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On the use of dynamic reliability for an accurate modelling of renewable power plants

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  • Chiacchio, Ferdinando
  • D’Urso, Diego
  • Famoso, Fabio
  • Brusca, Sebastian
  • Aizpurua, Jose Ignacio
  • Catterson, Victoria M.

Abstract

Renewable energies are a key element of the modern sustainable development. They play a key role in contributing to the reduction of the impact of fossil sources and to the energy supply in remote areas where the electrical grid cannot be reached.

Suggested Citation

  • Chiacchio, Ferdinando & D’Urso, Diego & Famoso, Fabio & Brusca, Sebastian & Aizpurua, Jose Ignacio & Catterson, Victoria M., 2018. "On the use of dynamic reliability for an accurate modelling of renewable power plants," Energy, Elsevier, vol. 151(C), pages 605-621.
  • Handle: RePEc:eee:energy:v:151:y:2018:i:c:p:605-621
    DOI: 10.1016/j.energy.2018.03.101
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    Cited by:

    1. Ferdinando Chiacchio & Fabio Famoso & Diego D’Urso & Luca Cedola, 2019. "Performance and Economic Assessment of a Grid-Connected Photovoltaic Power Plant with a Storage System: A Comparison between the North and the South of Italy," Energies, MDPI, vol. 12(12), pages 1-25, June.
    2. Julia Schulz & Daniel Leinmüller & Adam Misik & Michael F. Zaeh, 2021. "Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning," Sustainability, MDPI, vol. 13(7), pages 1-27, April.
    3. Priyanka Majumder & Mrinmoy Majumder & Apu Kumar Saha & Soumitra Nath, 2020. "Selection of features for analysis of reliability of performance in hydropower plants: a multi-criteria decision making approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3239-3265, April.
    4. Famoso, Fabio & Brusca, Sebastian & D'Urso, Diego & Galvagno, Antonio & Chiacchio, Ferdinando, 2020. "A novel hybrid model for the estimation of energy conversion in a wind farm combining wake effects and stochastic dependability," Applied Energy, Elsevier, vol. 280(C).
    5. Firouzi, Mohsen & Samimi, Abouzar & Salami, Abolfazl, 2022. "Reliability evaluation of a composite power system in the presence of renewable generations," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    6. Han Zhang & Hanjie Yuan & Gengfeng Li & Yanling Lin, 2018. "Quantitative Resilience Assessment under a Tri-Stage Framework for Power Systems," Energies, MDPI, vol. 11(6), pages 1-23, June.
    7. Dong, Zhe & Li, Bowen & Li, Junyi & Huang, Xiaojin & Zhang, Zuoyi, 2022. "Online reliability assessment of energy systems based on a high-order extended-state-observer with application to nuclear reactors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    8. Chiacchio, Ferdinando & Iacono, Alessandra & Compagno, Lucio & D'Urso, Diego, 2020. "A general framework for dependability modelling coupling discrete-event and time-driven simulation," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    9. Ahmadi, Gholamreza & Toghraie, Davood & Akbari, Omidali, 2019. "Energy, exergy and environmental (3E) analysis of the existing CHP system in a petrochemical plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 234-242.

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