Shorter wind measurement campaigns Re-thinking with LiDAR
|
|
- Clemence Kelley
- 5 years ago
- Views:
Transcription
1 Shorter wind measurement campaigns Re-thinking with LiDAR 31/05/2013 Ecofys Lidewij van den Brink, Anthony Crockford, Hector Villanueva, Jean Grassin
2 Introducing Ecofys > Consultancy, 30 year experience in Wind Energy > Operating a wind turbine test site in Lelystad > Operating 6 LiDARs (4 ZephIRs, 2 Windcubes) > Looking for clever/efficient way of using our LiDARs
3 Standard campaign for yield prediction. Why? > 12 month wind measurement campaign > Extended to long-term using MCP to a long-term reference > Shorter measurement campaign yield poor results (even after MCP)
4 Standard campaign for yield prediction. Why? > MCP Shorter method measurement is a statistical campaign method. yield Does poor to results account (even for physical after MCP) reality > Significant seasonal variation of a number of physical characteristics o o o Stability Wind farm surrounding Weather patterns Monthly wind speed variations 6 measurement heights
5 How can we go for shorter measurement campaigns Without decreasing the resulting WS accuracy!!
6 How can we go for shorter measurement campaigns Without decreasing the resulting WS accuracy!! > Method 1: Seasonally sampled wind measurement campaign > Method 2: implementing stability correction during MCP
7 Method 1 Seasonally Sampled Wind measurement campaign
8 Seasonally sampled wind measurement campaign Site 1 Site 1 Site 1 Site 1 12 months Site 2 Site 2 Site 2 Site 2 > Pros: all seasons covered, 2 sites assessed with one machine in one year > Cons: More deployment effort / costs > Testing the accuracy at Dutch site (simple terrain)
9 Pushing the concept further > Carrying out four 4x3 weeks measurement across the year > Future work: Optimize approach (4 x 4 weeks 3 sites, 4x3 weeks) > Future work: verify in different climate
10 Method 2 Implementing stability correction in the MCP method
11 Implementing a stability correction in MCP method > Extrapolate the long-term reference wind speed to hub height > Include correction for stability in extrapolation At LT measurement location At short-term measurement location Target height MCP
12 Implementing a stability correction in MCP method > Extrapolate the long-term reference wind speed to hub height > Include correction for stability in extrapolation At LT measurement location Target height > 2 Layer model (Holtslag) > Stability correction based on A. P. van Ulden and A. A. M. Holtslag (1985) > Inputs required Air temperature Humidity Global radiation Cloud cover Air pressure
13 Testing the stability correction > Cabauw Met Mast, 213 m tall, operated since 1973 > Use MCP (Matrix) to hindcast wind at 140m over period based on measurement in 2012 > Comparison of MCP results using 4 different reference time-series KNMI Meteorological station (10m height) Re-analysis data MERRA (50m height) KNMI incl. stability correction MERRA incl stability correction > MCP based on 1 year to reproduce 10 y > MCP based on 3 months (winter) > MCP based on 3 months (summer)
14 Testing the stability correction > Comparison between measured and modeled 10y time series > Focus on physical characteristics of wind time series modeled Seasonal variation of wind speed Diurnal variations Correlation of time series Weibull parameters Resulting AEP using assumed WTG
15 MCP based on 10m meteo station records No stability correction Seasonal variations > Seasonal variation of wind speed (at 140m) > Measured pattern (red) vs modeled pattern (green) MCP based on full year 2012 MCP based on winter 2012 MCP based on summer 2012
16 MCP based on 10m meteo station records With stability correction Seasonal variations > Seasonal variations of wind speed (at 140m) > Measured (red); 10m without stability correction (green) and 10m with stability correction (purple) MCP based on full year 2012 MCP based on winter 2012 MCP based on summer 2012
17 MCP -10m measurement With or without stability correction - Diurnal pattern > Diurnal variations of wind speed (at 140m) > Measured (red); 10m without stability correction (green) and 10m with stability correction (purple) MCP based on full year 2012 MCP based on winter 2012 MCP based on summer 2012
18 MCP based on MERRA 50m measurement with or without correction for stability seasonal pattern > Seasonal variations of wind speed (at 140m) > Measured (red); 50m without stability correction (blue) and 10m with stability correction (Grey) MCP based on full year 2012 MCP based on winter 2012 MCP based on summer 2012
19 MCP based on MERRA 50m measurement with or without correction for stability Diurnal pattern > Diurnal variations of wind speed (at 140m) > Measured (red); 50m without stability correction (blue) and 10m with stability correction (Grey) MCP based on full year 2012 MCP based on winter 2012 MCP based on summer 2012
