Dr. Cesar Andres Diaz Arias, Prof. Dr. Marcelo Chuei Matsudo, Prof. Dr. Livia Seno Ferreira-Camargo, Dr. João Vitor Dutra Molino, Prof. Dr. Stephen Patrick Mayfield, Prof. Dr. João Carlos Monteiro de Carvalho
{"title":"Effect of Macronutrients on Recombinant mCherry Production by Microalga","authors":"Dr. Cesar Andres Diaz Arias, Prof. Dr. Marcelo Chuei Matsudo, Prof. Dr. Livia Seno Ferreira-Camargo, Dr. João Vitor Dutra Molino, Prof. Dr. Stephen Patrick Mayfield, Prof. Dr. João Carlos Monteiro de Carvalho","doi":"10.1002/ceat.202300143","DOIUrl":"https://doi.org/10.1002/ceat.202300143","url":null,"abstract":"<p>This study sought to evaluate the influence of five macronutrients (acetate, calcium, sulfate, nitrogen, and phosphate) on the cell growth and heterologous m<i>Cherry</i> protein production by <i>Chlamydomonas reinhardtii</i>. In the first step, three nitrogen (N) sources were tested (NH<sub>4</sub>NO<sub>3</sub>, NaNO<sub>3</sub>, and NH<sub>4</sub>Cl), and NH<sub>4</sub>NO<sub>3</sub> was selected as N source for the following step, due to the best results for m<i>Cherry</i> protein production. In the second step, a central composite design 2<sup>5</sup> was employed to evaluate the effect of the five macronutrients. Although all nutrients had effect on maximum biomass concentration, only acetate, nitrogen, and phosphate showed to influence m<i>Cherry</i> protein production. By employing the experimental design with small-scale culture in multiplates and multivariable regression, it was possible to achieve 12 % increase for recombinant protein production.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"47 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666015","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":"Decarbonization of Metallurgy and Steelmaking Industries Using Biochar: A Review","authors":"Tumpa R. Sarker, Dilshad Z. Ethen, Sonil Nanda","doi":"10.1002/ceat.202400217","DOIUrl":"https://doi.org/10.1002/ceat.202400217","url":null,"abstract":"<p>The iron and steelmaking industries play a significant role in the manufacturing sector but result in significant greenhouse gas emissions. Biochar has recently gained attention as a potential substitute for coal in metallurgical processes due to its carbon capture potential. This review explores the potential of biochar as a sustainable substitute for coal in steelmaking industries. Notable research works have shown that substituting biochar in amounts ranging from as low as 5 % to as high as 50 % can be feasible and beneficial in processes such as coke making, iron sintering, blast furnaces, and electric furnaces. The information presented in this review can be applied to create sustainable and competitive alternatives to fossil fuels to help decarbonize metallurgical industries.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"47 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ceat.202400217","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666043","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}
Hrithika Ganta, Om Rajesh Gunjal, Satakshi Agarwal, Prof. Arnab Dutta
{"title":"Sustainability and Technoeconomic Assessment of Polygeneration Process for LNG Cold Recovery","authors":"Hrithika Ganta, Om Rajesh Gunjal, Satakshi Agarwal, Prof. Arnab Dutta","doi":"10.1002/ceat.202400174","DOIUrl":"https://doi.org/10.1002/ceat.202400174","url":null,"abstract":"<p>Liquefied natural gas (LNG) regasification terminals have specification that necessitates adjustment of heating value of LNG feed. One strategy to reduce heating value is to separate heavier hydrocarbons from LNG by utilizing LNG cold energy. The amount of cold energy utilized in recovering heavy hydrocarbon is much less resulting in wastage of remaining cold energy. To reverse this wastage, we propose a polygeneration process that encompasses an organic Rankine cycle to generate electricity and refrigeration for cold storage warehouse cooling and data center cooling by utilizing remaining cold energy. Based on process simulation and optimization, we found that a significant amount of cold energy is utilized resulting in an avoided CO<sub>2</sub> emission, thereby enhancing sustainability of an LNG regasification terminal.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"47 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666140","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}
Felix Miesen, Dipl.-Ing. Julius Lorenz, Dr.-Ing. Anselm Klose, Dr.-Ing. Florian Pelzer, Prof. Dr. Susanne Narciss, Prof. Dr.-Ing. Leon Urbas
