Controllability analysis and optimal control of biomass drying with reduced order models

TL;DR

This paper demonstrates how reduced order models can be effectively derived from complex CFD simulations to analyze controllability and optimize control strategies in industrial biomass drying processes.

Contribution

It introduces a method to derive reduced order models from CFD simulations for controllability analysis and optimal control in biomass drying.

Findings

Reduced order models accurately approximate complex CFD simulations.

The models enable efficient controllability analysis.

Optimal control strategies can be designed using the reduced models.

Abstract

Complex industrial processes such as the drying of combustible biomass can be modeled with computational fluid dynamics simulations. Due to their complexity, it is not straightforward to use these models for the analysis of system properties or for solving optimal control problems. We show reduced order models can be derived and used for these purposes for industrial drying processes.