Multi-energy coupling analysis and optimal scheduling of regional integrated energy system

doi:10.1016/j.energy.2022.124482

	Multi-energy coupling analysis and optimal scheduling of regional integrated energy system
	Wang, Jianhui 1; Mao, Jiangwei 2; Hao, Ruhai 3; Li, Shoudong 1; Bao, Guangqing 1
刊名	ENERGY
	2022-09-01
卷号	254
关键词	Power-to-gas Hydrogen fuel cell Carbon capture system Integrated energy system Low-carbon economy
ISSN号	0360-5442
DOI	10.1016/j.energy.2022.124482
英文摘要	Two novel integrated models for power-to-gas (P2G) with carbon capture system (CCS) and hydrogen fuel cell (HFC) are proposed to further reduce the carbon emission of the integrated energy system (IES). First, a joint operation framework on the strength of P2G with CCS and HFC (PCH) is proposed. Then, based on PCH, two modeling and analysis methods of 'setting gas with heat (SGWH)' and 'setting energy with carbon (SEWC)' are proposed, under which two new integration models are established PCH under the SGWH (PCH_SGWH) and PCH under the SEWC (PCH_SEWC), and their electricity, heat, gas, and carbon coupling characteristics are analyzed. Finally, coupled with combined heat and power (CHP), gas boiler (GB), and energy storage (ES), an IES low-carbon economic dispatch model considering a carbon trading mechanism is constructed. The contribution of PCH and PCH_SGWH and PCH_SEWC to low-carbon operation is compared and verified by setting multiple operational scenarios. The simulation results show that compared with IES without PCH, IES with PCH_SGWH, and IES with PCH_SEWC can comprehensively improve the low-carbon economy of IES from the perspectives of wind power ab-sorption, carbon generation, emission, and operating cost. Among them, IES with PCH_SEWC shows better performance, which can increase the wind power absorption rate by 21.96%, reduce carbon pro-duction and carbon emissions by 21.25% and 64.4%, and reduce operating costs by 44.7%. (C) 2022 Elsevier Ltd. All rights reserved.
WOS研究方向	Thermodynamics ; Energy & Fuels
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000816893000002
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158922]
专题	电气工程与信息工程学院
作者单位	1.Lanzhou Univ Technol, Lanzhou 730050, Peoples R China; 2.Northeastern Univ, Boston, MA 02115 USA; 3.State Grid Gansu Elect Power Co Ltd, Gansu Elect Power Res Inst, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jianhui,Mao, Jiangwei,Hao, Ruhai,et al. Multi-energy coupling analysis and optimal scheduling of regional integrated energy system[J]. ENERGY,2022,254.
APA	Wang, Jianhui,Mao, Jiangwei,Hao, Ruhai,Li, Shoudong,&Bao, Guangqing.(2022).Multi-energy coupling analysis and optimal scheduling of regional integrated energy system.ENERGY,254.
MLA	Wang, Jianhui,et al."Multi-energy coupling analysis and optimal scheduling of regional integrated energy system".ENERGY 254(2022).