Towards pragmatic interoperability: a conceptual framework for an energy IoT platform in the German energy sector

This paper introduces an innovative conceptual framework for an Energy Internet of Things (eIoT) platform designed to address challenges related to grid congestion, voltage limit violations, and the growing demands on low-voltage grids due to increased electrification in the energy and heating sectors. The proposed platform seamlessly integrates cutting-edge technologies including advanced data collection, state estimation algorithms, AI-driven decision-making processes, and grid control functionalities. Its primary objective is to facilitate proactive measures aimed at enhancing energy distribution efficiency and effectively managing consumption devices while ensuring compliance with regulatory standards such as §14a of the Energy Industry Act (EnWG) in Germany.

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Publication Details

Journal
IET conference proceedings.
Published
2025-01-01
DOI
https://doi.org/10.1049/icp.2024.1880
Citations
1
Primary Topic
Digital Innovation in Industries
Type
article
Field-Weighted Citation Impact
2.76
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article

Towards pragmatic interoperability: a conceptual framework for an energy IoT platform in the German energy sector

Alexander Fay, Alexandra Karmann, Maximilian Kilthau, Kamil Korotkiewicz et al.
1 citations
IET conference proceedings.
Digital Innovation in Industries
2.76
article

Towards pragmatic interoperability: a conceptual framework for an energy IoT platform in the German energy sector

Alexander Fay, Alexandra Karmann, Maximilian Kilthau, Kamil Korotkiewicz, Christian Derksen, Florian Thorsten Lutz Strobel, Lukas Bittermann, Jonas Ostmeyer
article en
1 citations

Abstract

This paper introduces an innovative conceptual framework for an Energy Internet of Things (eIoT) platform designed to address challenges related to grid congestion, voltage limit violations, and the growing demands on low-voltage grids due to increased electrification in the energy and heating sectors. The proposed platform seamlessly integrates cutting-edge technologies including advanced data collection, state estimation algorithms, AI-driven decision-making processes, and grid control functionalities. Its primary objective is to facilitate proactive measures aimed at enhancing energy distribution efficiency and effectively managing consumption devices while ensuring compliance with regulatory standards such as §14a of the Energy Industry Act (EnWG) in Germany.

IET conference proceedings.Vol. 2024(5)
Helmut Schmidt University (DE), Institute of Automation (DE), University of Duisburg-Essen (DE), Hamburg University of Technology (DE), Ruhr University Bochum (DE)
Affordable and clean energy
Openalex Percentile: Top 14%
Digital Innovation in Industries
2.76
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