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Characteristics and challenges in prosumer-dominated thermal networks

Title data

Licklederer, Thomas ; Zinsmeister, Daniel ; Elizarov, Ilya ; Perić, Vedran S. ; Tzscheutschler, Peter:
Characteristics and challenges in prosumer-dominated thermal networks.
In: Journal of Physics: Conference Series. Vol. 2042 (2021) . - 012039.
ISSN 1742-6596
DOI: https://doi.org/10.1088/1742-6596/2042/1/012039

Project information

Project title:
Project's official title
Project's id
Optimierung integrierter niederkalorischer bidirektionaler thermischer und elektrischer Netze - IntElHeat
450821044

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Prosumer-dominated thermal networks interconnect distributed prosumers. These networks form the infrastructure that allows to execute the trading of thermal energy as desired in the context of local energy markets. However, the significantly different behavior of such networks compared to conventional district heating and cooling networks has not yet been comprehensively investigated. This paper provides a compilation of instrinsic characteristics of prosumer-dominated thermal networks and discusses challenges that arise from these characteristics. As a basis for the investigations an underlying reference concept for the considered type of networks is described. Simulative case studies are combined with scientific deduction and literature references to gain new insights on the design and operation of this type of networks. It is found that due to the variability in these networks, the definition of a design case is a challenge for the dimensioning of concrete network implementations. To anticipate the strong coupling between prosumers and the nonlinear network behavior, it is concluded that centralized control combined with a model of the physical network behavior is necessary. The discussion of characteristics and challenges in prosumer-dominated thermal networks indicates open points in this field and thus provides a starting point for consecutive studies.

Further data

Item Type: Article in a journal
Refereed: No
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Intelligent Energy Management > Chair Intelligent Energy Management - Univ.-Prof. Dr. Vedran Peric
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 30 Apr 2026 09:18
Last Modified: 30 Apr 2026 09:18
URI: https://eref.uni-bayreuth.de/id/eprint/96127