On- and Offshore Assessment of the ZephIR Wind-LiDAR

Similar documents
VALIDATION OF WIND SPEED DISTURBANCES TO CUPS AT THE METEORLOCICAL MAST ON THE OFFSHORE PLATFORM FINO1 USING WIND-LIDAR MEASUREMENTS.

TESTING AND CALIBRATION OF VARIOUS LiDAR REMOTE SENSING DEVICES FOR A 2 YEAR OFFSHORE WIND MEASUREMENT CAMPAIGN

Executive Summary of Accuracy for WINDCUBE 200S

Available online at ScienceDirect. Energy Procedia 53 (2014 )

Results and conclusions of a floating Lidar offshore test

OFFSHORE CREDENTIALS. Accepted for wind resource assessment onshore and offshore by leading Banks Engineers, globally

3D Nacelle Mounted Lidar in Complex Terrain

Can Lidars Measure Turbulence? Comparison Between ZephIR 300 and an IEC Compliant Anemometer Mast

CORRELATION EFFECTS IN THE FIELD CLASSIFICATION OF GROUND BASED REMOTE WIND SENSORS

FINO1 Mast Correction

Validation of Measurements from a ZephIR Lidar

Wind LiDAR measurement campaign at CESAR Observatory in Cabauw: preliminary results

Comparison of flow models

NORCOWE met-ocean measurement campaigns

Analysis and Verification of Wind Data from Ground-based LiDAR

COMPARISON OF ZEPHIR MEASUREMENTS AGAINST CUP ANEMOMETRY AND POWER CURVE ASSESSMENT

Remote sensing standards: their current status and significance for offshore projects

10 years of meteorological measurements at FINO1

Carbon Trust Offshore Wind Accelerator. OWA floating LiDAR campaign: Babcock trial at Gwynt Y Môr Copenhagen, 11 March 2015 Megan Smith

New IEC and Site Conditions in Reality

Full Classification acc. to IEC for SoDAR AQ510 Wind Finder. Vincent Camier, Managing Director, Ammonit Measurement GmbH

Rotor Average wind speed for power curve performance. Ioannis Antoniou (LAC), Jochen Cleve (LAC), Apostolos Piperas (LAC)

2. Fachtagung Energiemeteorologie 2011, Bremerhaven SITE ASSESSMENT. WIND TURBINE ASSESSMENT. GRID INTEGRATION. DUE DILIGENCE. KNOWLEDGE.

Validation of long-range scanning lidars deployed around the Høvsøre Test Station

Investigating Wind Flow properties in Complex Terrain using 3 Lidars and a Meteorological Mast. Dimitri Foussekis

FRØYA SEAWATCH WIND LIDAR BUOY PRE-DEPLOYMENT VALIDATION

PROJECT CYCLOPS: THE WAY FORWARD IN POWER CURVE MEASUREMENTS?

GL GH Offshore Wind Measurements

How good are remote sensors at measuring extreme winds?

The NORCOWE legacy - data and instrumentation

Report on the Research Project OWID Offshore Wind Design Parameter

Wind Project Siting & Resource Assessment

DIRECTION DEPENDENCY OF OFFSHORE TURBULENCE INTENSITY IN THE GERMAN BIGHT

July Interim Report. National Institute of Wind Energy (NIWE) Wind Resource Assessment & Offshore Unit Chennai, India.

Increased Project Bankability : Thailand's First Ground-Based LiDAR Wind Measurement Campaign

Predicting climate conditions for turbine performance

Offshore Micrositing - Meeting The Challenge

Shorter wind measurement campaigns Re-thinking with LiDAR

Deep Sea Offshore Wind Power R&D Seminar Trondheim, Jan. 2011

Windcube FCR measurements

Measurement and simulation of the flow field around a triangular lattice meteorological mast

Wind Speed and Energy at Different Heights on the Latvian Coast of the Baltic Sea

Valerijs Bezrukovs, Vladislavs Bezrukovs Ventspils University College Latvia. WREF2012 Denver, CO May 13-17, 2012

Site Description: LOCATION DETAILS Report Prepared By: Tower Site Report Date

National Renewable Energy Laboratory. Wind Resource Data Summary Guam Naval Ordnance Annex Data Summary and Retrieval for November 2009

Validation of measurements from a ZephIR Lidar

FIVE YEARS OF OPERATION OF THE FIRST OFFSHORE WIND RESEARCH PLATFORM IN THE GERMAN BIGHT FINO1

can the wind industry bank on wind lidar? November 2014

Assessing the quality of Synthetic Aperture Radar (SAR) wind retrieval in coastal zones using multiple Lidars

Strategic Advice about Floating LiDAR Campaigns. Borssele offshore wind farm

The Offshore Boundary Layer Observatory (OBLO) Possibilities for the offshore wind industry

