{"title":"放大三维打印多孔反应器以连续合成 2,5-二甲酰基呋喃","authors":"Dionysia Koufou, and , Simon Kuhn*, ","doi":"10.1021/acsengineeringau.3c00064","DOIUrl":null,"url":null,"abstract":"<p >The present study investigates the potential for scaling up 3D-printed porous reactors at the millimeter scale by integrating different reactor configurations in series. These reactor configurations, ranging from a single reactor (<i>N</i> = 1) to six reactors in series (<i>N</i> = 6), were evaluated for their performance in terms of axial dispersion in a gas–liquid system, with a focus on identifying potential dead zones. The scaled-up reactor systems exhibited a reduced deviation from plug flow behavior, mainly attributed to improved radial mixing maintained throughout the entire length of the porous structures. Among the various configurations tested, the scaled-up system featuring six reactors displayed the highest coefficient of variation (CoV) at approximately 24% for residence times exceeding 100 s. In all cases, the presence of stagnant zones influenced the shape of the residence time distribution (RTD) curves, although in the scaled-up system these stagnant zones did not significantly impact the overall performance or the yield of 2,5-diformylfuran (DFF). This was due to the narrow RTD and effective mass transfer between the stagnant and active flow compartments. Notably, the selectivity remained at 100%, and the highest yield of DFF (approximately 81%) was achieved for a residence time of 6.61 min in the scaled-up system. Despite introducing mass transfer limitations when operating at the millimeter scale, the scaled-up system achieved DFF productivity levels comparable to microreaction systems at significantly lower energy dissipation.</p>","PeriodicalId":29804,"journal":{"name":"ACS Engineering Au","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.3c00064","citationCount":"0","resultStr":"{\"title\":\"Scaling Up 3D-Printed Porous Reactors for the Continuous Synthesis of 2,5-Diformylfuran\",\"authors\":\"Dionysia Koufou, and , Simon Kuhn*, \",\"doi\":\"10.1021/acsengineeringau.3c00064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The present study investigates the potential for scaling up 3D-printed porous reactors at the millimeter scale by integrating different reactor configurations in series. These reactor configurations, ranging from a single reactor (<i>N</i> = 1) to six reactors in series (<i>N</i> = 6), were evaluated for their performance in terms of axial dispersion in a gas–liquid system, with a focus on identifying potential dead zones. The scaled-up reactor systems exhibited a reduced deviation from plug flow behavior, mainly attributed to improved radial mixing maintained throughout the entire length of the porous structures. Among the various configurations tested, the scaled-up system featuring six reactors displayed the highest coefficient of variation (CoV) at approximately 24% for residence times exceeding 100 s. In all cases, the presence of stagnant zones influenced the shape of the residence time distribution (RTD) curves, although in the scaled-up system these stagnant zones did not significantly impact the overall performance or the yield of 2,5-diformylfuran (DFF). This was due to the narrow RTD and effective mass transfer between the stagnant and active flow compartments. Notably, the selectivity remained at 100%, and the highest yield of DFF (approximately 81%) was achieved for a residence time of 6.61 min in the scaled-up system. Despite introducing mass transfer limitations when operating at the millimeter scale, the scaled-up system achieved DFF productivity levels comparable to microreaction systems at significantly lower energy dissipation.</p>\",\"PeriodicalId\":29804,\"journal\":{\"name\":\"ACS Engineering Au\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2023-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.3c00064\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Engineering Au\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acsengineeringau.3c00064\",\"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.3c00064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Scaling Up 3D-Printed Porous Reactors for the Continuous Synthesis of 2,5-Diformylfuran
The present study investigates the potential for scaling up 3D-printed porous reactors at the millimeter scale by integrating different reactor configurations in series. These reactor configurations, ranging from a single reactor (N = 1) to six reactors in series (N = 6), were evaluated for their performance in terms of axial dispersion in a gas–liquid system, with a focus on identifying potential dead zones. The scaled-up reactor systems exhibited a reduced deviation from plug flow behavior, mainly attributed to improved radial mixing maintained throughout the entire length of the porous structures. Among the various configurations tested, the scaled-up system featuring six reactors displayed the highest coefficient of variation (CoV) at approximately 24% for residence times exceeding 100 s. In all cases, the presence of stagnant zones influenced the shape of the residence time distribution (RTD) curves, although in the scaled-up system these stagnant zones did not significantly impact the overall performance or the yield of 2,5-diformylfuran (DFF). This was due to the narrow RTD and effective mass transfer between the stagnant and active flow compartments. Notably, the selectivity remained at 100%, and the highest yield of DFF (approximately 81%) was achieved for a residence time of 6.61 min in the scaled-up system. Despite introducing mass transfer limitations when operating at the millimeter scale, the scaled-up system achieved DFF productivity levels comparable to microreaction systems at significantly lower energy dissipation.
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)