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DOI10.1016/j.eneco.2018.04.013
Effects of technology assumptions on US power sector capacity, generation and emissions projections: Results from the EMF 32 Model Intercomparison Project
Creason, Jared R.1; Bistline, John E.2; Hodson, Elke L.3; Murray, Brian C.4; Rossmann, Charles G.5
发表日期2018-06-01
ISSN0140-9883
卷号73页码:290-306
英文摘要

This paper is one of two syntheses in this special issue of the results of the EMF 32 power sector study. This paper focuses on the effects of technology and market assumptions with projections out to 2050. A total of 15 models contributed projections based on a set of standardized scenarios. The scenarios include a range of assumptions about the price of natural gas, costs of end-use energy efficiency, retirements of nuclear power, the cost of renewable electricity, and overall electricity demand. The range of models and scenarios represent similarities and differences across a broad spectrum of analytical methods.


One similarity across almost all results from all models and scenarios is that the share of electricity generation and capacity fueled by coal shrinks over time, although the rate at which coal capacity is retired depends on the price of natural gas and the amount of electricity that is demanded. Another similarity is that the models project average increases in natural gas power generating capacity in every scenario over the 2020-2050 period, but at lower average annual rates than those that prevailed during the 2000-2015 period. The projections also include higher gas capacity utilization rates in the 2035-2050 period compared to the 2020-2050 period in every scenario, except the high gas price sensitivity. Renewables capacity is also projected to increase in every scenario, although the annual new capacity varies from modest rates below the observed 2000-2015 wind and solar average to rates more than 3 times that high. Model estimates of CO2 emissions largely follow from the trends in generation. Low renewables cost and low gas prices both result in lower overall CO2 emission rates relative to the 2020-2035 and 2035-2050 reference. Both limited nudear lifetimes and higher demand result in increased CO2 emissions. (C) 2018 Elsevier B.V. All rights reserved.


英文关键词Technology;Electric sector;Energy-economic modeling;Model intercomparison
语种英语
WOS记录号WOS:000438000600022
来源期刊ENERGY ECONOMICS
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/60554
作者单位1.US EPA, 1200 Penn Ave,Mail Code 6207J, Washington, DC 20460 USA;
2.Elect Power Res Inst, 3420 Hillview Ave, Palo Alto, CA 94304 USA;
3.US DOE, 1000 Independence Ave, Washington, DC 20585 USA;
4.Duke Univ, Energy Initiat & Nicholas Inst Environm Policy So, Box 90335, Durham, NC 27708 USA;
5.Southern Co, 600 N 18th St, Birmingham, AL 35203 USA
推荐引用方式
GB/T 7714
Creason, Jared R.,Bistline, John E.,Hodson, Elke L.,et al. Effects of technology assumptions on US power sector capacity, generation and emissions projections: Results from the EMF 32 Model Intercomparison Project[J]. 美国环保署,2018,73:290-306.
APA Creason, Jared R.,Bistline, John E.,Hodson, Elke L.,Murray, Brian C.,&Rossmann, Charles G..(2018).Effects of technology assumptions on US power sector capacity, generation and emissions projections: Results from the EMF 32 Model Intercomparison Project.ENERGY ECONOMICS,73,290-306.
MLA Creason, Jared R.,et al."Effects of technology assumptions on US power sector capacity, generation and emissions projections: Results from the EMF 32 Model Intercomparison Project".ENERGY ECONOMICS 73(2018):290-306.
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