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

Leistungen

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

Development and implementation of probabilistic and uncertainty quantification methods for reliability sensitivity analysis

Development and implementation of probabilistic and uncertainty quantification methods for reliability sensitivity analysis. Based on task 5.4.

Realistic representation of nonlinear wave conditions applicable for offshore wind turbine design

Realistic representation of nonlinear wave conditions applicable for offshore wind turbine design This will include uncertainty measures of the current methods and suggestions for an improved methodologies Based on Tasks 23 and 24

Validation of the newly developed FLS and ULS distribution predictions and quantification of the resulting uncertainty reduction

Validation of the newly developed FLS and ULS distribution predictions and the quantification of the resulting uncertainty reduction. Based on task 4.5.

Quantification of the impacts of HIPERWIND on LCoE

Quantification of the impacts of HIPERWIND on LCoE. A summary report as well as an improved cost modelling tool are delivered. Based on task 6.2.

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

Final project report

Final project report. Task 7.4.

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

Validation of component lifing and reliability models including grid events

Validation of component lifing and reliability models including grid events. Based on task 5.3.

Turbine loading and wake model uncertainty

Turbine loading and wake model uncertainty The report documents the engineering model uncertainty from comparison to LES the probabilistic distribution of environmental parameters and the wind turbine clustering method Based on tasks 313 314 315

Quantification of the impacts of HIPERWIND on Market Value

Quantification of the impacts of HIPERWIND on Market Value. Based on task 6.3.

Floating wind turbine structural design procedure including SLS

Floating wind turbine structural design procedure including SLS. Includes development and quantification of the utilization of SLS for floating wind turbine structural design including the rotor-nacelle assembly.Based on task 4.4.

Dissemination strategy developed and in place

Dissemination strategy developed and in place. Task 7.5.

Quantification of the impact of electrical events on drivetrain mechanical component degradation

Quantification of the impact of electrical events on drivetrain mechanical component degradation Based on task 52

Offshore wind turbine drivetrain component degradation and lifing models

Offshore wind turbine drivetrain component degradation and lifing models Report on the development of the models and overview of their capabilities Based on task 51

Methods for adaptive calculation of FLS loads and reliability, and their impact on probabilistic fatigue design

Methods for adaptive calculation of FLS loads and reliability, and their impact on probabilistic fatigue design. Based on task 4.3.

Methods for efficient ULS reliability calculations and their impact on probabilistic design

Methods for efficient ULS reliability calculations and their impact on probabilistic design. Based on task 4.2.

Final project workshop

Final project workshop. Task 7.6.

Second project external workshop

Second project external workshop. Task 7.6.

First project external workshop

First project external workshop Task 76

Project website established

Project website established. Task 7.6.

Exploitation roadmap

Exploitation roadmap. 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

Advanced O&M model

Advanced O&M model. The model will allow to compute accurate LCoE and value of wind energy and to define risk-based maintenance plans. Based on task 6.1.

Veröffentlichungen

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

Autoren: Yichao Liu,Riccardo Ferrari, Jan-Willem van Wingerden
Veröffentlicht in: Wind Energy Science, Ausgabe 23667451, 2022, ISSN 2366-7451
Herausgeber: Copernicus
DOI: 10.5194/wes-7-523-2022

A truncated, translated Weibull distribution for shallow water sea states

Autoren: Erik Vanem and Tiago Fazeres-Ferradosa
Veröffentlicht in: Coastal Engineering, 2022, ISSN 0378-3839
Herausgeber: Elsevier BV
DOI: 10.1016/j.coastaleng.2021.104077

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

Autoren: Hai Bui and Mostafa Bakhoday-Paskyabi
Veröffentlicht in: Journal of Physics: Conference Series, Ausgabe 17426596, 2022, ISSN 1742-6596
Herausgeber: IOP Science
DOI: 10.1088/1742-6596/2362/1/012006

Gaussian wake model fitting in a transient event over Alpha Ventus wind farm

Autoren: Maria Krutova, Mostafa Bakhoday-Paskyabi
Veröffentlicht in: Wind Energy Science Journal, 2023, ISSN 2366-7451
Herausgeber: Copernicus Gmbh
DOI: 10.5194/wes-2023-79

Virtual sensors for wind turbines based on Machine Learning

Autoren: Nikolay Dimitrov, Tuhfe Gocmen
Veröffentlicht in: Wind Energy, 2022, ISSN 1099-1824
Herausgeber: Wiley & Sons LTD
DOI: 10.1002/we.2762

Modelling of turbine power and local wind conditions in wind farm using an autoencoder neural network

Autoren: Suguang Dou, Nikolay Dimitrov
Veröffentlicht in: Journal of Physics: Conference Series, Ausgabe 2265, 2022, Seite(n) 032069, ISSN 1742-6588
Herausgeber: Institute of Physics
DOI: 10.1088/1742-6596/2265/3/032069

Evaluation of sea surface roughness parameterization in meso-to-micro scale simulation of the offshore wind field

Autoren: Xu Ning, Mostafa Bakhoday Paskyabi, Hoang Hai Bui, Mohammadreza Mohammadpour Penchah
Veröffentlicht in: Journal of Wind Engineering and Industrial Aerodynamics, Ausgabe 242, 2024, Seite(n) 105592, ISSN 0167-6105
Herausgeber: Elsevier BV
DOI: 10.1016/j.jweia.2023.105592

Impact of swell waves on atmospheric surface turbulence: wave–turbulence decomposition methods

Autoren: Mostafa Bakhoday Paskyabi
Veröffentlicht in: Wind Energy Science, Ausgabe 9, 2024, Seite(n) 1631-1645, ISSN 2366-7451
Herausgeber: Copernicus Gmbh
DOI: 10.5194/wes-9-1631-2024

Comparison of probabilistic structural reliability methods for ultimate limit state assessment of wind turbines

Autoren: Hong Wang, Odin Gramstad, Styfen Schär, Stefano Marelli, Erik Vanem
Veröffentlicht in: Structural Safety, Ausgabe 111, 2024, Seite(n) 102502, ISSN 0167-4730
Herausgeber: Elsevier BV
DOI: 10.1016/j.strusafe.2024.102502

Long-term analysis of wave-induced loads using High Order Spectral Method and direct sampling of extreme wave events

Autoren: Odin Gramstadt, Thomas B. Johannessen, Gunnar Lian
Veröffentlicht in: Marine Structures, Ausgabe Volume 91, 2023, Seite(n) 103473, ISSN 1873-4170
Herausgeber: Elsevier
DOI: 10.1016/j.marstruc.2023.103473

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

Autoren: L Brandetti, Y Liu, SP Mulders, C Ferreira, S Watson and JW van Wingerden
Veröffentlicht in: Journal of Physics: Conference Series, Ausgabe 17426596, 2022, ISSN 1742-6596
Herausgeber: IOP Science
DOI: 10.1088/1742-6596/2265/3/032085

Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design

Autoren: Mark Kelly
Veröffentlicht in: Wind Energy Science Journal, 2025, ISSN 2366-7451
Herausgeber: Copernicus GmbH
DOI: 10.5194/wes-2024-69

Given-data probabilistic fatigue assessment for offshore wind turbines using Bayesian quadrature

Autoren: Elias Fekhari, Vincent Chabridon, Joseph Muré, Bertrand Iooss
Veröffentlicht in: Data-Centric Engineering, Ausgabe 5, 2024, ISSN 2632-6736
Herausgeber: Cambridge University Press
DOI: 10.1017/dce.2023.27

Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX)

Autoren: Styfen Schär, Stefano Marelli, Bruno Sudret
Veröffentlicht in: Mechanical Systems and Signal Processing, Ausgabe 208, 2024, Seite(n) 110956, ISSN 0888-3270
Herausgeber: Academic Press
DOI: 10.1016/j.ymssp.2023.110956

Parameterization of Wave‐Induced Stress in Large‐Eddy Simulations of the Marine Atmospheric Boundary Layer

Autoren: Xu Ning, Mostafa Bakhoday Paskyabi
Veröffentlicht in: Journal of Geophysical Research: Oceans, Ausgabe 129, 2024, ISSN 2169-9275
Herausgeber: AGU
DOI: 10.1029/2023jc020722

