标题:CO2 Pipeline Transportation System Optimization Design Based on Multiple Population Genetic Algorithm
作者:Tian, Qunhong ;Sun, Aiqin ;Shi, Kan ;Wang, Fengde
通讯作者:Tian, Qunhong
作者机构:[Tian, Qunhong ;Sun, Aiqin ;Shi, Kan ;Wang, Fengde ] College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, 更多
会议名称:11th International Conference on Modelling, Identification and Control, ICMIC 2019
会议日期:July 13, 2019 - July 15, 2019
来源:Lecture Notes in Electrical Engineering
出版年:2020
卷:582
页码:643-651
DOI:10.1007/978-981-15-0474-7_60
摘要:Carbon capture, transport, utilization and storage (CCUS) technology is an effective way to reduce the carbon emissions. CO2 transportation system is an important link between the capture source and storage sites, whose cost cannot be neglected. In order to realize the optimization design problem of CO2 pipeline transportation, levelized cost is given as the optimization objective, this paper establishes an optimization model of CO2 pipeline transportation, which is solved by using multiple population genetic algorithm (MPGA). Simulation results indicate the effectiveness of the proposed optimization method for CO2 pipeline transportation.
© 2020, Springer Nature Singapore Pte Ltd.
收录类别:EI
资源类型:会议论文
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