20 Comparison of results 140m whole 2012 Measured 10m 10m corrected MERRA MERRA Corrected Correlation Wind Speed Weibul k Delta AEP % -1.9% -2.4% -3.8%
21 Comparison of results 140m whole 2012 Measured 10m 10m corrected MERRA MERRA Corrected Correlation Wind Speed Weibul k Delta AEP % -1.9% -2.4% -3.8% Delta AEP Base summer 2012 Delta AEP Base winter % -4.00% -7.90% -6.10% 10.4% -16.7% 1.4% -5.3%
22 So shorter measurement campaign with stability correction? Consecutive measurements Consecutive measurements with Stability correction in MCP 12 months 6 months 3 months Measurement length
23 Conclusion 1. Seasonally sampled wind measurement is promising and cost effective 2. Stability correction will be necessary as we go for larger WTG 3. Simple stability model improves significantly the physical behavior of the modeled time series 4. But significant modeling effort still required Implement new solutions? Meso-scale model
24 Additional information > Question me now > Further details: Lidewij van den Brink +31(0) Jean Grassin +31(0)
Hollandse Kust (zuid) Wind resource assessment. 17 January 2017 Anthony Crockford
Hollandse Kust (zuid) Wind resource assessment 17 January 2017 Overview > Introduction > Wind measurements > Mesoscale model > Calculation of wind climate > Comparisons > Conclusions 2 ECOFYS WTTS 17/01/2017
More informationIncreased Project Bankability : Thailand's First Ground-Based LiDAR Wind Measurement Campaign
Increased Project Bankability : Thailand's First Ground-Based LiDAR Wind Measurement Campaign Authors: Velmurugan. k, Durga Bhavani, Ram kumar. B, Karim Fahssis As wind turbines size continue to grow with
More informationPredicting climate conditions for turbine performance
Predicting climate conditions for turbine performance Mark Žagar, Vinay Belathur Krishna, Alvaro Matesanz Gil Vestas Data Engineering & Analytics / Advanced Plant Modelling Resource assessment, power curve,
More informationStrategic Advice about Floating LiDAR Campaigns. Borssele offshore wind farm
Strategic Advice about Floating LiDAR Campaigns Borssele offshore wind farm Strategic Advice about Floating LiDAR Campaigns Borssele offshore wind farm Project number: ESMWT16419 Prepared: Dhruv Dhirendra
More informationMEMO CC: Summary. ESMWT16419: _MEM_RVO_HKZ floating LiDAR uncertainty_v3.docx 1/8
MEMO Prepared: Anthony Crockford 23.02.2016 Reviewed: Erik Holtslag 24.02.2016 Approved: Michiel Müller 29.02.2016 Filename 20160224_MEM_RVO_HKZ floating LiDAR uncertainty_v3.docx Pages 8 Version Author
More informationCriteria for wind farm noise: Lmax and Lden
Criteria for wind farm noise: Lmax and Lden F. Van Den Berg University of Groningen - Science & Society Group, Nijenborgh 4, 9747AG Groningen, Netherlands fvdberg@ggd.amsterdam.nl 4043 Wind turbine noise
More informationValidation of Measurements from a ZephIR Lidar
Validation of Measurements from a ZephIR Lidar Peter Argyle, Simon Watson CREST, Loughborough University, Loughborough, United Kingdom p.argyle@lboro.ac.uk INTRODUCTION Wind farm construction projects
More informationFull Classification acc. to IEC for SoDAR AQ510 Wind Finder. Vincent Camier, Managing Director, Ammonit Measurement GmbH
Full Classification acc. to IEC 61400-12-1 for SoDAR AQ510 Wind Finder Vincent Camier, Managing Director, Ammonit Measurement GmbH Ammonit Company Profile German company, based in Berlin +25 years of know-how
More informationExecutive Summary of Accuracy for WINDCUBE 200S
Executive Summary of Accuracy for WINDCUBE 200S The potential of offshore wind energy has gained significant interest due to consistent and strong winds, resulting in very high capacity factors compared
More informationAssessment and Testing of Island Wind Resources without Masts
22 nd of June 2015 Assessment and Testing of Island Wind Resources without Masts ISLAND ENERGY TRANSITIONS: PATHWAYS FOR ACCELERATED UPTAKE OF RENEWABLES Martinique, June 22-24, 2015 Contents 1. The problem
More informationTorrild - WindSIM Case study
Torrild - WindSIM Case study Note: This study differs from the other case studies in format, while here another model; WindSIM is tested as alternative to the WAsP model. Therefore this case should be
More informationLES* IS MORE! * L ARGE E DDY S IMULATIONS BY VORTEX. WindEnergy Hamburg 2016
LES* IS MORE! * L ARGE E DDY S IMULATIONS BY VORTEX WindEnergy Hamburg 2016 OUTLINE MOTIVATION Pep Moreno. CEO, BASIS Alex Montornés. Modelling Specialist, VALIDATION Mark Žagar. Modelling Specialist,
More informationOn- and Offshore Assessment of the ZephIR Wind-LiDAR
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
More informationHOUTEN WIND FARM WIND RESOURCE ASSESSMENT
