Process control and optimization have been widely used to solve decision-making problems in chemical engineering applications. However, identifying and tuning the best solution algorithm is challenging and time-consuming. Machine learning tools can be used to automate these steps by learning the behavior of a numerical solver from data. In this paper, we discuss recent advances in (i) the representation of decision-making problems for machine learning tasks, (ii) algorithm selection, and (iii) algorithm configuration for monolithic and decomposition-based algorithms. Finally, we discuss open problems related to the application of machine learning for accelerating process optimization and control.
{"title":"Accelerating process control and optimization via machine learning","authors":"Ilias Mitrai, Prodromos Daoutidis","doi":"10.1515/revce-2024-0060","DOIUrl":"https://doi.org/10.1515/revce-2024-0060","url":null,"abstract":"Process control and optimization have been widely used to solve decision-making problems in chemical engineering applications. However, identifying and tuning the best solution algorithm is challenging and time-consuming. Machine learning tools can be used to automate these steps by learning the behavior of a numerical solver from data. In this paper, we discuss recent advances in (i) the representation of decision-making problems for machine learning tasks, (ii) algorithm selection, and (iii) algorithm configuration for monolithic and decomposition-based algorithms. Finally, we discuss open problems related to the application of machine learning for accelerating process optimization and control.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"32 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143599692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tomy Muringayil Joseph, Seitkhan Azat, Ehsan Kianfar, Kunnelveli S. Joshy, Omid Moini Jazani, Amin Esmaeili, Zahed Ahmadi, Józef Haponiuk, Sabu Thomas
Epoxy foam/aerogel materials (EP-AGs) have potential in the aerospace, construction, and energy industries, allowing the development of lightweight high-performance products for a wide range of applications. Research interest in developing EP-AGs is increasing as it has the potential to create greener and more sustainable materials for making various products. Several commercial applications of EP-AGs and techniques for creating, processing, and drying them have already been reported. The introduction of EP-AGs into value-added materials is one of the most promising options but suffers from a lack of knowledge about the relationships between microstructure and properties. The current obstacles to their use in the industrial sector and for applications and challenges related to factory scale-up are also taken into account. EP-AGs are hindered by critical gaps in applicational and processing complexity, such as scaling up from laboratory to large-scale production, optimizing synthesis and processing techniques, and developing standardized testing protocols. The review focuses on the processing complexities and further difficulties associated with EP-AGs to improve casting burdens, cost-effectiveness, and accessibility in various applications. This review also examines the challenges in synthesizing EP-AGs used to make special materials, their practices, and the technological barriers one would face.
{"title":"Identifying gaps in practical use of epoxy foam/aerogels: review - solutions and prospects","authors":"Tomy Muringayil Joseph, Seitkhan Azat, Ehsan Kianfar, Kunnelveli S. Joshy, Omid Moini Jazani, Amin Esmaeili, Zahed Ahmadi, Józef Haponiuk, Sabu Thomas","doi":"10.1515/revce-2024-0044","DOIUrl":"https://doi.org/10.1515/revce-2024-0044","url":null,"abstract":"Epoxy foam/aerogel materials (EP-AGs) have potential in the aerospace, construction, and energy industries, allowing the development of lightweight high-performance products for a wide range of applications. Research interest in developing EP-AGs is increasing as it has the potential to create greener and more sustainable materials for making various products. Several commercial applications of EP-AGs and techniques for creating, processing, and drying them have already been reported. The introduction of EP-AGs into value-added materials is one of the most promising options but suffers from a lack of knowledge about the relationships between microstructure and properties. The current obstacles to their use in the industrial sector and for applications and challenges related to factory scale-up are also taken into account. EP-AGs are hindered by critical gaps in applicational and processing complexity, such as scaling up from laboratory to large-scale production, optimizing synthesis and processing techniques, and developing standardized testing protocols. The review focuses on the processing complexities and further difficulties associated with EP-AGs to improve casting burdens, cost-effectiveness, and accessibility in various applications. This review also examines the challenges in synthesizing EP-AGs used to make special materials, their practices, and the technological barriers one would face.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"24 1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143538503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ionizing radiation offers unique opportunities for addressing critical challenges in the oil industry, including efficient hydrocarbon processing and environmental remediation. This review highlights the diverse applications of ionizing radiation in oil-related processes, such as cracking, polymerization, desulfurization, and the treatment of oilfield-produced wastewater. By synthesizing findings from recent studies, this paper emphasizes the advantages of radiation technologies in enhancing process efficiency, reducing environmental impact, and supporting sustainable energy production. The necessity of this review lies in bridging knowledge gaps, identifying emerging trends, and fostering the broader adoption of advanced radiation-based technologies in the oil sector.
