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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

  • 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