干旱区生态环境知识资源中心(Arid): A data-driven approach to investigate the impact of air temperature on the efficiencies of coal and natural gas generators

Arid

DOI	10.1016/j.apenergy.2019.113486
	A data-driven approach to investigate the impact of air temperature on the efficiencies of coal and natural gas generators
	Meng, Measrainsey; Sanders, Kelly T.
通讯作者	Sanders, Kelly T.
来源期刊	APPLIED ENERGY
ISSN	0306-2619
EISSN	1872-9118
出版年	2019
卷号	253
英文摘要	The efficiency of a thermoelectric generator is dependent on a number of operational and climatic variables, including ambient air temperature. To date, there has not been a data-driven analysis of the impacts of climate variability on electricity generator performance that includes a statistically representative set of generators. This study develops regression models to estimate changes in the efficiencies of over one thousand coal and natural gas generators as a function of ambient air temperature and operational variables, across different fuel types, prime movers, cooling systems, and climate zones during the years ranging from 2008 to 2017. The efficiencies of generators with dry cooling, particularly those in hot and dry climates, demonstrated the greatest sensitivity to increases in ambient temperature. Results for generators utilizing wet cooling systems were largely inconclusive, most likely because other factors, such as cooling water temperature, are better predictors of efficiency. Natural gas combustion generator efficiencies exhibit large sensitivities to rises in air temperature in theoretical models but had a counterintuitive trend in our findings, where losses were relatively small in the hottest and driest climates. This result is likely due to the fact that natural gas combustion generators in hot and arid regions often utilize inlet air cooling technologies to reduce the temperature of ambient air before it enters the compressor, thereby mitigating efficiency losses. The analytical framework developed offers generalized methods for cleaning, processing, and merging federally available electricity generation and climate datasets to increase their value in future studies.
英文关键词	Electricity generation Thermal power plants Regression analysis Data analytics Generator efficiency Climate variability
类型	Article
语种	英语
国家	USA
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000497971400007
WOS关键词	AMBIENT-TEMPERATURE ; UNITED-STATES ; POWER-PLANTS ; TURBINE ; CLIMATE ; PERFORMANCE ; ADAPTATION
WOS类目	Energy & Fuels ; Engineering, Chemical
WOS研究方向	Energy & Fuels ; Engineering
EI主题词	2019-11-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310708
作者单位	Univ Southern Calif, Sonny Astani Dept Civil & Environm Engn, Los Angeles, CA 90089 USA
推荐引用方式 GB/T 7714	Meng, Measrainsey,Sanders, Kelly T.. A data-driven approach to investigate the impact of air temperature on the efficiencies of coal and natural gas generators[J],2019,253.
APA	Meng, Measrainsey,&Sanders, Kelly T..(2019).A data-driven approach to investigate the impact of air temperature on the efficiencies of coal and natural gas generators.APPLIED ENERGY,253.
MLA	Meng, Measrainsey,et al."A data-driven approach to investigate the impact of air temperature on the efficiencies of coal and natural gas generators".APPLIED ENERGY 253(2019).