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The progressive development of turbulence statistics and its impact on wind power predictability

Author

Listed:
  • Woolmington, T.
  • Sunderland, K.
  • Blackledge, J.
  • Conlon, M.

Abstract

Wind resource assessment is a critical parameter in a diverse range of considerations within the built environment. Engineers and scientists, engaging in building design, energy conservation/application and air-quality/air-pollution control measures, need to be cognisant of how the associated wind resource imposes increased complexities in their design and modelling processes. In this regard, the morphological heterogeneities within these environments, present significant challenges to quantifying the resource and its turbulent characteristics.

Suggested Citation

  • Woolmington, T. & Sunderland, K. & Blackledge, J. & Conlon, M., 2014. "The progressive development of turbulence statistics and its impact on wind power predictability," Energy, Elsevier, vol. 77(C), pages 25-34.
  • Handle: RePEc:eee:energy:v:77:y:2014:i:c:p:25-34
    DOI: 10.1016/j.energy.2014.03.015
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    References listed on IDEAS

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    1. Lim, Hee-Chang & Jeong, Tae-Yoon, 2010. "Wind energy estimation of the Wol-Ryong coastal region," Energy, Elsevier, vol. 35(12), pages 4700-4709.
    2. Rocha, P.A. Costa & Rocha, H.H. Barbosa & Carneiro, F.O. Moura & Vieira da Silva, M.E. & Bueno, A. Valente, 2014. "k–ω SST (shear stress transport) turbulence model calibration: A case study on a small scale horizontal axis wind turbine," Energy, Elsevier, vol. 65(C), pages 412-418.
    3. Abbes, Mohamed & Belhadj, Jamel, 2012. "Wind resource estimation and wind park design in El-Kef region, Tunisia," Energy, Elsevier, vol. 40(1), pages 348-357.
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    1. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils," Energy, Elsevier, vol. 97(C), pages 144-150.
    2. José Luis Torres-Madroñero & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Hybrid Energy Systems Sizing for the Colombian Context: A Genetic Algorithm and Particle Swarm Optimization Approach," Energies, MDPI, vol. 13(21), pages 1-30, October.
    3. José Luis Torres-Madroñero & Joham Alvarez-Montoya & Daniel Restrepo-Montoya & Jorge Mario Tamayo-Avendaño & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Technological and Operational Aspects That Limit Small Wind Turbines Performance," Energies, MDPI, vol. 13(22), pages 1-39, November.

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