Composite SVR Based Modelling of an Industrial Furnace

Abstract

Industrial furnaces consume a large amount of energy and their operating points have a major influence on the quality of the final product. Designing a tool that analyzes the combustion process, fluid mechanics and heat transfer and assists the work done during energy audits is then of the most importance. This work proposes a hybrid model for such a tool, having as its base two white-box models, namely a detailed Computational Fluid Dynam- ics (CFD) model and a simplified Reduced-Order (RO) model, and a black-box model developed using Machine Learning (ML) techniques. The preliminary results presented in the paper show that this com- posite model is able to improve the accuracy of the RO model without having the high computational load of the CFD model.