Reviews in Chemical Engineering最新文献

Trends and perspectives in deterministic MINLP optimization for integrated planning, scheduling, control, and design of chemical processes

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-03-28 DOI: 10.1515/revce-2024-0064

David A. Liñán, Luis A. Ricardez-Sandoval

{"title":"Trends and perspectives in deterministic MINLP optimization for integrated planning, scheduling, control, and design of chemical processes","authors":"David A. Liñán, Luis A. Ricardez-Sandoval","doi":"10.1515/revce-2024-0064","DOIUrl":"https://doi.org/10.1515/revce-2024-0064","url":null,"abstract":"Mixed integer nonlinear programming (MINLP) in chemical engineering originated as a tool for solving optimal process synthesis and design problems. Since then, the application of MINLP has expanded to encompass control and operational decisions that are in line with the arising challenges faced by the industry, e.g., sustainability, competitive markets, and volatile supply chain environments. Nowadays, process plants are transitioning from traditional manufacturing practices to automated solutions able to integrate decision-making within manufacturing enterprises. This paradigm shift aims to increase profits, optimize resource utilization efficiency, promote long-term sustainability, minimize waste, and enhance responsiveness under uncertainties and perturbations. Accordingly, the development of reliable, computationally efficient, and robust MINLP algorithms capable of simultaneously handling process design, planning, scheduling, or control decisions are crucial to achieving Industry 4.0 integration goals. This work explores potential research opportunities and recent advances toward the development of integrated decision-making frameworks, focusing on their underlying state-of-the-art optimization tools. We provide an overview of emerging deterministic MINLP optimization algorithms for simultaneous decision-making problems. Furthermore, we constructively discuss the versatility and limitations of these optimization tools. We also highlight how novel optimization theories, both within and outside the chemical engineering domain, can be incorporated into advanced MINLP frameworks suitable for process integration.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"19 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143723130","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}

引用次数: 0

Self-heat recuperation (SHR) theory: principle and applications

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-03-24 DOI: 10.1515/revce-2024-0038

Zhonglin Zhang, Qiwang Hou, Peirui Li, Zhaolun Wen, Xueer Pan, Xiaogang Hao, Guoqing Guan

{"title":"Self-heat recuperation (SHR) theory: principle and applications","authors":"Zhonglin Zhang, Qiwang Hou, Peirui Li, Zhaolun Wen, Xueer Pan, Xiaogang Hao, Guoqing Guan","doi":"10.1515/revce-2024-0038","DOIUrl":"https://doi.org/10.1515/revce-2024-0038","url":null,"abstract":"To alleviate the global climate changes driven by the utilization of carbon-based fuel, various countries of the world have put in more efforts in developing corresponding technologies that can curb global warming and reduce the use of fossil fuels in recent years. Self-heat recuperation (SHR) is a new energy-saving technology that guides the development of energy-consuming systems. Based on the theory of exergy recovery, SHR can minimize energy requirements and optimize energy structure. According to this theory, the heat of the whole process could be recycled into its designed exergy recovery process and circulated within the process without requiring additional heat sources. Herein, first, we introduce three principal analyses (energy analysis, exergy analysis, and entransy analysis) of SHR theory and its applications in distillation, drying, absorption, and other areas. Then, the advantages and existing issues of these applications are summarized in details. Finally, it is proposed that the future development direction for SHR theory should involve the integration of SHR with other energy-saving technologies for optimizing the energy-saving design and improving its industrial applications. This approach can help to achieve cascade energy utilization at the system level.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"71 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143677795","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}

引用次数: 0

Hybrid MOF-COF structures for advanced gas separation membranes: a short review of synthesis, performance analysis and application potential

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-03-24 DOI: 10.1515/revce-2024-0088

Maciej Szwast, Daniel Polak

{"title":"Hybrid MOF-COF structures for advanced gas separation membranes: a short review of synthesis, performance analysis and application potential","authors":"Maciej Szwast, Daniel Polak","doi":"10.1515/revce-2024-0088","DOIUrl":"https://doi.org/10.1515/revce-2024-0088","url":null,"abstract":"This review examines the application potential of hybrid MOF-COF structures in fabricating advanced membranes for gas separation. MOF-COF membranes demonstrate exceptional gas separation performance, surpassing the Robeson upper bound for several gas mixtures, including H2/CH4, CO2/CH4, CO2/N2 and O2/N2. Key findings indicate that thin-film MOF-COF membranes exhibit remarkable selectivity and permeability, with some hybrids achieving permeance values exceeding 1,000,000 GPU and ideal separation factors over 30. Additionally, mixed matrix membranes (MMMs) containing MOF-COF hybrids show potential for combining mechanical robustness with high separation efficiency, despite challenges in achieving uniform dispersion. Future research should prioritize scaling up production methods, enhancing the mechanical stability of thin films, and improving polymer-hybrid compatibility in MMMs. Experimental validation of theoretical predictions is essential to address discrepancies and unlock the full potential of these materials. MOF-COF hybrids are poised to revolutionize gas separation technologies and offer promising directions for broader applications, including catalysis and energy storage.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"49 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143677798","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}

引用次数: 0

Accelerating process control and optimization via machine learning

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-03-12 DOI: 10.1515/revce-2024-0060

Ilias Mitrai, Prodromos Daoutidis

引用次数: 0

Identifying gaps in practical use of epoxy foam/aerogels: review - solutions and prospects

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-03-03 DOI: 10.1515/revce-2024-0044

Tomy Muringayil Joseph, Seitkhan Azat, Ehsan Kianfar, Kunnelveli S. Joshy, Omid Moini Jazani, Amin Esmaeili, Zahed Ahmadi, Józef Haponiuk, Sabu Thomas

{"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}

引用次数: 0

Applications of ionizing irradiation in oil industry: a review

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-02-06 DOI: 10.1515/revce-2024-0072

Ali Taheri, Seyed Pezhman Shirmardi

引用次数: 0

Particle dynamics in optical tweezer systems 光学镊子系统中的粒子动力学

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-01-11 DOI: 10.1515/revce-2024-0052

Xinxin Wu, Yueyan Liu, Shangzhong Jin, Mingzhou Yu

{"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}

引用次数: 0

A systematic review on the application of machine learning in carbon dioxide absorption in amine-related solvents 机器学习在胺类溶剂中二氧化碳吸收中的应用综述

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-12-30 DOI: 10.1515/revce-2024-0047

Jun Hui Law, Farihahusnah Hussin, Muhammed Basheer Jasser, Mohamed Kheireddine Aroua

{"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 (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.","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}

引用次数: 0

Uncertainty quantification and propagation in atomistic machine learning 原子机器学习中的不确定性量化与传播

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-12-30 DOI: 10.1515/revce-2024-0028

Jin Dai, Santosh Adhikari, Mingjian Wen

{"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}

引用次数: 0

Certifications and testing methods for biodegradable plastics 生物可降解塑料的认证和测试方法

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-12-29 DOI: 10.1515/revce-2024-0061

WooSeok Lee, JaeHyeon Kim, Tai Gyu Lee

引用次数: 0