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  1. Home
  2. Applications
  3. Energy
  4. Energy-efficient Smart Cities

Energy-efficient Smart Cities The ESC group looks at different aspects of digitalisation, which are becoming increasingly indispensable for the creation of energy-efficient districts and cities.

Reducing primary energy consumption and thus CO2 emissions is the central challenge for achieving the political climate targets. The current trend in medium-sized cities such as Oldenburg and rural areas towards increasing self-sufficient electricity supply through photovoltaic (PV) and small combined heat and power plants (CHP plants) is a first contribution to this. In order to fully exploit the potential of this trend, the electricity, heat and electric mobility sectors must be connected at neighbourhood level and the players involved must be connected to each other.

The Energie-efficient Smart Cities group looks at different aspects of digitalisation, which are becoming increasingly indispensable for the creation of energy-efficient districts and cities. These include:

  • Secure and standardised data communications for recording transmission of predominantly energy-related measured values from consumers and generators
  • Conception and development of federal data and service platforms for data processing and the implementation of diverse business models
  • Implementation and testing of algorithms for intelligent load and procurement management for decentralized generators and consumers at the neighbourhood level

The group's flagship project is the 'Energetic Neighbourhood Quarter at Oldenburg Air Base' project, in which the practical implementation of an energy-optimised quarter within the scope of the real laboratory at Oldenburg Air Base is aimed at.

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

Group Manager

Dr. Ing. Sven Rosinger
Dr. Ing.
Sven Rosinger

Persons

B

Jan-Henrik Bruhn

E-Mail: jan-henrik.bruhn(at)offis.de, Phone: +49 441 9722-404, Room: Flx-E

H

Alexander Hill

E-Mail: Alexander.hill(at)offis.de, Phone: +49 441 9722-164, Room: Flx-E

K

Pranay Kasturi

E-Mail: pranay.kasturi(at)offis.de, Phone: +49 441 9722-296

L

Ekaterina Lesnyak

E-Mail: ekaterina.lesnyak(at)offis.de, Phone: +49 441 9722-750, Room: Flx-E

P

Dr.-Ing. Fernando Andres Penaherrera Vaca

E-Mail: fernandoandres.penaherreravaca(at)offis.de, Phone: +49 441 9722-720, Room: I6-O09

Christian Pieper

E-Mail: christian.pieper(at)offis.de, Phone: +49 441 9722-239, Room: Flx-E

R

Markus Reinke

E-Mail: markus.reinke(at)offis.de, Phone: +49 441 9722-579, Room: Flx-E

Dr. Ing. Sven Rosinger

E-Mail: sven.rosinger(at)offis.de, Phone: +49 441 9722-242, Room: Flx-E

V

Danila Valko

E-Mail: danila.valko(at)offis.de, Phone: +49 441 9722-274

Projects

B

BMIL

Blockchain Machine ID Ledger

Duration: 2020 - 2021

E

ENaQ

Energetisches Nachbarschaftsquartier Fliegerhorst Oldenburg (sorry - only available in german)

Duration: 2018 - 2023

M

M2DC

Modular Microserver DataCentre

Duration: 2016 - 2019

Mobilitätswende

Mobilitätswende „spielerisch“ beschleunigen

Duration: 2021 - 2022

O

OpenEnergyTwin

Duration: 2024 - 2026

T

TEN.efzn

Transformation des Energiesystems Niedersachsen

Duration: 2024 - 2029

W

WWNW

WärmewendeNordwest – Digitalisierung zur Umsetzung von Wärmewende- und Mehrwertanwendungen für Gebäude, Campus, Quartiere und Kommunen im Nordwesten

Duration: 2021 - 2025

Z

ZLE

Zukunftslabor Digitalisierung Energie

Duration: 2019 - 2025

Publications

2025

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
Simulation of a Photovoltaic-Thermal (PV-T) Air Source Heat Pump (ASHP) System for Building Thermal Demands

Kasturi, Pranay and Torio, Herena and Schwarz, Jan Soeren; Proceedings of EuroSun 2024; 2025

URL DOI BIB

2024

1 Presentation of the “ENaQ” Energy Transition Lighthouse

Sven Rosinger and Steffen Wehkamp and Georg Blum; Innovations and challenges of the energy transition in smart city districts; 2024

DOI BIB
2 Regulatory and Legal Challenges for District Energy Systems in Practice and Research

Steffen Wehkamp and Lucas Schmeling and Sven Leonhardt; Innovations and challenges of the energy transition in smart city districts; 2024

DOI BIB
4 District Energy Management Scheduling using a Participatory Local Energy Market

Alexander Hill and Christian Pieper and Tobias Brandt; Innovations and challenges of the energy transition in smart city districts; 2024

URL DOI BIB
An Open-Source Carbon Emissions Simulator for Smart Grid Co-Simulation Scenarios

Danila Valko and Sharaf Alsharif and Deborah Tolk; European Simulation and Modelling Conference 2024 (ESM 2024); October / 2024

DOI BIB
DKE Whitepaper: Sektorkopplung auf Basis sicherer Gateways und Router

Christine Rosinger, OFFIS; Daniel Kaumanns, TAS; Dieter Fischer, TAS; Mana Azamat, OFFIS; Markus Reinke, OFFIS; Mirko Dohse, FSO; Pascal Precht, GSG Oldenburg; Sebastian Brose, VdS; Stephan Holzem, TAS; Stipe Mandic, DKE; ; DKE Whitepaper; Mai / 2024

PDF URL BIB
Forecast-based and data-driven reinforcement learning for residential heat pump operation

Simon Schmitz and Karoline Brucke and Pranay Kasturi and Esmail Ansari and Peter Klement; Applied Energy; 10 / 2024

DOI BIB
EN: Alle Publikationen aus dem Bereich Energy-efficient Smart Cities
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