How Applicable Are Turbulence Assumptions Used in the Tidal Energy Industry?

Alyona Naberezhnykh (), David Ingram, Ian Ashton and Joel Culina
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Alyona Naberezhnykh: King’s Buildings Campus, University of Edinburgh, Edinburgh EH8 9YL, UK
David Ingram: King’s Buildings Campus, University of Edinburgh, Edinburgh EH8 9YL, UK
Ian Ashton: College of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
Joel Culina: Fundy Ocean Research Centre for Energy, 1156 W Bay Rd, Parrsboro, NS B0M 1S0, Canada

Energies, 2023, vol. 16, issue 4, 1-21

Abstract: As tidal current and marine hydro-kinetic energy converters start to be deployed in pre-commercial arrays, it is critical that the design conditions are properly characterised. Turbulence is known to influence fatigue loads and power production, so developers use turbulence models to generate unsteady flows in order to simulate device performance. Most such models construct a synthetic flow field using a combination of measured parameters and theoretical assumptions. The majority in use today are based on atmospheric flow conditions and may have limited applicability in tidal environments. In the present work, we compare key turbulence model assumptions (which are recommended by the tidal turbine standards and are used in design software) to turbulence measurements from two tidal test sites in Scotland and Canada. Here, we show that the two sites have different levels of conformity to theoretical models, with significant variability within nearby locations at the same site. The agreement with spectral models is shown to be depth-dependent. The vertical component spectrum is better represented by the Kaimal model, while the streamwise spectrum is better represented by the von Kármán model. With the exception of one site, the shear profiles follow a power law, although with a different exponent to that commonly assumed. Both sites show significant deviations from the theoretical length scales and isotropy ratios. Such deviations are likely to misrepresent the loads experienced by a device. These results highlight the turbulence characteristics at real deployment sites, which are not well represented by current models, and, hence, which must be determined using field measurements.

Keywords: turbulence; characterisation; model; standards; fatigue load; tidal energy; hydro-kinetic energy converter; Tidal Bladed; TurbSim (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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