Maria Lima, Jorge Otávio Trierweiler, Marcelo Farenzena
{"title":"DBFact applied to minimum variance performance assessment for nonminimum phase multivariate systems from closed-loop data","authors":"Maria Lima, Jorge Otávio Trierweiler, Marcelo Farenzena","doi":"10.1002/cjce.25492","DOIUrl":"10.1002/cjce.25492","url":null,"abstract":"<p>This paper introduces an approach for determining a minimum variance control (MVC) benchmark for nonminimum phase (NMP) multi-input multi-output (MIMO) systems using closed-loop operational data. The MVC benchmark is derived from the MVC law of DBFact factorization introduced by Lima, Trierweiler, and Farenzena. Unlike other factorization methods, DBFact offers advantages such as non-iterative computation and ensuring internal stability of the MVC law. This approach considers the inherent directionality of NMP MIMO systems, enhancing the reliability of the control performance index. However, the original method relies on prior knowledge of the process model. To overcome this limitation, this paper proposes a method for calculating the MVC benchmark when prior knowledge is absent. It introduces a MIMO system identification strategy employing minimally invasive signal tests. The methodology is evaluated across various control conditions using a quadruple-tank plant with additional time delays. The study emphasizes the importance of directionality in assessing MIMO system performance, particularly in evaluating individual loop performances. Results demonstrate the identification procedure's effectiveness in accurately calculating the proposed MVC benchmark, even with a mere 1% increase in output variance considered.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1813-1834"},"PeriodicalIF":1.6,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Charles Wroblewski, Rahul Islam Barbhuiya, Guneet Kaur, Gopu Raveendran Nair, Abdallah Elsayed, Ashutosh Singh
{"title":"A comprehensive insight into metal oxide nanoparticle synthesis, associated regulations, and application in the agri-food sector","authors":"Charles Wroblewski, Rahul Islam Barbhuiya, Guneet Kaur, Gopu Raveendran Nair, Abdallah Elsayed, Ashutosh Singh","doi":"10.1002/cjce.25484","DOIUrl":"10.1002/cjce.25484","url":null,"abstract":"<p>To achieve global sustainability goals, it is necessary to ensure food safety and security by adopting sustainable agricultural practices. However, the current agri-food sector is not only in its most vulnerable state, but it is also becoming a threat to the environment due to the combination of industrial and human activities that are detrimental. These activities, including the use of highly toxic agrochemicals, have deteriorated the quality of arable soil, thereby impacting food security. One area of research emerging in recent years as a promising avenue to combat concerns around agricultural soil quality and productivity is that of the application of metal and metal oxide nanoparticles (MONPs). In this review, we comprehensively examine the synthesis processes, application, environmental impact, and regulations associated with MONPs in the agri-food sector. In agriculture, these nanoparticles have been demonstrated to enhance crop yields by acting as delivery systems for nutrients, preventing soil degradation, and reducing the need for pesticides and fertilizers. In relation to ensuring food quality and security, these nanoparticles are used as additives to enhance nutritional content, improve texture, and extend shelf life. Alternatively, the antimicrobial properties of metal and metal oxide nanoparticles can be used to modify packaging materials and make them more effective at preserving food, reducing food waste by inhibiting the growth of harmful bacteria, and reducing the risk of foodborne illnesses. Overall, using nanoparticles in the agriculture and food industry offers exciting opportunities to promote sustainability, reduce environmental pollution, and improve food quality and safety.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1736-1751"},"PeriodicalIF":1.6,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Issue Highlights","authors":"","doi":"10.1002/cjce.24999","DOIUrl":"https://doi.org/10.1002/cjce.24999","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 10","pages":"3307"},"PeriodicalIF":1.6,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142152194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dual-noise autoencoder combining pseudo-labels and consistency regularization for process fault classification","authors":"Xiaoping Guo, Qingyu Guo, Yuan Li","doi":"10.1002/cjce.25478","DOIUrl":"10.1002/cjce.25478","url":null,"abstract":"<p>In the classification of industrial process faults, the collected process fault data has the problem of having more irrelevant fault information, limited labels, and a significant impact of noise, which