Department of Energy Resources Engineering, Stanford University, Stanford, California 94305-6104, United States.
Stanford Law School, Stanford University, Stanford, California 94305, United States.
Environ Sci Technol. 2021 May 18;55(10):6571-6579. doi: 10.1021/acs.est.0c08096. Epub 2021 May 6.
Accurately quantifying greenhouse gas (GHG) emissions is essential for climate policy implementation but challenging in the case of electricity transfers across regulatory jurisdictions. Regulating emissions associated with delivered electricity is further complicated by contractual arrangements for dynamic electricity transfers that confound emission accounting approaches rooted in the physics of grid operations. Here, we propose a novel consumption-based accounting methodology to reconcile the nominal and the physical flows of electricity from generators to consumers. We also compare capacity factor-based and regression-based approaches for estimating default emission factors, in the absence of fully specified nominal electricity flows. As a case study, we apply this approach to assess the methods by which California regulators quantify specified and unspecified electricity imports and their associated GHG emissions. Collectively, these efforts illustrate principles for a comprehensive, empirical accounting framework that could inform efforts to improve the accuracy and consistency of policies regulating regional electricity transfers.
准确量化温室气体 (GHG) 排放对于气候政策的实施至关重要,但在跨越监管辖区的电力传输情况下却具有挑战性。对与输送电力相关的排放进行监管,因动态电力传输的合同安排而变得更加复杂,这些安排扰乱了基于电网运营物理原理的排放核算方法。在这里,我们提出了一种新的基于消费的核算方法,以协调从发电机到消费者的电力名义流量和实际流量。我们还比较了在缺乏完全指定的名义电力流量的情况下,基于容量因子和回归的方法来估算默认排放因子。作为一个案例研究,我们应用这种方法来评估加州监管机构量化特定和非特定电力进口及其相关温室气体排放的方法。总的来说,这些努力说明了建立一个全面的、经验性核算框架的原则,这可以为改善监管区域电力传输的政策的准确性和一致性提供信息。