Canadian Journal of Chemical Engineering最新文献

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Canadian Journal of Chemical Engineering Pub Date : 2025-04-15 DOI: 10.1002/cjce.25327

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Canadian Journal of Chemical Engineering Pub Date : 2025-03-09 DOI: 10.1002/cjce.25325

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Experimental methods in chemical engineering: Virtual issue II preface 化学工程中的实验方法：虚拟第II期前言

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-02-06 DOI: 10.1002/cjce.25632

Gregory S. Patience

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Canadian Journal of Chemical Engineering Pub Date : 2025-02-03 DOI: 10.1002/cjce.25323

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Experimental methods in chemical engineering–Validation of steady-state simulation 化学工程中的实验方法--稳态模拟的验证

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Canadian Journal of Chemical Engineering Pub Date : 2025-01-22 DOI: 10.1002/cjce.25601

Caroline Brucel, Émilie Thibault, Gregory S. Patience, Paul Stuart

{"title":"Experimental methods in chemical engineering–Validation of steady-state simulation","authors":"Caroline Brucel, Émilie Thibault, Gregory S. Patience, Paul Stuart","doi":"10.1002/cjce.25601","DOIUrl":"https://doi.org/10.1002/cjce.25601","url":null,"abstract":"Steady-state simulation (Aspen, PRO/II, WinGEMS, CADSIM Plus) guides equipment selection, operating conditions, and optimization to design chemical processes like Kraft pulping, specialty chemicals, and petrochemical complexes. Ensuring that the simulation characterizes the yields, heat transfer loads, purity, utilities demand, and profitability requires data that represents the physicochemical and transport properties of each stream and unit operation. Here, we present strategies to validate steady-state simulations against plant data and expectations from operators. To build and validate simulations requires real-time data, but errors contaminate measurements and dynamic conditions—start-up, shut-downs, process upsets—compromise fidelity. A pre-treatment step removes incongruous data to build the simulation on process conditions representative of steady-state. Working through the process with experts (informal validation) and comparing simulation results with plant data (formal validation) reduces gross error with an objective to achieve a simulation accuracy to within one standard deviation of measurement variability. A bibliometric review highlights the limited focus on steady-state simulation validation in the field of process engineering. Most articles mention accuracy but neglect to describe how it is evaluated. Despite this scarcity, validation remains a critical factor in various domains of chemical engineering research. Interviews with professionals offer a practical perspective on the applications of simulation in an industrial context like process monitoring, equipment performance analysis, operator training, and decision-making. Finally, a case study demonstrates how to implement data treatment and validation for Kraft mill brownstock washing department: Applying multiple validation techniques increases the value and confidence in the simulation.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 5","pages":"1945-1964"},"PeriodicalIF":1.6,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25601","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836293","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}

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Process simulation on oxy-fuel combustion of coal and biomass in a circulating fluidized bed 循环流化床中煤和生物质全氧燃烧过程模拟

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-01-22 DOI: 10.1002/cjce.25600

Xuejiao Liu, Zecheng Liu, Yun Hu, Wenqi Zhong

{"title":"Process simulation on oxy-fuel combustion of coal and biomass in a circulating fluidized bed","authors":"Xuejiao Liu, Zecheng Liu, Yun Hu, Wenqi Zhong","doi":"10.1002/cjce.25600","DOIUrl":"https://doi.org/10.1002/cjce.25600","url":null,"abstract":"Appropriately evaluating the gas–solid hydrodynamics and reaction kinetics of reactors within process simulation approach can provide more accurate and comprehensive techno-economic and environmental assessments, as well as more effective design and optimization for new processes and technologies. In this study, a one-dimensional process simulation of biomass and coal oxy-co-firing in a 100 kWth circulating fluidized bed was developed, with the models for gas–solid hydrodynamics and synergistic reactions of two fuels being established in Aspen Plus software. The effects of fuel properties, gas atmosphere, and operating parameters on the combustion process, flue gas products, and heat distributions in the bed were studied. Results show that the proposed process models can successfully describe the oxy-co-firing of coal and biomass in the furnace including the pyrolysis and the combustions of gaseous volatile and char. Increasing the oxygen concentration and biomass blending ratio will improve the combustions in dense phase region and obviously increase the heat release in this region. More heating surfaces should be arranged in the dense phase region when retrofitting an existing circulating fluidized bed (CFB) boiler with air combustion to be the oxy-fuel one. Additionally, the increase of oxygen concentration could reduce the emissions of pollutants such as CO and NOX, while the addition of biomass may bring a slight increase in NOX emission.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1535-1549"},"PeriodicalIF":1.6,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582004","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}

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Special section in honour of Professor Norman Epstein of the University of British Columbia 纪念英属哥伦比亚大学诺曼·爱泼斯坦教授的特别部分

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-01-09 DOI: 10.1002/cjce.25599

João B. P. Soares

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Canadian Journal of Chemical Engineering Pub Date : 2025-01-07 DOI: 10.1002/cjce.25321

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Reliable modelling of the sulphur properties to calculate the process parameters of the Claus sulphur recovery plant 用可靠的硫磺性质模型计算克劳斯硫磺回收装置的工艺参数

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-12-17 DOI: 10.1002/cjce.25573

Mohammad M. Ghiasi, Sohrab Zendehboudi, Amir H. Mohammadi, Mahdi Nikkhahi, Ali Lohi, Ioannis Chatzis

{"title":"Reliable modelling of the sulphur properties to calculate the process parameters of the Claus sulphur recovery plant","authors":"Mohammad M. Ghiasi, Sohrab Zendehboudi, Amir H. Mohammadi, Mahdi Nikkhahi, Ali Lohi, Ioannis Chatzis","doi":"10.1002/cjce.25573","DOIUrl":"https://doi.org/10.1002/cjce.25573","url":null,"abstract":"In order to handle the overwhelming effects of the removed hydrogen sulphide (H2S) from natural gas and industrial waste gases on the environment, H2S can be converted to elemental sulphur. Among the available processes for sulphur recovery, the most widely employed process is a modified Claus process. In this work, first, least square version of support vector machine (LS-SVM) approach is utilized for determining the properties of sulphur including heat of vaporization, heat of condensation (S6, S8), heat of dissociation (S6, S8), and heat capacity of equilibrium sulphur vapours as a function of temperature. An illustrative example is given to show the usefulness of the presented computer-based models with two parameters for designing and operation of the Claus sulphur recovery unit (SRU). According to the error analysis results, predicted values by the proposed intelligent models are in excellent agreement with the reported data in the literature for the aforementioned sulphur properties where the coefficient of determination (R2) is higher than 0.99 for all developed models. The average absolute relative deviation percent (%AARD) is less than 1.3 while predicting the heat capacity of equilibrium sulphur vapours. Other proposed models' predictions show less than 0.2% AARD from the target values. In addition, a mathematical algorithm on the basis of the Leverage approach is proposed to define the domain of applicability of the developed LS-SVM models. It was found that the presented models are statistically valid and the employed data points for developing the models are within the range of their applicability.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"986-1003"},"PeriodicalIF":1.6,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115907","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}

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Preface to the special issue section: Artificial intelligence and machine learning applications in chemical engineering 特刊部分前言：人工智能和机器学习在化学工程中的应用

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-12-09 DOI: 10.1002/cjce.25572

Simant Upreti

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