IEA Wind Task 32 + Task 37 Workshop 15:

Optimizing Wind Turbines with Lidar-Assisted Control using Systems Engineering

17th and 18th October 2019

Workshop leader: Task 32: Eric Simley (NREL), Task 37: Pietro Bortolotti (NREL)

Organization team: Katherine Dykes (DTU Wind Energy), Holger Fürst (SWE), David Schlipf (WETI), Andy Scholbrock (NREL)

Venue: University of Massachusetts Amherst, Amherst, MA, USA

Following the NAWEA/WindTech 2019 Conference

Background to the Workshop

The goal of IEA Wind Task 32 is to identify and mitigate barriers to the use of wind lidar for wind energy applications including site assessment, power performance testing, loads and control, and measurements in complex flow. Within the topic of loads and control, Task 32 has been active in mitigating barriers to the use of lidar-assisted wind turbine control.

The purpose of IEA Wind Task 37 is to coordinate international research activities to analyze wind power plants as holistic systems. Through the development of analysis tools and reference models, Task 37 advances systems engineering methods for reducing the  levelized cost of energy of wind energy projects.

Lidar-assisted control (LAC) is effective at reducing structural loads on wind turbines, which has been demonstrated through simulation as well as field testing. However, it is difficult to determine the reduction in cost-of-energy that can be achieved through the use of LAC, especially because of the additional costs associated with integrating lidar hardware into the turbine design. Furthermore, LAC is often analyzed using existing turbine designs. Systems engineering presents an opportunity to directly include the use of LAC during the turbine design process to optimize the levelized cost-of-energy. The aim of this workshop is to combine the experience in lidar-assisted controller design and modeling from Task 32 with the knowledge of systems engineering analysis using reference wind turbine models from Task 37 to show how wind turbines can be optimized with LAC.

Objectives

The primary objective of the workshop is to identify a process for determining the reduction in cost-of-energy made possible by LAC. This objective can be divided into the following steps:

  1. To identify models and simulation capabilities that need to be established to include LAC in the wind turbine optimization process
  2. To identify reference wind turbine models and controllers that can be used to quantify the benefits of LAC
  3. To propose a process for optimizing a reference wind turbine and baseline controller using LAC
  4. To discuss opportunities to further collaborate on the proposed wind turbine optimization research

Concept

The workshop is split into six main sessions:

  1. Educational Session: Understanding LAC and systems engineering
  2. Presentations on the benefits of LAC
  3. Discussion of models needed to include LAC in the wind turbine optimization process
  4. Presentations on wind turbine optimization using systems engineering
  5. Discussion of methods for optimizing wind turbines with LAC
  6. Development of a research plan for optimizing wind turbines with LAC

Expected Outcome

The outcome of the workshop will be

  • An exchange of experience in wind turbine optimization with systems engineering and LAC
  • Initiation of a working group to write a white paper containing a roadmap for including LAC in the optimization of the cost-of-energy of wind turbines
  • Identification of opportunities to pursue further research on wind turbine optimization with LAC

Expected Participants

  • Wind turbine manufacturers
  • Lidar manufacturers
  • Consultants
  • Researchers
  • Academics

Practical Arrangements

Registration

Please register for the workshop here. Please register before 15 September 2019. Registration for the workshop is free of charge.

After you register, please send us one slide by October 7 with your experience in systems engineering and/or lidar-assisted control and your expectation for the workshop. The slide will be used for the introduction round and uploaded to our website. An example from a previous workshop can be found here. The slides and other material will be available after the Workshop on a password-protected website. Please send your slide in PDF format to Eric Simley.

Registered participants will receive more information prior to the workshop.

Venue

The workshop will take place at the the University of Massachusetts Amherst.

The workshop will be held in the Hadley Room on the 10th floor of the Campus Center at the University of Massachusetts Amherst, 1 Campus Center Way, Amherst, MA 01003, USA.

The workshop follows the NAWEA/WindTech 2019 conference, which will held from 14th - 16th  October, also at the University of Massachusetts Amherst. Additional information about the workshop venue, including transportation and lodging information, are available on the NAWEA/WindTech 2019 website:

Contacts

Please contact Eric Simley (Task 32 workshop leader), Pietro Bortolotti (Task 37 workshop leader), or David Schlipf (IEA Wind Task 32 Co-Operating Agent) with any questions about the workshop.

Program

The following program is a draft and subject to revision without notice. Please check back for updates!

Day 1: Thursday, October 17th

9:00

Registration

9:30

Introduction

  • Purpose of the workshop and agenda
  • Presentation round – all (please send us your slide, see registration details)

10:30

Coffee Break

11:00

Educational Session: Lidar-assisted control and systems engineering

  • Overview of lidar-assisted control
  • Overview of wind turbine systems engineering

12:15

Lunch

13:15

Understanding the benefits of lidar-assisted control

  • Invited presentations from the stakeholders with time for questions

14:45

Coffee Break

15:15

16:45

Identifying models needed to include lidar-assisted control in wind turbine design

  • Group discussion in small groups
  • Presentation of results to plenary
  • Discussion and documentation of results

19:00

Dinner

 

Day 2: Friday, October 18th

8:30

Summary of Day 1

9:00

Wind turbine optimization using systems engineering

  • Invited presentations from the stakeholders with time for questions

10:30

Coffee Break

10:45

Identifying methods for optimizing wind turbines with lidar-assisted control

  • Group discussion in small groups
  • Presentation of results to plenary
  • Discussion and documentation of results

12:15

Lunch

13:15

Developing a plan for including lidar-assisted control in wind turbine optimization

  • Discussion of steps that need to be completed to perform wind turbine optimization with lidar-assisted control

14:45

15:15

Summary of the workshop and follow up

  • Discussion of plan to write a white paper outlining the steps that should be completed to optimize wind turbines with lidar-assisted control
  • Decide on next steps

 

Meeting Documents