Poster presentations - WindEurope Technology Workshop 2021
Resource Assessment & Analysis of Operating Wind Farms 2021
8-10 September • Online

Poster presentations

Topic 1 – Operations

PO001

Advanced wind turbine blade impact detection with night vision capability

Roberto Albertani, Professor, Oregon State University

PO002

Use of artificial intelligence and machine learning algorithms to accurately detect, classify and deter birds maximizing wind turbines operating time and saving bird lives

Vassilis Orfanos, CEO – Gocom & Executive Management Consultant – nvisionist

PO003

Evaluating the performance of a wind generator in providing droop control during grid frequency increases – an independent analysis

Eldrich Rebello, Wind Integration Engineer, Wind Energy Institute of Canada

PO004

Optimising yaw control to local wind conditions

Bruno Pinto, Chief Technology Officer, Sereema

PO005

Automation for smart operations to increase wind farm availability by 1%

Jorge López Lanzuela, Product Manager, Green Eagle Solutions

PO006

Optimum wind: Intelligent wind energy management platform

Fabiola Roccatagliata, Electrical Smart Grid Engineer, Rina Consulting S.p.A

PO007

Case Study: Detection of aerodynamic rotor imbalance and the evaluation of performance before and after correction

Christophe Lepaysan, CEO, Epsiline

PO010

Presentation of the gain linked to the implementation of an option to improve the program to regulate the alignment of the nacelle in relation to wind direction

Julien Dalmas, Manager Technical Engineering, VALEMO

PO011

Field evaluation and results of nacelle LiDAR embedded new processing algorithms for advanced turbine control

Zhi Liang, R&D Scientific Manager, Leosphere

PO012

IREC wind energy indexes: macro indicators for performance monitoring over time

Marion Jude, Senior Wind Analyst, Eoltech

PO013

Simplified analysis of the power curve

Silvina Guimarães, Senior Technician of the Wind Energy Group and Technical Coordinator of Wind Turbine Testing, INEGI

PO014

Long-term wind turbine performance deterioration assessment through power curve analysis and machine learning techniques

Velissarios Kourkoulis, Digital Data Services Manager, Vector Renewables Srl, NUO Energy

PO015

How to take advantage of new technological developments for the success in life extension assessments of wind turbines: Lifetime assessment through SCADA data

Lucas Santiago López Aragón, Head of Loads & Sites, Siemens Gamesa Renewable Energy

PO018

Evaluating a load curtailment removal using an independent monitoring device, a case study with EKZ

Aleix Torner, Wind Engineer, Sereema

PO019

Remote lubrication management of wind turbines

Michael Slembeck, Manager OEM Solution Center, SKF Group

PO020

Data analytics to detect critical failure modes in offshore wind turbines: the case of pitch systems

Jone Irigoyen, Project Engineer, General Manager, Basque Energy Cluster

PO021

Using different types of digital twins for remote condition monitoring

Henrik Pedersen, Solution Architect, Diagnostics, Siemens Gamesa Renewable Energy

PO022

Static yaw misalignment: 1.2 GWh AEP increase by identification and correction

Nicolaz Guidon, Operation & Wind Resource Engineer, CGN Europe Energy

PO023

LiDAR met masts for ongoing performance measurements of onshore and offshore wind farms

John Slater, Senior Consultant, Fuchtner Consulting Engineers

PO024

Journey to prescriptive maintenance

Jan Reifferscheidt, Reliability Engineer, Siemens Gamesa Renewable Energy

PO025

The path towards O&M decision automation for renewables

Philippe Cambron, Wind Energy Research & Development Specialist, Power Factors

PO026

Power performance assessment and optimization using spinner anemometers and nacelle LiDAR systems

Koen Hermans, Researcher Offshore Wind, TNO

PO027

Monitoring of export and inter-array cables using Distributed Rayleigh Sensing

Kuljit Singh, Business Development Manager, OptaSense Ltd

Topic 2 โ€“ Artificial Intelligence & Big Data

PO034

Detection system for extreme wind events based on WRF high-resolution simulations and deep learning

Bert Gollnick, Senior Data Scientist, Siemens Gamesa Renewable Energy

PO035

How to develop the right wind power project? Wind resource screening downscaling the New European Wind Atlas with CFD and machine learning

Pablo Duran, Project Engineer & Developer, WindSim

PO037

Condition monitoring of wind turbines using predictive models performance from SCADA data

Jui-Hung Liu, Assistant Professor, Southern Taiwan University of Science and Technology

PO038

Predictive maintenance of operating assets and digital twins

Urban Elgqvist, Marketing Manager, Hitachi ABB Power Grids

PO039

Rina Genium Wind – An AI based solution for the integrity management of wind turbine blades

Enrico Di Martino, Digital Project Manager, Rina Consulting S.p.A

PO040

Data Capability: A framework to scale and allow machine learning

Monelle Comeau, Senior Data Scientist, Power Factors

PO041

IEA Wind Task 43: Data science documentation a new guideline to applying data science in wind energy

Rob Hammond, Wind Technology Software Engineer, National Renewable Energy Laboratory (NREL)

PO043

Identifying the impact of location type on the quality of MCP-based predictions using Machine Learning approaches

Sandra Schwegmann, Scientist, Fraunhofer IWES

PO044

OpenOA and ENTR: An open-source framework for the analysis of operational wind plant data