affects the prediction accuracy of the classification model. To address these problems, this paper proposes a semi-supervised dual-noise autoencoder method that integrates pseudo-labels and consistency regularization (PR-SNAE). Based on normal samples, the differences between faulty samples and normal samples are enhanced through dissimilarity analysis. Two types of noise are introduced into the enhanced samples to improve the robustness of the model. A stacked supervised autoencoder (SSAE) network is trained using a small amount of labelled data. The deep feature information is extracted to establish a preliminary fault classification model. Pseudo-labels are generated for unlabelled samples to overcome the problem of insufficient labels for fault data. In the adjustment stage of the classification model, a loss function that integrates pseudo-labels and consistency regularization is proposed to prevent overfitting and poor robustness of the model. Simulation experiments were conducted on the Tennessee Eastman (TE) benchmark process and three-phase flow process, and the results verified the effectiveness of the proposed method.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1853-1867"},"PeriodicalIF":1.6,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of machine learning in monitoring fouling in heat exchangers in chemical engineering: A systematic review","authors":"Lucas Villa, Claiton Zanini Brusamarello","doi":"10.1002/cjce.25480","DOIUrl":"10.1002/cjce.25480","url":null,"abstract":"<p>The present work consists of a systematic literature review that examines studies on using machine learning to monitor fouling in heat exchangers in the chemical engineering area. The research was conducted in four renowned databases: SCOPUS, Science Direct, IEEE, and Web of Science. The main objective of the investigation was to identify the most prevalent machine learning methods, evaluate their performance, and analyze the challenges associated with their implementation and prospects. Using the StArt software, seven relevant scientific papers from the established review protocol. The most frequently identified methods were support vector machine (SVM) and k-nearest neighbours (k-NN), followed by decision tree. However, long-term and short-term predictors and long short-term memory (LSTM) and non-linear autoregressive with exogenous inputs (NARX) algorithms were the most successful, followed by Gaussian process regression (GPR), SVM, k-NN, and improved grey wolf optimization–support vector regression (IGWO-SVR) algorithms. Although these methods inspire confidence, it is important to highlight that they are still in the software testing phase. Key gaps identified include the need for further studies on real industrial applications and the integration of advanced sensors and measurement systems. Future directions point to developing more robust and generalized algorithms capable of dealing with the complexity of real systems.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1786-1801"},"PeriodicalIF":1.6,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Usefulness of insights into the kinetic compensation effects in the kinetic analysis of the coal gasification process","authors":"Manoj Kumar Jena, Vineet Kumar, Hari Vuthaluru","doi":"10.1002/cjce.25477","DOIUrl":"10.1002/cjce.25477","url":null,"abstract":"<p>In this paper, an attempt has been made to understand the kinetic compensation effects and their usefulness in the kinetic analysis of a lab-based gasification study. The gasification experiment was carried out in two different gasifying environments, that is, 0.4%O₂ + 8%H₂O-Ar and 8%H₂O-Ar, for two different particle sizes of Loy Yang brown coal. Analysis of kinetic values with the change in particle size and gasifying environment was investigated. This provides information on the path of product gas formation and how the overall controlling factor affects the path of char gasification, including the rate-limiting step. Furthermore, the results indicate that having multiple sets of kinetic parameters caused by the inclusion of the change in char properties into kinetics during solid–gas heterogeneous reactions opens up the scope for wider applications in chemical reaction engineering. This includes the design of a reactor with a proper kinetic model, optimization of feedstock, and process parameters with the identification of pathways for product gas formation, which ultimately plays a key role in scaling up technology from bench-scale to plant-scale. In contrast, the study of kinetics with having a single set of kinetic data based on the initial change in char properties limits its applications.