BEOP: A Framework Enabling Validation of Realworld Energy Management Systems

With the rise of renewable energy, electric vehicles, and batteries, residential buildings are evolving into prosumers, requiring energy management systems (EMSs) to optimize selfconsumption and grid support. Simulations often fail to capture real-world complexities such as fluctuating weather, hardware behavior, and communication delays. To address this, we present the Building Energy Operation Platform (BEOP), a modular and scalable framework for validating real-world EMSs. BEOP supports various EMS types, integrates hardware and software components, and allows multi-resolution performance analysis. Demonstrated through a schedule-based optimization use case, we highlight the impact of real-world factors on EMS performance and advance research in forecasting, optimization, and grid stability.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/pedg62294.2025.11060365
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

BEOP: A Framework Enabling Validation of Realworld Energy Management Systems

Ralf Mikut, Friedrich Wiegel, Veit Hagenmeyer, Johannes Galenzowski et al.
Smart Grid Energy Management
article

BEOP: A Framework Enabling Validation of Realworld Energy Management Systems

Ralf Mikut, Friedrich Wiegel, Veit Hagenmeyer, Johannes Galenzowski, Simon Waczowicz, Janik Pinter, Kevin Förderer, Maximilian Beichter, Tobias Moser, Sebastian Beichter, Alexander Nöthel
article en

Abstract

With the rise of renewable energy, electric vehicles, and batteries, residential buildings are evolving into prosumers, requiring energy management systems (EMSs) to optimize selfconsumption and grid support. Simulations often fail to capture real-world complexities such as fluctuating weather, hardware behavior, and communication delays. To address this, we present the Building Energy Operation Platform (BEOP), a modular and scalable framework for validating real-world EMSs. BEOP supports various EMS types, integrates hardware and software components, and allows multi-resolution performance analysis. Demonstrated through a schedule-based optimization use case, we highlight the impact of real-world factors on EMS performance and advance research in forecasting, optimization, and grid stability.

Karlsruhe Institute of Technology (DE)
Helmholtz-Gemeinschaft, Deutsche Forschungsgemeinschaft
Affordable and clean energy
Openalex Percentile: Top 85%
Smart Grid Energy Management
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BEOP: A Framework Enabling Validation of Realworld Energy Management Systems — Ralf Mikut, Friedrich Wiegel, et al. · (2025) | TGRS Research Map | TGRS