Eric Simley, Research Engineer, National Renewable Energy Laboratory (NREL)

Topic 3 – Forecasting

PO045

Regionally extended shared socioeconomic pathways for the offshore wind industry in Finland

Jamie Jenkins, Doctoral Student, University of Helsinki

PO049

A holistic approach to improve the model & value chain of renewable energy forecasting – the smart4RES project

Simon Camal, Senior Researcher, Project Manager, MINES ParisTech – Centre PERSEE

Topic 4 โ€“ Business Models

PO050

IEA Wind Task 43: grand challenges in the digitalisation of wind energy

Andrew Bray, Principal, MXV Ventures

PO051

Rethinking Innovation

Michael Stephenson, Associate Director, The Renewables Consulting Group

PO052

An automated end-to-end multidisciplinary framework for wind farm prospecting

Zaiyong Zhang, Data Scientist, Siemens Gamesa Renewable Energy

PO054

Wind O&M digitalization maturity model

Alex Koltsidopoulos, Lead Renewables Consultant, Xodus Group

Topic 5 โ€“ Resource Assessment

PO056

High-resolution estimation of wind resources at turbine hub height with SAR and machine learning

Romain Husson, Research Engineer, CLS

PO057

Determination of wake decay constant to parametrize the N.O. Jensen wake model

Niklas Wittkamp, Project Manager Site Assessment, wpd europe GmbH

PO058

Mesoscale numerical models and reanalysis products for onshore and offshore wind resource assessment: which is better?

Nicola Bodini, Researcher, National Renewable Energy Laboratory (NREL)

PO063

The use of zarr files to store and study 4D wind flow BLOCKS

Marta Gil Bardaji, R&D Wind Modelling, Vortex FdC

PO065

Case study in a enabling a WRA data platform using IEA Task 43 data model

Amit Bohara, Principal, Altosphere

PO066

Regionally calibrated wind resource estimates to de-risk and accelerate early wind farm development and acquisition processes

Daniela Ribeiro, Head of Section, Project Development & Operation, DNV

PO068

Wind resource assessment using a novel meso-microscale coupling framework based on machine learning

Pablo Duran, Project Engineer & Developer, WindSim

PO069

Modeling wind farms and turbines using a Vortex Filament Method

Jacob Krispin, Founder & CEO, Vorcat, Inc.

PO070

Exploration of pragmatic ways to evaluate wake decay constants for offshore wind farms

Jan Heinen, Wind expert, Tractebel

PO071

Numerical simulation of flow past a floating wind turbine subjected to wave-induced motion using a Vortex Filament Method

Jacob Krispin, Founder & CEO, Vorcat, Inc.

PO072

Wind farm blockage – an effective approach

Katja Kleeberg, CFD Developer, WindSim

PO074

Operational asset results of interaction effects between atmospheric flow and a closely-spaced lateral wind farm configuration

Thales Delmiro, Wind Farm Project Development Engineer, Casa dos Ventos

PO076

Quantifying the wind farm cumulative induction zone effect

Aidan Keane, Renewable Energy Consultant, Wood Renewables

PO077

Impact of health and safety on offshore wind operations and available resource

Jade McMorland, PhD Student, University of Strathclyde

PO081

Where did the wind go? Looking into the extreme case of the 2020 summer monsoon in India

Philippe Beaucage, Lead Research Scientist, UL

PO083

A case study of a numerical site calibration over complex terrain

Lan Ding, Operation Assessment Engineer, EDF Renouvelables

PO084

Satellite-based products to underpin and improve the accuracy of wind resource assessments

Torsten Bondo, Business Development Manager, DHI GRAS

PO086

Wake model validation and wake detection methods

Aidan Keane, Renewable Energy Consultant, Wood Renewables

PO088

High fidelity data-driven generation of synthetic wind speeds

Daniele D'Ambrosio, PhD Student, Vrije Universiteit Brussel (VUB)

PO089

Towards a comprehensive use of wind farm production data for improving resource assessment

Lukas Vollmer, Researcher, Fraunhofer IWES

PO090

Method to improve accuracy of production modelling and loss interaction in the time domain

Marion Le Doeuff, Analytics Manager, Natural Power

PO091

Measurement strategy for the repowering of a 26 WTGs wind farm in simple terrain

Romain Fabre, Wind Resource Assessment Engineer, EDF Renouvelables

PO098

Assessment of nacelle-mounted lidar for turbine power performance testing

Robin Cote, WindCube Nacelle Product Manager, Leosphere

PO101

1-year of offshore wind measurements with a 40m-high floating met mast

Dimitri Foussekis, Senior Research Engineer, C.R.E.S.

PO102

How will floating foundations impact energy yield assessments?

Joseph Thompson, Analyst, K2 Management

PO103

Wind resource assessment for a floating wind turbine: TetraSpar demonstration project

Sam Williams, Technical Analyst, RWE Renewables

PO105

Modelled datasets: are they getting it right and what value do they bring?

Marie-Anne Cowan, Lead Offshore Wind Engineer, Wood Thilsted

PO108

Quality measures for for the spatial/temporal characteristics of modelled wind fields

Hans Georg Beyer, Professor, University of the Faroe Islands

PO109

Comparing pre- and post-construction wind farm energy yield estimates in Nordics

Ville Lehtomäki, Managing Director, Kjeller Vindteknikk