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Study on DSS for CCUS Source-Sink Matching

机译:CCUS源汇匹配的DSS研究

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It is a key issue to plan and design the transport pipeline network for carbon capture, utilization and storage (CCUS) in a scientific way considering the huge amount of investment. In order to analyze the CO2 transport pipeline network layout in different emission reduction scenarios, it's necessary to study the CCUS source-sink matching (SSM) problem. The paper reviewed the present research related to CCS SSM, depicting the modeling environment, tools, and optimization algorithms. CCUS SSM is often solved as a mixed integer programming (MIP) problem, while the corresponding CCUS SSM decision support system (DSS) usually consists of the development environment of geographic information system (GIS) and network optimization module. Meanwhile, this paper compared the existing CCUS SSM DSS, such as SimCCS, InfraCCS, MARKAL-NL-UU, ChinaCCUS, etc. The paper proposed further research work of the current ChinaCCUS DSS in the last part.
机译:考虑到巨额投资,计划和设计用于碳捕获,利用和储存(CCU)的运输管道网络的关键问题。为了分析不同减排场景中的CO2传输管道网络布局,有必要研究CCUS源 - 汇匹配(SSM)问题。本文综述了与CCS SSM相关的本研究,描绘了建模环境,工具和优化算法。 CCUS SSM通常被解开为混合整数编程(MIP)问题,而相应的CCU SSM决策支持系统(DSS)通常由地理信息系统(GIS)和网络优化模块的开发环境组成。同时,本文将现有的CCUSSSM DSS与SIMCC,INFACC,MARKAL-NL-UU,CHINACCU等进行了比较。本文提出了当前Chinaccus DSS的进一步研究工作。

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