Validation n 2 of the Wind Data Generator (WDG) software performance. Comparison with measured mast data - Flat site in Northern France

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Validation n 2 of the Wind Data Generator (WDG) software performance. Comparison with measured mast data - Flat site in Northern France"

Transcription

1 Validation n 2 of the Wind Data Generator (WDG) software performance Comparison with measured mast data - Flat site in Northern France Mr. Tristan Fabre* La Compagnie du Vent, GDF-SUEZ, Montpellier, 34967, France Mr. Karim Fahssis**, Mr. Sushant Kumar, Mr. Malleswara Rao MeteoPole Renewable Energy Pvt. Ltd., Paris, 75018, France Category: Validation of correlation levels for long-term data adjustment to reduce wind resource annual variability uncertainties Key Words: WDG, Mesoscale, WRF, Correlation, MCP, GFS, ERA, MERRA, CFSR, NCEP, Validation Abstract The objective is to validate the performance of the Wind Data Generator software (WDG) by comparing simulated data from WDG (both WRF modeled and Global Reanalysis Data) against mast data measured on a flat site in Northern France.

2 Introduction Contremoulins wind farm is operated by La Compagnie du Vent, GDF-SUEZ and is on a relatively flat terrain in North France. La Compagnie du Vent, GDF-SUEZ and MeteoPole worked together on the validation of the performance of a mesoscale wind modeling software (The Wind Data Generator) by comparing the on-site measured wind data against simulated wind data. The Wind Data Generator (WDG) is a software calculating meteorological parameters based on the mesoscale model WRF. WRF is a fully compressible and non-hydrostatic model. Its vertical coordinate is a terrain-following hydrostatic pressure coordinate. The grid staggering is the Arakawa C-grid. The model uses the Runge-Kutta 2nd and 3rd order time integration schemes and 2nd to 6th order advection schemes in both horizontal and vertical directions. It uses a timesplit small step for acoustic and gravity-wave modes. The dynamics conserves scalar variables. La Compagnie du Vent develops and operates wind farms in the region. Due to the acquisition time on site, the met-mast is used to achieve long-term adjustment to the nearest hub height of future wind turbines. We can compare the quality of the correlation obtained against a correlation realized with 10 meters measurements from MétéoFrance stations and data modeled by a mesoscale model. The measurement tower is installed on the site since 14 years with data availability going up to 92.40%. Performing long-term adjustment of on-site measured wind data can be very beneficial to project owners as it enables reducing annual variability uncertainties and so it helps in building more bankable projects with higher financial returns.

3 Site Details Site Name Contremoulins Mast Location N, E Mast Elevation 111m Orography Flat Roughness Grassland and low scrubs Data Summary Figure 1 Site Satellite View Analysis period Dec 2011 May2013 Analysis period duration 18 months WDG-WRF* outputs (Spatial Resolution) GFS (5.6 km), NCEP (5.6 km), ERA (5.6 km) WDG-GDR* outputs (Temporal Resolution) MERRA (hourly), ERA-interim (6-hourly), CFSR (hourly) *WRF: Weather Research Forecast Model (automatic WRF computations with the WDG software) **GDR: Global Data Retrieval (automatic access to reanalysis data with the WDG software)

4 Selection of the WDG output Automatic WRF computations are run with the WDG software for 3 different input scenarios (GFS, NCEP and ERA data). Time series data from different reanalysis products MERRA (hourly), ERA-interim (6-hourly) and CFSR (hourly) are automatically retrieved from the Global Data Retrieval feature of the WDG. As ERA-interim has 6-hour temporal resolution, it has been decided to consider only the data sets which have hourly frequency to make the comparison with on-site measurement data consistent. After doing the quality test of resulting dataset, mean wind speed and correlation coefficient of different datasets are calculated and compared with mast data for a concurrent period of 6 months (Dec May 2012). The table below summarizes it as follows. WDG outputs WRF*-GFS WRF*-NCEP WRF*-ERA GDR**- MERRA GDR**- CFSR Correlation Coefficient (R²) with mast data for N/A concurrent period one year *WRF: Weather Research Forecast Model (automatic WRF computations with the WDG software) **GDR: Global Data Retrieval (automatic access to reanalysis data with the WDG software) The experiment output shows that GDR-MERRA is the WDG output with the highest correlation level with concurrent mast data. It is therefore decided to use this WDG output as reference data set for MCP (Measure-Correlate-Predict) process. MCP calculation is then performed to generate wind data for the next 6 months period and we validate the post-processed data with the mast observation data.

