{"title":"利用 cfd 模拟和优化方法对固定催化剂光催化反应器处理新污染物水的性能分析","authors":"","doi":"10.1016/j.cep.2024.110016","DOIUrl":null,"url":null,"abstract":"<div><div>An annular labyrinth photocatalytic reactor design was optimized to degrade water emerging pollutants by combining CFD modeling and a Box-Benken experimental design with the desirability function method for the optimization. The optimization was performed by minimizing the pollutant degradation time and the reactor operational cost, varying three factors in the experimental design, the fins number in the labyrinth, the thickness of the annular region, and the solution transmittance. The range of variation levels was 5 to 9, 5 mm to 25 mm, and 35 % to 95 % respectively. The intrinsic kinetic model of the salicylic acid degradation used in CFD simulations takes into account the variations of pollutant concentration and light intensity. Results showed that the transmittance was the most significant factor in minimizing both degradation time and energy cost, followed by the annular reactor thickness and the fins number. The desirability method showed that the combination of the optimized reactor levels was 9 fins, thickness of 25 mm, and transmittance of 95 %. To verify the efficiency gain of the optimized reactor, it was compared the degradation time and the energy cost of the optimized reactor with a conventional annular reactor. The efficiency gain was about 53 %.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance analysis of photocatalytic reactor with immobilized catalyst for emerging pollutants water treatment using cfd simulation and optimization method\",\"authors\":\"\",\"doi\":\"10.1016/j.cep.2024.110016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>An annular labyrinth photocatalytic reactor design was optimized to degrade water emerging pollutants by combining CFD modeling and a Box-Benken experimental design with the desirability function method for the optimization. The optimization was performed by minimizing the pollutant degradation time and the reactor operational cost, varying three factors in the experimental design, the fins number in the labyrinth, the thickness of the annular region, and the solution transmittance. The range of variation levels was 5 to 9, 5 mm to 25 mm, and 35 % to 95 % respectively. The intrinsic kinetic model of the salicylic acid degradation used in CFD simulations takes into account the variations of pollutant concentration and light intensity. Results showed that the transmittance was the most significant factor in minimizing both degradation time and energy cost, followed by the annular reactor thickness and the fins number. The desirability method showed that the combination of the optimized reactor levels was 9 fins, thickness of 25 mm, and transmittance of 95 %. To verify the efficiency gain of the optimized reactor, it was compared the degradation time and the energy cost of the optimized reactor with a conventional annular reactor. The efficiency gain was about 53 %.</div></div>\",\"PeriodicalId\":9929,\"journal\":{\"name\":\"Chemical Engineering and Processing - Process Intensification\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Engineering and Processing - Process Intensification\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0255270124003544\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering and Processing - Process Intensification","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0255270124003544","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Performance analysis of photocatalytic reactor with immobilized catalyst for emerging pollutants water treatment using cfd simulation and optimization method
An annular labyrinth photocatalytic reactor design was optimized to degrade water emerging pollutants by combining CFD modeling and a Box-Benken experimental design with the desirability function method for the optimization. The optimization was performed by minimizing the pollutant degradation time and the reactor operational cost, varying three factors in the experimental design, the fins number in the labyrinth, the thickness of the annular region, and the solution transmittance. The range of variation levels was 5 to 9, 5 mm to 25 mm, and 35 % to 95 % respectively. The intrinsic kinetic model of the salicylic acid degradation used in CFD simulations takes into account the variations of pollutant concentration and light intensity. Results showed that the transmittance was the most significant factor in minimizing both degradation time and energy cost, followed by the annular reactor thickness and the fins number. The desirability method showed that the combination of the optimized reactor levels was 9 fins, thickness of 25 mm, and transmittance of 95 %. To verify the efficiency gain of the optimized reactor, it was compared the degradation time and the energy cost of the optimized reactor with a conventional annular reactor. The efficiency gain was about 53 %.
期刊介绍:
Chemical Engineering and Processing: Process Intensification is intended for practicing researchers in industry and academia, working in the field of Process Engineering and related to the subject of Process Intensification.Articles published in the Journal demonstrate how novel discoveries, developments and theories in the field of Process Engineering and in particular Process Intensification may be used for analysis and design of innovative equipment and processing methods with substantially improved sustainability, efficiency and environmental performance.