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HIghly advanced Probabilistic design and Enhanced Reliability methods for high-value, cost-efficient offshore WIND

Deliverables

Atmospheric-wave multi-scale flow modelling that will resolve the flow fields from mesoscale to farm/turbine scale

Atmosphericwave multiscale flow modelling that will resolve the flow fields from mesoscale to farmturbine scale Based on Tasks 21 22 23

Aero-servo-hydro-elastic model uncertainty

Aeroservohydroelastic model uncertainty The report documents the uncertainty on aerodynamic loading and on hydrodynamic loading for the fixed and floating case study Based on task 32

Novel surrogate modelling approaches for wind turbine reliability assessment

Novel surrogate modelling approaches for wind turbine reliability assessment The report gathers the developments on dimensionality reduction with Kriging and Bayesian neural networks and compare their efficiency on a common case study Based on task 41

Wind farm parameterization and turbulent wind box generation

Wind farm parameterization and turbulent wind box generation Report on the results including the global sensitivity results on parameters as well as scripts for turbulence box generation Based on tasks 311 and 312

Dissemination strategy developed and in place

Dissemination strategy developed and in place. Task 7.5.

Environmental joint probability distributions and uncertainties

Environmental joint probability distributions and uncertainties These include quantificationidentification of the sitespecific probability distributions of mean wind and wave conditions as well as return periods and magnitudes of transient events Based on tasks 22 23 24 25

First project external workshop

First project external workshop Task 76

Project website established

Project website established. Task 7.6.

Publications

Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach

Author(s): Yichao Liu,Riccardo Ferrari, Jan-Willem van Wingerden
Published in: Wind Energy Science, 23667451, 2022, ISSN 2366-7451
Publisher: Copernicus
DOI: 10.5194/wes-7-523-2022

A truncated, translated Weibull distribution for shallow water sea states

Author(s): Erik Vanem and Tiago Fazeres-Ferradosa
Published in: Coastal Engineering, 2022, ISSN 0378-3839
Publisher: Elsevier BV
DOI: 10.1016/j.coastaleng.2021.104077

Mesoscale Simulation of Open Cellular Convection: Roles of Model Resolutions and Physics Parameterizations

Author(s): Hai Bui and Mostafa Bakhoday-Paskyabi
Published in: Journal of Physics: Conference Series, 17426596, 2022, ISSN 1742-6596
Publisher: IOP Science
DOI: 10.1088/1742-6596/2362/1/012006

Virtual sensors for wind turbines based on Machine Learning

Author(s): Nikolay Dimitrov, Tuhfe Gocmen
Published in: Wind Energy, 2022, ISSN 1099-1824
Publisher: Wiley & Sons LTD
DOI: 10.1002/we.2762

On the ill-conditioning of the combined wind speed estimator and tip-speed ratio tracking control scheme

Author(s): L Brandetti, Y Liu, SP Mulders, C Ferreira, S Watson and JW van Wingerden
Published in: Journal of Physics: Conference Series, 17426596, 2022, ISSN 1742-6596
Publisher: IOP Science
DOI: 10.1088/1742-6596/2265/3/032085

A comprehensive code-to-code comparison study with the modified IEA15MW-UMaine Floating Wind Turbine for H2020 HIPERWIND project

Author(s): Kim, T., Natarajan, A., Lovera, A., Julan, E., Peyrard, C., Capaldo, M., Huwart, G., Bozonnet, P., & Guiton, M
Published in: Journal of Physics: Conference Series, 17426596, 2022, ISSN 1742-6596
Publisher: IOPScience
DOI: 10.1088/1742-6596/2265/4/042006

Efficient techniques for fast uncertainty propagation in an offshore wind turbine multi-physics simulation tool

Author(s): E. Fekhari, B. Iooss, V. Chabridon, J. Muré
Published in: Trends in Renewable Energies Offshore, 2022
Publisher: HAL open science

Wake parametrization and surrogate modeling for loads and power prediction

Author(s): N. Bonfils, G. Huwart, M. Guiton, T. Perdrizet
Published in: Proceedings of the WindEurope Technology workshop (2022), 2022
Publisher: WindEurope

Uncertainty analysis of hydrodynamic coefficients for floating wind turbine using CFD solvers

Author(s): F. Robaux, A. Borras Nadal, C. Peyrard, Michel Benoit, William Benguigui, M. Guiton
Published in: Journée Hydrodynamique Poitiers, France, 2022
Publisher: Journée Hydrodynamique Poitiers

Analyzing extreme sea state conditions by time-series simulation

Author(s): Erik Vanem
Published in: Proceedings of the ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering OMAE 2022, 2022, ISBN 978-0-7918-8586-4
Publisher: ASME
DOI: 10.1115/omae2022-78795

Deep learning-based modelling of wake-induced effects in wind farms

Author(s): Suguang Dou, Nikolay Dimitrov
Published in: Proceedings of the WindEurope technology workshop (2022), 2022
Publisher: WindEurope

Uncertainty evaluation of BEM approaches for offshore wind turbine design

Author(s): M. L. Mayol, P. A. Joulin, N. K. Dimitrov, A. Lovera, S. Eldevik, A. Cousin, and M. Guiton
Published in: EMSRIM conference, 2022
Publisher: EMSRIM conference