5 Comparison of Long-Term Adjusted data with Mast data After performing MCP with 6 months measurement data and One-Year WDG selected output (GDR-MERRA), a One-Year hourly data time series is generated and correlation coefficient and mean wind speed are compared with the valid data measured at mast location for the same period. It is noted that 12 months of measurement data are valid during this comparison year and the comparison is thus done for this concurrent period. Figure 2 Regression summary and correlation coefficient between mast and post-processed data

6 Figure 3 Summary of wind data comparison From figure 1 and 2, a correlation coefficient on hourly data of (R²) is observed between the two datasets. Relative error on mean wind speed for the concurrent period is 0.35%. Diurnal profile, frequency distribution, monthly wind speed and wind rose are also compared. The analysis concludes that data quality thus generated considering GDR-MERRA as reference could be considered as the best for this location for long term adjustment of on-site measured wind speeds.

7 Figure 4 Wind rose, sectorial energy and probability distribution function from WDG post-processed (left) and mast (right)

8 In figure 4, probability distribution functions from the two datasets are compared and it is observed that WDG post-processed data has managed to represent the measurement data consistently. Wind roses are also compared for wind direction and sector-wise energy yield. WDG has simulated them very well. The table below summarizes the different statistical parameters in predominant wind directions. WDG Mast Direction sector ( ) Mean wind speed (m/s) Median (m/s) Std Dev (m/s) Weibull k (-) Weibull c (m/s) Long-Term Validation Figure 5 Long term correlation To check the consistency of WDG output we further validated the data for long term. For this location we got 19 months of concurrent data. The correlation coefficient of GDR-MERRA and mast for this period is 0.75 (figure 5).

9 Conclusion By selecting the most appropriate WDG output and then using this output as reference data for MCP process, long-term adjustment process can be optimized with excellent levels of correlation and reduced relative errors on annual mean wind speed. The WDG can be used for long-term data adjustment even in complex sites and can help project owners in reducing project uncertainties by considering the long-term annual variability in the wind resource assessment process. Further improvement MeteoPole suggests considering ensemble mean of Mesoscale/Reanalysis datasets rather relying on one data output if each of them is well correlated with the observation. In this analysis, considering the ensemble mean of GDR-MERRA, GDR- CFSR, WDG-GFS and WDG-NCEP correlation coefficient with mast data for initial 6 months increases from 0.81 to Thus, generated one year post-mcp data has a correlation with mast data for the same period increased from 0.87 to 0.89.

Wind resources map of Spain at mesoscale. Methodology and validation

Wind resources map of Spain at mesoscale. Methodology and validation Wind resources map of Spain at mesoscale. Methodology and validation Martín Gastón Edurne Pascal Laura Frías Ignacio Martí Uxue Irigoyen Elena Cantero Sergio Lozano Yolanda Loureiro e-mail:mgaston@cener.com

More information

ENERGY YIELD ASSESSMENT

ENERGY YIELD ASSESSMENT Module 2.4-2 ENERGY YIELD ASSESSMENT Gerhard J. Gerdes Workshop on Renewable Energies November 14-25, 25 Nadi, Republic of the Fiji Islands Contents power curve of wind turbine and international regulations

More information

USING SIMULATED WIND DATA FROM A MESOSCALE MODEL IN MCP. M. Taylor J. Freedman K. Waight M. Brower

USING SIMULATED WIND DATA FROM A MESOSCALE MODEL IN MCP. M. Taylor J. Freedman K. Waight M. Brower USING SIMULATED WIND DATA FROM A MESOSCALE MODEL IN MCP M. Taylor J. Freedman K. Waight M. Brower Page 2 ABSTRACT Since field measurement campaigns for proposed wind projects typically last no more than

More information

New, Unique, and Dedicated dataset for the Global Atlas

New, Unique, and Dedicated dataset for the Global Atlas WFES 2014 EUDP Global Wind Atlas: New, Unique, and Dedicated dataset for the Global Atlas Presented by Jake Badger EUDP is a Danish fund for development and demonstration projects from the Danish Energy

