Department of Engineering and Public Policy, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, USA.
Environ Sci Technol. 2012 May 1;46(9):4742-8. doi: 10.1021/es300145v. Epub 2012 Apr 16.
There is growing interest in reducing emissions from electricity generation in the United States (U.S.). Renewable energy, energy efficiency, and energy conservation are all commonly suggested solutions. Both supply- and demand-side interventions will displace energy-and emissions-from conventional generators. Marginal emissions factors (MEFs) give a consistent metric for assessing the avoided emissions resulting from such interventions. This paper presents the first systematic calculation of MEFs for the U.S. electricity system. Using regressions of hourly generation and emissions data from 2006 through 2011, we estimate regional MEFs for CO(2), NO(x), and SO(2), as well as the share of marginal generation from coal-, gas-, and oil-fired generators. Trends in MEFs with respect to system load, time of day, and month are explored. We compare marginal and average emissions factors (AEFs), finding that AEFs may grossly misestimate the avoided emissions resulting from an intervention. We find significant regional differences in the emissions benefits of avoiding one megawatt-hour of electricity: compared to the West, an equivalent energy efficiency measure in the Midwest is expected to avoid roughly 70% more CO(2), 12 times more SO(2), and 3 times more NO(x) emissions.
人们对减少美国发电的排放量越来越感兴趣。可再生能源、能源效率和能源节约都是常见的建议解决方案。供应方和需求方的干预措施都将取代传统发电机的能源和排放。边际排放因子(MEF)为评估此类干预措施所避免的排放量提供了一致的衡量标准。本文首次对美国电力系统的 MEF 进行了系统计算。利用 2006 年至 2011 年的每小时发电量和排放量数据的回归,我们估算了 CO(2)、NO(x)和 SO(2)的区域 MEF,以及煤、气和油燃烧发电机的边际发电量份额。探讨了 MEF 与系统负荷、一天中的时间和月份的关系。我们比较了边际和平均排放因子(AEF),发现 AEF 可能严重高估了干预措施所避免的排放量。我们发现避免每兆瓦时电力的排放效益存在显著的地区差异:与西部相比,中西部地区同等的能源效率措施预计将避免大约 70%的 CO(2)、12 倍以上的 SO(2)和 3 倍以上的 NO(x)排放。