{"title":"Applications of ionizing irradiation in oil industry: a review","authors":"Ali Taheri, Seyed Pezhman Shirmardi","doi":"10.1515/revce-2024-0072","DOIUrl":"https://doi.org/10.1515/revce-2024-0072","url":null,"abstract":"Ionizing radiation offers unique opportunities for addressing critical challenges in the oil industry, including efficient hydrocarbon processing and environmental remediation. This review highlights the diverse applications of ionizing radiation in oil-related processes, such as cracking, polymerization, desulfurization, and the treatment of oilfield-produced wastewater. By synthesizing findings from recent studies, this paper emphasizes the advantages of radiation technologies in enhancing process efficiency, reducing environmental impact, and supporting sustainable energy production. The necessity of this review lies in bridging knowledge gaps, identifying emerging trends, and fostering the broader adoption of advanced radiation-based technologies in the oil sector.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"11 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143192613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The last four decades have witnessed the flourished harvesting in optical tweezers technology, leading to the development of a number of mainstream and emerging disciplines, particularly in physico-chemical processes. In recent years, with the advancement of optical tweezers technology, the study of particle dynamics has been further developed and enhanced. This review presents an overview of the research progress in optical tweezers from the perspective of particle dynamics. It cites relevant theoretical models and mathematical formulas, delves into the principles of mechanics involved in optical tweezers technology, and analyzes the coupling of the particle force field to the optical field in a continuous medium. Through a review of the open literature, this paper highlights historical advances in research on the dynamical behavior of particles since the invention of optical tweezers, including diffusion, aggregation, collisions, and fluid motion. Furthermore, it shows some specific research cases and experimental results in recent years to demonstrate the practical application effects of the combination of particle dynamics and optical tweezers technology in several fields. Finally, it discusses the challenges and constraints facing the field of combining particle technology with optical tweezers technology and prospects potential future research directions and improvements.
{"title":"Particle dynamics in optical tweezer systems","authors":"Xinxin Wu, Yueyan Liu, Shangzhong Jin, Mingzhou Yu","doi":"10.1515/revce-2024-0052","DOIUrl":"https://doi.org/10.1515/revce-2024-0052","url":null,"abstract":"The last four decades have witnessed the flourished harvesting in optical tweezers technology, leading to the development of a number of mainstream and emerging disciplines, particularly in physico-chemical processes. In recent years, with the advancement of optical tweezers technology, the study of particle dynamics has been further developed and enhanced. This review presents an overview of the research progress in optical tweezers from the perspective of particle dynamics. It cites relevant theoretical models and mathematical formulas, delves into the principles of mechanics involved in optical tweezers technology, and analyzes the coupling of the particle force field to the optical field in a continuous medium. Through a review of the open literature, this paper highlights historical advances in research on the dynamical behavior of particles since the invention of optical tweezers, including diffusion, aggregation, collisions, and fluid motion. Furthermore, it shows some specific research cases and experimental results in recent years to demonstrate the practical application effects of the combination of particle dynamics and optical tweezers technology in several fields. Finally, it discusses the challenges and constraints facing the field of combining particle technology with optical tweezers technology and prospects potential future research directions and improvements.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"6 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142961548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jun Hui Law, Farihahusnah Hussin, Muhammed Basheer Jasser, Mohamed Kheireddine Aroua
Amine absorption has been regarded as an efficient solution in reducing the atmospheric carbon dioxide (CO2) concentration. Machine learning (ML) models are applied in the CO2 capture field to predict the CO2 solubility in amine solvents. Although there are other similar reviews, this systematic review presents a more comprehensive review on the ML models and their training algorithms applied to predict CO2 solubility in amine-related solvents in the past 10 years. A total of 55 articles are collected from Scopus, ScienceDirect and Web of Science following Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines. Neural network is the most frequently applied model while committee machine intelligence system is the most accurate model. However, relatively the same optimisation algorithm was applied for each type of ML models. Genetic algorithm has been applied in most of the discussed ML models, yet limited studies were found. The advantages and limitations of each ML models are discussed. The findings of this review could provide a database of the data points for future research, as well as provide information to future researchers for studying ML application in amine absorption, including but not limited to implementation of different optimisation algorithms, structure optimisation and larger scale applications.