More information

Vaisala 3TIER Services Global Wind Dataset / Annual Mean Validation

Vaisala 3TIER Services Global Wind Dataset / Annual Mean Validation ENERGY Vaisala 3TIER Services Global Wind Dataset / Annual Mean Validation 5km Wind Map at 80m Wind speed 3 m/s 6 m/s 9 m/s The Vaisala 3TIER Services global wind dataset is the first high-resolution,

More information

Very High Resolution Arctic System Reanalysis for 2000-2011

Very High Resolution Arctic System Reanalysis for 2000-2011 Very High Resolution Arctic System Reanalysis for 2000-2011 David H. Bromwich, Lesheng Bai,, Keith Hines, and Sheng-Hung Wang Polar Meteorology Group, Byrd Polar Research Center The Ohio State University

More information

Block Island Wind Farm Energy Production Estimate

Block Island Wind Farm Energy Production Estimate Block Island Wind Farm Energy Production Estimate Prepared for: Deepwater Wind Prepared By: AWS Truepower March 20, 2012 Introduction AWS Truepower, LLC, was retained by Deepwater to provide a preliminary

More information

Comparison of Resource and Energy Yield Assessment Procedures

Comparison of Resource and Energy Yield Assessment Procedures Comparison of Resource and Energy Yield Assessment Procedures Niels G. Mortensen and Hans E. Jørgensen Wind Energy Division, Risø DTU EWEA Wind Resource Assessment Technology Workshop 2011 F Acknowledgements

More information

The information in this report is provided in good faith and is believed to be correct, but the Met. Office can accept no responsibility for any

The information in this report is provided in good faith and is believed to be correct, but the Met. Office can accept no responsibility for any Virtual Met Mast Version 1 Methodology and Verification January 2010 The information in this report is provided in good faith and is believed to be correct, but the Met. Office can accept no responsibility

More information

In a extremely deterministic world... we would have very accurate site wind conditions forecasts for the next 20 years or so...

In a extremely deterministic world... we would have very accurate site wind conditions forecasts for the next 20 years or so... In a extremely deterministic world... we would have very accurate site wind conditions forecasts for the next 20 years or so... Future In a slow-down world... we would wait 20 years to obtain the data

More information

Solar Input Data for PV Energy Modeling

Solar Input Data for PV Energy Modeling June 2012 Solar Input Data for PV Energy Modeling Marie Schnitzer, Christopher Thuman, Peter Johnson Albany New York, USA Barcelona Spain Bangalore India Company Snapshot Established in 1983; nearly 30

More information

National-Scale Wind Resource Assessment for Power Generation

National-Scale Wind Resource Assessment for Power Generation National-Scale Wind Resource Assessment for Power Generation Modern Approaches to Support the Development of a Nation s Wind Energy Potential E. Ian Baring-Gould Asia Clean Energy Forum 2013 June 28, 2013

More information

Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF

Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF 3 Working Group on Verification and Case Studies 56 Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF Bogdan Alexandru MACO, Mihaela BOGDAN, Amalia IRIZA, Cosmin Dănuţ

More information

User Perspectives on Project Feasibility Data

User Perspectives on Project Feasibility Data User Perspectives on Project Feasibility Data Marcel Šúri Tomáš Cebecauer GeoModel Solar s.r.o., Bratislava, Slovakia marcel.suri@geomodel.eu http://geomodelsolar.eu http://solargis.info Solar Resources

More information

A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning.

A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning. A system of direct radiation forecasting based on numerical weather predictions, satellite image and machine learning. 31st Annual International Symposium on Forecasting Lourdes Ramírez Santigosa Martín

More information

ERA-Interim viewed by the Wind Industry

ERA-Interim viewed by the Wind Industry ERA-Interim viewed by the Wind Industry Gil Lizcano VORTE Get in touch:gil.lizcano@vortexfdc.com VORTE Wind & Solar Resource Model Data 20 years wind and meteo time series WRG files at 100m Anywhere Anytime

More information

Preliminary assessment of the variability of UK offshore wind speed as a function of distance

Preliminary assessment of the variability of UK offshore wind speed as a function of distance Home Search Collections Journals About Contact us My IOPscience Preliminary assessment of the variability of UK offshore wind speed as a function of distance to the coast This content has been downloaded

More information

EVALUATION OF SITE-SPECIFIC WIND CONDITIONS

EVALUATION OF SITE-SPECIFIC WIND CONDITIONS EVALUATION OF SITE-SPECIFIC WIND CONDITIONS Version 1 November 2009 MEASNET 2009 - Copyright - all rights reserved This publication may not be reproduced or utilized partially in any form or by any means,

