SIMULACIONES CFD (COMPUTATIONAL FLUID DYNAMICS) DE CÁMARAS DE FILTROS PARA TURBINA DE GAS DE CENTRALES ELÉCTRICAS: EVALUACIÓN DE DIFERENCIAS ENTRE MODELOS 2D Y 3D
Vincenzo Castorani, Daniele Landi, M. Mandolini, Michele Germani
{"title":"SIMULACIONES CFD (COMPUTATIONAL FLUID DYNAMICS) DE CÁMARAS DE FILTROS PARA TURBINA DE GAS DE CENTRALES ELÉCTRICAS: EVALUACIÓN DE DIFERENCIAS ENTRE MODELOS 2D Y 3D","authors":"Vincenzo Castorani, Daniele Landi, M. Mandolini, Michele Germani","doi":"10.6036/8901","DOIUrl":null,"url":null,"abstract":"Gas turbines consume a large volume of ambient air during in-service condition. The quality of air incoming the system is essential to the performance and longevity of a gas turbine. A filtration mechanism is employed to regulate air quality by removing contaminants. For high-powered turbines, the filter system can be composed by hundreds of single filters. Therefore, to achieve the best performance, a carefully design is needed. However, a correct sizing of the filtering houses is often complex. Their dimensions and manufacturing costs make design and experimentation difficult. Numerical modeling has been playing a crucial role in the design and optimization of complex products/systems. In literature, various methods have been proposed to reduce computational resources and speed-up the simulation process. The hypothesis of bi-dimensional flow represents one of the most used strategy in different industrial cases. Much research in recent years were focused on establishing the results accuracy of 2D simulation models compared to 3D ones. The aim of this study is to propose a method to design and optimize filter houses, which integrates, in a unique framework, 3D and 2D simulations models. The latter are exploited to speed-up the design process, reducing computational time and resources. 2D simulation models have been defined according to physically validated 3D simulations. The error in estimating the temperature, pressure and velocity fields using 2D simulation models, considering 3D ones as reference, is less than 5%.\n\nKeywords: Filter House, Computational Fluid Dynamics, CFD, Virtual Prototyping, 2D Modelling, Power Plant Gas Turbine","PeriodicalId":11386,"journal":{"name":"Dyna","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dyna","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.6036/8901","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Gas turbines consume a large volume of ambient air during in-service condition. The quality of air incoming the system is essential to the performance and longevity of a gas turbine. A filtration mechanism is employed to regulate air quality by removing contaminants. For high-powered turbines, the filter system can be composed by hundreds of single filters. Therefore, to achieve the best performance, a carefully design is needed. However, a correct sizing of the filtering houses is often complex. Their dimensions and manufacturing costs make design and experimentation difficult. Numerical modeling has been playing a crucial role in the design and optimization of complex products/systems. In literature, various methods have been proposed to reduce computational resources and speed-up the simulation process. The hypothesis of bi-dimensional flow represents one of the most used strategy in different industrial cases. Much research in recent years were focused on establishing the results accuracy of 2D simulation models compared to 3D ones. The aim of this study is to propose a method to design and optimize filter houses, which integrates, in a unique framework, 3D and 2D simulations models. The latter are exploited to speed-up the design process, reducing computational time and resources. 2D simulation models have been defined according to physically validated 3D simulations. The error in estimating the temperature, pressure and velocity fields using 2D simulation models, considering 3D ones as reference, is less than 5%.
Keywords: Filter House, Computational Fluid Dynamics, CFD, Virtual Prototyping, 2D Modelling, Power Plant Gas Turbine
期刊介绍:
Founded in 1926, DYNA is one of the journal of general engineering most influential and prestigious in the world, as it recognizes Clarivate Analytics.
Included in Science Citation Index Expanded, its impact factor is published every year in Journal Citations Reports (JCR).
It is the Official Body for Science and Technology of the Spanish Federation of Regional Associations of Engineers (FAIIE).
Scientific journal agreed with AEIM (Spanish Association of Mechanical Engineering)
In character Scientific-technical, it is the most appropriate way for communication between Multidisciplinary Engineers and for expressing their ideas and experience.
DYNA publishes 6 issues per year: January, March, May, July, September and November.