End-to-end wind turbine design under uncertainties: a practical example

Autoren: NK Dimitrov, M Kelly, M. McWilliam, M Guiton, A Cousin, PA Joulin, ML Mayol, M Munoz-Zuniga, L Franceschini, A Lovera, E Fekhari, E Ardillon, C Peyrard, M Bakhoday-Paskyabi, S Marelli, S Schar, E Vanem, C Agrell, O Gramstad, H Wang
Veröffentlicht in: Journal of Physics: Conference Series, Ausgabe 2767, 2024, Seite(n) 082017, ISSN 1742-6588
Herausgeber: Institute of Physics
DOI: 10.1088/1742-6596/2767/8/082017

Analyzing Extreme Sea State Conditions by Time-Series Simulation Accounting for Seasonality

Autoren: Erik Vanem
Veröffentlicht in: Journal of Offshore Mechanics and Arctic Engineering, 2023, ISSN 0892-7219
Herausgeber: ASME
DOI: 10.1115/1.4056786

Analysing multivariate extreme conditions using environmental contours and accounting for serial dependence

Autoren: Erik Vanem
Veröffentlicht in: Renewable Energy, 2023, ISSN 0960-1481
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.renene.2022.11.033

Implementation of a Simple Actuator Disk for Large-Eddy Simulation in the Weather Research and Forecasting Model (WRF-SADLES v1.2) for wind turbine wake simulation

Autoren: Hai Bui, Mostafa Bakhoday-Paskyabi, Mohammadreza Mohammadpour-Penchah
Veröffentlicht in: Geoscientific Model Development, Ausgabe 17, 2024, Seite(n) 4447-4465, ISSN 1991-9603
Herausgeber: Copernicus Gmbh
DOI: 10.5194/gmd-17-4447-2024

Quantifying and clustering the wake-induced perturbations within a wind farm for load analysis

Autoren: A. Lovera, E. Fekhari, B. Jézéquel, M. Dupoiron, M. Guiton and E. Ardillon
Veröffentlicht in: Journal of Physics: Conference Series, 2023, Seite(n) Volume 2505, pages 012011, ISSN 1742-6596
Herausgeber: IOP Science
DOI: 10.1088/1742-6596/2505/1/012011

A Joint Probability Distribution for Multivariate Wind-Wave Conditions and Discussions on Uncertainties

Autoren: Erik Vanem, Elias Fekhari, Nikolay Dimitrov, Mark Kelly, Alexis Cousin, Martin Guiton
Veröffentlicht in: Journal of Offshore Mechanics and Arctic Engineering, Ausgabe 146, 2024, ISSN 0892-7219
Herausgeber: ASME
DOI: 10.1115/1.4064498

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

Autoren: Kim, T., Natarajan, A., Lovera, A., Julan, E., Peyrard, C., Capaldo, M., Huwart, G., Bozonnet, P., & Guiton, M
Veröffentlicht in: Journal of Physics: Conference Series, Ausgabe 17426596, 2022, ISSN 1742-6596
Herausgeber: IOPScience
DOI: 10.1088/1742-6596/2265/4/042006

An open-source Python-based tool for Mann turbulence generation with constraints and non-Gaussian capabilities

Autoren: Nikolay Dimitrov, Mads Pedersen, Ásta Hannesdóttir
Veröffentlicht in: Journal of Physics: Conference Series, Ausgabe 2767, 2024, Seite(n) 052058, ISSN 1742-6588
Herausgeber: Institute of Physics
DOI: 10.1088/1742-6596/2767/5/052058

Multiscale Simulation of Offshore Wind Variability During Frontal Passage: Brief Implication on Turbines' Wakes and Load

Autoren: Mostafa Bakhoday-Paskyabi, Maria Krutova, Hai Bui and Xu Ning
Veröffentlicht in: Journal of Physics: Conference Series, 2022, ISSN 1742-6596
Herausgeber: IOP Science
DOI: 10.1088/1742-6596/2362/1/012003

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

Autoren: E. Fekhari, B. Iooss, V. Chabridon, J. Muré
Veröffentlicht in: Trends in Renewable Energies Offshore, 2022
Herausgeber: HAL open science
DOI: 10.1201/9781003360773-93

Bernstein adaptive nonparametric conditional sampling: a new method for rare event probability estimation

