Wenjun Chang , Wenhe Wang , Youwei Guo , Yu Guang , Linyuan Wang , Zhiyong Li , Hongwei Song
{"title":"预测高压气体泄漏时的气体状态特性和流动参数","authors":"Wenjun Chang , Wenhe Wang , Youwei Guo , Yu Guang , Linyuan Wang , Zhiyong Li , Hongwei Song","doi":"10.1016/j.jlp.2024.105391","DOIUrl":null,"url":null,"abstract":"<div><p>The accurate assessment of combustible gases leaking from high-pressure storage facilities is fundamental to disaster prevention and accident rescue. The current computing methods of gas leakage commonly fail to account for the actual behavior of high-pressure gases and gas leakage resistance, leading to inaccuracies in predicting high-pressure gas leakage. This study established a gas leakage process model based on the Peng-Robinson equation of state, considering the effects of the molecular volume and intermolecular forces on the properties of high-pressure gas. Factors affecting the resistance correction coefficient of the leakage model were investigated in conjunction with the CFD simulation results to provide a formula of gas leakage resistance coefficient. The proposed model is compared with existing models and validated using experimental data. It was found that the proposed model was able to obtain more satisfactory results. The margin of error of modified leakage model remains below 12%, providing robust support for accurately evaluating the consequences of high-pressure gas leakage accidents. The current findings are of significance for the design of high-pressure gas storage and transportation systems in future.</p></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of gas state properties and flow parameters during high-pressure gas leakage\",\"authors\":\"Wenjun Chang , Wenhe Wang , Youwei Guo , Yu Guang , Linyuan Wang , Zhiyong Li , Hongwei Song\",\"doi\":\"10.1016/j.jlp.2024.105391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The accurate assessment of combustible gases leaking from high-pressure storage facilities is fundamental to disaster prevention and accident rescue. The current computing methods of gas leakage commonly fail to account for the actual behavior of high-pressure gases and gas leakage resistance, leading to inaccuracies in predicting high-pressure gas leakage. This study established a gas leakage process model based on the Peng-Robinson equation of state, considering the effects of the molecular volume and intermolecular forces on the properties of high-pressure gas. Factors affecting the resistance correction coefficient of the leakage model were investigated in conjunction with the CFD simulation results to provide a formula of gas leakage resistance coefficient. The proposed model is compared with existing models and validated using experimental data. It was found that the proposed model was able to obtain more satisfactory results. The margin of error of modified leakage model remains below 12%, providing robust support for accurately evaluating the consequences of high-pressure gas leakage accidents. The current findings are of significance for the design of high-pressure gas storage and transportation systems in future.</p></div>\",\"PeriodicalId\":16291,\"journal\":{\"name\":\"Journal of Loss Prevention in The Process Industries\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Loss Prevention in The Process Industries\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0950423024001499\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Loss Prevention in The Process Industries","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950423024001499","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Prediction of gas state properties and flow parameters during high-pressure gas leakage
The accurate assessment of combustible gases leaking from high-pressure storage facilities is fundamental to disaster prevention and accident rescue. The current computing methods of gas leakage commonly fail to account for the actual behavior of high-pressure gases and gas leakage resistance, leading to inaccuracies in predicting high-pressure gas leakage. This study established a gas leakage process model based on the Peng-Robinson equation of state, considering the effects of the molecular volume and intermolecular forces on the properties of high-pressure gas. Factors affecting the resistance correction coefficient of the leakage model were investigated in conjunction with the CFD simulation results to provide a formula of gas leakage resistance coefficient. The proposed model is compared with existing models and validated using experimental data. It was found that the proposed model was able to obtain more satisfactory results. The margin of error of modified leakage model remains below 12%, providing robust support for accurately evaluating the consequences of high-pressure gas leakage accidents. The current findings are of significance for the design of high-pressure gas storage and transportation systems in future.
期刊介绍:
The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals.