Life Cycle Cost Analysis: Applying Monte Carlo Simulation on Energy Costs in Case Studies for Investments in Natural Gas Infrastructure
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43925415" target="_blank" >RIV/62156489:43110/24:43925415 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-49105-4_37" target="_blank" >https://doi.org/10.1007/978-3-031-49105-4_37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-49105-4_37" target="_blank" >10.1007/978-3-031-49105-4_37</a>
Alternative languages
Result language
angličtina
Original language name
Life Cycle Cost Analysis: Applying Monte Carlo Simulation on Energy Costs in Case Studies for Investments in Natural Gas Infrastructure
Original language description
Decision makers in companies of the natural gas infrastructure establish their decisions on case studies. The case studies are usually prepared according to life cycle cost analysis in combination with the net present value method. Seven case studies, which were prepared by experts from consulting companies, are examined with regard to the robustness of the results obtained. The case studies investigate different options of compressor units for installation in gas facilities in Germany with the aim of finding the best option. The focus is on the evaluation of energy costs as the main cost driver and their future development. The authors of the case studies have to make assumptions for the future development of energy costs. These assumptions are associated with large uncertainties and are not backed up by risk analyses. Based on the seven case studies from 2001 to 2015 and the knowledge of the actual historical energy costs, it is possible to assess with which uncertainties case studies are associated and how robust the results are. Monte Carlo simulation is used to predict future energy prices. In addition to risk assessment with Monte Carlo simulation, other measures to identify the best option for an investment are proposed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applied Economic Research and Trends
ISBN
978-3-031-49104-7
ISSN
2198-7246
e-ISSN
2198-7254
Number of pages
15
Pages from-to
625-639
Publisher name
Springer Switzerland
Place of publication
Cham
Event location
Brno
Event date
Jun 29, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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