Autoren: Elias Fekhari, Vincent Chabridon, Bertrand Iooss, Joseph Muré
Veröffentlicht in: Proceedings of the International Conference on Application of Statistics and Probability in Civil Engineering, 2023
Herausgeber: International Conference on Application of Statistics and Probability in Civil Engineering

Wake parametrization and surrogate modeling for loads and power prediction

Autoren: N. Bonfils, G. Huwart, M. Guiton, T. Perdrizet
Veröffentlicht in: Proceedings of the WindEurope Technology workshop (2022), 2022
Herausgeber: WindEurope

A novel strategy to surrogate the transient response of wind turbine simulations

Autoren: Schär, Styfen; Marelli, Stefano; Sudret, Bruno
Veröffentlicht in: MASCOT-NUM Annual Meeting 2022, Clermont Ferrand, France, June 7–9, 2022, Ausgabe 4, 2022
Herausgeber: ETH Zurich, Institute of Structural Engineering
DOI: 10.3929/ethz-b-000588038

Drag coefficient Uncertainty for floating wind turbines

Autoren: Fabien Robaux, Adria Borras Nadal, Christophe Peyrard, Michel Benoit, William Benguigui, Martin Guiton
Veröffentlicht in: Proceedings of the conference 18ème journées de l’hydrodynamique, Nov 2022, Poitiers, France., 2022
Herausgeber: 18ème journées de l’hydrodynamique, Nov 2022, Poitiers, France.

Reliability analysis of wind turbines using manifold-NARX surrogate models

Autoren: Schär, Styfen; id_orcid0000-0001-6715-220X; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Veröffentlicht in: Engineering Mechanics Institute 2023 International Conference (EMI 2023), Palermo, Italy, August 27-30, 2023, Ausgabe 1, 2023
Herausgeber: ETH Zurich
DOI: 10.3929/ethz-b-000638791

Drag coefficient Uncertainty for floating wind turbines

Autoren: F. Robaux, A. Borras Nadal, C. Peyrard, Michel Benoit, William Benguigui, M. Guiton
Veröffentlicht in: Journée Hydrodynamique Poitiers, France, 2022
Herausgeber: Journée Hydrodynamique Poitiers

Analyzing extreme sea state conditions by time-series simulation

Autoren: Erik Vanem
Veröffentlicht in: Proceedings of the ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering OMAE 2022, 2022, ISBN 978-0-7918-8586-4
Herausgeber: ASME
DOI: 10.1115/omae2022-78795

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

Autoren: Suguang Dou, Nikolay Dimitrov
Veröffentlicht in: Proceedings of the WindEurope technology workshop (2022), 2022
Herausgeber: WindEurope

A Joint Probability Distribution Model for Multivariate Wind and Wave Conditions

Autoren: Erik Vanem, Elias Fekhari, Nikolay Dimitrov, Mark Kelly, Alexis Cousin, Martin Guiton
Veröffentlicht in: Proceedings series of the International Conference on Offshore Mechanics and Arctic Engineering (OMAE), 2023
Herausgeber: ASME
DOI: 10.1115/omae2023-101961

Autoregressive surrogate models of high-dimensional time-dependent wind turbine simulations for uncertainty quantification

Autoren: Schär, Styfen; Marelli, Stefano; id_orcid0000-0002-9268-9014; Sudret, Bruno; id_orcid0000-0002-9501-7395
Veröffentlicht in: Engineering Mechanics Institute Conference (EMI 2022), Baltimore, MD, USA, May 31 – June 3, 2022, Ausgabe 1, 2022
Herausgeber: ETH Zurich, Institute of Structural Engineering
DOI: 10.3929/ethz-b-000588042

Uncertainty evaluation of BEM approaches for offshore wind turbine design

Autoren: M. L. Mayol, P. A. Joulin, N. K. Dimitrov, A. Lovera, S. Eldevik, A. Cousin, and M. Guiton
Veröffentlicht in: EMSRIM conference, 2022
Herausgeber: EMSRIM conference

A Simulation Study on the Usefulness of the Bernstein Copula for Statistical Modeling of Metocean Variables

Autoren: Erik Vanem, Øystein Lande, Elias Fekhari
Veröffentlicht in: Volume 2: Structures, Safety, and Reliability, 2024
Herausgeber: American Society of Mechanical Engineers
DOI: 10.1115/omae2024-121159

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Veröffentlichungen

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