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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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dc.contributor.authorGao, Ruxing-
dc.contributor.authorZhang, Leiyu-
dc.contributor.authorWang, Lei-
dc.contributor.authorZhang, Chundong-
dc.contributor.authorJun, Ki Won-
dc.contributor.authorKi Kim, Seok-
dc.contributor.authorZhao, Tiansheng-
dc.contributor.authorWan, Hui-
dc.contributor.authorGuan, Guofeng-
dc.date.issued2023-07-15-
dc.identifier.issn0016-2361-
dc.identifier.urihttps://dspace.ajou.ac.kr/dev/handle/2018.oak/33288-
dc.description.abstractTo 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.-
dc.description.sponsorshipThis 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).-
dc.language.isoeng-
dc.publisherElsevier Ltd-
dc.subject.meshClean alternative fuel-
dc.subject.meshCO 2 mitigation-
dc.subject.meshCO2 hydrogenation-
dc.subject.meshDME synthesis-
dc.subject.meshEnvironmental analysis-
dc.subject.meshMitigation costs-
dc.subject.meshProcess optimisation-
dc.subject.meshProcess-models-
dc.subject.meshTechno-Economic analysis-
dc.subject.meshTechno-economic assessment-
dc.titleConceptual design of full carbon upcycling of CO2 into clean DME fuel: Techno-economic assessment and process optimization-
dc.typeArticle-
dc.citation.titleFuel-
dc.citation.volume344-
dc.identifier.bibliographicCitationFuel, Vol.344-
dc.identifier.doi10.1016/j.fuel.2023.128120-
dc.identifier.scopusid2-s2.0-85150032641-
dc.identifier.urlhttp://www.journals.elsevier.com/fuel/-
dc.subject.keywordCO2 hydrogenation-
dc.subject.keywordDME synthesis-
dc.subject.keywordEnvironmental analysis-
dc.subject.keywordProcess modelling-
dc.subject.keywordTechno-economic analysis-
dc.description.isoafalse-
dc.subject.subareaChemical Engineering (all)-
dc.subject.subareaFuel Technology-
dc.subject.subareaEnergy Engineering and Power Technology-
dc.subject.subareaOrganic Chemistry-
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