Testing emissions equivalency metrics against climate policy goals

被引:11
|
作者
Edwards, Morgan R. [1 ]
McNerney, James [1 ]
Trancik, Jessika E. [1 ,2 ]
机构
[1] MIT, Inst Data Syst & Soc, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] Santa Fe Inst, 1399 Hyde Pk Rd, Santa Fe, NM 87501 USA
基金
美国国家科学基金会;
关键词
Emissions metrics; Climate change; Energy technology evaluation; GLOBAL WARMING POTENTIALS; GREENHOUSE-GAS EMISSIONS; GHG EMISSIONS; METHANE; ECONOMICS; SCENARIOS; IMPACTS; SCIENCE; COSTS;
D O I
10.1016/j.envsci.2016.08.013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The climate impacts of energy technologies are frequently assessed using equivalency metrics, which convert emissions of multiple greenhouse gases to a common scale. Numerous metrics have been proposed that incorporate, in different ways, information about the time-dependent impacts of gases. However, more focus has been placed on proposing metrics than on testing their performance in real world use cases. Here we present a testing approach that simulates how metrics would affect the selection of energy technology portfolios that comply with a CO2-equivalent emissions cap. Unintended radiative forcing outcomes can occur, emphasizing the need to test metrics in a practical context. We demonstrate the approach for policies designed to limit radiative forcing and discuss extensions to limits on temperature or economic impacts. Metric performance is evaluated by (i) how much actual radiative forcing overshoots the intended stabilization level and (ii) the level of energy consumption permitted. We use this testing approach to study a variety of metrics based on an estimated radiative forcing stabilization time under two climate policy goals. We find that these goal-inspired metrics, if chosen carefully, can exhibit performance improvements over the standard global warming potential (GWP) while maintaining its transparency and ease-of-use. These alternative metrics can significantly reduce the overshoot in radiative forcing observed with the GWP, at a small cost in energy consumption. Moreover, simple metrics can exhibit similar performance improvements to more complex ones. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:191 / 198
页数:8
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