Energy OFFIS

Energy

The world-wide CO2 emissions have to be massively reduced and the dependency on fossil fuels has to be decreased. Solving climate problems is one of the central responsibilities of the society and economy of our time. Three approaches are pursued: application of renewable energy sources, conservation of energy and increasing energy efficiency.

However, how can the energy supply be restructured by new information technologies so that the fluctuating renewable energy sources, which are generally not demand-oriented, are able to support a reliable power supply? How can a large number of highly efficient combined heat and power plants (CHP) be integrated into energy management? How can the constantly increasing energy consumption of IT itself be reduced?

A second challenge faces us from our political guidelines: The formerly required energy monopolies for uninterrupted service are questioned today and are increasingly split apart by legislation. This entails new business processes and stakeholders (e.g. using electronic meters). The information and communications technologies (ICT) help to find answers for these challenges of the future and to suitably implement them.

OFFIS as designer

For many years OFFIS has been researching and developing ICT-based concepts and prototypical systems for the energy industry and energy efficiency. Thus, for example decisive contributions were made to the IT integration of decentralized generator units into an energy management, for the energy efficiency in the IT from the computer chip to the computer center and for the management of large IT system landscapes in the energy supply which conform with the standards. In the forefront of all technological work is the contribution to the social and financial challenges of the energy questions of tomorrow. With these interdisciplinary questions we use our network of partners from other disciplines as well as our long-standing cooperation with manufacturers and users.

Concrete applications

We have classified our concrete applications of the division Energy's ICT-Research and -Development in the following R&D-Groups:

Data Integration and Processing
Distributed Artificial Intelligence
Energy-efficient Smart Cities
Power Systems Intelligence
Resilient Monitoring and Control
Standardized Systems Engineering and Assessment
Smart Grid Testing

Persons

N

Prof. Dr.-Ing. Astrid Nieße

E-Mail: astrid.niesse(at)offis.de

S

Michael Sonnenschein

E-Mail: Michael.Sonnenschein(at)offis.de

Jürgen Sauer

E-Mail: juergen.sauer(at)uni-oldenburg.de, Phone: +49 441 9722-122, Room: O46

R

Dr. Ing. Sebastian Rohjans

E-Mail: sebastian.rohjans(at)offis.de

L

Prof. Dr. rer. nat. Sebastian Lehnhoff

E-Mail: sebastian.lehnhoff(at)offis.de, Phone: +49 441 9722-240, Room: O50

K

Carsten Krüger

E-Mail: carsten.krueger(at)offis.de, Phone: +49 441 9722-733, Room: Flx-E

M

Prof. Dr.-Ing. habil. Jorge Marx Gómez

E-Mail: jorge.marx-gomez(at)offis.de, Phone: +49 441 798 - 4470, Room: A4-3-315

Dr. Ing. Jürgen Meister

E-Mail: juergen.meister(at)offis.de, Phone: +49 441 9722-170, Room: I6-E01

V

Dr.-Ing Eric Veith

E-Mail: eric.veith(at)offis.de, Phone: +49 441 9722-739, Room: E68

U

Dr. Ing. Mathias Uslar

E-Mail: mathias.uslar(at)offis.de, Phone: +49 441 9722-128, Room: O26

EN: Alle Personen aus dem Bereich Energy

Projects

J

Jade-Prof

Qualifizierungsprogramm Jade Professuren am OFFIS

Duration: 2024 - 2027

P

Process Mining

Verfahren und Werkzeuge zur Extraktion von Prozessmodellen aus ereignisbasierten Daten (sorry - only available in German)

Duration: -0001 - -0001

S

SSBV

Visualisierung von Sichten auf Schnittstellenbeschreibungen

(sorry - only available in german)

Duration: 2011 - -0001

U

UMLbaT

UML based Transformation

(sorry - only available in German)

Duration: 2012 - -0001

Publications

2025

Amplify: Multi-purpose flexibility model to pool battery energy storage systems

Paul Hendrik Tiemann, Marvin Nebel-Wenner, Stefanie Holly, Emilie Frost and Astrid Nieße; Applied Energy; 2025

BIB

Communication Modeling Approaches in Energy System Applications: A Systematic Overview

Radtke, Malin and Frost, Emilie and Nieße, Astrid and Lehnhoff, Sebastian; IEEE Access; 2025

DOI BIB

Enhancing Software Sustainability: Transferring Open-Science Solutions from ZLE to NFDI4Energy

Manzek, Luca and Niemann, Laura and Steinert, Alexandro and Wagner, Henrik and Werth, Oliver and Penaherrera, Fernando and Lier, Sarah K.; February / 2025

DOI BIB

Hybrid pathfinding optimization for the Lightning Network with Reinforcement Learning

Danila Valko and Daniel Kudenko; Engineering Applications of Artificial Intelligence; April / 2025

DOI BIB

Predictors of Sustainable Investment Motivation: An Interpretable Machine Learning Approach

Sergey Sosnovskikh and Danila Valko and Raphael Meyer-Alten; Sustainable Development; February / 2025

DOI BIB

Quantification of Data Imbalance

Wibbeke, Jelke and Rohjans, Sebastian and Rauh, Andreas; Expert Systems; 2025

URL DOI BIB