Identification of Relevant Geometric Parameters Through Screening Sensitivity Analysis in CFD model of Centrifugal Compressor

• Grant number: 24/16470-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2024
• End date: October 31, 2025
• Field of knowledge: Engineering - Mechanical Engineering - Thermal Engineering
• Principal Investigator: Elóy Esteves Gasparin
• Grantee: Guilherme Soares Gil
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil

Abstract

Centrifugal compressors have a wide range of applications, one of which, is their use in oil extraction, a process that also results in the extraction of carbon dioxide stored in the reservoir. The management of this extracted carbon dioxide has become a strategic issue, with Enhanced Oil Recovery (EOR) being an approach adopted to minimize the compression work required and reduce the associated carbon footprint. In this context, the development of a specific and efficient compressor is essential, as the geometry of the compressor, where small changes can lead to significant performance variations, requires meticulous optimization work. To reduce the computational costs involved, a preliminary sensitivity analysis (SA) will be conducted, which is the focus of this work. Two methods will be used for this analysis: the Morris method and the Fractional Factorial method, applied to a model developed in the ANSYS Turbogrid and CFX software, with convergence criteria based on the Root Mean Squared (RMS) residual of the equations and the average of the standard deviation of the isentropic efficiency. The goal is to identify, among the analyzed parameters, such as the number of blades and the ratios at the leading and trailing edges, those that have the greatest influence on the efficiency of the compressor.