Applied Digital Twin Concepts Contributing to Heat Transition in Building, Campus, Neighborhood, and Urban Scale

Author:

Lesnyak Ekaterina12ORCID,Belkot Tabea2,Hurka Johannes3ORCID,Hörding Jan Philipp12,Kuhlmann Lea4,Paulau Pavel35,Schnabel Marvin35ORCID,Schönfeldt Patrik6ORCID,Middelberg Jan3

Affiliation:

1. Faculty II—School of Computing Science, Business Administration, Economics and Law, The Carl von Ossietzky University of Oldenburg, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany

2. OFFIS—Institute for Information Technology, Escherweg 2, 26121 Oldenburg, Germany

3. Department of Civil Engineering Geoinformation and Health Technology, Jade University of Applied Sciences Wilhelmshaven/Oldenburg/Elsfleth, Ofener Str. 16/19, 26121 Oldenburg, Germany

4. Stadt Oldenburg (Oldb), Industriestraße 1 a, 26121 Oldenburg, Germany

5. Institute for Applied Photogrammetry and Geoinformatics (IAPG), Jade University of Applied Sciences Wilhelmshaven/Oldenburg/Elsfleth, Ofener Str. 16/19, 26121 Oldenburg, Germany

6. DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany

Abstract

The heat transition is a central pillar of the energy transition, aiming to decarbonize and improve the energy efficiency of the heat supply in both the private and industrial sectors. On the one hand, this is achieved by substituting fossil fuels with renewable energy. On the other hand, it involves reducing overall heat consumption and associated transmission and ventilation losses. In addition to refurbishment, digitalization contributes significantly. Despite substantial research on Digital Twins (DTs) for heat transition at different scales, a cross-scale perspective on heat optimization still needs to be developed. In response to this research gap, the present study examines four instances of applied DTs across various scales: building, campus, neighborhood, and urban. The study compares their objectives and conceptual frameworks while also identifying common challenges and potential synergies. The study’s findings indicate that all DT scales face similar data-related challenges, such as gathering, ownership, connectivity, and reliability. Also, hierarchical synergy is identified among the DTs, implying the need for collaboration and exchange. In response to this, the “Wärmewende” data platform, whose objectives and concepts are presented in the paper, promotes research data and knowledge exchange with internal and external stakeholders.

Funder

German Federal Ministry of Education and Research

Publisher

MDPI AG

Reference64 articles.

1. International Energy Agency (IEA) (2023, May 30). Net Zero by 2050; License: CC BY 4.0, Available online: https://www.iea.org/reports/net-zero-by-2050.

2. Lachal, B. (2019). Energy Transition, Wiley.

3. (2023, May 28). Anwendungsbilanzen zur Energiebilanz Deutschland: Detaillierte Anwendungsbilanzen der Endenergiesektoren für 2020 und 2021 Sowie Zusammenfassende Zeitreihen zum Endenergieverbrauch nach Energieträgern und Anwendungszwecken für Jahre von 2011 bis 2021. Available online: https://ag-energiebilanzen.de/wp-content/uploads/2023/01/AGEB_21p2_V3_20221222.pdf.

4. Grieves, M. (2023, August 14). Digital Twin: Manufacturing Excellence through Virtual Factory Replication. White Paper: 2014. Available online: https://www.researchgate.net/publication/275211047.

5. Energy digital twin technology for industrial energy management: Classification, challenges and future;Yu;Renew. Sustain. Energy Rev.,2022

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