Decision-making in major investment projects with a life cycle cost: improvement with sensitivity analysis and sustainability assessment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43926044" target="_blank" >RIV/62156489:43110/24:43926044 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.22630/srees.9824" target="_blank" >https://doi.org/10.22630/srees.9824</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22630/srees.9824" target="_blank" >10.22630/srees.9824</a>
Alternative languages
Result language
angličtina
Original language name
Decision-making in major investment projects with a life cycle cost: improvement with sensitivity analysis and sustainability assessment
Original language description
This study focuses on compressor station investments in Germany's natural gas infrastructure, offering insights applicable to machinery, energy, and maintenance cost-driven decisions. A life cycle cost (LCC) analysis can guide investment choices; however, uncertainties in input data and future developments pose risks. The LCC-based studies encounter questions impacting their results and optimal selections. These uncertainties may lead to misallocations, emphasizing the need for careful consideration of investment decisions to avoid potential consequences and efficiently allocate limited funds. Various measures are available to mitigate the uncertainties and risks in LCC analyses. Recognized measures are deterministic and probabilistic. Seven case studies on investments in the natural gas infrastructure in Germany were analyzed in this context. In addition to the executed case studies, a case study from a scientific journal (published in 2001) was included in the analysis. The case studies were conducted by transmission system operators from 2005-2015, and a retrospective view made it possible to recognize whether the best options (due to the LCC analysis) were identified. Simulations were conducted with generated models using real historical input data such as energy costs. The re-calculation of the net present value or better discounted cumulated expenditure with real input data shows that the LCC analysis results are significantly dependent on the reliability of the input data and the prediction of their development. Therefore, validating the results using appropriate measures is mandatory. This study illustrates how sensitivity analysis can be used as a deterministic method to evaluate the LCC analysis results. A company's success is increasingly determined by its sustainability. A pure LCC analysis is insufficient, so social, ecological, and economic sustainability assessments must be conducted. This study demonstrates the effectiveness of the weighted scoring method for sustainability assessments. Although this study relates to LCC in Germany's natural gas infrastructure, the suggested process can be adopted for other investment projects comprising capital and operational expenditures.
Czech name
—
Czech description
—
Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
—
OECD FORD branch
50204 - Business and management
Result continuities
Project
—
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
Name of the periodical
Przegląd Naukowy - Inżynieria i Kształtowanie Środowiska
ISSN
1732-9353
e-ISSN
2543-7496
Volume of the periodical
33
Issue of the periodical within the volume
3
Country of publishing house
PL - POLAND
Number of pages
16
Pages from-to
227-242
UT code for WoS article
—
EID of the result in the Scopus database
2-s2.0-85206661100