胺吸收被认为是降低大气中二氧化碳浓度的有效方法。机器学习（ML）模型应用于二氧化碳捕获领域，用于预测二氧化碳在胺类溶剂中的溶解度。尽管还有其他类似的综述，但本系统综述对过去10年来用于预测二氧化碳在胺相关溶剂中的溶解度的ML模型及其训练算法进行了更全面的综述。根据系统评价和荟萃分析指南的首选报告项目，从Scopus， ScienceDirect和Web of Science中收集了55篇文章。神经网络是应用最广泛的模型，而委员会机器智能系统是应用最准确的模型。然而，相对相同的优化算法应用于每种类型的ML模型。遗传算法已经应用于大多数讨论的机器学习模型中，但研究有限。讨论了各种机器学习模型的优点和局限性。本综述的研究结果可以为未来的研究提供数据点数据库，并为未来的研究人员研究ML在胺吸收中的应用提供信息，包括但不限于实现不同的优化算法，结构优化和更大规模的应用。
{"title":"A systematic review on the application of machine learning in carbon dioxide absorption in amine-related solvents","authors":"Jun Hui Law, Farihahusnah Hussin, Muhammed Basheer Jasser, Mohamed Kheireddine Aroua","doi":"10.1515/revce-2024-0047","DOIUrl":"https://doi.org/10.1515/revce-2024-0047","url":null,"abstract":"Amine absorption has been regarded as an efficient solution in reducing the atmospheric carbon dioxide (CO<jats:sub>2</jats:sub>) concentration. Machine learning (ML) models are applied in the CO<jats:sub>2</jats:sub> capture field to predict the CO<jats:sub>2</jats:sub> solubility in amine solvents. Although there are other similar reviews, this systematic review presents a more comprehensive review on the ML models and their training algorithms applied to predict CO<jats:sub>2</jats:sub> solubility in amine-related solvents in the past 10 years. A total of 55 articles are collected from Scopus, ScienceDirect and Web of Science following Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines. Neural network is the most frequently applied model while committee machine intelligence system is the most accurate model. However, relatively the same optimisation algorithm was applied for each type of ML models. Genetic algorithm has been applied in most of the discussed ML models, yet limited studies were found. The advantages and limitations of each ML models are discussed. The findings of this review could provide a database of the data points for future research, as well as provide information to future researchers for studying ML application in amine absorption, including but not limited to implementation of different optimisation algorithms, structure optimisation and larger scale applications.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"26 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142904787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Machine learning (ML) offers promising new approaches to tackle complex problems and has been increasingly adopted in chemical and materials sciences. In general, ML models employ generic mathematical functions and attempt to learn essential physics and chemistry from large amounts of data. The reliability of predictions, however, is often not guaranteed, particularly for out-of-distribution data, due to the limited physical or chemical principles in the functional form. Therefore, it is critical to quantify the uncertainty in ML predictions and understand its propagation to downstream chemical and materials applications. This review examines existing uncertainty quantification (UQ) and uncertainty propagation (UP) methods for atomistic ML under the framework of probabilistic modeling. We first categorize the UQ methods and explain the similarities and differences among them. Following this, performance metrics for evaluating their accuracy, precision, calibration, and efficiency are presented, along with techniques for recalibration. These metrics are then applied to survey existing UQ benchmark studies that use molecular and materials datasets. Furthermore, we discuss UP methods to propagate uncertainty in widely used materials and chemical simulation techniques, such as molecular dynamics and microkinetic modeling. We conclude with remarks on the challenges and opportunities of UQ and UP in atomistic ML.
