Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation

This work focuses on life cycle cost (LCC) analysis in the German natural gas infrastructure and recommends strategies to mitigate the uncertainties and risks involved using Monte Carlo simulation (MCS). It deals with the impact of input data and predicting the future development of input data on t...

Full description

Saved in:
Bibliographic Details
Main Author: Stefan Wieke
Format: Article
Language:English
Published: Warsaw University of Life Sciences 2024-10-01
Series:Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
Subjects:
Online Access:https://srees.sggw.edu.pl/article/view/9798
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849738497453195264
author Stefan Wieke
author_facet Stefan Wieke
author_sort Stefan Wieke
collection DOAJ
description This work focuses on life cycle cost (LCC) analysis in the German natural gas infrastructure and recommends strategies to mitigate the uncertainties and risks involved using Monte Carlo simulation (MCS). It deals with the impact of input data and predicting the future development of input data on the results of the LCC analysis and discusses MCS for risk mitigation. Seven case studies for investments in Germany’s natural gas infrastructure are analyzed. In addition to the executed case studies, a case study from a scientific journal is included. The case studies were conducted between 2005 and 2015. Evaluation with real historical input data shows that the results of an LCC analysis depend on the reliability of input data and predictions on their development. The retrospective view shows that the best options are not always identified. Therefore, the results need to be validated using risk-mitigation methods, such as MCS. The executed case studies reflect the opinions of experts. This work shows how risk is mitigated through MCS while focusing on LCC analysis in the German natural gas infrastructure; however, the proposed risk mitigation with MCS can be adopted for other investment projects comprising capital expenditure (CAPEX) and operational expenditure (OPEX), for example, in construction, machines and other fields.
format Article
id doaj-art-976ee9abbcde4c9fa6ff7ce32cccb070
institution DOAJ
issn 1732-9353
2543-7496
language English
publishDate 2024-10-01
publisher Warsaw University of Life Sciences
record_format Article
series Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
spelling doaj-art-976ee9abbcde4c9fa6ff7ce32cccb0702025-08-20T03:06:32ZengWarsaw University of Life SciencesPrzegląd Naukowy Inżynieria i Kształtowanie Środowiska1732-93532543-74962024-10-0134110.22630/srees.9798Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulationStefan Wieke0Mendel University, Faculty of Business and Economics, Czech Republic This work focuses on life cycle cost (LCC) analysis in the German natural gas infrastructure and recommends strategies to mitigate the uncertainties and risks involved using Monte Carlo simulation (MCS). It deals with the impact of input data and predicting the future development of input data on the results of the LCC analysis and discusses MCS for risk mitigation. Seven case studies for investments in Germany’s natural gas infrastructure are analyzed. In addition to the executed case studies, a case study from a scientific journal is included. The case studies were conducted between 2005 and 2015. Evaluation with real historical input data shows that the results of an LCC analysis depend on the reliability of input data and predictions on their development. The retrospective view shows that the best options are not always identified. Therefore, the results need to be validated using risk-mitigation methods, such as MCS. The executed case studies reflect the opinions of experts. This work shows how risk is mitigated through MCS while focusing on LCC analysis in the German natural gas infrastructure; however, the proposed risk mitigation with MCS can be adopted for other investment projects comprising capital expenditure (CAPEX) and operational expenditure (OPEX), for example, in construction, machines and other fields. https://srees.sggw.edu.pl/article/view/9798decision makinglife cycle cost analysiscase studiesrisk mitigationMonte Carlo simulationenergy cost
spellingShingle Stefan Wieke
Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
decision making
life cycle cost analysis
case studies
risk mitigation
Monte Carlo simulation
energy cost
title Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation
title_full Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation
title_fullStr Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation
title_full_unstemmed Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation
title_short Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation
title_sort life cycle cost analysis in investment projects examination of case studies and risk mitigation with monte carlo simulation
topic decision making
life cycle cost analysis
case studies
risk mitigation
Monte Carlo simulation
energy cost
url https://srees.sggw.edu.pl/article/view/9798
work_keys_str_mv AT stefanwieke lifecyclecostanalysisininvestmentprojectsexaminationofcasestudiesandriskmitigationwithmontecarlosimulation