Life Cycle Greenhouse Gas Inventory of Natural Gas Extraction, Delivery and Electricity Production
Life Cycle Greenhouse Gas Inventory of Natural Gas Extraction, Delivery and Electricity Production
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DOI:
10.2172/1515238
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发表时间:
2011-10
期刊:
影响因子:
--
通讯作者:
Timothy J. Skone;James A Littlefield;J. Marriott
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文献类型:
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作者:
Timothy J. Skone;James A Littlefield;J. Marriott
Over the past 20 years, EPA has been active in attempting to determine the source of methane emissions from different industry sectors, the impact of methane emissions to the climate and how to characterize methane emissions from known industrial processes. EPA does not currently regulate methane, but does require reporting from industry in order to comply with its mandate to report total US greenhouse gas (GHG) emissions to the United Nations on a yearly basis. In addition, EPA is quickly moving to control GHGs. As part of this effort, EPA is attempting to characterize the emissions from different processes and stages of the natural gas lifecycle using emissions factors and possibly other methods. Currently most of the disagreement is about the extent of methane emissions and the impact this will have on the climate. Most of the papers below address the extent of leakage during the natural gas lifecycle. There are two main approaches that scientists and engineers take. The first approach is a bottom up modeling of the different processes in the natural gas lifecycle using, usually EPA, emissions factors. Significant concern has begun to arise, however, that the data in the bottom-up approach is based on engineering calculations and/or approximately measured volumes, and has not been comprehensively measured to verify emissions from a wide variety of wells. As such, there has been increasing attention paid to top-down modeling, which takes aggregated data, such as atmospheric methane measurements, and uses models to determine the sources of these gases. In many cases, the top-down measurements have revealed methane concentrations near gas basins that are several orders of magnitude higher than official estimates based on the bottom up approach.