{"title":"过程模拟器COCO:甲烷氧化模拟及其与商业模拟器预测的一致性","authors":"Toyese OYEGOKE","doi":"10.1515/cppm-2023-0035","DOIUrl":null,"url":null,"abstract":"Abstract It is impossible to overstate the value of process simulators in teaching process engineers about petrochemical, chemical, nuclear, and biological processes. Several chemical engineering topics, including process design, thermodynamics, process integration, separation processes, safety, and others, are made easier to teach because of this. Only a handful of these process simulators are freeware, while most are largely commercial. The ones that are commercialized are renowned for their friendliness, extensive media coverage, and international credibility attained for their forecasts in several industrial applications. However, schools in low-income countries may not be able to buy them. In contrast, the freeware publicity is not relatively low, less friendly, and cheaper than the commercial ones. This research compares the agreement of the forecast of commercial process simulators with freeware ones in an effort to strengthen institutions’ trust in the prediction of freeware process simulators. The analysis modeled and simulated a chemical process involving the Gibbs reactor, heater, compressor, and mixer in the COCO and Aspen HYSYS simulators. Findings from the research reveal good agreement in the predicted results obtained from the various process simulators. With the use of COCO, different possible methane oxidation routes were analyzed. The analysis confirmed that the route leading to the formation of CO2 and water would be less energetic than other routes. In addition, the formation of water would be much easier in the process than hydrogen at the condition employed in the study. Due to cost, the study recommends using the freeware process simulator instead of the cracked version, which is often utilized in educating process engineers and research projects in communities where research and education are poorly funded.","PeriodicalId":9935,"journal":{"name":"Chemical Product and Process Modeling","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COCO, a process simulator: methane oxidation simulation & its agreement with commercial simulator’s predictions\",\"authors\":\"Toyese OYEGOKE\",\"doi\":\"10.1515/cppm-2023-0035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract It is impossible to overstate the value of process simulators in teaching process engineers about petrochemical, chemical, nuclear, and biological processes. Several chemical engineering topics, including process design, thermodynamics, process integration, separation processes, safety, and others, are made easier to teach because of this. Only a handful of these process simulators are freeware, while most are largely commercial. The ones that are commercialized are renowned for their friendliness, extensive media coverage, and international credibility attained for their forecasts in several industrial applications. However, schools in low-income countries may not be able to buy them. In contrast, the freeware publicity is not relatively low, less friendly, and cheaper than the commercial ones. This research compares the agreement of the forecast of commercial process simulators with freeware ones in an effort to strengthen institutions’ trust in the prediction of freeware process simulators. The analysis modeled and simulated a chemical process involving the Gibbs reactor, heater, compressor, and mixer in the COCO and Aspen HYSYS simulators. Findings from the research reveal good agreement in the predicted results obtained from the various process simulators. With the use of COCO, different possible methane oxidation routes were analyzed. The analysis confirmed that the route leading to the formation of CO2 and water would be less energetic than other routes. In addition, the formation of water would be much easier in the process than hydrogen at the condition employed in the study. Due to cost, the study recommends using the freeware process simulator instead of the cracked version, which is often utilized in educating process engineers and research projects in communities where research and education are poorly funded.\",\"PeriodicalId\":9935,\"journal\":{\"name\":\"Chemical Product and Process Modeling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Product and Process Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/cppm-2023-0035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Product and Process Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/cppm-2023-0035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
COCO, a process simulator: methane oxidation simulation & its agreement with commercial simulator’s predictions
Abstract It is impossible to overstate the value of process simulators in teaching process engineers about petrochemical, chemical, nuclear, and biological processes. Several chemical engineering topics, including process design, thermodynamics, process integration, separation processes, safety, and others, are made easier to teach because of this. Only a handful of these process simulators are freeware, while most are largely commercial. The ones that are commercialized are renowned for their friendliness, extensive media coverage, and international credibility attained for their forecasts in several industrial applications. However, schools in low-income countries may not be able to buy them. In contrast, the freeware publicity is not relatively low, less friendly, and cheaper than the commercial ones. This research compares the agreement of the forecast of commercial process simulators with freeware ones in an effort to strengthen institutions’ trust in the prediction of freeware process simulators. The analysis modeled and simulated a chemical process involving the Gibbs reactor, heater, compressor, and mixer in the COCO and Aspen HYSYS simulators. Findings from the research reveal good agreement in the predicted results obtained from the various process simulators. With the use of COCO, different possible methane oxidation routes were analyzed. The analysis confirmed that the route leading to the formation of CO2 and water would be less energetic than other routes. In addition, the formation of water would be much easier in the process than hydrogen at the condition employed in the study. Due to cost, the study recommends using the freeware process simulator instead of the cracked version, which is often utilized in educating process engineers and research projects in communities where research and education are poorly funded.
期刊介绍:
Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.