Planning Tools for Decentralized Heat Supply: Modeling the Effects of Volatile Renewable Energies
DOI:
https://doi.org/10.52825/isec.v1i.1110Keywords:
District Heating, Decentralized Feed-In, Solar Thermal, Heat Storage, Network Simulation, Software Tools, Optimization, Temperature DistributionAbstract
An increasing share of decentralized feed-in is necessary for the transition of district heating networks but it comes with various challenges. Software tools for modelling, simulation and optimization allow a theoretical examination of those challenges and possible solutions. Some of these have been used and further developed in the research project ZellFlex. One selected examination is the flexibility of supply temperatures by varying setpoint temperatures for a decentral solar thermal system (500 m²) integrated into an existing district heating network. The analysis of the supply temperature distribution in the network showed: A decrease of the solar thermal feed-in set point temperature by 5 K compared to the supply temperature of the central heat producer seemed acceptable in terms of security of supply, while a 10 K reduction comes with a high risk of undersupply. Furthermore, it was discovered that the points of time with the lowest supply temperatures at the consumers were just before and after they were provided with solar heat due to specific effects concerning temperature loss of the fluid.
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References
Clemens Felsmann and Peter Stange. Simplified Heat Load Profile Generation. Proceedings of the 16th IBPSA Conference, Rome 2019.
Sven Paulick, Karin Rühling, Peter Stange, and Christoph Schroth. “Abschlussbericht DELFIN - Prognose der Auswirkungen dezentraler Einbindung von Wärme aus erneuerbaren Energien und anderen Wärmeerzeugern in Fernwärmenetze.” Dresden: TU Dresden, 2019
Bogdan Narusavicius: Implementation and validation of a python package for the calculation of time-resolved solar yields. Diplomarbeit. TU Dresden 2022.
William Holmgren, Clifford Hansen, and Mark Mikofski. pvlib python: a python package for modeling solar energy systems. In: Journal of Open Source Software 3 (2018), H. 29, S. 884. https://www.doi.org/10.21105/joss.00884
SCFW – ScenoCalc Fernwärme, Simulations- und Ertragsvorhersagetool für Solarthermie- Anlagen in Wärmenetzen auf der Grundlage des Solar-Keymark-Output-Calculators (ScenoCalc), Abschlussbericht zum Verbundvorhaben FKZ 0325554 A und B, Solites und Ritter XL Solar, 2017
Alf Perschk. Gebäude- und Anlagensimulation – Ein Dresdner Modell. In: GesundheitsIngenieur – Haustechnik – Bauphysik – Umwelttechnik 131 (2010), H. 4, S. 178–183
Andreas Herwig, Luise Umbreit, and Karin Rühling. “Temperaturfeldmessung in Großwärmespeichern von KWK-basierten Fernwärmesystemen als Werkzeug zur Effizienzsteigerung - SPICE.” Dresden: TU Dresden, 2019
TWINopt: Vorausberechnung der Temperaturfeldentwicklung In großen Wärmespeichern zur Integration In Netzsimulation Und Betriebsoptimierungen. BMWK Verbundprojekt FKZ 03EN6016, Projektantrag Januar 2022.
Anja Bartsch et. al. „SmartBioGrid: Optionen zum Einsatz fester Biomasse in dekarbonisierten Wärmenetzen.“ Schlussbericht, 2023
Clemens Felsmann, Sven Paulick, Vera Boß. EnEff:Wärme-ZellFlex: Identifikation urbaner Zellstrukturen für flexible Wärme- und Temperaturverteilungen in Wärmenetzen, Schlussbericht. TU Dresden, Dresden, 2023.
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Copyright (c) 2024 Vera Boß, Clemens Felsmann, Bogdan Narusavicius, Karin Rühling
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Bundesministerium für Wirtschaft und Klimaschutz
Grant numbers 03EN3001;03KB159B;03ET1358B;03EN6016;03ET1322A