• DE
  • Applications
    • Energy
      • Co-Simulation of Multi-Modal Energy Systems
      • 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
    • Society
      • Mixed Reality
      • Human-Centered AI
      • Personal Pervasive Computing
      • Social Computing
    • Health
      • Data Management and Analysis for Health Services Research
      • Automation and Integration Technology
      • Assistive Technologies for Care and Health Professionals
      • Biomedical Devices and Systems
    • Manufacturing
      • Smart Human Robot Collaboration
      • Manufacturing Operations Management
      • Distributed Computing and Communication
      • Sustainable Manufacturing Systems
    • Transportation: Info
    • Living Labs
      • Model Factory
      • DAVE
      • LIFE
      • IDEAAL
      • Pflegedienstzentrale
      • SESA
      • Fliegerhorst (Air Base) Smart City
  • Services
    • Contract research
    • Digitalization consulting
    • Technology consulting
    • Technology training
    • Contract development
  • Research
    • Applied Artificial Intelligence (AAI)
      • Adversarial Resilience Learning (E)
    • Architecture Frameworks (AF)
    • Cyber-Resilient Architectures and Security (CRAS)
    • Embedded System Design (ESD)
    • Human Machine Cooperation (HMC)
    • Multi-Scale Multi-Rate Simulation (MS²)
    • Sustainability
    • Safety Relevant Cyber Physical Systems (SRCPS)
  • OFFIS
    • News
      • Events
    • Blog
    • Career
      • Vacancies
    • Publishing and Tools
      • Roadmaps and Studies
      • Tools and Platforms
      • Datawork | OFFIS Journals
      • Annual Reports
    • Publications
    • Projects
    • Persons
    • About us
      • Mission statement, values and compliance
      • Organization
      • OFFIS-Memberships
      • Cooperation Partners
      • Society of Friends
      • Spin-offs
      • History
    • Contact
      • Directions
  • General
  • DE
  • Applications
    • Energy
      • Co-Simulation of Multi-Modal Energy Systems
      • Distributed Artificial Intelligence
        • Transparency und acceptance of self-x-systems
        • Models for agent-based flexibility management
        • Open Science – freely available and open source scientific results
      • Data Integration and Processing
      • Energy-efficient Smart Cities
      • Power Systems Intelligence
      • Resilient Monitoring and Control
      • Standardized Systems Engineering and Assessment
      • Smart Grid Testing
    • Society
      • Mixed Reality
      • Human-Centered AI
      • Personal Pervasive Computing
      • Social Computing
    • Health
      • Data Management and Analysis for Health Services Research
        • Health Services Research
        • Information Logistics
        • Analytical Applications
        • Data Protection & Data Security
      • Automation and Integration Technology
      • Assistive Technologies for Care and Health Professionals
      • Biomedical Devices and Systems
    • Manufacturing
      • Smart Human Robot Collaboration
      • Manufacturing Operations Management
      • Distributed Computing and Communication
      • Sustainable Manufacturing Systems
    • Transportation: Info
    • Living Labs
      • Model Factory
      • DAVE
      • LIFE
      • IDEAAL
      • Pflegedienstzentrale
      • SESA
      • Fliegerhorst (Air Base) Smart City
  • Services
    • Contract research
    • Digitalization consulting
    • Technology consulting
    • Technology training
    • Contract development
  • Research
    • Applied Artificial Intelligence (AAI)
      • Adversarial Resilience Learning (E)
    • Architecture Frameworks (AF)
    • Cyber-Resilient Architectures and Security (CRAS)
    • Embedded System Design (ESD)
    • Human Machine Cooperation (HMC)
    • Multi-Scale Multi-Rate Simulation (MS²)
    • Sustainability
    • Safety Relevant Cyber Physical Systems (SRCPS)
  • OFFIS
    • News
      • Events
    • Blog
    • Career
      • Vacancies
        • About Applications
    • Publishing and Tools
      • Roadmaps and Studies
      • Tools and Platforms
      • Datawork | OFFIS Journals
      • Annual Reports
        • Archive
    • Publications
    • Projects
    • Persons
    • About us
      • Mission statement, values and compliance
        • Principles and mission statement
        • Diversity and Equality
        • Whistleblower System
      • Organization
        • General Assembly
        • Scientific Advisory Council
        • Administrative Council
      • OFFIS-Memberships
      • Cooperation Partners
      • Society of Friends
      • Spin-offs
      • History
    • Contact
      • Directions
  1. Home
  2. Applications
  3. Energy
  4. Distributed Artificial Intelligence
  5. Open Science – freely available and open source scientific results

Open Science – freely available and open source scientific results As a research group, we are committed to transparent science - Open Science, which makes research results freely and openly available. The artefacts, data and publications we produce should be able to be used collectively and without hurdles in order to improve the quality of research and contribute to progress in society as a whole. An essential aspect of this is also the possibility of reproducing research results.

