Department of Engineering and Public Policy, Carnegie Mellon University, Baker Hall 129, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States.
Environ Sci Technol. 2011 Oct 1;45(19):8197-203. doi: 10.1021/es2016236. Epub 2011 Sep 8.
Employing life cycle greenhouse gas (GHG) emissions as a key performance metric in energy and environmental policy may underestimate actual climate change impacts. Emissions released early in the life cycle cause greater cumulative radiative forcing (CRF) over the next decades than later emissions. Some indicate that ignoring emissions timing in traditional biofuel GHG accounting overestimates the effectiveness of policies supporting corn ethanol by 10-90% due to early land use change (LUC) induced GHGs. We use an IPCC climate model to (1) estimate absolute CRF from U.S. corn ethanol and (2) quantify an emissions timing factor (ETF), which is masked in the traditional GHG accounting. In contrast to earlier analyses, ETF is only 2% (5%) over 100 (50) years of impacts. Emissions uncertainty itself (LUC, fuel production period) is 1-2 orders of magnitude higher, which dwarfs the timing effect. From a GHG accounting perspective, emissions timing adds little to our understanding of the climate impacts of biofuels. However, policy makers should recognize that ETF could significantly decrease corn ethanol's probability of meeting the 20% GHG reduction target in the 2007 Energy Independence and Security Act. The added uncertainty of potentially employing more complex emissions metrics is yet to be quantified.
在能源和环境政策中,将生命周期温室气体 (GHG) 排放用作关键绩效指标,可能会低估实际气候变化的影响。生命周期早期排放的温室气体在未来几十年内造成的累积辐射强迫 (CRF) 比后期排放的温室气体更大。一些人认为,由于早期土地利用变化 (LUC) 引起的温室气体,传统生物燃料 GHG 核算中忽略排放时间会高估支持玉米乙醇政策的有效性 10-90%。我们使用 IPCC 气候模型来:(1) 估算美国玉米乙醇的绝对 CRF;(2) 量化排放时间因素 (ETF),这在传统 GHG 核算中被掩盖了。与早期的分析相比,ETF 在 100 (50) 年的影响期内仅高出 2% (5%)。排放不确定性本身 (LUC、燃料生产期) 高 1-2 个数量级,这使时间效应相形见绌。从 GHG 核算的角度来看,排放时间因素对我们理解生物燃料对气候变化的影响作用不大。然而,政策制定者应该认识到,ETF 可能会显著降低玉米乙醇在 2007 年《能源独立和安全法案》中达到 20%温室气体减排目标的可能性。潜在使用更复杂排放指标的额外不确定性尚未量化。