CIRCE CIRCE Building Campus Río Ebro University de Zaragoza Mariano Esquillor Gómez, 15 50018 Zaragoza Tel.: 976 761 863 Fax: 976 732 078 www.fcirce.es HOUTEN WIND FARM WIND RESOURCE ASSESSMENT CIRCE AIRE
More informationCORRELATION EFFECTS IN THE FIELD CLASSIFICATION OF GROUND BASED REMOTE WIND SENSORS
CORRELATION EFFECTS IN THE FIELD CLASSIFICATION OF GROUND BASED REMOTE WIND SENSORS Will Barker (1), Julia Gottschall (2), Michael Harris (3), John Medley (4), Edward Burin des Roziers (5), Chris Slinger
More informationBankable Wind Resource Assessment
Bankable Wind Resource Assessment Bankable Wind Resource Assessment 1.800.580.3765 WWW.TTECI.COM Pramod Jain, Ph.D. Presented to: DFCC Bank and RERED Consortia Members January 25 27, 2011 Colombo, Sri
More informationModelling atmospheric stability with CFD: The importance of tall profiles
ENERGY Modelling atmospheric stability with CFD: The importance of tall profiles VindKraftNet Seminar on Profiles Jean-François Corbett, Global Head of CFD Service 1 SAFER, SMARTER, GREENER DNV GL CFD
More informationJuly Interim Report. National Institute of Wind Energy (NIWE) Wind Resource Assessment & Offshore Unit Chennai, India.
Interim Report (First Offshore Lidar wind data analysis) July 2018 Prepared by National Institute of Wind Energy (NIWE) Wind Resource Assessment & Offshore Unit Chennai, India. W I N D R E S O U R C E
More informationPARK - Main Result Calculation: PARK calculation (5 x 166m, + LT CORR + MITIGATION) N.O. Jensen (RISØ/EMD)
PRK - Main Result Calculation: PRK calculation (5 x V15 @ 166m, + LT CORR + MITIGTION) Wake Model N.O. Jensen (RISØ/EMD) Calculation Settings ir density calculation mode Result for WTG at hub altitude
More informationWind Flow Modeling Software Comparison
Wind Flow Modeling Software Comparison John Vanden Bosche AWEA Wind Resource Assessment Workshop Minneapolis, MN September 30, 2009 Issues With Wind Flow Modeling Impractical to measure the wind at the
More informationWIND INDUSTRY APPLICATIONS
zephirlidar.com sales@zephirlidar.com WIND INDUSTRY APPLICATIONS 2017 Zephir Ltd. All rights reserved. ZephIR, Zephir, ZephIR 300, ZephIR 300M ZephIR DM, ZephIR Care, ZephIR Direct, ZephIR Power and Waltz
More informationWind Data Verification Report Arriga 50m
Page 1 of 11 Site Name Site Details 9531 - Arriga 5m Arriga 5m Date/Time of report generation 27/11/212 4:22 PM Site Number 9531 Mast Height 5m Mast Location 32568 E 811256 N Coordinate System UTM 55K
More informationWind farm performance
Wind farm performance Ali Marjan Wind Energy Submission date: June 2016 Supervisor: Lars Sætran, EPT Norwegian University of Science and Technology Department of Energy and Process Engineering Wind
More informationInvestigation on Deep-Array Wake Losses Under Stable Atmospheric Conditions
Investigation on Deep-Array Wake Losses Under Stable Atmospheric Conditions Yavor Hristov, Mark Zagar, Seonghyeon Hahn, Gregory Oxley Plant Siting and Forecasting Vestas Wind Systems A/S Introduction Introduction
More informationWind Turbine Noise Measurements How are Results influenced by different Methods of deriving Wind Speeds? Sylvia Broneske
INTERNOISE 2014 16 19 November in Melbourne, Australia Wind Turbine Noise Measurements How are Results influenced by different Methods of deriving Wind Speeds? Sylvia Broneske Hayes McKenzie Partnership
More informationResults and conclusions of a floating Lidar offshore test
Results and conclusions of a floating Lidar offshore test J. Gottschall, G. Wolken-Möhlmann, Th. Viergutz, B. Lange [Fraunhofer IWES Wind Lidar Buoy next to FINO1 met. mast] EERA DeepWind'2014 Conference,
More informationWind Resource Assessment Østerild National Test Centre for Large Wind Turbines
Downloaded from orbit.dtu.dk on: Jan 21, 2018 Wind Resource Assessment Østerild National Test Centre for Large Wind Turbines Hansen, Brian Ohrbeck; Courtney, Michael; Mortensen, Niels Gylling Publication
More informationOFFSHORE CREDENTIALS. Accepted for wind resource assessment onshore and offshore by leading Banks Engineers, globally
OFFSHORE CREDENTIALS Accepted for wind resource assessment onshore and offshore by leading Banks Engineers, globally ZEPHIR OFFSHORE CREDENTIALS Accepted for wind resource assessment onshore and offshore
More informationMULTI-WTG PERFORMANCE OFFSHORE, USING A SINGLE SCANNING DOPPLER LIDAR
MULTI-WTG PERFORMANCE OFFSHORE, USING A SINGLE SCANNING DOPPLER LIDAR Rémi Gandoin 1, Benny Svardal 2, Valerie Kumer 3, Raghavendra Krishna Murthy 4, Matthieu Boquet 4 1 DONG Energy Wind Power (DK) remga@dongenergy.dk
More informationRotor Average wind speed for power curve performance. Ioannis Antoniou (LAC), Jochen Cleve (LAC), Apostolos Piperas (LAC)
Rotor Average wind speed for power curve performance Ioannis Antoniou (LAC), Jochen Cleve (LAC), Apostolos Piperas (LAC) March 2, 23 Contents Rotor Average wind speed EU flat terrain wind profiles vs.
