Decision making models in energy projects: Impact of OPEX on results of Life Cycle Cost Analysis in feasibility studies
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F22%3A43921700" target="_blank" >RIV/62156489:43110/22:43921700 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.52514/sier.v1i2.30" target="_blank" >https://doi.org/10.52514/sier.v1i2.30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.52514/sier.v1i2.30" target="_blank" >10.52514/sier.v1i2.30</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Decision making models in energy projects: Impact of OPEX on results of Life Cycle Cost Analysis in feasibility studies
Popis výsledku v původním jazyce
Long-term strategic investment decisions are associated with high costs and risks. The decision-makers need a solid foundation to judge the best alternative for an investment project. In every sector of business, strategic decisions are taken. The natural gas industry in Germany has made considerable expenditures in gas infrastructure and will continue in future. A considerable part of the investment goes into compressor capacity. To avoid misallocation of funds the optimal alternative for compressors must be identified. Gas suppliers employ a decision-making methodology based on Life Cycle Cost (LCC) analysis in conjunction with the NPV technique to choose the best compressor option. In feasibility studies, several options are evaluated in this way. In this publication seven feasibility studies have been examined. The goal of these studies is to determine the optimum alternative for an investment project in the natural gas industry. The ranking is determined by the calculated NPVs which is based on relevant input data. The quality of input data and its forecasting have a significant impact on the results and can even change the ranking of the options. This publication examines the question of how reliable the results in the feasibility studies are. First, the model calculations are reproduced and the model verified. In the second step, the applied input data are replaced by real historical input data in the model in order to assess the effects on the calculation of the NPV. Sensitivity analysis is applied on relevant input data. Measures for risk mitigation are proposed.
Název v anglickém jazyce
Decision making models in energy projects: Impact of OPEX on results of Life Cycle Cost Analysis in feasibility studies
Popis výsledku anglicky
Long-term strategic investment decisions are associated with high costs and risks. The decision-makers need a solid foundation to judge the best alternative for an investment project. In every sector of business, strategic decisions are taken. The natural gas industry in Germany has made considerable expenditures in gas infrastructure and will continue in future. A considerable part of the investment goes into compressor capacity. To avoid misallocation of funds the optimal alternative for compressors must be identified. Gas suppliers employ a decision-making methodology based on Life Cycle Cost (LCC) analysis in conjunction with the NPV technique to choose the best compressor option. In feasibility studies, several options are evaluated in this way. In this publication seven feasibility studies have been examined. The goal of these studies is to determine the optimum alternative for an investment project in the natural gas industry. The ranking is determined by the calculated NPVs which is based on relevant input data. The quality of input data and its forecasting have a significant impact on the results and can even change the ranking of the options. This publication examines the question of how reliable the results in the feasibility studies are. First, the model calculations are reproduced and the model verified. In the second step, the applied input data are replaced by real historical input data in the model in order to assess the effects on the calculation of the NPV. Sensitivity analysis is applied on relevant input data. Measures for risk mitigation are proposed.
Klasifikace
Druh
J<sub>ost</sub> - Ostatní články v recenzovaných periodicích
CEP obor
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OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
SCENTIA International Economic Review
ISSN
2748-0089
e-ISSN
2748-0089
Svazek periodika
1
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
22
Strana od-do
263-284
Kód UT WoS článku
—
EID výsledku v databázi Scopus
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