Economic-emission dispatch problem in a biomass-coal co-firing CCHP system based on natural gas deep peak-shaving and carbon capture technologies

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jinliang Zhang, Zeping Hu
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引用次数: 0

Abstract

Driven by the carbon peaking and carbon neutrality goals, the multi-energy coupling relationship of the combined cooling heat and power (CCHP) system is more complex than before, and the green and low-carbon transformation of energy needs to be promoted. Hence, this paper proposes a biomass-coal co-firing CCHP system based on natural gas deep peak-shaving and carbon capture technologies. Firstly, a deep peak-shaving model of the hydrogen gas turbine is established. Furthermore, the impact of deep peak-shaving cost allocation and compensation mechanism on the system is analyzed. Secondly, a biomass-coal co-firing model with carbon capture is constructed to reduce the carbon emission of the system. Thirdly, a heat-electric-cold demand coupling response model is set to accurately describe the coupled response relationship of various types of loads in response to an increase in the price of electricity. Finally, a low-carbon economic dispatch model of a biomass-coal co-firing CCHP system based on gas deep peak-shaving and carbon capture is constructed to minimize the total system operation cost, and the effectiveness of the model is verified by arithmetic examples. The results show that the proposed strategy can improve the economy, low carbon, and energy efficiency of the co-dispatch of the integrated energy system (IES).
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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