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Bias present in US federal agency power plant CO2 emissions data and implications for the US clean power plan

机译:美国联邦机构发电厂的CO2排放数据中存在偏差以及对美国清洁能源计划的影响

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Power plants constitute roughly 40% of carbon dioxide (CO2) emissions in the United States. Climate change science, air pollution regulation, and potential carbon trading policies rely on accurate, unbiased quantification of these large point sources. Two US federal agencies—the Department of Energy and the Environmental Protection Agency—tabulate the emissions from US power plants using two different methodological approaches. We have analyzed those two data sets and have found that when averaged over all US facilities, the median percentage difference is less than 3%. However, this small difference masks large, non-Gaussian, positive and negative differences at individual facilities. For example, over the 2001–2009 time period, nearly one-half of the facilities have monthly emission differences that exceed roughly ±6% and one-fifth exceed roughly ±13%. It is currently not possible to assess whether one, or both, of the datasets examined here are responsible for the emissions difference. Differences this large at the individual facility level raise concerns regarding the operationalization of policy within the United States such as the recently announced Clean Power Plan. This policy relies on the achievement of state-level CO2 emission rate targets. When examined at the state-level we find that one-third of the states have differences that exceed 10% of their assigned reduction amount. Such levels of uncertainty raise concerns about the ability of individual states to accurately quantify emission rates in order to meet the regulatory targets.
机译:在美国,电厂约占二氧化碳(CO2)排放量的40%。气候变化科学,空气污染监管以及潜在的碳交易政策都依赖于对这些大污染源的准确,无偏的量化。美国两个联邦机构-能源部和环境保护局-用两种不同的方法将美国发电厂的排放制成表格。我们分析了这两个数据集,发现当对美国所有设施进行平均时,中位数百分比差异小于3%。但是,这种微小差异掩盖了各个设施的巨大,非高斯性的正负差异。例如,在2001-2009年期间,近一半的设施每月排放差异超过大约±6%,五分之一超过大约±13%。当前尚无法评估此处检查的一个或两个数据集是否造成了排放差异。单个设施级别的巨大差异引起了人们对美国内部政策实施的担忧,例如最近宣布的《清洁能源计划》。该政策依赖于达到州一级的二氧化碳排放率目标。在州一级进行检查时,我们发现三分之一的州的差异超过其分配减少量的10%。这种不确定性水平引起人们对各个州准确量化排放率以达到监管目标的能力的担忧。

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