Sub-grid modeling of heat transfer in gas-solid fluidized flows

• Grant number: 23/06125-1
• Support Opportunities: Regular Research Grants
• Start date: November 01, 2023
• End date: October 31, 2025
• Field of knowledge: Engineering - Mechanical Engineering - Transport Phenomena
• Principal Investigator: Fernando Eduardo Milioli
• Grantee: Fernando Eduardo Milioli
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• City of the host institution: São Carlos
• Associated researchers: Christian Lea Coelho da Costa Milioli
• Associated research grant(s): 25/17140-7 - 2025 AIChE Annual Meeting, AR.EXT

Abstract

In the previous project focus was directed towards sub-grid hydrodynamic modeling of fluidized bed reactor gas-solid flows (FAPESP grant 2019/17707-6). The studies are now extended to also include heat transfer sub-grid modeling. Gas-solid fluidized bed reactors are widely applied in chemical, petrochemical and energy industries. Are of higher interest applications like catalytic cracking of petrol, combustion and gasification of fossil and renewable fuels, and pollutant emission control processes such as desulfurization and carbon capture. The development of fluidized bed reactors is an empirical science, based on successive gradually scaled demonstration plants, involving extremely high costs and extended implementation times. This scenario has prompted a growing expectation of using computational simulation as an auxiliary or even replacing tool to the expensive empirical developments. Aligned in this context, the current project has an ultimate goal of contributing for the habilitation of CFDs as realistic tools for optimization, design and scaling of industrial scale fluidized bed reactors. In particular, it is aimed to contribute for the formulation of enhanced mathematical modeling through the proposition of growingly accurate heat transfer sub-grid closure models. The major impact of this project will be over the state of the art, in practice contributing for the viability of: i. research tools of higher accuracy, for the scientific community; ii. more realistic work tools for design, optimization and scaling of industrial plants, for engineers and researchers in industry. (AU)