Freedom and openness are essential characteristics of science. Without an open exchange of ideas and unrestricted access to preliminary scientific work, no sound scientific progress - and thus no innovations - can emerge. And free access to results in the form of software artefacts, data and publications, among other things, determines the quality and connectivity of scientific work in the long term. Access to the underlying data and the software tools used or developed for data generation and analysis is indispensable for the traceability of scientific results.

Especially when scientific results are generated in projects with public funding, we are convinced that they should be able to be used collaboratively and without hurdles in order to improve the quality of research and contribute to progress in society as a whole. An essential aspect of this is also the possibility of reproducing published research results in the sense of the DFG's guidelines on good scientific practice.

In the following, we present some of our published results. Our software tools, frameworks, data, models and other artefacts are usually published in our Gitlab group.

mango – Modular Python Agent Framework

mango is a Python framework for the development of multi-agent systems. It provides a basic framework for building a single intelligent software agent, offers simple interfaces for communication between agents and enables the modularisation of complex agents. A container mechanism is used to accelerate the exchange of messages for agents located within a dedicated process.

Using mango, large-scale simulations can be carried out, but it can also be used to develop agents for the field. The software has been under development at OFFIS and the University of Oldenburg since 2019, is available as open source and extensively documented. Furthermore, there is a public "mango library", in which various reference implementations of mango agents are available.

cosima – Communication Simulation for Agents in Energy Systems

In smart energy systems, co-simulation is used to connect heterogeneous simulators such as generation units, control algorithms and analysis tools to complex scenarios and to investigate these scenarios for different objectives. In these scenarios, the communication necessary for the exchange of information between simulators has so far been assumed to be undisturbed and undelayed. The interaction between the energy and communication systems was therefore neglected.

In cosima, the communication simulator OMNeT++ is therefore integrated into the co-simulation framework mosaik to enable a combined view of energy and communication systems and to investigate ICT-based monitoring and control applications (such as multi-agent systems) in the energy system. Through the OMNeT++ integration, concrete communication technologies (LTE, 5G) can be simulated and the effect of topology changes and disturbed and undisturbed message traffic on e.g. latency, bandwidth and packet losses can be recorded.

Further information can be found at https://cosima.offis.de/.

Amplify – Abstract Multi-Purpose-Limited Flexibility Model

To increase the yield generated by battery storage systems, it makes sense to use them for more than one application. This is possible because it has been found that they are often not fully utilised only through e.g. peak load capping or self-consumption maximisation.

With Amplify, excess flexibility from battery storage can be described and dispatched compactly after a local application has already been fulfilled and no further flexibility is needed for it. The model is characterised by the fact that it can be calculated very quickly and has integrated problem detection. This allows it to detect when the battery storage contributions for the different applications conflict. In addition, an aggregator does not need any further knowledge about the battery storage and can still size contributions for e.g. electricity market transactions.

Amplify is published on Pypi as "amplify-model" and as open source on Gitlab.com.

In order to increase the yield generated with battery storage systems, it makes sense to use them for more than one application. This is possible because it has been found that they are often not fully utilised only through e.g. peak load capping or self-consumption maximisation.

Ansprechpersonen

  • Dr. Martin Tröschel
  • Stefanie Holly
  • Marvin Nebel-Wenner
  • Frauke Oest
  • Paul Hendrik Tiemann
[Translate to english:]
  • Co-Simulation of Multi-Modal Energy Systems
  • Distributed Artificial Intelligence
    • Transparency und acceptance of self-x-systems
    • Models for agent-based flexibility management
    • Open Science – freely available and open source scientific results
  • Data Integration and Processing
  • Energy-efficient Smart Cities
  • Power Systems Intelligence
  • Resilient Monitoring and Control
  • Standardized Systems Engineering and Assessment
  • Smart Grid Testing

