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  • 标题:Optimization-based framework for technical, economic, and environmental performance assessment of CO2 utilization strategies
  • 本地全文:下载
  • 作者:Thai Ngan Do ; Hegwon Chung ; Yunjik Lee
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:7
  • 页码:412-417
  • DOI:10.1016/j.ifacol.2022.07.478
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractCarbon capture and utilization (CCU) for chemicals and fuel production is one of the effective measures addressing global warming and energy security. Since CCU utilizes harmful CO2as a raw material to produce high-value chemicals and fuels such as methanol, Fischer-Tropsch fuel, dimethyl ether, and gasoline, it mitigates CO2emission and creates more fuel availability or shares the burden on fossil fuels. This study aims to develop an optimization-based framework of CO2utilization strategies and to analyze CO2-to-fuel strategies regarding technical, economic, and environmental performance. To achieve this goal, we generated a superstructure consisting of many CO2utilization pathways, including a series of technologies (e.g., reaction/conversion, and separation and purification) for different fuel production. We then developed process simulation and estimated the key techno-economic parameters such as mass and energy flow, and sizing and costing data. The optimization models were developed to identify the optimal CO2utilization strategy and assess its feasibility with four different criteria: energy efficiency (EEF), production quantity, production cost (UPC), and net CO2emission (NCE). As a result, the proposed optimization-based framework is able to i) identify the best CO2utilization strategy over various technological pathways for targeted fuels, ii) provide a decision-making guide to policymakers and stakeholders for planning an economically viable and sustainable CO2utilization strategy.
  • 关键词:KeywordsCO2utilization superstructureCO2-based fuelsProcess designTechno-economic analysisOptimization
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