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1868-1879"},"PeriodicalIF":1.6,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Use of molecular simulation to design modification of a chromium-based MOF for adsorptive removal of inhalation anaesthetic agents","authors":"Masoud Haeri-Nejad, Mladen Eic","doi":"10.1002/cjce.25454","DOIUrl":"10.1002/cjce.25454","url":null,"abstract":"<p>MIL-101-Cr-X (X = OH<sup>−</sup>, F<sup>−</sup>) has been reported to be the most suitable material so far for adsorptive removal of inhalation anaesthetic agents (IAA) sevoflurane and desflurane at the working conditions in hospital operation rooms. To further enhance its affinity and uptake capacity towards IAA, several structural modifications were proposed, and their isotherms were predicted using our molecular simulation approach adopted in our previous publication for the case of the pristine MIL-101-Cr (X = F<sup>−</sup>, OH<sup>−</sup>) structure. The proposed modifications include (1) grafting the metal-cluster site with coordinated NH<sub>3</sub> ligands to produce MIL-101-Cr@NH<sub>3</sub> (X = F<sup>−</sup>, OH<sup>−</sup>), (2) anion exchange of the fluorine atom bonded to chromium with chlorine to synthesize MIL-101-Cr (X = Cl<sup>−</sup>), and (3) functionalization of the benzene rings of the ligand linkers in the MOFs with amino- and nitro- groups in order to form NH<sub>2</sub>-MIL-101-Cr (X = Cl<sup>−</sup>) and NO<sub>2</sub>-MIL-101-Cr (X = Cl), respectively. Simulated adsorption isotherms of IAA on these modifications were verified by the experimental results using the standard volumetric technique and they clearly demonstrated that MIL-101-Cr@NH<sub>3</sub> (X = F<sup>−</sup>, OH<sup>−</sup>) possesses the highest equilibrium capacity for IAA. This observation can be attributed to the electron-transfer contribution of the coordinated ammonium molecules to the unsaturated coordinated sites of the MOF while doing away with steric hindrance inside the pore cages. The new compound can significantly enhance the economy of adsorptive removal of IAA from vented gas mixtures.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"1363-1374"},"PeriodicalIF":1.6,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25454","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding the effect of reaction parameters on the production of levulinic acid from glucose","authors":"Ketaki S. Nalawade, Parag R. Gogate","doi":"10.1002/cjce.25470","DOIUrl":"10.1002/cjce.25470","url":null,"abstract":"<p>A significant and sustainable feedstock for many value added products is levulinic acid, which is basically a short-chain fatty acid. The current study aims to comprehend how multiple factors affect the hydrothermal reactions that convert glucose to levulinic acid. Glucose can be readily obtained from lignocellulosic biomass and hence it is selected in the work as representative sustainable source. The effect of various operating parameters, including time (0–180 min), temperature (140–180°C), nitrogen pressure (0–25 bar), glucose concentration (3%–10%), agitation speed (100–300 RPM), and acid concentration (2%–6%); use of different salts (NaCl, AlCl<sub>3</sub> 6H<sub>2</sub>O, FeCl<sub>3</sub>); and different acids (HCl, H<sub>3</sub>PO<sub>4</sub>, H<sub>2</sub>SO<sub>4</sub>) on the reaction progress has been studied in a batch autoclave reactor. It was elucidated that pressure (only nitrogen purge was essential for reaction progress) or salt content changes did not affect sugar conversion significantly. The process was seriously influenced by the presence of acids, mostly in the form of homogeneous catalysts, and the most significant results were obtained for H<sub>2</sub>SO<sub>4</sub>. The highest levulinic acid yield (39.7 g/g) at 90 min, with nearly complete sugar conversion, was obtained under the ideal conditions of 160°C, 5% sugar loading, and 5% H<sub>2</sub>SO<sub>4</sub> concentration. The current study indicates that the two primary operating parameters in this conversion process are temperature and time, with higher temperature and lower sugar concentration showing a rising tendency in sugar conversion. Overall, the study establishes a sustainable process for levulinic acid synthesis.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 11","pages":"3713-3722"},"PeriodicalIF":1.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preface to the Organic and Printed Electronics Special Issue Section","authors":"Benoît H. Lessard","doi":"10.1002/cjce.25473","DOIUrl":"10.1002/cjce.25473","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 12","pages":"4104-4105"},"PeriodicalIF":1.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preface to the special issue of the International Conference on Sustainable Development in Chemical and Environmental Engineering (SDCEE-2024)","authors":"Avinash Chandra","doi":"10.1002/cjce.25474","DOIUrl":"10.1002/cjce.25474","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 11","pages":"3711-3712"},"PeriodicalIF":1.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}