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A probabilistic approach to the computation of the levelized cost of electricity

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  • Geissmann, Thomas

Abstract

This paper sets forth a novel approach to calculate the levelized cost of electricity (LCOE) using a probabilistic model that accounts for endogenous input parameters. The approach is applied to the example of a nuclear and gas power project. Monte Carlo simulation results show that a correlation between input parameters has a significant effect on the model outcome. By controlling for endogeneity, a statistically significant difference in the mean LCOE estimate and a change in the order of input leverages is observed. Moreover, the paper discusses the role of discounting options and external costs in detail. In contrast to the gas power project, the economic viability of the nuclear project is considerably weaker.

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  • Geissmann, Thomas, 2017. "A probabilistic approach to the computation of the levelized cost of electricity," Energy, Elsevier, vol. 124(C), pages 372-381.
  • Handle: RePEc:eee:energy:v:124:y:2017:i:c:p:372-381
    DOI: 10.1016/j.energy.2017.02.078
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    12. David Pearce & Ben Groom & Cameron Hepburn & Phoebe Koundouri, 2003. "Valuing the Future," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 4(2), pages 121-141, April.
    13. Ederer, Nikolaus, 2016. "The price of rapid offshore wind expansion in the UK: Implications of a profitability assessment," Renewable Energy, Elsevier, vol. 92(C), pages 357-365.
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    2. Lynch, Muireann Á & Devine, Mel & Bertsch, Valentin, 2018. "The role of power-to-gas in the future energy system: how much is needed and who wants to invest?," Papers WP590, Economic and Social Research Institute (ESRI).
    3. Chenglong Guo & Wanan Sheng & Dakshina G. De Silva & George Aggidis, 2023. "A Review of the Levelized Cost of Wave Energy Based on a Techno-Economic Model," Energies, MDPI, vol. 16(5), pages 1-30, February.
    4. Aldersey-Williams, John & Broadbent, Ian D. & Strachan, Peter A., 2020. "Analysis of United Kingdom offshore wind farm performance using public data: Improving the evidence base for policymaking," Utilities Policy, Elsevier, vol. 62(C).
    5. Tazi, Nacef & Safaei, Fatemeh & Hnaien, Faicel, 2022. "Assessment of the levelized cost of energy using a stochastic model," Energy, Elsevier, vol. 238(PB).
    6. Bartnik, Ryszard & Hnydiuk-Stefan, Anna & Buryn, Zbigniew, 2018. "Analysis of the impact of technical and economic parameters on the specific cost of electricity production," Energy, Elsevier, vol. 147(C), pages 965-979.
    7. Shen, Wei & Chen, Xi & Qiu, Jing & Hayward, Jennifier A & Sayeef, Saad & Osman, Peter & Meng, Ke & Dong, Zhao Yang, 2020. "A comprehensive review of variable renewable energy levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    8. Borna Doračić & Tomislav Novosel & Tomislav Pukšec & Neven Duić, 2018. "Evaluation of Excess Heat Utilization in District Heating Systems by Implementing Levelized Cost of Excess Heat," Energies, MDPI, vol. 11(3), pages 1-14, March.
    9. Hanak, Dawid P. & Manovic, Vasilije, 2017. "Economic feasibility of calcium looping under uncertainty," Applied Energy, Elsevier, vol. 208(C), pages 691-702.
    10. Prakash, Vrishab & Ghosh, Sajal & Kanjilal, Kakali, 2020. "Costs of avoided carbon emission from thermal and renewable sources of power in India and policy implications," Energy, Elsevier, vol. 200(C).
    11. Bistline, John E. & Comello, Stephen D. & Sahoo, Anshuman, 2018. "Managerial flexibility in levelized cost measures: A framework for incorporating uncertainty in energy investment decisions," Energy, Elsevier, vol. 151(C), pages 211-225.
    12. Lynch, Muireann & Devine, Mel T. & Bertsch, Valentin, 2019. "The role of power-to-gas in the future energy system: Market and portfolio effects," Energy, Elsevier, vol. 185(C), pages 1197-1209.

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