{"title":"Scenario Design for the Evaluation of Human–Machine Interaction in Modular Process Plants","authors":"Felix Miesen, Dipl.-Ing. Julius Lorenz, Dr.-Ing. Anselm Klose, Dr.-Ing. Florian Pelzer, Prof. Dr. Susanne Narciss, Prof. Dr.-Ing. Leon Urbas","doi":"10.1002/ceat.202400015","DOIUrl":"https://doi.org/10.1002/ceat.202400015","url":null,"abstract":"<p>Operators in modular process plants face new demands due to features like increasing automation and digitalization combined with an architecture allowing for reconfigurations in short time spans. However, operators must be able to master process control tasks at all times. For research purposes on topics like supporting operators in their performance in process control of modular process plants, this article aims at developing scenarios of such plants. Based on three conceptual levels describing the relation of chemical processes and their modularized realization and a neutralization process as use case, four scenarios were developed. Having the common task to increase the throughput, the scenarios differ in terms of complexity and constraints that need to be considered for process control.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"47 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ceat.202400015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666068","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":"Extractive Distillation of Isobutyl Alcohol and Isobutyl Acetate Using Dimethyl Sulfoxide: Process Design and Intensification","authors":"Rumeysa Yildirim, Betul Unlusu","doi":"10.1002/ceat.202300457","DOIUrl":"https://doi.org/10.1002/ceat.202300457","url":null,"abstract":"<p>We have designed a separation process of isobutyl alcohol (52.0 mol%) and isobutyl acetate (48.0 mol%) mixture using conventional extractive distillation (ED) and extractive dividing-wall column (E-DWC) with the solvent dimethyl sulfoxide (DMSO). The binary mixture exhibits a minimum boiling azeotrope that is sensitive to pressure. Thermodynamic analyses have shown that the vacuum pressures work better compared to the atmospheric pressure when DMSO is the solvent. Based on the separation with a purity of 99.9 mol%, the E-DWC process has resulted in 9.6 % and 4.8 % reductions in the total annual cost and CO<sub>2</sub> emission rates, respectively, in comparison to the conventional method. After further intensification using the heat pump technique, the E-DWC process with the solvent DMSO has provided more than 40.0 % reduction in energy consumption compared to the ED systems studied in the literature using the solvents butyl propionate and dimethylformamide.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"47 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666069","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}
Dr. Somayeh Sohrabi, Dr. Leila Hajshahvaladi, Dr. Hamidreza Ahmadzadeh, Dr. Seyed Mohammad Amin Ojagh, Dr. Farnaz Heidarpoor, MSc. Farnaz Dana, MSc. Ehsan Sohrabi, Prof. Mostafa Keshavarz Moraveji
{"title":"Micro Heat Exchanger: Design, Operation and Economics","authors":"Dr. Somayeh Sohrabi, Dr. Leila Hajshahvaladi, Dr. Hamidreza Ahmadzadeh, Dr. Seyed Mohammad Amin Ojagh, Dr. Farnaz Heidarpoor, MSc. Farnaz Dana, MSc. Ehsan Sohrabi, Prof. Mostafa Keshavarz Moraveji","doi":"10.1002/ceat.202400084","DOIUrl":"https://doi.org/10.1002/ceat.202400084","url":null,"abstract":"<p>Where precision is paramount in managing temperature and fluid dynamics, micro heat exchangers (MHXs) emerge as indispensable tools. This review investigates the significance of MHX technology, offering readers a comprehensive roapmap from conceptualization to market application. We dissect the nuances of material selection, shedding light on cutting-edge advancements poised to revolutionize MHX efficiency. Furthermore, we explore how the geometry of MHX influences heat transfer dynamics and pressure drop, providing insights into enhancing the overall effectiveness. We delve into the various types of control instrumentation, offering a detailed analysis of their applicability. Beyond the technical prowess, the economic landscape plays a pivotal role in the adoption of MHX technology.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"48 2","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143431335","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 Deep Neural Network Technology for Multi-scale CFD Modeling in Porous Media","authors":"Jiaxu Li, Tingting Liu, Shuqin Jia, Chao Xu, Tingxuan Fan, Ying Huai","doi":"10.1002/ceat.202200564","DOIUrl":"https://doi.org/10.1002/ceat.202200564","url":null,"abstract":"<p>System-scale computational fluid dynamics (CFD) simulations in chemical and process engineering remain limited owing to the complexity of integrating the results obtained at different scales. The present study addresses this issue by correlating the flow behaviors calculated by CFD in porous media at the micro-scale and the macro-scale using deep neural network (DNN) technology. The DNN model is trained using a dataset constructed from the results obtained for a large number of particle-scale CFD simulations that are coupled to macroscopic governing equations. Comparisons with experimental results obtained with a packed bed show that the proposed CFD-DNN method provides predictions of pressure drop with an accuracy that is 28% greater than that of a method based on the Ergun equation.</p>","PeriodicalId":10083,"journal":{"name":"Chemical Engineering & Technology","volume":"47 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665934","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}