Wind Data Verification Report Arriga 50m

Power curves - use of spinner anemometry. Troels Friis Pedersen DTU Wind Energy Professor

FUGRO/OCEANOR SEAWATCH WIND LIDAR BUOY ASSESSMENT OF THE FUGRO/OCEANOR SEAWATCH FLOATING LIDAR VERIFICATION AT RWE IJMUIDEN MET MAST

WIND ENERGY REPORT GERMANY 2013

COMPARASION OF WIND MEASUREMENTS BY LIDAR AND MEASUREMENT MAST FOR BORA WIND IN BOSNIA AND HERZEGOVINA. Elvir Zlomušica, Suad Zalihić, Jasmin Bejdić

A Comparison of the UK Offshore Wind Resource from the Marine Data Exchange. P. Argyle, S. J. Watson CREST, Loughborough University, UK

Energy Output. Outline. Characterizing Wind Variability. Characterizing Wind Variability 3/7/2015. for Wind Power Management

Stefan Emeis

Measuring power performance with a Wind Iris 4- beam in accordance with EUDP procedure

Supplement of Wind turbine power production and annual energy production depend on atmospheric stability and turbulence

Evaluation of wind flow with a nacelle-mounted, continuous wave wind lidar

LiDAR Application to resource assessment and turbine control

Wind resource assessment over a complex terrain covered by forest using CFD simulations of neutral atmospheric boundary layer with OpenFOAM

Wake effects at Horns Rev and their influence on energy production. Kraftværksvej 53 Frederiksborgvej 399. Ph.: Ph.

Wind Resource Assessment for NOME (ANVIL MOUNTAIN), ALASKA Date last modified: 5/22/06 Compiled by: Cliff Dolchok

Coherence of turbulent wind at FINO1

Rotor equivalent wind speed for power curve measurement comparative exercise for IEA Wind Annex 32

The Wind Resource: Prospecting for Good Sites

Available online at ScienceDirect. Energy Procedia 76 (2015 ) European Geosciences Union General Assembly 2015, EGU

Tidal influence on offshore and coastal wind resource predictions at North Sea. Barbara Jimenez 1,2, Bernhard Lange 3, and Detlev Heinemann 1.

renewable energy projects by renewable energy people

Site Description: Tower Site

Bankable Wind Resource Assessment

Meteorological Measurements OWEZ

Meteorological Measurements OWEZ

Combined Wave and Wind Fatigue Damage for Offshore Structures

Yawing and performance of an offshore wind farm

Torrild - WindSIM Case study

Wind shear and its effect on wind turbine noise assessment Report by David McLaughlin MIOA, of SgurrEnergy

Scanning lidar measurements of offshore wind turbine wakes. Peter Clive Senior Scientist, SgurrEnergy All Energy, Glasgow

PARK - Main Result Calculation: PARK calculation (5 x 166m, + LT CORR + MITIGATION) N.O. Jensen (RISØ/EMD)

Measuring offshore winds from onshore one lidar or two?

Computational Fluid Dynamics

Analysis of Traditional Yaw Measurements

IMPROVEMENT OF THE WIND FARM MODEL FLAP FOR OFFSHORE APPLICATIONS

HOUTEN WIND FARM WIND RESOURCE ASSESSMENT

Measurement of rotor centre flow direction and turbulence in wind farm environment

Wind Farm Blockage: Searching for Suitable Validation Data

Introduction EU-Norsewind

LES* IS MORE! * L ARGE E DDY S IMULATIONS BY VORTEX. WindEnergy Hamburg 2016

Lifting satellite winds from 10 m to hub-height

Computationally Efficient Determination of Long Term Extreme Out-of-Plane Loads for Offshore Turbines

Havsnäs Pilot Project

High Resolution Sea Surface Roughness and Wind Speed with Space Lidar (CALIPSO)

Kodiak, Alaska Site 1 Wind Resource Report for Kodiak Electric Association

REMOTE SENSING APPLICATION in WIND ENERGY

Why does T7 underperform? Individual turbine performance relative to preconstruction estimates.

Offshore vertical wind shear: Final report on NORSEWInD s work task 3.1

EWEA Noise Wind Turbine Noise Workshop

Transcription:

On- and Offshore Assessment of the ZephIR Wind-LiDAR Detlef Kindler Kaiser-Wilhelm-Koog GmbH Andy Oldroyd Oldbaum Services Ltd. IEA R&D Task 11, Wind Energy 51 st Topical Expert Meeting on Remote Sensing RISØJanurary 2007 Title Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 1

Motivation of test programm, acceptance criteria Onshore campaign at 5M site, Brunsbüttel Offshore campaign on FINO-1: Summary of assessment campaign o o o o WS turbulence Met. conditions: precipitation and visibility WS profiles Twin experiment Further objectives - technical experiences - offshore challanges - future applications Outline Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 2