More informationSite Assessment Report. Wind farm: Ascog Farm (GB)
Site Assessment Report Energy Yield Estimation Wind farm: (GB) 3 x E- kw with 5m hh Imprint Publisher Copyright notice ENERCON GmbH 5 Aurich Germany Phone: +9 91 97- Fax: +9 91 97-19 E-mail: info@enercon.de
More informationThe Wind Resource: Prospecting for Good Sites
The Wind Resource: Prospecting for Good Sites Bruce Bailey, President AWS Truewind, LLC 255 Fuller Road Albany, NY 12203 bbailey@awstruewind.com Talk Topics Causes of Wind Resource Impacts on Project Viability
More informationWIND RESOURCE ASSESSMENT FOR THE STATE OF WYOMING
WIND RESOURCE ASSESSMENT FOR THE STATE OF WYOMING Performed by Sriganesh Ananthanarayanan under the guidance of Dr. Jonathan Naughton, Professor, Department of Mechanical Engineering University of Wyoming,
More informationOn the use of rotor equivalent wind speed to improve CFD wind resource mapping. Yavor V. Hristov, PhD Plant Performance and Modeling Vestas TSS
On the use of rotor equivalent wind speed to improve CFD wind resource mapping Yavor V. Hristov, PhD Plant Performance and Modeling Vestas TSS Firestorm- Number 53 on Top500 list from June 2011 14664 processors
More informationA Comparison of the UK Offshore Wind Resource from the Marine Data Exchange. P. Argyle, S. J. Watson CREST, Loughborough University, UK
A Comparison of the UK Offshore Wind Resource from the Marine Data Exchange P. Argyle, S. J. Watson CREST, Loughborough University, UK Introduction Offshore wind measurements are scarce and expensive,
More informationrenewable energy projects by renewable energy people
renewable energy projects by renewable energy people Our Services Full lifecycle services across renewable energy sectors 2 Time variant energy yield analysis A case study Presenter: Daniel Marmander Date:
More informationSite Summary. Wind Resource Summary. Wind Resource Assessment For King Cove Date Last Modified: 8/6/2013 By: Rich Stromberg & Holly Ganser
Site Summary Wind Resource Assessment For King Cove Date Last Modified: 8/6/2013 By: Rich Stromberg & Holly Ganser Station ID: 2857 Latitude: 55 7 45.8 N Longitude: 162 16 10.6 W Tower Type: 30 m NRG Tall
More informationReference wind speed anomaly over the Dutch part of the North Sea
Reference wind speed anomaly over the Dutch part of the North Sea A.J. Brand This report has been presented at the European Offshore Wind 2009 Conference, Stockholm, 4-6 September, 2009 ECN-M--09-28 2
More informationcan the wind industry bank on wind lidar? November 2014
can the wind industry bank on wind lidar? November 2014 introduction 01 02 03 04 05 06 07 08 09 10 introduction why improve wind measurements? guidelines for accurate annual energy predictions traceability
More informationWind LiDAR measurement campaign at CESAR Observatory in Cabauw: preliminary results
Wind LiDAR measurement campaign at CESAR Observatory in Cabauw: preliminary results Steven Knoop, Willem Koetse, and Fred Bosveld Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE
More informationWind Farm Power Performance Test, in the scope of the IEC
Wind Farm Power Performance Test, in the scope of the IEC 61400-12.3 Helder Carvalho 1 (helder.carvalho@megajoule.pt) Miguel Gaião 2 (miguel.gaiao@edp.pt) Ricardo Guedes 1 (ricardo.guedes@megajoule.pt)
More informationPROJECT CYCLOPS: THE WAY FORWARD IN POWER CURVE MEASUREMENTS?
