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Building-Level DC-Aware Energy Management System

Experimental Realization and Outcomes

Conference Paper (2025)
Author(s)

Hossein Nourollahi Hokmabad (Tallinn University of Technology)

Oleksandr Husev (Gdansk University of Technology)

Pedro Vergara Barrios (TU Delft - Intelligent Electrical Power Grids)

Jarek Kurnitski (Tallinn University of Technology)

Dmitri Vinnikov (Tallinn University of Technology)

Juri Belikov (Tallinn University of Technology)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1109/ICDCM63994.2025.11144724
More Info
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Publication Year
2025
Language
English
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
ISBN (print)
979-8-3315-1275-0
ISBN (electronic)
979-8-3315-1274-3
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper proposes a novel Direct Current (DC)aware building Energy Management System (EMS) platform. The proposed EMS is a comprehensive ecosystem that includes both the necessary hardware and software components to facilitate the transition of buildings toward compatibility with future intelligent power grids and DC Technologies. A key advantage of this platform is its hybrid topology, which enables simultaneous interfacing with and supply of both Alternating Current (AC) and DC loads. The platform integrates real-time monitoring, optimization, and solar power generation forecasting and demand forecasting units. The focus of this paper is the experimental realization of the proposed solution and an evaluation of the hardware and software performance during their synergetic operation.

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