Simulations of particle laden turbulence in a radiation environment using heterogeneous high performance computing systems

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Abstract/Contents

Abstract
The Predictive Science Academic Alliance Program (PSAAP) II at Stanford University investigated particle-laden turbulent flows in a radiation environment for concentrated solar power (CSP) applications. Over the course of the PSAAP project an extensive series of laboratory scale experiments and corresponding high fidelity simulations were designed and conducted for a conceptual volumetric solar energy receiver design. The configuration of interest involved the coupling of three distinct physical phenomena: fluid turbulence, particle dynamics, and the transport of thermal radiation. The work presented in this thesis is primarily focused on computational thermal radiation transport and multi-physics simulations of this conceptual solar energy receiver. The governing equations and numerical methods used to model the three major physical processes relevant to the PSAAP application (fluid, particles, and radiation) are presented. The couplings between the various processes are discussed due to their consequence on the data communication required by the computational solvers. The computational expense required to perform simulations of the PSAAP apparatus, due to the large range of length and time scales that needed to be resolved, required the use of high performance computing (HPC) systems. An overview of the multi-physics solver that was developed to simulate the physical processes relevant to the PSAAP application, Soleil-X, is given. Soleil-X used the Legion programming system, through the Regent programming language, in order to effectively use high performance computing systems with a variety of diverse architectures. A series of high fidelity radiative boundary conditions for the PSAAP multi-physics simulations were generated using specially developed emission models based on the radiation source used in the PSAAP experiments. The development, validation, and implementation of the custom emission models in the Monte Carlo Ray Tracing (MCRT) solver in Soleil-X are discussed. Then the full capability of Soleil-X is demonstrated with a multi-physics simulation of a particle laden open jet with co-flow that was radiatively heated with 10 [kW] of radiation.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English

Creators/Contributors

Author Torres, Hilario Cardenas
Degree supervisor Iaccarino, Gianluca
Thesis advisor Iaccarino, Gianluca
Thesis advisor Aiken, Alexander
Thesis advisor Mani, Ali, (Professor of mechanical engineering)
Degree committee member Aiken, Alexander
Degree committee member Mani, Ali, (Professor of mechanical engineering)
Associated with Stanford University, Department of Mechanical Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Hilario Cardenas Torres.
Note Submitted to the Department of Mechanical Engineering.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/vs144rs2446

Access conditions

Copyright
© 2021 by Hilario Cardenas Torres
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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