Title Authors: Organisation PROJECT CYCLOPS: THE WAY FORWARD IN POWER CURVE MEASUREMENTS? Simon Feeney(1), Alan Derrick(1), Alastair Oram(1), Iain Campbell(1), Gail Hutton(1), Greg Powles(1), Chris Slinger(2),
More informationWindPRO version Nov 2012 Project:
23/11/2012 15:21 / 1 WAsP interface - Main Result Calculation: WAsP Interface example Name for WAsP Site coordinates UTM NAD27 Zone: 14 East: 451,101 North: 5,110,347 Air density calculation mode Result
More informationHavsnäs Pilot Project
Havsnäs Pilot Project ALAN DERRICK SENIOR TECHNICAL MANAGER Project financed by: Swedish Energy Agency Pilot Grant Winterwind, Östersund February 2013 1 Havsnäs Site Location 2 The Havsnäs Project 110
More informationAvailable online at ScienceDirect. Energy Procedia 53 (2014 )
Available online at www.sciencedirect.com ScienceDirect Energy Procedia 53 (2014 ) 156 161 EERA DeepWind 2014, 11th Deep Sea Offshore Wind R&D Conference Results and conclusions of a floating-lidar offshore
More informationWhy does T7 underperform? Individual turbine performance relative to preconstruction estimates.
Why does T7 underperform? Individual turbine performance relative to preconstruction estimates. P. Stuart, N. Atkinson, A. Clerc, A. Ely, M. Smith, J. Cronin, M. Zhu & T Young. EWEA Technology Workshop
More informationComputational Fluid Dynamics
Computational Fluid Dynamics A better understanding of wind conditions across the whole turbine rotor INTRODUCTION If you are involved in onshore wind you have probably come across the term CFD before
More informationInter-annual wind speed variability on the North Sea
Inter-annual wind speed variability on the North Sea R.J. Ronda, I.L. Wijnant and A. Stepek (KNMI) Introduction In 2016 a study was published by Garrad Hassan and Partners Ltd (DNV GL) on the inter-annual
More informationWind measurements that reduce electricity prices
Wind measurements that reduce electricity prices Extensive testing in three countries has proven that laser measurements of wind provide precise, reliable wind data. The research findings will make it
More informationAdvanced pre and post-processing in Windsim
University of Perugia Department of Industrial Engineering Francesco Castellani Advanced pre and post-processing in Windsim CONTENTS Pre-processing 1) Domain control: *.gws construction 2) Advanced grid
More informationAtmospheric Stability Affects Wind Turbine Performance and Wake Effect
Atmospheric Stability Affects Wind Turbine Performance and Wake Effect Hong Liu, John Liu*, Gus DiMaria and Jon Fournier CanWEA Annual Conference and Exhibition, October 23-25, 2018, Calgary, AB *York
More informationWind Regimes 1. 1 Wind Regimes
Wind Regimes 1 1 Wind Regimes The proper design of a wind turbine for a site requires an accurate characterization of the wind at the site where it will operate. This requires an understanding of the sources
More informationWindProspector TM Lockheed Martin Corporation
WindProspector TM www.lockheedmartin.com/windprospector 2013 Lockheed Martin Corporation WindProspector Unparalleled Wind Resource Assessment Industry Challenge Wind resource assessment meteorologists
More informationInuvik Wind Monitoring Update 2016
Inuvik Wind Monitoring Update 2016 Source: MACA Prepared for By Jean Paul Pinard, P. Eng., PhD. 703 Wheeler St., Whitehorse, Yukon Y1A 2P6 Tel. (867) 336 2977; Email jpp@northwestel.net March 31, 2016
More informationWIND ENERGY REPORT GERMANY 2013
FRAUNHOFER INSTITUTE FOR WIND ENERGY AND SYSTEM TECHNOLOGY IWES WIND ENERGY REPORT GERMANY 2013 FRAUNHOFER VERLAG Publisher: Dr. Kurt Rohrig Fraunhofer Institute for Wind Energy and Energy System Technology
More informationPreliminary assessment of the variability of UK offshore wind speed as a function of distance to the coast
Journal of Physics: Conference Series PAPER OPEN ACCESS Preliminary assessment of the variability of UK offshore wind speed as a function of distance to the coast To cite this article: Rolando Soler-Bientz
More informationWIND CONDITIONS MODELING FOR SMALL WIND TURBINES
U.P.B. Sci. Bull., Series C, Vol. 77, Iss. 2, 2015 ISSN 2286-3540 WIND CONDITIONS MODELING FOR SMALL WIND TURBINES Viorel URSU 1, Sandor BARTHA 2 Wind energy systems are a solution which became cost effective
