Accurate and verifiable lower-order model for radiation transport through purely absorbing particle clouds by Dr Immanuvel Paul

Location and Date: 
Wednesday, 29 July 2020, 10:00, Online


Accurate modelling and simulation of energy systems with a lower computational cost remains an immense interest to many industries. In this talk, I consider modelling of particle-based solar receiver concerning its lower-order multiscale and multiphysics modelling aspects. Particularly, I consider the radiation transport through particle-laden turbulence for this application of interest. The gold-standard solution to this problem, the Monte-Carlo ray-tracing method, is computationally expensive. Therefore, cost-efficient lower-order models such as
the discrete ordinates method (DOM), where we model the radiation transport through the radiation transport equation (RTE) and then solve the RTE on a Eulerian mesh, is often preferred in industries. The solution of DOM, however, diverges when we refine our Eulerian mesh closer to or smaller than the particle size, which means there is no verifiable radiation solution using lower-order methods.

Concerning this issue, I ask the following question: can we ever have a verifiable lower-order radiation solution?. To answer this question, I developed novel numerical techniques based on (i) filtering and (ii) physics-based energy approaches to circumvent this issue to make DOM a verifiable solution to the RTE.


Dr Immanuvel Paul is currently a postdoctoral research fellow at the Center for Turbulence Research (CTR), Stanford University, USA since March 2018. His current postdoctoral research is funded by the Department of Energy and it focuses on dispersed multiphase flow related to nuclear and energy industry. Particularly, he has been studying modelling of bubble induced turbulence and radiation transport through particle-laden turbulence. Dr Paul obtained his PhD from Imperial College London in May 2017 where his PhD was funded by the prestigious Marie-Curie fellowship. His PhD focused on the fundamental aspects of non-equilibrium multi-scale turbulence and its role in mixing and heat transfer. His PhD thesis was awarded runner-up in Aeronautics PhD prize 2017. Dr Paul has also worked on developing immersed boundary method solver and laminar momentum and thermal wakes for his MS from IIT Madras. Dr Paul is interested in using computational techniques to model and to study multiscale and multiphysics systems at both fundamental and application levels.