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Technical efficiency and CO2 reduction potentials - An analysis of the German electricity and heat generating sector

机译:技术效率和二氧化碳减排潜力-对德国电力和热力发电行业的分析

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In this paper, we analyze the technical efficiency and CO2 reduction potentials of German power and heat plants, using a non-parametric sequential Data Envelopment Analysis. We apply a metafrontier framework to evaluate plant-level efficiency in the transformation of inputs into desirable (energy) and undesirable (CO2 emissions) outputs, taking into account different fossil fuel generation technologies. We use a unique data set of coal-, lignite-, gas- and biomass-fired power plants from 2003 through 2010 that provides an unbalanced panel of 1459 observations; the results are also checked against a balanced panel with a smaller number of observations. Although we find intra-group differences within energy generation technology, natural gas fired power plants clearly have the highest efficiency. Furthermore, the analysis points to significant savings potentials for CO2 and fuel-input, and derives policy conclusions for the ongoing electricity sector reformation. (C) 2016 Elsevier B.V. All rights reserved.
机译:在本文中,我们使用非参数顺序数据包络分析法分析了德国发电厂和热电厂的技术效率和二氧化碳减排潜力。考虑到不同的化石燃料发电技术,我们应用了元边界框架来评估将输入转化为理想的(能源)和不良的(CO2排放)输出的工厂级效率。我们使用从2003年到2010年的煤,褐煤,天然气和生物质电厂的独特数据集,该数据集提供了1459个观测值的不平衡面板。还可以在观察值较少的平衡面板上检查结果。尽管我们发现能源发电技术存在集团内部差异,但天然气发电厂显然具有最高的效率。此外,分析指出了二氧化碳和燃料投入的巨大节省潜力,并为正在进行的电力部门改革得出了政策结论。 (C)2016 Elsevier B.V.保留所有权利。

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