More informationDeep Sea Offshore Wind Power R&D Seminar Trondheim, Jan. 2011
Deep Sea Offshore Wind Power R&D Seminar Trondheim, 20-21 Jan. 2011 Atmospheric Profiling by Lidar for Wind Energy Research Torben Mikkelsen Wind Energy Division Risø National Laboratory for Sustainable
More informationWind Project Siting & Resource Assessment
Wind Project Siting & Resource Assessment David DeLuca, Project Manager AWS Truewind, LLC 463 New Karner Road Albany, NY 12205 ddeluca@awstruewind.com www.awstruewind.com AWS Truewind - Overview Industry
More informationWind Farm Blockage: Searching for Suitable Validation Data
ENERGY Wind Farm Blockage: Searching for Suitable Validation Data James Bleeg, Mark Purcell, Renzo Ruisi, and Elizabeth Traiger 09 April 2018 1 DNV GL 2014 09 April 2018 SAFER, SMARTER, GREENER Wind turbine
More informationConditions for Offshore Wind Energy Use
Carl von Ossietzky Universität Oldenburg Institute of Physics Energy Meteorology Group Detlev Heinemann Conditions for Offshore Wind Energy Use Detlev Heinemann ForWind Carl von Ossietzky Universität Oldenburg
More informationWind shear coefficients and energy yield for Dhahran, Saudi Arabia
Renewable Energy 32 (2007) 738 749 www.elsevier.com/locate/renene Wind shear coefficients and energy yield for Dhahran, Saudi Arabia Shafiqur Rehman a,, Naif M. Al-Abbadi b a Center for Engineering Research,
More informationRemote sensing standards: their current status and significance for offshore projects
Remote sensing standards: their current status and significance for offshore projects Peter J M Clive Technical Development Consultant SgurrEnergy Ltd 225 Bath Street Glasgow G2 4GZ E: peter.clive@sgurrenergy.com
More informationBackground noise maps
Background noise maps WHY IT IS CONVENIENT TO CREATE BACKGROUND NOISE MAPS DURING PLANNING PHASE THROUGH CFD WIND MODELS Ing. Andrea Bartolazzi Ing. Simone Marletti Ing. Beatrice Pistoni Windsim User Meeting
More informationNORCOWE met-ocean measurement campaigns
NORCOWE met-ocean measurement campaigns Kumer V.-M., Reuder J., Furevik B.,, Båserud L., Svardal B., Sæter C., Flügge M., Bakhoday Paskyabi M., Eecen P. University of Bergen, Norway, CMR, Norway, Meteorological
More informationWind Power. Kevin Clifford METR 112 April 19, 2011
Wind Power Kevin Clifford METR 112 April 19, 2011 Outline Introduction Wind Turbines Determining Wind Power Output The Price of Wind Power Wind Power Availability across the World and US California Wind
More informationCarbon Trust Offshore Wind Accelerator. OWA floating LiDAR campaign: Babcock trial at Gwynt Y Môr Copenhagen, 11 March 2015 Megan Smith
Carbon Trust Offshore Wind Accelerator OWA floating LiDAR campaign: Babcock trial at Gwynt Y Môr Copenhagen, 11 March 2015 Megan Smith 1 Trial Overview Using RWE s Gwynt y Mor mast in the Irish Sea MeasNet-calibrated
More informationFINO1 Mast Correction
FINO1 Mast Correction A. Westerhellweg, T. Neunn; DEWI GmbH, Wilhelmshaven V. Riedel; DEWI North America Inc. A. Westerhellweg English Abstract Lateral speed-up effects, upwind flow retardation and downwind
More informationFIVE YEARS OF OPERATION OF THE FIRST OFFSHORE WIND RESEARCH PLATFORM IN THE GERMAN BIGHT FINO1
FIVE YEARS OF OPERATION OF THE FIRST OFFSHORE WIND RESEARCH PLATFORM IN THE GERMAN BIGHT FINO1 Andreas Beeken, DEWI GmbH, Ebertstraße 96, D-26382 Wilhelmshaven Thomas Neumann, DEWI GmbH, Ebertstraße 96,
More informationDUTCH OFFSHORE WIND ATLAS
DUTCH OFFSHORE WIND ATLAS WindDays, Rotterdam, 14 June 2018 Dr. J.W. Wagenaar (ECN part of TNO) Ir. P.A. van Dorp (Whiffle) CONTENT Background & Objectives Approach Results so far Take away messages 2
More informationMeteorological Measurements OWEZ
Meteorological Measurements OWEZ Half year report - 01-07-2008-31-12-2008 H. Korterink P.J. Eecen J.W. Wagenaar ECN-E--09-018 OWEZ_R_121_20080701-20081231_WIND_RESOURCE_2008_2 Abstract NoordzeeWind carries
More informationMeteorological Measurements OWEZ
Meteorological Measurements OWEZ Half year report 01-01-2008-30-06-2008 H. Korterink P.J. Eecen ECN-E--08-062 OWEZ_R_121_20080101-20080630_wind_resource_2008_1 Abstract NoordzeeWind carries out an extensive
