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Probabilistic life-cycle cost analysis for renewable and non-renewable power plants

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  • Cartelle Barros, Juan José
  • Lara Coira, Manuel
  • de la Cruz López, María Pilar
  • del Caño Gochi, Alfredo

Abstract

Two probabilistic models are presented to assess the costs of power plants. One of them uses requirement trees, value functions and the analytic hierarchy process. It is also based on Monte Carlo simulation. The second one is a mathematical model for calculating the levelised cost of electricity (LCOE) based on discounted cash flow techniques, and combined with Monte Carlo simulation. The results obtained with both models are compared and discussed. On the one hand, the LCOE model provides the most reliable results. These results reinforce the idea that conventional or coal, lignite, oil, natural gas and nuclear power plants are still the most competitive options, with the LCOE falling in a range of around 25 to 200 €/MWh and mean values approaching 70 €/MWh. Generally, renewable power plants obtained the worst results, with a LCOE varying from around 30 to more than 450 €/MWh. Nevertheless, this study demonstrates that renewable alternatives can compete with their conventional counterparts under certain conditions.

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  • Cartelle Barros, Juan José & Lara Coira, Manuel & de la Cruz López, María Pilar & del Caño Gochi, Alfredo, 2016. "Probabilistic life-cycle cost analysis for renewable and non-renewable power plants," Energy, Elsevier, vol. 112(C), pages 774-787.
    • Handle: RePEc:eee:energy:v:112:y:2016:i:c:p:774-787
    DOI: 10.1016/j.energy.2016.06.098
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