Impacts of physical calibration of a spectral wave model and effects of using different temporal wind inputs

George Lavidas, Vengatesan Venugopal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Spectral wave modelling can reduce uncertainties in the estimation of wave energy resource assessment, converter design, extreme value analysis, etc. In spectral models, wave growth is represented with different approaches, resulting in wave resource assessments having large differences especially at high wave values. In this paper a modified version of the North Sea Wave Database is used to quantify the impact of wind temporal fidelity on the wind growth components. The Simulating WAves Nearshore (SWAN) model has been modified, with two different wind inputs used from the European Centre for Medium-Range Weather Forecasts (ECMWF). Results are compared with in-situ measurements an inter-comparison for 20 years (1980-1999). Differences are found on mean and maxima values of wave parameters, with little changes in directionality. However, higher temporal resolution of the wind does not mean always a better hindcast, in fact attention to the calibration of wind-wave growth interactions and whitecaps leads to similar results. Finally, the high fidelity hindcasts are compared, identifying limitations and opportunities for improvements in wave energy assessments.

Original languageEnglish
Title of host publicationTrends in Renewable Energies Offshore
Subtitle of host publicationProceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022
EditorsC. Guedes Soares
PublisherCRC Press
Pages53-58
Number of pages6
ISBN (Print)9781032420035
DOIs
Publication statusPublished - 2 Nov 2022
Event5th International Conference on Renewable Energies Offshore, RENEW 2022 - Lisbon, Portugal
Duration: 8 Nov 202210 Nov 2022

Conference

Conference5th International Conference on Renewable Energies Offshore, RENEW 2022
Country/TerritoryPortugal
CityLisbon
Period8/11/2210/11/22

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