More informationCan Lidars Measure Turbulence? Comparison Between ZephIR 300 and an IEC Compliant Anemometer Mast
Can Lidars Measure Turbulence? Comparison Between ZephIR 300 and an IEC Compliant Anemometer Mast W. Barker (1), M. Pitter (2), E. Burin des Roziers (3), M. Harris (4), R. Scullion (5) (1) Natural Power
More informationEnergy from wind and water extracted by Horizontal Axis Turbine
Energy from wind and water extracted by Horizontal Axis Turbine Wind turbines in complex terrain (NREL) Instream MHK turbines in complex bathymetry (VP East channel NewYork) Common features? 1) horizontal
More informationWind resource and site assessment
CHAPTER 2 Wind resource and site assessment Wiebke Langreder Wind & Site, Suzlon Energy, Århus, Denmark. Wind farm projects require intensive work prior to the finalizing of a project. The wind resource
More informationValerijs Bezrukovs, Vladislavs Bezrukovs Ventspils University College Latvia. WREF2012 Denver, CO May 13-17, 2012
Valerijs Bezrukovs, Vladislavs Bezrukovs Ventspils University College Latvia WREF2012 Denver, CO May 13-17, 2012 Baltic countries 2 Currently rise of WPP development in Baltic countries. Attractive for
More informationWind Resource Assessment for CHEFORNAK, ALASKA
813 W. Northern Lights Blvd. Anchorage, AK 99503 Phone: 907-269-3000 Fax: 907-269-3044 www.akenergyauthority.org Wind Resource Assessment for CHEFORNAK, ALASKA Date last modified: 3/15/2006 Compiled by:
More information10 th WindSim User Meeting June 2015, Tønsberg
10 th WindSim User Meeting 24-25 June 2015, Tønsberg Best Practice PRESENTED BY: Di Li 1 of 3 Content 1. Objective: Bankable AEP Site Suitability 2. Management: Balance on accuracy, timeline and resource
More informationStefan Emeis
The Physics of Wind Park Optimization Stefan Emeis stefan.emeis@kit.edu INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH, Photo: Vattenfall/C. Steiness KIT University of the State of Baden-Wuerttemberg and
More informationInvestigation of Vertical Wind Shear Characteristics Using 50m Meteorological Tower Data
Journal of the Earth and Space Physics, Vol. 43, No. 4, Winter 2018, P. 47-53 Investigation of Vertical Wind Shear Characteristics Using 50m Meteorological Tower Data Sardar Maran, P. * Assistant Professor,
More informationLopez Community Land Trust. Final Wind Energy Report
Lopez Community Land Trust Final Wind Energy Report July 20th, 2007 Prepared by: Terrance Meyer P.E. Rose Woofenden 1 Table of Contents 1.0 INTRODUCTION 4 FIGURE 1.1 VESTAS TURBINE AT HULL, MA PROJECT
More informationCorrelation analysis between UK onshore and offshore wind speeds
Loughborough University Institutional Repository Correlation analysis between UK onshore and offshore wind speeds This item was submitted to Loughborough University's Institutional Repository by the/an
More informationSupplement of Wind turbine power production and annual energy production depend on atmospheric stability and turbulence
Supplement of Wind Energ. Sci., 1, 221 236, 2016 http://www.wind-energ-sci.net/1/221/2016/ doi:10.5194/wes-1-221-2016-supplement Author(s) 2016. CC Attribution 3.0 License. Supplement of Wind turbine power
More informationTESTING AND CALIBRATION OF VARIOUS LiDAR REMOTE SENSING DEVICES FOR A 2 YEAR OFFSHORE WIND MEASUREMENT CAMPAIGN
TESTING AND CALIBRATION OF VARIOUS LiDAR REMOTE SENSING DEVICES FOR A 2 YEAR OFFSHORE WIND MEASUREMENT CAMPAIGN D Kindler 1 WINDTEST Kaiser Wilhelm Koog detlef.kindler@wtk.windtest.com 1 Corresponding
More informationWAVE CLIMATE IN DEEP AND COASTAL WATERS: NUMERICAL MODELS
WAVE CLIMATE IN DEEP AND COASTAL WATERS: NUMERICAL MODELS BENTOS Servicios y Equipos Marinos Ltda. Avda. Suecia 3005, Ñuñoa, Santiago Telephone: (56 2) 296 373 60 Fax: (56 2) 296 373 77 E-mail: info@bentos.cl
More informationNoise from wind turbines under non-standard conditions
Noise from wind turbines under non-standard conditions Lars S. Søndergaard a) DELTA Acoustics Agro Food Park 13, 8200 Aarhus N, Denmark Noise prediction for wind turbines and wind farms are often based
More informationESTIMATING WIND ENERGY POTENTIAL OFFSHORE IN MEDITERRANEAN AREAS.