More information

The Wind Integration National Dataset (WIND) toolkit

The Wind Integration National Dataset (WIND) toolkit The Wind Integration National Dataset (WIND) toolkit EWEA Wind Power Forecasting Workshop, Rotterdam December 3, 2013 Caroline Draxl NREL/PR-5000-60977 NREL is a national laboratory of the U.S. Department

More information

1 st WindSim Americas User Meeting 4 December 2014, Orlando

1 st WindSim Americas User Meeting 4 December 2014, Orlando 1 st WindSim Americas User Meeting 4 December 2014, Orlando WindSim 7.0 PRESENTED BY: ARNE R. GRAVDAHL, CTO Allegory of the Cave Prisoners have lived chained to the wall of a cave all of their lives, facing

More information

Towards an NWP-testbed

Towards an NWP-testbed Towards an NWP-testbed Ewan O Connor and Robin Hogan University of Reading, UK Overview Cloud schemes in NWP models are basically the same as in climate models, but easier to evaluate using ARM because:

More information

IMPACT ANALYSIS FOR INTEGRATION OF WIND POWER GENERATION IN COLOMBIA

IMPACT ANALYSIS FOR INTEGRATION OF WIND POWER GENERATION IN COLOMBIA IMPACT ANALYSIS FOR INTEGRATION OF WIND POWER GENERATION IN COLOMBIA PROGRESS STUDY REPORT 02: AEP AND FINANCIAL FEASIBILITY 400 MW WIND FARM PROJECT OCTOBER 2014 ADDRESS COWI A/S Parallelvej 2 2800 Kongens

More information

QUICK GUIDE - WASP-CFD IN WINDPRO. Draft 1 edition: 01.02.2013. Purpose: EMD International A/S, Aalborg February 1 st, 2013

QUICK GUIDE - WASP-CFD IN WINDPRO. Draft 1 edition: 01.02.2013. Purpose: EMD International A/S, Aalborg February 1 st, 2013 EMD International A/S, Aalborg February 1 st, 2013 QUICK GUIDE - WASP-CFD IN WINDPRO Draft 1 edition: 01.02.2013 Purpose: To purpose of the WAsP CFD model in WindPRO is to enable the WindPRO user to calculate

More information

Innovations in Understanding Wind and Solar Resource

Innovations in Understanding Wind and Solar Resource INVESTOR CONFERENCE 2010 BUILDING THE NEXT ERA OF CLEAN ENERGY Innovations in Understanding Wind and Solar Resource Mark Ahlstrom CEO, WindLogics May 4, 2010 Cautionary Statements And Risk Factors That

More information

Operational Mesoscale NWP at the Japan Meteorological Agency. Tabito HARA Numerical Prediction Division Japan Meteorological Agency

Operational Mesoscale NWP at the Japan Meteorological Agency. Tabito HARA Numerical Prediction Division Japan Meteorological Agency Operational Mesoscale NWP at the Japan Meteorological Agency Tabito HARA Numerical Prediction Division Japan Meteorological Agency NWP at JMA JMA has been operating two NWP models. GSM (Global Spectral

More information

SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY

SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY SOLAR IRRADIANCE FORECASTING, BENCHMARKING of DIFFERENT TECHNIQUES and APPLICATIONS of ENERGY METEOROLOGY Wolfgang Traunmüller 1 * and Gerald Steinmaurer 2 1 BLUE SKY Wetteranalysen, 4800 Attnang-Puchheim,

More information

Coupling micro-scale CFD simulations to meso-scale models

Coupling micro-scale CFD simulations to meso-scale models Coupling micro-scale CFD simulations to meso-scale models IB Fischer CFD+engineering GmbH Fabien Farella Michael Ehlen Achim Fischer Vortex Factoria de Càlculs SL Gil Lizcano Outline Introduction O.F.Wind

More information

Project Title: Quantifying Uncertainties of High-Resolution WRF Modeling on Downslope Wind Forecasts in the Las Vegas Valley

Project Title: Quantifying Uncertainties of High-Resolution WRF Modeling on Downslope Wind Forecasts in the Las Vegas Valley University: Florida Institute of Technology Name of University Researcher Preparing Report: Sen Chiao NWS Office: Las Vegas Name of NWS Researcher Preparing Report: Stanley Czyzyk Type of Project (Partners

