Risk assessment in district heating: Evaluating the economic risks of inter-regional heat transfer networks with regards to uncertainties of energy prices and waste heat availability using Monte Carlo simulations

Most district heating (DH) networks are largely based on fossil or biogenic fuels. As these fuels are phased out or their use will be prioritized for other sectors respectively, significant amounts of alternative heat sources (heat pumps, waste heat, solar and geothermal energy) will be required. Ho...

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Published inSmart energy (Amsterdam) Vol. 12; p. 100119
Main Authors Marx, Nicolas, Blakcori, Riel, Forster, Tobias, Maggauer, Klara, Ralf-Roman, Schmidt
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.11.2023
Subjects
District heating decarbonization
Inter-regional heat transfer networks
Monte Carlo simulations
Risk assessment
Inter-regional heat transfer networks
Monte Carlo simulations
District heating decarbonization
Risk assessment
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Abstract Most district heating (DH) networks are largely based on fossil or biogenic fuels. As these fuels are phased out or their use will be prioritized for other sectors respectively, significant amounts of alternative heat sources (heat pumps, waste heat, solar and geothermal energy) will be required. However, there are various uncertainties regarding the development of key factors such as energy prices and the availability of alternative heat sources. In addition, individual heat supply systems are competing with DH networks. This paper quantifies the economic risks of DH networks with respect to uncertainties in energy prices (electricity and biomass) and waste heat availability and compares them with individual heating systems. Therefore, a hypothetical inter-regional heat transfer network (“HTN”) in Austria is investigated as a case study and a Monte Carlo approach based on seasonal energy balances is used. The results show that in individual heating systems, uncertainties in energy prices have a strong influence on the economic risks. In contrast, HTNs can optimize the use of industrial waste heat at stable prices and integrate large scale heat pumps operating at low electricity prices as well as combined heat and power plants operating at high electricity prices, leading to a reduced dependency on the uncertainties of energy prices and thus a lower economic risk. [Display omitted] •A hypothetical interregional heat transfer network (HTN) in Austria is studied.•Uncertainties considered in a Monte Carlo simulation are energy prices and waste heat availability.•Due to these uncertainties, the levelized cost of heat in individual systems varies by ± 9%.•A HTN can optimize the use of different heat sources (waste heat, HPs and CHPs).•As a result, the levelized cost of heat varies by ± 4% in the HTN studies.
AbstractList Most district heating (DH) networks are largely based on fossil or biogenic fuels. As these fuels are phased out or their use will be prioritized for other sectors respectively, significant amounts of alternative heat sources (heat pumps, waste heat, solar and geothermal energy) will be required. However, there are various uncertainties regarding the development of key factors such as energy prices and the availability of alternative heat sources. In addition, individual heat supply systems are competing with DH networks. This paper quantifies the economic risks of DH networks with respect to uncertainties in energy prices (electricity and biomass) and waste heat availability and compares them with individual heating systems. Therefore, a hypothetical inter-regional heat transfer network (“HTN”) in Austria is investigated as a case study and a Monte Carlo approach based on seasonal energy balances is used. The results show that in individual heating systems, uncertainties in energy prices have a strong influence on the economic risks. In contrast, HTNs can optimize the use of industrial waste heat at stable prices and integrate large scale heat pumps operating at low electricity prices as well as combined heat and power plants operating at high electricity prices, leading to a reduced dependency on the uncertainties of energy prices and thus a lower economic risk. [Display omitted] •A hypothetical interregional heat transfer network (HTN) in Austria is studied.•Uncertainties considered in a Monte Carlo simulation are energy prices and waste heat availability.•Due to these uncertainties, the levelized cost of heat in individual systems varies by ± 9%.•A HTN can optimize the use of different heat sources (waste heat, HPs and CHPs).•As a result, the levelized cost of heat varies by ± 4% in the HTN studies.
ArticleNumber 100119
Author Blakcori, Riel
Marx, Nicolas
Ralf-Roman, Schmidt
Maggauer, Klara
Forster, Tobias
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Cites_doi 10.1016/j.energy.2019.04.098
10.1186/s42162-021-00150-y
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Keywords Inter-regional heat transfer networks
Monte Carlo simulations
District heating decarbonization
Risk assessment
Language English
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Snippet Most district heating (DH) networks are largely based on fossil or biogenic fuels. As these fuels are phased out or their use will be prioritized for other...
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StartPage 100119
SubjectTerms District heating decarbonization
Inter-regional heat transfer networks
Monte Carlo simulations
Risk assessment
Title Risk assessment in district heating: Evaluating the economic risks of inter-regional heat transfer networks with regards to uncertainties of energy prices and waste heat availability using Monte Carlo simulations
URI https://dx.doi.org/10.1016/j.segy.2023.100119
Volume 12
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