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Entwicklung eines klimaneutralen Fernwärmenetz-Modells unter Einsatz von Open-Source-Optimierungssoftware mittels eines Datenharmonisierungsframeworks
Citation Link: https://doi.org/10.15480/882.6116
Publikationstyp
Report
Date Issued
2023-03-27
Sprache
German
Author(s)
Advisor
Referee
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2023-03
Institute
Energietechnik M-5
TORE-DOI
Citation
Technische Universität Hamburg (2023)
Peer Reviewed
false
In order to achieve the German climate goals, a transformation of district heating towards climate-neutral heat generation is required. Energy system modeling is of great importance for the investigation of such transformation processes.
In this work, the Python-based framework Tessif is used to model the climate-neutral supply structure of a German city in the software PyPSA, Oemof and Calliope using a common data input and output. In particular, the selection of the input data and the optimization results are discussed.
In this work, the Python-based framework Tessif is used to model the climate-neutral supply structure of a German city in the software PyPSA, Oemof and Calliope using a common data input and output. In particular, the selection of the input data and the optimization results are discussed.
Subjects
tessif
district heating
energy system modeling
DDC Class
620: Engineering
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Projektarbeit_Leon_Zickert.pdf
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