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Advanced design and control of CO2 capture systems (T02-P02-LBP1)

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Advanced design and control of CO2 capture systems (T02-P02-LBP1)

Phase:	Theme
Theme:	Carbon CUS (T02)
StatusStatut:	Active
Start DateDate de début:	2024-11-01
End DateDate de fin:	2026-11-30
Principal Investigator
Prasad, Vinay

Project Assistants

Thosar, Devavrat

Alumni HQP

Thosar, Devavrat

Aperçu de Project Overview

Adsorption processes for post combustion carbon capture are a promising alternative for solvent based energy intensive processes. Literature lacks a comprehensive understanding on modeling, optimization and control of such processes. This work aims to apply hybrid machine learning strategies to develop digital twins for pressure swing adsorption. The digital twins will be used for addressing the grand challenge of process+materials optimization and also for development of advanced process control strategies.

Outputs

Title	Category	Date	Authors
A novel hybrid neural network for modeling dynamic systems using physics-informed regularization University of Alberta	Publication	2025-01-01	Thosar, D., Abhijit Bhakte, Li, Z., Rajagopalan Srinivasan, Prasad, V.
Adaptive physics-informed neural network-based digital twins integrated with Ensemble Kalman Filter University of Alberta	Publication	2026-01-01	Thosar, D., Abhijit Bhakte, Li, Z., Rajagopalan Srinivasan, Prasad, V.
Online parameter estimation and model maintenance using parameter-aware physics-informed neural network University of Alberta	Publication	2026-01-01	Thosar, D., Abhijit Bhakte, Li, Z., Rajagopalan Srinivasan, Prasad, V.

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