Zeinab Ataya, Mohamed Challiwala, Gasim Ibrahim, Hanif A. Choudhury, Mahmoud M. El-Halwagi and Nimir O. Elbashir*,
{"title":"利用先进的甲烷重整工艺实现气液化 (GTL) 过程的去碳化","authors":"Zeinab Ataya, Mohamed Challiwala, Gasim Ibrahim, Hanif A. Choudhury, Mahmoud M. El-Halwagi and Nimir O. Elbashir*, ","doi":"10.1021/acsengineeringau.3c00025","DOIUrl":null,"url":null,"abstract":"<p >The gas-to-liquid (GTL) process is a promising technology for converting natural gas into synthetic fuels and chemicals. However, its high carbon dioxide (CO<sub>2</sub>) emissions present significant challenges. Methane reforming contributes up to 60% of GTL’s CO<sub>2</sub> emissions, necessitating decarbonization. Dry reforming of methane (DRM) shows potential for CO<sub>2</sub> conversion. Still, it faces challenges such as high energy requirements, catalyst deactivation, and an incompatible hydrogen-to-carbon monoxide (H<sub>2</sub>/CO) ratio for GTL processing, requiring extensive research. A previous study proposed a two-reactor system known as CARGEN that co-produces solid carbon (in the form of multiwalled carbon nanotubes [MWCNTs]) and syngas, reducing CO<sub>2</sub> emissions by 40% compared to the benchmark autothermal reforming (ATR) process through life cycle assessment (LCA) studies. This paper presents a comprehensive simulation of the advanced DRM process used to retrofit an existing ATR-based GTL plant─initially, a 50,000 bbl./day ATR-based GTL plant is simulated. The advanced reformer process replaces ATR through retrofitting. Comparative analysis shows a remarkable 73% reduction in net CO<sub>2</sub> emissions and the potential coproduction of 243 kg of MWCNTs per barrel of syncrude, equivalent to 12,150 tons/day of MWCNTs. However, the advanced reformer-based GTL plant requires 61% more natural gas feedstock while utilizing 79% less oxygen than the ATR-based plant. Furthermore, a separate techno-economic analysis examines the advanced reformer-based GTL plant based on a calculation for 13,100 tons/day of CO<sub>2</sub> feedstock to co-produce 3,277 tons/day of MWCNTs and 50,000 barrels/day of syncrude. This analysis, considering a 25% tax rate, 25-year plant life, and zero salvage value, demonstrates an attractive 10-year payback period at selling prices of 80 USD/bbl. for syncrude and 10 USD/kg for MWCNTs. These results provide a process system-level perspective, showcasing the advanced reformer-based GTL plant (CARGEN Process) as an effective solution for low-carbon GTL production.</p>","PeriodicalId":29804,"journal":{"name":"ACS Engineering Au","volume":"4 1","pages":"99–111"},"PeriodicalIF":4.3000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.3c00025","citationCount":"0","resultStr":"{\"title\":\"Decarbonizing the Gas-to-Liquid (GTL) Process Using an Advanced Reforming of Methane Process\",\"authors\":\"Zeinab Ataya, Mohamed Challiwala, Gasim Ibrahim, Hanif A. Choudhury, Mahmoud M. El-Halwagi and Nimir O. Elbashir*, \",\"doi\":\"10.1021/acsengineeringau.3c00025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The gas-to-liquid (GTL) process is a promising technology for converting natural gas into synthetic fuels and chemicals. However, its high carbon dioxide (CO<sub>2</sub>) emissions present significant challenges. Methane reforming contributes up to 60% of GTL’s CO<sub>2</sub> emissions, necessitating decarbonization. Dry reforming of methane (DRM) shows potential for CO<sub>2</sub> conversion. Still, it faces challenges such as high energy requirements, catalyst deactivation, and an incompatible hydrogen-to-carbon monoxide (H<sub>2</sub>/CO) ratio for GTL processing, requiring extensive research. A previous study proposed a two-reactor system known as CARGEN that co-produces solid carbon (in the form of multiwalled carbon nanotubes [MWCNTs]) and syngas, reducing CO<sub>2</sub> emissions by 40% compared to the benchmark autothermal reforming (ATR) process through life cycle assessment (LCA) studies. This paper presents a comprehensive simulation of the advanced DRM process used to retrofit an existing ATR-based GTL plant─initially, a 50,000 bbl./day ATR-based GTL plant is simulated. The advanced reformer process replaces ATR through retrofitting. Comparative analysis shows a remarkable 73% reduction in net CO<sub>2</sub> emissions and the potential coproduction of 243 kg of MWCNTs per barrel of syncrude, equivalent to 12,150 tons/day of MWCNTs. However, the advanced reformer-based GTL plant requires 61% more natural gas feedstock while utilizing 79% less oxygen than the ATR-based plant. Furthermore, a separate techno-economic analysis examines the advanced reformer-based GTL plant based on a calculation for 13,100 tons/day of CO<sub>2</sub> feedstock to co-produce 3,277 tons/day of MWCNTs and 50,000 barrels/day of syncrude. This analysis, considering a 25% tax rate, 25-year plant life, and zero salvage value, demonstrates an attractive 10-year payback period at selling prices of 80 USD/bbl. for syncrude and 10 USD/kg for MWCNTs. These results provide a process system-level perspective, showcasing the advanced reformer-based GTL plant (CARGEN Process) as an effective solution for low-carbon GTL production.</p>\",\"PeriodicalId\":29804,\"journal\":{\"name\":\"ACS Engineering Au\",\"volume\":\"4 1\",\"pages\":\"99–111\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.3c00025\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Engineering Au\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acsengineeringau.3c00025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Engineering Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsengineeringau.3c00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Decarbonizing the Gas-to-Liquid (GTL) Process Using an Advanced Reforming of Methane Process
The gas-to-liquid (GTL) process is a promising technology for converting natural gas into synthetic fuels and chemicals. However, its high carbon dioxide (CO2) emissions present significant challenges. Methane reforming contributes up to 60% of GTL’s CO2 emissions, necessitating decarbonization. Dry reforming of methane (DRM) shows potential for CO2 conversion. Still, it faces challenges such as high energy requirements, catalyst deactivation, and an incompatible hydrogen-to-carbon monoxide (H2/CO) ratio for GTL processing, requiring extensive research. A previous study proposed a two-reactor system known as CARGEN that co-produces solid carbon (in the form of multiwalled carbon nanotubes [MWCNTs]) and syngas, reducing CO2 emissions by 40% compared to the benchmark autothermal reforming (ATR) process through life cycle assessment (LCA) studies. This paper presents a comprehensive simulation of the advanced DRM process used to retrofit an existing ATR-based GTL plant─initially, a 50,000 bbl./day ATR-based GTL plant is simulated. The advanced reformer process replaces ATR through retrofitting. Comparative analysis shows a remarkable 73% reduction in net CO2 emissions and the potential coproduction of 243 kg of MWCNTs per barrel of syncrude, equivalent to 12,150 tons/day of MWCNTs. However, the advanced reformer-based GTL plant requires 61% more natural gas feedstock while utilizing 79% less oxygen than the ATR-based plant. Furthermore, a separate techno-economic analysis examines the advanced reformer-based GTL plant based on a calculation for 13,100 tons/day of CO2 feedstock to co-produce 3,277 tons/day of MWCNTs and 50,000 barrels/day of syncrude. This analysis, considering a 25% tax rate, 25-year plant life, and zero salvage value, demonstrates an attractive 10-year payback period at selling prices of 80 USD/bbl. for syncrude and 10 USD/kg for MWCNTs. These results provide a process system-level perspective, showcasing the advanced reformer-based GTL plant (CARGEN Process) as an effective solution for low-carbon GTL production.
期刊介绍:
)ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)