<div class="csl-bib-body">
<div class="csl-entry">Bauer, F. (2025). <i>Two-stage stochastic optimization of district energy systems : a case study from Norway</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.22521</div>
</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2025.22521
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/213796
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dc.description.abstract
The transition to sustainable district heating and cooling systems represents a critical component in achieving global climate neutrality objectives. This study introduces a two-stage stochastic optimization model designed to optimize the cost-effective expansion of district heating and cooling networks in Norway, with a focus on the growing electrification of thermal energy supply. The model incorporates uncertainties related to electricity price volatility and fluctuations in energy demand. The optimization framework identifies the cost-minimal configuration of renewable energy technologies, including large-scale heat pumps, thermal energy storage systems, and industrial waste heat recovery and many more. A case study conducted in Trondheim, Norway, assesses the techno-economic viability of the various heating, cooling, and energy storage technologies. The findings demonstrate significant potential for cost reduction and emissions mitigation through strategic investments in renewable DHC infrastructure. This study offers a robust decision-support framework for policymakers and urban planners to improve the robustness and sustainability of district energy systems in adaptable climate conditions.
de
dc.description.abstract
The transition to sustainable district heating and cooling systems represents a critical component in achieving global climate neutrality objectives. This study introduces a two-stage stochastic optimization model designed to optimize the cost-effective expansion of district heating and cooling networks in Norway, with a focus on the growing electrification of thermal energy supply. The model incorporates uncertainties related to electricity price volatility and fluctuations in energy demand. The optimization framework identifies the cost-minimal configuration of renewable energy technologies, including large-scale heat pumps, thermal energy storage systems, and industrial waste heat recovery and many more. A case study conducted in Trondheim, Norway, assesses the techno-economic viability of the various heating, cooling, and energy storage technologies. The findings demonstrate significant potential for cost reduction and emissions mitigation through strategic investments in renewable DHC infrastructure. This study offers a robust decision-support framework for policymakers and urban planners to improve the robustness and sustainability of district energy systems in adaptable climate conditions.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Fernwärme
de
dc.subject
Fernkälte
de
dc.subject
Optimierung
de
dc.subject
Modellierung
de
dc.subject
Nachhaltige Energieversorgung
de
dc.subject
District energy system
en
dc.subject
Optimization
en
dc.subject
Modeling
en
dc.subject
Net-zero heat supply
en
dc.title
Two-stage stochastic optimization of district energy systems : a case study from Norway
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2025.22521
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Felix Bauer
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Zwickl-Bernhard, Sebastian
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tuw.publication.orgunit
E370 - Institut für Energiesysteme und Elektrische Antriebe
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC17484778
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dc.description.numberOfPages
52
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dc.thesistype
Diplomarbeit
de
dc.thesistype
Diploma Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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tuw.assistant.staffStatus
staff
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tuw.advisor.orcid
0000-0002-9111-9941
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tuw.assistant.orcid
0000-0002-8599-6278
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item.languageiso639-1
en
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item.grantfulltext
open
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item.openairetype
master thesis
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item.openaccessfulltext
Open Access
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_bdcc
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item.cerifentitytype
Publications
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item.fulltext
with Fulltext
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crisitem.author.dept
E370-03 - Forschungsbereich Energiewirtschaft und Energieeffizienz
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crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
