Power and renewables

Webinar: Creating the next generation of validated turbine interaction models for offshore wind farms

Windfarmer - Offshore wind farm

A comparison of the performance of four turbine interaction models for offshore projects and how DNV uses these models in their offshore energy assessment

Date and time:

  • 19 July 2022 - 10 AM CEST / 4pm China Standard Time
  • 19 July 2022 - 5 PM CEST / 8am Pacific Daylight Time
45 minutes: presentation and Q&A

A new generation of turbine interaction models aim to model physical effects not currently captured in industry standard models. DNV has analysed ~7GW and ~4000 turbine years of offshore operational SCADA data and this webinar will present the comparison of the performance of the following four turbine interaction models for offshore projects:

  • DNV Machine Learning model based on CFD simulations
  • DNV’s Stratified Eddy Viscosity Model for wind farm control modelling
  • WindFarmer Eddy Viscosity with large wind farm correction
  • WindFarmer PARK with large wind farm correction

We will also present how DNV use the WindFarmer turbine interaction models in their offshore energy assessments.

Learning objectives:

Understand further some of the challenges and uncertainties inherent in a rigorous methodology for turbine interaction model validation for offshore wind. Through explorations of the error metrics, we will present:

  1. The range of wake losses across several projects and variation in predictions between models.
  2. Benefits and limitations of DNV’s new and industry standard models.

About the speakers:

Tom Levick is the WindFarmer Product manager, leading a team building wind energy project development software including WindFarmer and the Resource Panorama met-data management service. He has been with DNV since 2011 with and has a background in wind resource assessment and Physics.

Ben Williams has worked in the wind industry since 2008 and with DNV since 2016. Ben is a Principal Engineer and the offshore technical lead, experienced in wind energy assessments, wind farm layout design, monitoring plan development, operational performance monitoring and the design of monitoring campaigns for projects.

Register

 

Sign up here

Where:

WEBINAR

When:

19 July 2022

Delegates Fee:

Free of charge

Date and time:

  • 19 July 2022 - 10 AM CEST / 4pm China Standard Time
  • 19 July 2022 - 5 PM CEST / 8am Pacific Daylight Time
45 minutes: presentation and Q&A

A new generation of turbine interaction models aim to model physical effects not currently captured in industry standard models. DNV has analysed ~7GW and ~4000 turbine years of offshore operational SCADA data and this webinar will present the comparison of the performance of the following four turbine interaction models for offshore projects:

  • DNV Machine Learning model based on CFD simulations
  • DNV’s Stratified Eddy Viscosity Model for wind farm control modelling
  • WindFarmer Eddy Viscosity with large wind farm correction
  • WindFarmer PARK with large wind farm correction

We will also present how DNV use the WindFarmer turbine interaction models in their offshore energy assessments.

Learning objectives:

Understand further some of the challenges and uncertainties inherent in a rigorous methodology for turbine interaction model validation for offshore wind. Through explorations of the error metrics, we will present:

  1. The range of wake losses across several projects and variation in predictions between models.
  2. Benefits and limitations of DNV’s new and industry standard models.

About the speakers:

Tom Levick is the WindFarmer Product manager, leading a team building wind energy project development software including WindFarmer and the Resource Panorama met-data management service. He has been with DNV since 2011 with and has a background in wind resource assessment and Physics.

Ben Williams has worked in the wind industry since 2008 and with DNV since 2016. Ben is a Principal Engineer and the offshore technical lead, experienced in wind energy assessments, wind farm layout design, monitoring plan development, operational performance monitoring and the design of monitoring campaigns for projects.