. The purpose of this paper is two-fold, to introduce the methodology's application to eco-efficiency performance measurement and show some characteristics of the benchmarked plants and groups.
机译:有效的环境管理需要绩效评估和流程改进。在化石燃料发电厂中尤其如此。尽管这些类型组织的生态效率管理对于地方,国家和全球环境问题至关重要,但是很少有研究集中在该行业的绩效评估和生态效率改善上。这项研究从1998年的数据中评估了美国排名前100位的主要化石燃料发电厂的生态效率。使用多标准非参数生产率模型(数据包络分析)确定了效率得分。效率指标基于三项资源投入指标,包括锅炉发电量,总燃料“发热量”和发电机总容量,以及四项输出指标,包括实际发电量,SO2,NOx,和二氧化碳排放量。本文的目的是双重的,以介绍该方法在生态效率绩效测量中的应用,并展示基准工厂和团体的一些特征。

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