Remote Sensing (LiDAR) chosen as the primary wind resource monitoring method for the DOWNVinD / Beatrice Windfarm Demonstrator Project 5M Offshore Assessment of the capabilities of the the system in terms of availability and data quality Suitability for offshore challanges as of an installation on Beatrice Motivation Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 3

Acceptance criteria for the ZephIR being used as the primary wind monitioring method on the Beatrice Alpha platform: Availability Data quality > 95 % (system & data) relative to cups linear regressions through origin Y = mx + b (i.e.with b==0) 0.97 < m < 1 R 2 > 97% Acceptance Criteria Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 4

Thies first class Sonic Risoe 120 m 4.0 m Windrichtung (Thies) Temperatur (Thies) Luftdruck (Thies) 90 m 70 m Thies first class 60 m Thies first class sonic Thies first class Niederschlag Temperatur (Thies) 3 Month campaign Straight forward setup procedures Good data access Onshore Test Site Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 5

Overall System Availability: 99.6 % Overall Data Availability (10-Min.-Av.): 95.2 % Availability Onshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 6

120m Slope: m = 0.95 90m Slope: m = 0.97 Regr. coefficient: R 2 = 0.96 Regr. coefficient: R 2 = 0.97 WS Regressions Onshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 7

Onshore results Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 8

Cup / LiDAR Sector Wise Comparison 120m Slope R 2 WS Regressions Onshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 9

No Correction 90 m AGL Cloud Correction Applied Slope: m = 1.03 Slope: m = 0.97 Regr. coefficient: R 2 = 0.93 Regr. coefficient: R 2 = 0.96 Cloud correction check Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 10

103 m North Sea, 45 km North of Island Borkum (D) Platform height: 20 m 81 m 61 m Mast top height: 103 m Annual mean wind speed on 100m app. 10 m/s Prevailing wind dir. SW ZephIR 5 Month campaign March to July 2006 3 Comparison levels cups, vanes, sonics FINO-1 Offshore Test Site Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 11

Overall System Availability: 100.0 % Overall Data Availability (10-Min.-Av.): 99.6 % Availability Offshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 12

Height: 103 (78) m WS range: 2 to 20 m/s Slope: m = 0.99 b = 1.48 Regr. coefficient: Wind Vane R 2 = 0.98 Wind Direction Comparison Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 13

Height: 103 (78) m WS range: 2 to 23 m/s Slope: m = 0.97 Regr. coefficient: R 2 = 0.99 WS Comparison Offshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 14

WS Weibull Distribution Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 15

81 (56) m 61 (36) m Slope: m = 0.97 Slope: m = 0.98 Regr. coefficient: R 2 = 0.99 Regr. coefficient: R 2 = 1.00 WS Regressions Offshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 16

Offshore results Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 17

The QinetiQ ZephIR system has been subject to a stringent test campaign to test the quality of data output; The system has performed well onshore despite the complexity of the terrain surrounding the test site and passed acceptance; System has been tested offshore in similar conditions to the final deployment location on Beatrice, results offshore show better correlation than that returned onshore; Most promissing results are WS deviation from Cups < 3% Availibility close to 100% (NO weather dependence seen) good handling, easy to install System has passed acceptance onshore and offshore; ZephIR has returned quality results in both on- and offshore environments indicating its potential for deployment in the wind industry in both on- and offshore environments. Summary of Assessment Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 18

103m Slope: m = 1.01 61m Slope: m = 0.99 Regr. coefficient: R 2 = 0.83 Regr. coefficient: R 2 = 0.89 Turbulence Offshore (%) Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 19

Turbulence Offshore (%) Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 20

Turbulence Onshore (%) Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 21

Quality (PiF) vs. Visibility Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 22

Quality (PiF) vs. Visibility Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 23

No precipitation influence Precipitation Offshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 24

No significant precipitation influence Precipitation Onshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 25

Profiles Offshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 26

WS Shear Offshore (%) Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 27

Twin Experiment Device to Device Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 28

Device to Device Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 29

Technical Experiences handling, general setup on site theft pre-cautions data retrieval wind data acquisition turbulence measures Technical Experiences Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 30

Challenges Offshore accessibility structural stability weather during erection proximity to mast / available space power supply screen clearance, salt & spray debris from birds corrosion: joints and aluminium parts remote control & data retrieval Challenges Offshore Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 31

Acceptance and Standardized Application perform a number of real applications to increase experiences and knowledge of the system share experiences within the user community - scientific - best practice application create reproducible calibration procedures - focal length - absolute wind speed accuracy assure device to device reproducibility test site and position independent behaviour of system test each device individually against same standard prior to (and after?) actual deployment Acceptance Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 32

Applications & Options wind resource studies power performance tests profiles over rotor plane site assessments Turbulence WS WD shear Max. WS gust forecasting wind turbine wake studies Applications & Options Kaiser-Wilhelm-Koog GmbH IEA T.E.M. RISØ Jan 2007 Slide No. 33