{"title":"Uncertainty quantification and propagation in atomistic machine learning","authors":"Jin Dai, Santosh Adhikari, Mingjian Wen","doi":"10.1515/revce-2024-0028","DOIUrl":"https://doi.org/10.1515/revce-2024-0028","url":null,"abstract":"Machine learning (ML) offers promising new approaches to tackle complex problems and has been increasingly adopted in chemical and materials sciences. In general, ML models employ generic mathematical functions and attempt to learn essential physics and chemistry from large amounts of data. The reliability of predictions, however, is often not guaranteed, particularly for out-of-distribution data, due to the limited physical or chemical principles in the functional form. Therefore, it is critical to quantify the uncertainty in ML predictions and understand its propagation to downstream chemical and materials applications. This review examines existing uncertainty quantification (UQ) and uncertainty propagation (UP) methods for atomistic ML under the framework of probabilistic modeling. We first categorize the UQ methods and explain the similarities and differences among them. Following this, performance metrics for evaluating their accuracy, precision, calibration, and efficiency are presented, along with techniques for recalibration. These metrics are then applied to survey existing UQ benchmark studies that use molecular and materials datasets. Furthermore, we discuss UP methods to propagate uncertainty in widely used materials and chemical simulation techniques, such as molecular dynamics and microkinetic modeling. We conclude with remarks on the challenges and opportunities of UQ and UP in atomistic ML.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"64 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142902065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper offers a comprehensive review of previous studies and articles on international standards and certification criteria for biodegradable plastics. It highlights key insights into the biodegradation environment and certification processes for these materials. As various countries and organizations intensify research efforts on biodegradable plastics, certification standards for biodegradability are evolving and expanding. This trend is expected to play a pivotal role in shaping international standards. Nonetheless, several challenges persist, including the absence of universally recognized testing methods, inconsistencies between real-world and laboratory biodegradation conditions, and a lack of clear definitions and standardized criteria. Above all, establishing international standards is critical to advancing biodegradable plastics as a viable alternative to conventional plastics.
{"title":"Certifications and testing methods for biodegradable plastics","authors":"WooSeok Lee, JaeHyeon Kim, Tai Gyu Lee","doi":"10.1515/revce-2024-0061","DOIUrl":"https://doi.org/10.1515/revce-2024-0061","url":null,"abstract":"This paper offers a comprehensive review of previous studies and articles on international standards and certification criteria for biodegradable plastics. It highlights key insights into the biodegradation environment and certification processes for these materials. As various countries and organizations intensify research efforts on biodegradable plastics, certification standards for biodegradability are evolving and expanding. This trend is expected to play a pivotal role in shaping international standards. Nonetheless, several challenges persist, including the absence of universally recognized testing methods, inconsistencies between real-world and laboratory biodegradation conditions, and a lack of clear definitions and standardized criteria. Above all, establishing international standards is critical to advancing biodegradable plastics as a viable alternative to conventional plastics.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"8 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
María J. Taulamet, Osvaldo M. Martínez, Guillermo F. Barreto, Néstor J. Mariani
A review of the available information about the packed bed reactors with cocurrent upflow of gas and liquid (UFRs), particularly focused on heat transfer with an external medium through the container wall, was undertaken in this contribution. The typical use of such reactors is summarized as well as some novel applications. A brief discussion about fluid-dynamics is also made due to its strong effect on the transport processes. Experimental setup, available data, and literature correlations of heat transfer parameters are thoroughly reviewed. From a critical analysis of the experimental data, a refined database has been built, which allows comparing the performance of the existing correlations for the two parameters of the extensively employed two-dimensional pseudo-homogeneous plug flow model (i.e., effective radial thermal conductivity and wall heat transfer coefficient). In addition, new correlations for these parameters have been developed, which allow improving the actual predictive capabilities. Finally, the global heat transfer between the bed and the wall was comparatively analyzed for upflow (UFRs) and downflow (TBRs) gas–liquid packed bed reactors.
