Dynamic programming model for a thermal energy storage-based heat recovery system in a process industry plant

A collaboration between ISQ, CERENA-IST, CERENA-ISEL, Brunel University of London and Università degli Studi di Modena e Reggio Emilia.

Improving energy efficiency and reducing carbon emissions are key challenges for sustainable industrial development. In this context, waste heat recovery has emerged as one of the most promising strategies to capture and reuse energy that would otherwise be lost.

This article presents an innovative dynamic programming model designed to optimize heat recovery systems integrated with thermal energy storage in industrial processes. The proposed approach enhances energy management, improves operational efficiency, and supports the transition toward more sustainable industrial systems.

By providing advanced modelling and optimization tools, this research contributes to the development of smarter and more efficient energy solutions, helping industries move closer to global decarbonization goals and a more sustainable energy future.

doi.org/10.1016/j.tsep.2026.104631

Miguel Castro Oliveira et al.