More information

The use of detailed weather information in farm management

The use of detailed weather information in farm management The use of detailed weather information in farm management Smart AgriMatics 2014, Paris Luka Honzak, Marko Novak, Vanja Blažica, Andrej Ceglar BO - MO, LTD. luka@bo-mo.si Outlook Introduction Company,

More information

118358 SUPERENSEMBLE FORECASTS WITH A SUITE OF MESOSCALE MODELS OVER THE CONTINENTAL UNITED STATES

118358 SUPERENSEMBLE FORECASTS WITH A SUITE OF MESOSCALE MODELS OVER THE CONTINENTAL UNITED STATES 118358 SUPERENSEMBLE FORECASTS WITH A SUITE OF MESOSCALE MODELS OVER THE CONTINENTAL UNITED STATES Donald F. Van Dyke III * Florida State University, Tallahassee, Florida T. N. Krishnamurti Florida State

More information

Forecaster comments to the ORTECH Report

Forecaster comments to the ORTECH Report Forecaster comments to the ORTECH Report The Alberta Forecasting Pilot Project was truly a pioneering and landmark effort in the assessment of wind power production forecast performance in North America.

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution

More information

EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS

EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS Author Marie Schnitzer Director of Solar Services Published for AWS Truewind October 2009 Republished for AWS Truepower: AWS Truepower, LLC

More information

Adjustment of Anemometer Readings for Energy Production Estimates WINDPOWER June 2008 Houston, Texas

Adjustment of Anemometer Readings for Energy Production Estimates WINDPOWER June 2008 Houston, Texas Adjustment of Anemometer Readings for Energy Production Estimates WINDPOWER June 2008 Houston, Texas Matthew Filippelli, Julien Bouget, Michael Brower, and Dan Bernadett AWS Truewind, LLC 463 New Karner

More information

Wind Resource Assessment for BETHEL, ALASKA Date last modified: 2/21/2006 Compiled by: Mia Devine

Wind Resource Assessment for BETHEL, ALASKA Date last modified: 2/21/2006 Compiled by: Mia Devine 813 W. Northern Lights Blvd. Anchorage, AK 99503 Phone: 907-269-3000 Fax: 907-269-3044 www.akenergyauthority.org Wind Resource Assessment for BETHEL, ALASKA Date last modified: 2/21/2006 Compiled by: Mia

More information

Sandia National Laboratories New Mexico Wind Resource Assessment Lee Ranch

Sandia National Laboratories New Mexico Wind Resource Assessment Lee Ranch Sandia National Laboratories New Mexico Wind Resource Assessment Lee Ranch Data Summary and Transmittal for September December 2002 & Annual Analysis for January December 2002 Prepared for: Sandia National

More information

Virtual Met Mast verification report:

Virtual Met Mast verification report: Virtual Met Mast verification report: June 2013 1 Authors: Alasdair Skea Karen Walter Dr Clive Wilson Leo Hume-Wright 2 Table of contents Executive summary... 4 1. Introduction... 6 2. Verification process...

More information

Historical Weather Data for Fire Planning Analysis from the North American Regional Reanalysis Dataset

Historical Weather Data for Fire Planning Analysis from the North American Regional Reanalysis Dataset Historical Weather Data for Fire Planning Analysis from the North American Regional Reanalysis Dataset January 2008 IMPORTANT NOTICE: DATA GENERATED FROM THIS PROJECT WILL BE BENEFICIAL IN PERFORMING CLIMATOLOGICAL

More information

Partnership to Improve Solar Power Forecasting

Partnership to Improve Solar Power Forecasting Partnership to Improve Solar Power Forecasting Venue: EUPVSEC, Paris France Presenter: Dr. Manajit Sengupta Date: October 1 st 2013 NREL is a national laboratory of the U.S. Department of Energy, Office

More information

Integrating WAsP and GIS Tools for Establishing Best Positions for Wind Turbines in South Iraq

Integrating WAsP and GIS Tools for Establishing Best Positions for Wind Turbines in South Iraq Integrating WAsP and GIS Tools for Establishing Best Positions for Wind Turbines in South Iraq S.M. Ali Remote Sensing Research Unit, College of Science, Univ. of Baghdad, Baghdad, Iraq deanoffice {at}

