Stranded on a low-carbon planet: Implications of climate policy for the phase-out of coal-based power plants

被引:122
作者
Johnson, Nils [1 ]
Krey, Volker [1 ]
McCollum, David L. [1 ]
Rao, Shilpa [1 ]
Riahi, Keywan [1 ,2 ]
Rogelj, Joeri [1 ,3 ]
机构
[1] Int Inst Appl Syst Anal, Energy Program, A-2361 Laxenburg, Austria
[2] Graz Univ Technol, A-8010 Graz, Austria
[3] Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
关键词
Integrated assessment modeling; Near-term climate policy; Coal-based electricity generation without CCS; Premature retirement; Stranded capacity; CCS retrofit; ATMOSPHERE-OCEAN; SIMPLER MODEL; CYCLE MODELS; SCENARIOS;
D O I
10.1016/j.techfore.2014.02.028
中图分类号
F [经济];
学科分类号
02 ;
摘要
Limiting global warming to 2 degrees C will likely entail the complete phase-out of coal-based electricity generation without carbon capture and storage (CCS). The timing and rate of this phase-out will depend on the stringency of near-term climate policy and will have important implications for the stranding of coal power plant capacity without CCS. The objectives of this paper are to better understand the relationship between near-term climate policy and stranded coal capacity (assuming a long-term goal of limiting warming to 2 degrees C) and to explore strategies for reducing stranded capacity. Our analysis suggests that strengthening near-term climate policy (i.e., lowering the global greenhouse gas emission target in 2030) generally reduces stranded coal capacity and its costs. An effective strategy for reducing stranded capacity is to minimize new construction of coal capacity without CCS, which can be accomplished by reducing electricity demand through energy intensity improvements and/or by keeping existing plants operating through lifetime extensions. Another strategy, providing emission exemptions for pre-existing coal plants (i.e., grandfathering), would eliminate stranded capacity, but also decreases the likelihood of achieving the 2 degrees C target. Finally, the ability of CCS retrofits to significantly reduce stranded capacity depends on how quickly the technology can be deployed. (C) 2014 The Authors. Published by Elsevier Inc.
引用
收藏
页码:89 / 102
页数:14
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