Decision making models in energy projects: Impact of OPEX on results of Life Cycle Cost Analysis in feasibility studies

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Decision making models in energy projects: Impact of OPEX on results of Life Cycle Cost Analysis in feasibility studies

Original language description

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.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

50204 - Business and management

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SCENTIA International Economic Review

ISSN

2748-0089

e-ISSN

2748-0089

Volume of the periodical

1

Issue of the periodical within the volume

2

Country of publishing house

DE - GERMANY

Number of pages

22

Pages from-to

263-284

UT code for WoS article

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EID of the result in the Scopus database

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