More information

Weather Data for Building Energy Analysis

Weather Data for Building Energy Analysis AUTODESK GREEN BUILDING STUDIO WHITE PAPER Weather Data for Building Energy Analysis By Stuart Malkin, Meteorologist Software Development Manager Autodesk, Inc. Overview Autodesk Green Building Studio

More information

WHAT ARE TMY & AMY FILES? WHITE PAPER. A Summary of Weather Files and Climate Data Input for Modeling

WHAT ARE TMY & AMY FILES? WHITE PAPER. A Summary of Weather Files and Climate Data Input for Modeling WHAT ARE TMY & AMY FILES? WHITE PAPER A Summary of Weather Files and Climate Data Input for Modeling HISTORY AND TYPES OF CLIMATE DATA History and Types of Climate Data Modern building codes were not enacted

More information

REDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES

REDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES REDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES Mitigating Energy Risk through On-Site Monitoring Marie Schnitzer, Vice President of Consulting Services Christopher Thuman, Senior Meteorologist Peter Johnson,

More information

As a minimum, the report must include the following sections in the given sequence:

As a minimum, the report must include the following sections in the given sequence: 5.2 Limits for Wind Generators and Transformer Substations In cases where the noise impact at a Point of Reception is composed of combined contributions due to the Transformer Substation as well as the

More information

REGIONAL CLIMATE AND DOWNSCALING

REGIONAL CLIMATE AND DOWNSCALING REGIONAL CLIMATE AND DOWNSCALING Regional Climate Modelling at the Hungarian Meteorological Service ANDRÁS HORÁNYI (horanyi( horanyi.a@.a@met.hu) Special thanks: : Gabriella Csima,, Péter Szabó, Gabriella

More information

Application of Numerical Weather Prediction Models for Drought Monitoring. Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia

Application of Numerical Weather Prediction Models for Drought Monitoring. Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia Application of Numerical Weather Prediction Models for Drought Monitoring Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia Contents 1. Introduction 2. Numerical Weather Prediction Models -

More information

USE OF REMOTE SENSING FOR WIND ENERGY ASSESSMENTS

USE OF REMOTE SENSING FOR WIND ENERGY ASSESSMENTS RECOMMENDED PRACTICE DNV-RP-J101 USE OF REMOTE SENSING FOR WIND ENERGY ASSESSMENTS APRIL 2011 FOREWORD (DNV) is an autonomous and independent foundation with the objectives of safeguarding life, property

More information

Atmospheric Science in the Deep South National Science Challenge. Adrian McDonald University of Canterbury, Christchurch, New Zealand

Atmospheric Science in the Deep South National Science Challenge. Adrian McDonald University of Canterbury, Christchurch, New Zealand Atmospheric Science in the Deep South National Science Challenge Adrian McDonald University of Canterbury, Christchurch, New Zealand The Deep South The Deep South National Science Challenge is one of ten

More information

46200 Planning and Development of Wind Farms: Wind resource assessment using the WAsP software

46200 Planning and Development of Wind Farms: Wind resource assessment using the WAsP software Downloaded from orbit.dtu.dk on: Jan 30, 2016 46200 Planning and Development of Wind Farms: Wind resource assessment using the WAsP software Mortensen, Niels Gylling Publication date: 2014 Document Version

More information

1.24 APPLICATION AND DEVELOPMENT OF THE OFIS MODEL WITHIN THE FRAMEWORK OF CITYDELTA

1.24 APPLICATION AND DEVELOPMENT OF THE OFIS MODEL WITHIN THE FRAMEWORK OF CITYDELTA 1.24 APPLICATION AND DEVELOPMENT OF THE MODEL WITHIN THE FRAMEWORK OF CITYDELTA Nicolas Moussiopoulos and Ioannis Douros Laboratory of Heat Transfer and Environmental Engineering, Aristotle University

More information

Meteorological Forecasting of DNI, clouds and aerosols

Meteorological Forecasting of DNI, clouds and aerosols Meteorological Forecasting of DNI, clouds and aerosols DNICast 1st End-User Workshop, Madrid, 2014-05-07 Heiner Körnich (SMHI), Jan Remund (Meteotest), Marion Schroedter-Homscheidt (DLR) Overview What

More information

Proposals of Summer Placement Programme 2015

Proposals of Summer Placement Programme 2015 Proposals of Summer Placement Programme 2015 Division Project Title Job description Subject and year of study required A2 Impact of dual-polarization Doppler radar data on Mathematics or short-term related

