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 – 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 – 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 – 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 |