Industrial Symbiosis Improvement with Digital Twins

Aleksandar Anastasovski

2025

Abstract

Digital twins (DTs) are dynamic digital representations of physical systems that accurately depict their behaviour and states through virtual space over their lifetime. They are built on models and computer programs that use real-time data from sensors or IoT devices. DTs serve as a bridge between the physical and virtual worlds, enabling real-time tracking, data analysis, and simulation of various scenarios. They facilitate remote management, immediate intervention, and data-driven decision-making across industries. The implementation of DT principles in industrial symbiosis can optimize resource usage, improve collaboration, and create more sustainable production systems. However, the lack of system integration with information and communication technology tools and the complexity of knowledge sharing within symbiosis networks delay its effective implementation. To establish DTs in IS, a systematic approach is required, involving the specification of exchange processes, determination of bottlenecks, prioritization of integrated parts, and the creation of mathematical models and simulations. The benefits of DTs in IS include reduced time to market, reduced waste and energy consumption, improved performance monitoring, and enhanced collaboration between teams. Future developments needed for IS include addressing the lack of big data for training ML models, ensuring data security, establishing standards and regulations, and overcoming observability and controllability issues.

Paper Citation

in Harvard Style

Anastasovski A. (2025). Industrial Symbiosis Improvement with Digital Twins. In Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS; ISBN 978-989-758-783-2, SciTePress, pages 38-47. DOI: 10.5220/0014292100004848

in Bibtex Style

@conference{iceeecs25,
author={Aleksandar Anastasovski},
title={Industrial Symbiosis Improvement with Digital Twins},
booktitle={Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS},
year={2025},
pages={38-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014292100004848},
isbn={978-989-758-783-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS
TI - Industrial Symbiosis Improvement with Digital Twins
SN - 978-989-758-783-2
AU - Anastasovski A.
PY - 2025
SP - 38
EP - 47
DO - 10.5220/0014292100004848
PB - SciTePress