More information

Database of measurements on the offshore wind farm Egmond aan Zee

Database of measurements on the offshore wind farm Egmond aan Zee Database of measurements on the offshore wind farm Egmond aan Zee A.J. Brand J.W. Wagenaar P.J. Eecen M.C. Holtslag 1 1 TU Delft, Faculty Aerospace Engineering Presented at the the EWEA 2012 conference,

More information

NEW US WIND ENERGY POTENTIAL ESTIMATES

NEW US WIND ENERGY POTENTIAL ESTIMATES NEW US WIND ENERGY POTENTIAL ESTIMATES Background and Explanation of Changes from Prior Estimates Michael Brower, CTO AWS Truepower, LLC 463 New Karner Road Albany, NY 12205 awstruepower.com info@awstruepower.com

More information

Third International Meeting on Wind Turbine Noise Aalborg, Denmark 17 19 June 2009

Third International Meeting on Wind Turbine Noise Aalborg, Denmark 17 19 June 2009 Third International Meeting on ind Turbine oise Aalborg, Denmark 17 19 June 009 A Comparison of Background oise Levels Collected at the Portland ind nergy Project in Victoria, Australia ABTRACT Christophe

More information

Hong Kong Observatory Summer Placement Programme 2015

Hong Kong Observatory Summer Placement Programme 2015 Annex I Hong Kong Observatory Summer Placement Programme 2015 Training Programme : An Observatory mentor with relevant expertise will supervise the students. Training Period : 8 weeks, starting from 8

More information

Operational and other ALADIN activities in Meteorological and Hydrological Service of Croatia. Martina Tudor and Stjepan Ivatek-Šahdan

Operational and other ALADIN activities in Meteorological and Hydrological Service of Croatia. Martina Tudor and Stjepan Ivatek-Šahdan Operational and other ALADIN activities in Meteorological and Hydrological Service of Croatia Martina Tudor and Stjepan Ivatek-Šahdan 1. Summary The operational suite has suffered from numerous problems

More information

Länderübergreifender Ausgleich für die Integration Erneuerbarer Energien

Länderübergreifender Ausgleich für die Integration Erneuerbarer Energien Länderübergreifender Ausgleich für die Integration Erneuerbarer Energien Jens Tambke, Lueder von Bremen ForWind, Carl von Ossietzky Universität Oldenburg Dialogforum Potenziale zum Lastausgleich, 10.11.11

More information

The Weather Intelligence for Renewable Energies Benchmarking Exercise on Short-Term Forecasting of Wind and Solar Power Generation

The Weather Intelligence for Renewable Energies Benchmarking Exercise on Short-Term Forecasting of Wind and Solar Power Generation Energies 2015, 8, 9594-9619; doi:10.3390/en8099594 Article OPEN ACCESS energies ISSN 1996-1073 www.mdpi.com/journal/energies The Weather Intelligence for Renewable Energies Benchmarking Exercise on Short-Term

More information

A E O L I S F O R E C A S T I N G S E R V I C E S WIND FARM ENERGY ASSESSMENT - FEASIBILITY STUDY. Kees van Vliet

A E O L I S F O R E C A S T I N G S E R V I C E S WIND FARM ENERGY ASSESSMENT - FEASIBILITY STUDY. Kees van Vliet A E O L I S F O R E C A S T I N G S E R V I C E S WIND FARM ENERGY ASSESSMENT - FEASIBILITY STUDY Kees van Vliet September 2007 K o n i n g s l a a n 11 2 3 5 8 3 G V U t r e c h t T h e N e t h e r l

More information

Best Practice Guidelines for Mesoscale Wind Mapping Projects for the World Bank

Best Practice Guidelines for Mesoscale Wind Mapping Projects for the World Bank Best Practice Guidelines for Mesoscale Wind Mapping Projects for the World Bank October 2010 ESMAP The World Bank s Energy Sector Management Assistance Program 2 Table of Contents Introduction... 5 1 Mesoscale

More information

Baudouin Raoult, Iryna Rozum, Dick Dee

Baudouin Raoult, Iryna Rozum, Dick Dee ECMWF contribution to the EU funded CHARME Project: A Significant Event Viewer tool Matthew Manoussakis Baudouin Raoult, Iryna Rozum, Dick Dee 5th Workshop on the use of GIS/OGC standards in meteorology