Persons

F

Emilie Frost

E-Mail: Emilie.Frost(at)offis.de, Phone: +49 441 9722-582, Room: E62

G

Dr. rer. nat. Benjamin Giesers

E-Mail: benjamin.giesers(at)offis.de, Phone: +49 441 9722-747, Room: E128

H

Stefanie Holly

E-Mail: stefanie.holly(at)offis.de, Phone: +49 441 9722-732, Room: E63

Jan Philipp Hörding

E-Mail: jan.philipp.hoerding(at)offis.de, Phone: +49 441 9722-573, Room: E63

O

Frauke Oest

E-Mail: frauke.oest(at)offis.de, Phone: +49 441 9722-137, Room: E88

R

Malin Radtke

E-Mail: malin.radtke(at)offis.de, Phone: +49 441 9722-125, Room: E128

S

Jens Sager

E-Mail: jens.sager(at)offis.de, Phone: +49 441 9722-561, Room: E62

Sanja Stark

E-Mail: sanja.stark(at)offis.de, Phone: +49 441 9722-436, Room: E63

T

Paul Hendrik Tiemann

E-Mail: paul.hendrik.tiemann(at)offis.de, Phone: +49 441 9722-289

Dr. rer. nat. Martin Tröschel

E-Mail: martin.troeschel(at)offis.de, Phone: +49 441 9722-150, Room: E128

W

Torge Wolff

E-Mail: torge.wolff(at)offis.de, Phone: +49 441 9722-216, Room: E63

EN: Alle Personen aus dem Bereich Open Science – freely available and open source scientific results

Projects

D

DEER

Dezentraler Redispatch (DEER): Schnittstellen für die Flexibilitätsbereitstellung

Duration: 2022 - 2025

I

Int2Grids

Integration von intelligenten Quartiersnetzen in Verbundnetze

Duration: 2020 - 2023

R

REMARK

Resilienz im digitalisierten Stromsystem: Toolbox zur Bewertung von Systemdienstleistungsmärkten

Duration: 2022 - 2024

W

WWNW

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

Duration: 2021 - 2025

Publications

2023

A Multi-Criteria Metaheuristic Algorithm for Distributed Optimization of Electric Energy Storage

Schrage, Rico and Tiemann, Paul Hendrik and Niesse, Astrid; SIGENERGY Energy Inform. Rev.; feb / 2023

DOI BIB

2022

Choosing the right model for unified flexibility modeling

Brandt, Jonathan and Frost, Emilie and Ferenz, Stephan and Tiemann, Paul Hendrik and Bensmann, Astrid and Hanke-Rauschenbach, Richard and Nieße, Astrid; Energy Informatics; 2022

DOI BIB
Constraint-based Modeling of Smart Grid Services in ICT-Reliant Power Systems

Oest, Frauke and Lehnhoff, Sebastian; ENERGY 2022, The Twelfth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies; Mai / 2022

URL BIB
Operational flexibility for multi-purpose usage of pooled battery storage systems

Tiemann, Paul Hendrik and Nebel-Wenner, Marvin and Holly, Stefanie and Frost, Emilie and Jimenez Martinez, Adrian and Nieße, Astrid; Energy Informatics; 2022

DOI BIB

2021

A Sketch of Unwanted Gaming Strategies in Flexibility Provision for the Energy System

Buchholz, Sebastian and Tiemann, Paul Hendrik and Wolgast, Thomas and Scheunert, Alexandra and Gerlach, Jana and Majumdar, Neelotpal and Breitner, Michael and Hofmann, Lutz and Nieße, Astrid and Weyer, Harmut; Energy Informatics and Electro Mobility ICT; 2021

BIB
Assumptions on a Distributed and Hierarchical Market Concept for Balancing Reserve Aggregation

Tiemann, Paul Hendrik and Nieße, Astrid; Energy Informatics and Electro Mobility ICT; 2021

BIB
Balancing grid islands with distributed energy resources

Tiemann, Paul Hendrik; Abstracts of the 10th DACH+ Conference on Energy Informatics; 2021

DOI BIB
Battery Storage Demonstration Projects: an Overview across Europe

Divshali, Poria Hasanpor and Mäki, Kari and Evens, Corentin and Papadimitriou, Christina and Efthymiou, Venizelos and Nieße, Astrid and Holly, Stefanie and Marinelli, Mattia and Gabderakhmanova, Tatiana and Meléndez, Joaquim and others; 2021 IEEE PES Innovative Smart Grid Technologies Conference Europe; 2021

BIB
Distributed fitness landscape analysis for cooperative search with domain decomposition

Holly, Stefanie and Nieße, Astrid; IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021); 2021

BIB
Dynamic communication topologies for distributed heuristics in energy system optimization algorithms

Stefanie Holly and Astrid Nieße; 2021 16th Conference on Computer Science and Intelligence Systems (IEEE FedCSIS); 2021

URL DOI BIB
EN: Alle Publikationen aus dem Bereich Open Science – freely available and open source scientific results
PrivacyData TransparencyContactLegals