Da Xu;Aoyu Hu;Chi-Seng Lam;Xiaodong Yang;Xiaolong Jin
{"title":"Cooperative Planning of Multi-Energy System and Carbon Capture, Utilization and Storage","authors":"Da Xu;Aoyu Hu;Chi-Seng Lam;Xiaodong Yang;Xiaolong Jin","doi":"10.1109/TSTE.2024.3440322","DOIUrl":null,"url":null,"abstract":"Carbon capture, utilization, and storage (CCUS) can play critical roles in transitioning to global net-zero emissions. However, existing works only focus on small-scale or local CO\n<sub>2</sub>\n utilization. For the first time, this paper proposes a cooperative planning model of multi-energy system and CCUS considering the regional CO\n<sub>2</sub>\n availability. In this model, the multi-energy system and CCUS are coupled through interconnected energy hubs. To leverage its inherent operational dispatchability and flexibility, the physicochemical and thermo-electrochemical processes of CCUS are mathematically formulated with source-sink matching analysis. The multi-energy planning is a demanding optimization challenge owing to its inherent nonconvexities and substantial energy-interest couplings. The original problem is firstly relaxed as mixed integer second-order cone programming (MISOCP) to ensure satisfactory computational efficiency. A carbon-oriented bargaining problem can then be reformulated to share the cooperative surplus, which is further decomposed into a joint investment/operation subproblem and a cost-sharing subproblem. The proposed methodology is benchmarked over interconnected energy hub systems to show its effectiveness and superiority in technical, economic, and environmental aspects.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"15 4","pages":"2718-2732"},"PeriodicalIF":8.6000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Sustainable Energy","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10631701/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Carbon capture, utilization, and storage (CCUS) can play critical roles in transitioning to global net-zero emissions. However, existing works only focus on small-scale or local CO
2
utilization. For the first time, this paper proposes a cooperative planning model of multi-energy system and CCUS considering the regional CO
2
availability. In this model, the multi-energy system and CCUS are coupled through interconnected energy hubs. To leverage its inherent operational dispatchability and flexibility, the physicochemical and thermo-electrochemical processes of CCUS are mathematically formulated with source-sink matching analysis. The multi-energy planning is a demanding optimization challenge owing to its inherent nonconvexities and substantial energy-interest couplings. The original problem is firstly relaxed as mixed integer second-order cone programming (MISOCP) to ensure satisfactory computational efficiency. A carbon-oriented bargaining problem can then be reformulated to share the cooperative surplus, which is further decomposed into a joint investment/operation subproblem and a cost-sharing subproblem. The proposed methodology is benchmarked over interconnected energy hub systems to show its effectiveness and superiority in technical, economic, and environmental aspects.
期刊介绍:
The IEEE Transactions on Sustainable Energy serves as a pivotal platform for sharing groundbreaking research findings on sustainable energy systems, with a focus on their seamless integration into power transmission and/or distribution grids. The journal showcases original research spanning the design, implementation, grid-integration, and control of sustainable energy technologies and systems. Additionally, the Transactions warmly welcomes manuscripts addressing the design, implementation, and evaluation of power systems influenced by sustainable energy systems and devices.