Identifying and Mitigating Barriers to Using Lidar for Wind Energy Applications

Transcription

1 Identifying and Mitigating Barriers to Using Lidar for Wind Energy Applications IEA Wind Task 32: Wind Lidar Andrew Clifton WindForS Source: U. Stuttgart SWE

2 What is IEA Wind Task 32? IEA Wind is an international framework for collaborative wind energy research Focusses on the use of wind lidar technology for wind energy applications Identify and mitigate barriers to deploying wind lidar Tangible outcomes such as recommended practices 12 countries including AT, CAN, CN, DE, DK, FR, JP, NL, NO, SK, UK, US. Implementation Site Assessment Power Performance Loads & Control Complex Flow Research IEA Wind Task 32 2

3 What Are The Barriers To Adoption? Four application areas, each with unique issues Site Assessment Lidar systems cost, reliability and accuracy Explore ways to improve technologies and methods Power Performance Gaps in standards and transferability Explore adaptation of standards for the use of ground-based lidar IEA Wind Task 32 3

4 What Are The Barriers to Adoption? Four application areas, each with unique issues Loads and Control Relationship between lidar & turbine Develop data processing tools Initiate guidelines Complex Flow Limitation of lidar in complex flow, possibilities of multi-lidar Understand needs and limits of lidar use in complex flow IEA Wind Task 32 4

5 Task 32 Brings Experts Together GENERAL MEETINGS WORKSHOPS Establish the state of the art in a particular topic or application Identify the barriers to adoption of lidar for that application Work out if those are real Suggest a path forward to get through them IEA Wind Task 32 5

6 Workshops So Far #1: FLOATING LIDAR SYSTEMS Led by Julia Gottschall, Fraunhofer IWES Hosted by Offshore Renewable Energy Catapult, Blyth, UK, Feb 2016 Roadmap for the improvement of the technology s maturity #2: OPTIMIZING LIDAR FOR TURBINE CONTROL Led by Eric Simley, Envision Energy Combined with ACC, Boston, July 2016 Tutorial on the use of lidar for wind turbine controls IEA Wind Task 32 6 Source: J. Gottschall, IWES Fraunhofer

7 Workshops So Far #3: LIDAR MEASUREMENTS OF WAKES FOR MODEL VALIDATION Collaboration between two IEA Tasks Task 31: Javier Sanz Rodrigo, CENER Task 32: Davide Trabucchi, U. Oldenburg Need for guidance in creating, sharing and analysing lidar measurements for wake studies #4: POWER PERFORMANCE: ROUND ROBIN Collaboration with Power Curve Working Group ( led by Luke Simmons, DNV-GL Identified need for well-defined uncertainty Round robin results Source: D. Schlipf, U. Stuttgart SWE IEA Wind Task 32 7

8 Workshops So Far #5: USE CASES IN WAKE AND COMPLEX FLOWS Led by Peter Clive, Wood Group. Hosted by U. Glasgow WS01 Floating lidar Researcher Turbine manufacturer Lidar system manufacturer End User Worked on use cases for lidar measurements in complex flow Investigating uncertainty estimates Worked example of use cases and uncertainty WS02 Controls WS03 Wake assessment WS04+RR Power performance WS05 Use cases IEA Wind Task 32 8

9 So, what s the uncertainty of the measurements? Every end-user of lidar data, ever IEA Wind Task 32 9

10 Where Do Lidar Uncertainties Come From? Lidar measurements do not happen in isolation Device Line of sight velocity Lots of interactions Data analysis Operating environment Decisions Source: PNNL via Flickr IEA Wind Task 32 10

11 Use Cases Use case combines Data requirements (WS, WD) Situation (simple, complex) Methods (profiler) Use Case 1: Profiler in uniform flow Reference Device No sensitivity to location Defines a unique situation E.g. power performance measurements in simple flows (IEC ) Allows exchange of ideas Use Case 2: Profiler in complex flow Reference Device High sensitivity to location IEA Wind Task 32 11

12 Use Cases Help Identify Research Questions How do we use models to help interpret our data? Use Case 1: Profiler in uniform flow Reference How do we validate our models? What is the uncertainty of the result? How do we modify our methods for different situations? What can we do with lidar, that we can t do with other sensors? Device Use Case 2: Profiler in complex flow Reference Device IEA Wind Task 32 12

13 What Else Can We Do With Lidar? Longer term research directions: How do we generalize methods and results? What could we do if we didn t force measurements back to a point comparison? Source: How do we make lidar a reliable, standard tool for wind turbine and farm control? IEA Wind Task 32 13

14 Next Workshops Power Performance Measurement Using Nacelle Lidars September 2017, DONG Energy, Denmark Led by Rozenn Wagner (DTU) Source: R. Wagner, DTU Practicalities of Using Wind Lidar in Complex Terrain November 2017, Stuttgart, Germany Led by SWE and WindForS Source: A. Clifton IEA Wind Task 32 14

15 Next Workshops What would you like to see? Loads & Controls Certification of Lidar-Assisted Control Applications January 30 & , Hamburg, Germany led by Nikolai Hille (DNV GL) IEA Wind Task 32 15

16 How To Get Involved Participate in a workshop ieawindtask32@ifb.uni- Stuttgart.de General meeting Stuttgart, November 2017 Source: USTUTT-SWE IEA Wind Task 32 16

17 Let s Talk! Andrew Clifton WindForS clifton@windfors.de To find out more, or to get involved: IEAWind.Task32@ifb.uni-stuttgart.de The IEA Wind TCP agreement, also known as the Implementing Agreement for Co-operation in the Research, Development, and Deployment of Wind Energy Systems, functions within a framework created by the International Energy Agency (IEA). Views, findings, and publications of IEA Wind do not necessarily represent the views or policies of the IEA Secretariat or of all its individual member countries. IEA Wind Task 32 17