Analysis and Design of Smart Components in Digital Energy Twins

Katharina Legler, Muhammad Sheheryar Jajja, Klaus Volbert

2025

Abstract

The energy crisis, energy demand growth, and dependence on fossil fuels worldwide have made urgent action necessary for us to seek sustainability in energy production and use. Digital technologies, especially Digital Energy Twins, have immense potential to reduce energy consumption, thereby reducing environmental impacts, particularly in the building sector. This paper presents the development of a digital energy twin that supports sustainable energy consumption analysis and optimization. Our study begins with a comprehensive analysis of the energy consumption data, the weather data, and the building plans as a solid basis for the analysis. We identify key energy consumption trends and patterns across different timescales and device-specific details that could be optimized, such as base load consumption and device-specific inefficiencies. A key part of our work is forecasting energy consumption using time series models, such as the ARIMA model, which promises to be useful in identifying patterns for improving energy efficiency. Overall, our study provides valuable insights into energy optimization and could form the base for further advances in digital energy twins at OTH Regensburg, helping to contribute to its sustainable development goals and smart campus initiatives.

Paper Citation

in Harvard Style

Legler K., Jajja M. and Volbert K. (2025). Analysis and Design of Smart Components in Digital Energy Twins. 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 263-272. DOI: 10.5220/0013289900003944

in Bibtex Style

@conference{iotbds25,
author={Katharina Legler and Muhammad Jajja and Klaus Volbert},
title={Analysis and Design of Smart Components in Digital Energy Twins},
booktitle={Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
year={2025},
pages={263-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013289900003944},
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 - Analysis and Design of Smart Components in Digital Energy Twins
SN - 978-989-758-750-4
AU - Legler K.
AU - Jajja M.
AU - Volbert K.
PY - 2025
SP - 263
EP - 272
DO - 10.5220/0013289900003944
PB - SciTePress