ESTIMATING WIND ENERGY POTENTIAL OFFSHORE IN MEDITERRANEAN AREAS. Alfredo.Lavagnini 1, Anna M. Sempreviva 1,2, and Rebecca J. Barthelmie 2 1 Istituto di Scienze dell Atmosfera e del Clima, sezione di Roma
More informationWind Resource Assessment for NOME (ANVIL MOUNTAIN), ALASKA Date last modified: 5/22/06 Compiled by: Cliff Dolchok
813 W. Northern Lights Blvd. Anchorage, AK 99503 Phone: 907-269-3000 Fax: 907-269-3044 www.akenergyauthority.org SITE SUMMARY Wind Resource Assessment for NOME (ANVIL MOUNTAIN), ALASKA Date last modified:
More informationEnergy Output. Outline. Characterizing Wind Variability. Characterizing Wind Variability 3/7/2015. for Wind Power Management
Energy Output for Wind Power Management Spring 215 Variability in wind Distribution plotting Mean power of the wind Betz' law Power density Power curves The power coefficient Calculator guide The power
More informationUpgrading Vestas V47-660kW
Guaranteed performance gains and efficiency improvements Upgrading Vestas V47-660kW Newly developed controller system enables increased Annual Energy Production up to 6.1% and safe turbine lifetime extension
More informationWake effects at Horns Rev and their influence on energy production. Kraftværksvej 53 Frederiksborgvej 399. Ph.: Ph.
Wake effects at Horns Rev and their influence on energy production Martin Méchali (1)(*), Rebecca Barthelmie (2), Sten Frandsen (2), Leo Jensen (1), Pierre-Elouan Réthoré (2) (1) Elsam Engineering (EE)
More informationIntroduction to the Power Curve Working Group
Introduction to the Power Curve Working Group Peter Stuart Senior Technical Manager Tuesday 25 th June 1 Power Power Curve Working Group What will my wind turbine realistically produce? Power Curve Wind
More informationAspects of Using CFD for Wind Comfort Modeling Around Tall Buildings
8 th International Congress on Advances in Civil Engineering, 15-17 September 2008 Eastern Mediterranean University, Famagusta, North Cyprus Aspects of Using CFD for Wind Comfort Modeling Around Tall Buildings
More informationNanortalik A preliminary analysis of the wind measurements rev 1
Nanortalik A preliminary analysis of the wind measurements rev 1 Introduction Note pr 14.08.2009 Tove Risberg, Kjeller Vindteknikk AS A 50 m met mast has been measuring the wind speed at Nanortalik Heliport
More informationWave Transformation, Prediction, and Analysis at Kaumalapau Harbor, Lanai, Hawaii
Wave Transformation, Prediction, and Analysis at Kaumalapau Harbor, Lanai, Hawaii Jessica H. Podoski, P.E. Coastal Engineer, USACE Honolulu District Christopher Goody, P.E. Sea Engineering, Inc. Thomas
More informationYellowknife Area Wind Potential
Yellowknife Area Wind Potential Prepared for by Jean-Paul Pinard, P. Eng., PhD. 703 Wheeler St., Whitehorse, Yukon Y1A 2P6 Tel. (867) 336-2977; Email jpp@northwestel.net, and Annika Trimble (Ed.), Aurora
More informationOPERATIONAL AMV PRODUCTS DERIVED WITH METEOSAT-6 RAPID SCAN DATA. Arthur de Smet. EUMETSAT, Am Kavalleriesand 31, D Darmstadt, Germany ABSTRACT
OPERATIONAL AMV PRODUCTS DERIVED WITH METEOSAT-6 RAPID SCAN DATA Arthur de Smet EUMETSAT, Am Kavalleriesand 31, D-64295 Darmstadt, Germany ABSTRACT EUMETSAT started its Rapid Scanning Service on September
More informationThe impact of different means of transport on the operation and maintenance strategy for offshore wind farms
The impact of different means of transport on the operation and maintenance strategy for offshore wind farms W.A.A.M. Bierbooms, M Sc.; G.J.W. van Bussel, PhD * Section Wind Energy, Faculty Civil Engineering
More informationDick Bowdler Acoustic Consultant
Dick Bowdler Acoustic Consultant 01383 882 644 077 8535 2534 dick@dickbowdler.co.uk WIND SHEAR AND ITS EFFECT ON NOISE ASSESSMENT OF WIND TURBINES June 2009 The Haven, Low Causeway, Culross, Fife. KY12
More informationOPERATIONAL TEST OF SONIC WIND SENSORS AT KNMI
OPERATIONAL TEST OF SONIC WIND SENSORS AT KNMI Wiel M.F. Wauben 1 and Rob van Krimpen 2 1 R&D Information and Observation Technology, 2 Observation Systems Operations Royal Netherlands Meteorological Institute
More information