Work

Agent-Driven Energy Optimization in Modular Manufacturing Systems

Year: 2025

Type: article

Abstract: This work presents a modular framework that integrates digital twins with intelligent agents for increasing energy efficiency and reducing emissions of manufacturing systems. The presented framework includes real-time monitoring with dynamic thresholding for enhancing sustainability, scalability, and operational effectiveness. Demonstrated through synthetic data simulations, the approach shows measurable improvements in energy consumption and CO 2 emissions, justified by two main methods: variable monitoring and adaptive parameter control. The results underline the important role of intelligent agents and digital twins in enabling sustainable and circular manufacturing technologies, according to the principles of Industry 4.0 and strategies for future-ready production.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.09.396

Authors: Maria Gabriela Juarez Juarez, Adriana Giret, Vicente Botti

Institution: Universitat Politècnica de València

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Climate action, Responsible consumption and production

Open Access status: diamond

Funder: European Regional Development Fund