A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries

Nicolò Bertozzi, Anna Geraci, Letizia Bergamasco, Letizia Bergamasco, Enrico Ferrera, Edoardo Pristeri, Claudio Pastrone

2025

Abstract

This paper presents a novel distributed architecture designed to spawn digital twin solutions to improve energy efficiency in energy-intensive industrial scenarios. By executing user-defined workflows, our platform enables the implementation of real-time monitoring, forecasting, and simulation microservices to enhance decision-making strategies for optimizing industrial processes. Leveraging a stateless centralized orchestration mechanism built around an Apache Kafka-based backbone, the platform ensures scalability, fault tolerance, and efficient handling of heterogeneous data. Key features include intuitive workflow configuration, asynchronous communication for streamlined workflow execution, and API-driven scheduling for dynamic, event-based task management. This platform will be deployed and validated in several energy-intensive industrial scenarios, supporting the management of energy systems of different plants, to prove its effectiveness across a wide range of energy management challenges.

Paper Citation

in Harvard Style

Bertozzi N., Geraci A., Bergamasco L., Ferrera E., Pristeri E. and Pastrone C. (2025). A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries. In Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; ISBN 978-989-758-750-4, SciTePress, pages 337-344. DOI: 10.5220/0013364400003944

in Bibtex Style

@conference{iotbds25,
author={Nicolò Bertozzi and Anna Geraci and Letizia Bergamasco and Enrico Ferrera and Edoardo Pristeri and Claudio Pastrone},
title={A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries},
booktitle={Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
year={2025},
pages={337-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013364400003944},
isbn={978-989-758-750-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS
TI - A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries
SN - 978-989-758-750-4
AU - Bertozzi N.
AU - Geraci A.
AU - Bergamasco L.
AU - Ferrera E.
AU - Pristeri E.
AU - Pastrone C.
PY - 2025
SP - 337
EP - 344
DO - 10.5220/0013364400003944
PB - SciTePress