{"title":"Gas–liquid upflow packed bed reactors: a comprehensive review focused on heat transport","authors":"María J. Taulamet, Osvaldo M. Martínez, Guillermo F. Barreto, Néstor J. Mariani","doi":"10.1515/revce-2024-0035","DOIUrl":"https://doi.org/10.1515/revce-2024-0035","url":null,"abstract":"A review of the available information about the packed bed reactors with cocurrent <jats:italic>upflow</jats:italic> of gas and liquid (UFRs), particularly focused on heat transfer with an external medium through the container wall, was undertaken in this contribution. The typical use of such reactors is summarized as well as some novel applications. A brief discussion about fluid-dynamics is also made due to its strong effect on the transport processes. Experimental setup, available data, and literature correlations of heat transfer parameters are thoroughly reviewed. From a critical analysis of the experimental data, a refined database has been built, which allows comparing the performance of the existing correlations for the two parameters of the extensively employed two-dimensional pseudo-homogeneous plug flow model (<jats:italic>i.e.</jats:italic>, effective radial thermal conductivity and wall heat transfer coefficient). In addition, new correlations for these parameters have been developed, which allow improving the actual predictive capabilities. Finally, the global heat transfer between the bed and the wall was comparatively analyzed for <jats:italic>upflow</jats:italic> (UFRs) and <jats:italic>downflow</jats:italic> (TBRs) gas–liquid packed bed reactors.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This tutorial review provides a comprehensive overview of machine learning (ML)-based model predictive control (MPC) methods, covering both theoretical and practical aspects. It provides a theoretical analysis of closed-loop stability based on the generalization error of ML models and addresses practical challenges such as data scarcity, data quality, the curse of dimensionality, model uncertainty, computational efficiency, and safety from both modeling and control perspectives. The application of these methods is demonstrated using a nonlinear chemical process example, with open-source code available on GitHub. The paper concludes with a discussion on future research directions in ML-based MPC.
{"title":"A tutorial review of machine learning-based model predictive control methods","authors":"Zhe Wu, Panagiotis D. Christofides, Wanlu Wu, Yujia Wang, Fahim Abdullah, Aisha Alnajdi, Yash Kadakia","doi":"10.1515/revce-2024-0055","DOIUrl":"https://doi.org/10.1515/revce-2024-0055","url":null,"abstract":"This tutorial review provides a comprehensive overview of machine learning (ML)-based model predictive control (MPC) methods, covering both theoretical and practical aspects. It provides a theoretical analysis of closed-loop stability based on the generalization error of ML models and addresses practical challenges such as data scarcity, data quality, the curse of dimensionality, model uncertainty, computational efficiency, and safety from both modeling and control perspectives. The application of these methods is demonstrated using a nonlinear chemical process example, with open-source code available on GitHub. The paper concludes with a discussion on future research directions in ML-based MPC.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"119 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142797485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Considering the distinctive features of the delayed coking process and taking into account various particulate matter control technologies, the feasibility of using jet washing technology to remove coke powder from process gas is explored. The performance of scrubbers is heavily reliant on the quality of atomization, which in turn is influenced by liquid jet breakup. Due to the multiple interactions of various instabilities involved in jet breakup, as well as the short duration and small scale of this process, it is challenging to observe experimentally. Therefore, the specific fluid dynamics processes are not yet clear. In recent years, extensive research has been conducted on research methods, jet breakup modes, jet breakup characteristics, and jet breakup mechanisms. However, there is a lack of comprehensive review work summarizing these research advancements. This article aims to provide a comprehensive overview to facilitate jet scrubber designers’ systematic understanding of progress in jet breakup research. Furthermore, it discusses the significance of studying confined spaces for jet breakup with the objective of providing valuable insights for designing and optimizing delayed coker.
{"title":"Research progress of jet washing technology and its exploratory decoking application in delayed coking process","authors":"Fuwei Lv, Bingjie Wang, Shijie Yan, Yong Zhu, Qifan Yu, Xiaoyong Yang","doi":"10.1515/revce-2024-0030","DOIUrl":"https://doi.org/10.1515/revce-2024-0030","url":null,"abstract":"Considering the distinctive features of the delayed coking process and taking into account various particulate matter control technologies, the feasibility of using jet washing technology to remove coke powder from process gas is explored. The performance of scrubbers is heavily reliant on the quality of atomization, which in turn is influenced by liquid jet breakup. Due to the multiple interactions of various instabilities involved in jet breakup, as well as the short duration and small scale of this process, it is challenging to observe experimentally. Therefore, the specific fluid dynamics processes are not yet clear. In recent years, extensive research has been conducted on research methods, jet breakup modes, jet breakup characteristics, and jet breakup mechanisms. However, there is a lack of comprehensive review work summarizing these research advancements. This article aims to provide a comprehensive overview to facilitate jet scrubber designers’ systematic understanding of progress in jet breakup research. Furthermore, it discusses the significance of studying confined spaces for jet breakup with the objective of providing valuable insights for designing and optimizing delayed coker.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"26 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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