Work

Hierarchical Model Predictive Control for Waste Heat Recovery in Steel Mills

Year: 2024

Type: conference-paper

Abstract: We propose a novel, two-layered hierarchical scheme for waste heat recovery, here applied to the relevant case of the steel mill industry. To showcase the effectiveness of the proposed approach, we introduce a new recirculating water cooling system and conceive the hierarchical scene to maximize its operational efficiency while concurrently containing computational efforts. Our preliminary simulation results are promising, showcasing the advantages of the proposed solution in operational costs and computational capabilities.

Source: IEEE Conference on Control Technology and Applications (CCTA)

DOI: 10.1109/ccta60707.2024.10666651

Authors: Gianluca Giacomelli, Alessio La Bella, Marco Lauricella, Valentina Breschi, Riccardo Scattolini

Institutions: Eindhoven University of Technology, Politecnico di Milano, ABB (Germany)

Language: English

Topic: Advanced Control Systems Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Responsible consumption and production, Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4402437184

FWCI:

Cites: 12

Cited by:

Related to: 10