NorthStar Initiative for Sustainable Enterprise, Institute on the Environment, University of Minnesota , 325 Learning and Environmental Sciences, 1954 Buford Avenue, Saint Paul, Minnesota 55108, United States.
Sustainable Systems Management, Department of Byproducts & Biosystems Engineering, University of Minnesota , 1390 Eckles Ave., Saint Paul, Minnesota 55108, United States.
Environ Sci Technol. 2017 Oct 3;51(19):11215-11223. doi: 10.1021/acs.est.7b00034. Epub 2017 Sep 19.
Estimates of marginal emission factors (MEFs) for the electricity sector have focused on emitting sources only, assuming nonemitting renewables rarely contribute to marginal generation. However, with increased penetration and improved dispatch of renewables, this assumption may be outdated. Here, we improve the methodology to incorporate renewables in MEF estimates and demonstrate a case study for the Midcontinent Independent System Operator (MISO) system where wind has been commonly dispatched on the margin. We also illustrate spatiotemporal variations of MEFs and explore implications for energy storage technologies. Results show that because the share of renewables in MISO is still relatively low (6.34%), conventional MEFs focused on emitting sources can provide a good estimate in MISO overall, as well as in the Central and South subregions. However, in the MISO North subregion where wind provides 22.5% of grid generation, neglecting nonemitting sources can overestimate MEFs for CO, SO, and NO by about 30%. The application of expanded MEFs in this case also reveals heightened emission increases associated with load shifting of storage technologies. Our study highlights the importance of expanded MEFs in regions with high and growing renewables penetration, particularly as renewable energy policy seeks to incorporate demand-side technologies.
边际排放因子(MEF)的估算一直集中在排放源上,假设非排放可再生能源很少对边际发电产生贡献。然而,随着可再生能源渗透率的提高和调度的改善,这种假设可能已经过时。在这里,我们改进了方法,将可再生能源纳入 MEF 估算,并以中西部独立系统运营商(MISO)系统为例进行了案例研究,该系统中风力通常在边际上进行调度。我们还展示了 MEF 的时空变化,并探讨了其对储能技术的影响。结果表明,由于 MISO 中可再生能源的份额仍然相对较低(6.34%),因此,专注于排放源的传统 MEF 可以为 MISO 整体以及中南部地区提供一个很好的估计。然而,在 MISO 北部地区,风力提供了电网发电的 22.5%,忽略非排放源可能会使 CO、SO 和 NO 的 MEF 高估约 30%。在这种情况下,扩展 MEF 的应用还揭示了与储能技术负荷转移相关的排放增加。我们的研究强调了在可再生能源渗透率高且不断提高的地区采用扩展 MEF 的重要性,特别是在可再生能源政策寻求纳入需求侧技术的情况下。