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Conceptual design of full carbon upcycling of CO2 into clean DME fuel: Techno-economic assessment and process optimization
  • Gao, Ruxing ;
  • Zhang, Leiyu ;
  • Wang, Lei ;
  • Zhang, Chundong ;
  • Jun, Ki Won ;
  • Ki Kim, Seok ;
  • Zhao, Tiansheng ;
  • Wan, Hui ;
  • Guan, Guofeng
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Publication Year
2023-07-15
Publisher
Elsevier Ltd
Citation
Fuel, Vol.344
Keyword
CO2 hydrogenationDME synthesisEnvironmental analysisProcess modellingTechno-economic analysis
Mesh Keyword
Clean alternative fuelCO 2 mitigationCO2 hydrogenationDME synthesisEnvironmental analysisMitigation costsProcess optimisationProcess-modelsTechno-Economic analysisTechno-economic assessment
All Science Classification Codes (ASJC)
Chemical Engineering (all)Fuel TechnologyEnergy Engineering and Power TechnologyOrganic Chemistry
Abstract
To achieve efficient utilization of CO2 and produce clean alternative fuel, nowadays, CO2-to-DME (CTD) technology is regarded as a feasible and promising solution. Considering that there is no consensus on the techno-economic performances of the different CTD processes, it is necessary to conduct a comprehensive and systematic comparison of the existing and emerging CTD technologies and to deeply explore the influence of the process integration on technical feasibility and economic profitability. In this study, we proposed four CTD processes via different routes, namely purified methanol-mediated (Case 1), water-containing methanol-mediated (Case 2), CO-mediated (Case 3) and direct CO2 hydrogenation routes (Case 4). The rigorous system modelling and comprehensive comparison of the process performances of four cases were implemented. From the technical perspective, Case 4 has the highest energy efficiency (77.42%), exergy efficiency (88.46%), and net CO2 mitigation rate (67.71%). From the economic perspective, Case 2 has the lowest total product cost (1327.14 $/tonne DME), whereas Case 4 has the lowest net CO2 mitigation cost (589.34 $/tonne CO2). Moreover, to further enhance the system performance of Case 4, we also proposed effective improvement measures for process optimization, which shows that the net CO2 mitigation rate is enhanced by 1.94%, while the net CO2 mitigation cost is reduced by 19.79 $/tonne CO2.
ISSN
0016-2361
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33288
DOI
https://doi.org/10.1016/j.fuel.2023.128120
Fulltext

Type
Article
Funding
This work was supported by the \u201cNext Generation Carbon Upcycling Project\u201d (Project No. 2017M1A2A2043133) through the National Research Foundation (NRF) funded by the Ministry of Science and ICT, Republic of Korea. We also appreciate the Natural Science Foundation of Jiangsu Province (BK20200694, 20KJB530002, and 21KJB480014), the Jiangsu Specially-Appointed Professors Program, and the open program of the State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering (2021-K32).
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Department of Chemical Engineering
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