More information

Assessment wind measurement strategy

Assessment wind measurement strategy ENERGY Assessment wind measurement strategy Options for Hollandse Kust Zuid - Draft 1 DNV GL 2015 2016 10014447 SAFER, SMARTER, GREENER Introduction and assignment In December 2014 DNV GL made the following

More information

EFFECTS OF COMPLEX WIND REGIMES ON TURBINE PERFORMANCE

EFFECTS OF COMPLEX WIND REGIMES ON TURBINE PERFORMANCE EFFECTS OF COMPLEX WIND REGIMES ON TURBINE PERFORMANCE Elisabeth Rareshide, Andrew Tindal 1, Clint Johnson, AnneMarie Graves, Erin Simpson, James Bleeg, Tracey Harris, Danny Schoborg Garrad Hassan America,

More information

Financing Community Wind

Financing Community Wind Financing Community Wind Wind Data and Due Diligence What is the Project's Capacity Factor? Community Wind Energy 2006 March 8, 2006 Mark Ahlstrom mark@windlogics.com Slide 1 The Need for Wind Assessment

More information

Data assimilation over Northern polar region using WRF and WRFDA

Data assimilation over Northern polar region using WRF and WRFDA Data assimilation over Northern polar region using WRF and WRFDA Zhiquan Liu, Hui-Chuan Lin, and Ying-Hwa Kuo National Center for Atmospheric Research, Boulder, CO, USA David Bromwich and Lesheng Bai Ohio

More information

Cloud Model Verification at the Air Force Weather Agency

Cloud Model Verification at the Air Force Weather Agency 2d Weather Group Cloud Model Verification at the Air Force Weather Agency Matthew Sittel UCAR Visiting Scientist Air Force Weather Agency Offutt AFB, NE Template: 28 Feb 06 Overview Cloud Models Ground

More information

Comprehensive Forecasting System for Variable Renewable Energy

Comprehensive Forecasting System for Variable Renewable Energy Branko Kosović Sue Ellen Haupt, Gerry Wiener, Luca Delle Monache, Yubao Liu, Marcia Politovich, Jenny Sun, John Williams*, Daniel Adriaansen, Stefano Alessandrini, Susan Dettling, and Seth Linden (NCAR,

More information

SANEA Lecture Series. South Africa's Wind Power Potential

SANEA Lecture Series. South Africa's Wind Power Potential SANEA Lecture Series South Africa's Wind Power Potential Dr Kilian Hagemann G7 Renewable Energies (Pty) Ltd Member of the South African Wind Energy Association (SAWEA) Cape Town, 13 Feb 2013 Presentation

More information

The role of Earth Observation Satellites to observe rainfall. Riko Oki National Space Development Agency of Japan

The role of Earth Observation Satellites to observe rainfall. Riko Oki National Space Development Agency of Japan The role of Earth Observation Satellites to observe rainfall Riko Oki National Space Development Agency of Japan Outline 1. Importance of rain measurement 2. TRMM and Its Achievements 3. Outline of GPM

More information

Context and purposes. Wind characteristics

Context and purposes. Wind characteristics Context and purposes The SWIP project ( New innovative solutions, components and tools for the integration of wind energy in urban and peri-urban areas ) aims to expand the market for Small Wind Turbines

More information

Development of an Integrated Data Product for Hawaii Climate

Development of an Integrated Data Product for Hawaii Climate Development of an Integrated Data Product for Hawaii Climate Jan Hafner, Shang-Ping Xie (PI)(IPRC/SOEST U. of Hawaii) Yi-Leng Chen (Co-I) (Meteorology Dept. Univ. of Hawaii) contribution Georgette Holmes

More information

Power output of offshore wind farms in relation to atmospheric stability Laurens Alblas BSc

Power output of offshore wind farms in relation to atmospheric stability Laurens Alblas BSc Power output of offshore wind farms in relation to atmospheric stability Laurens Alblas BSc Photo: Vestas Wind Systems A/S 1 1. Introduction Background Atmospheric stability is known to influence wind

More information

O.F.Wind Wind Site Assessment Simulation in complex terrain based on OpenFOAM. Darmstadt, 27.06.2012

O.F.Wind Wind Site Assessment Simulation in complex terrain based on OpenFOAM. Darmstadt, 27.06.2012 O.F.Wind Wind Site Assessment Simulation in complex terrain based on OpenFOAM Darmstadt, 27.06.2012 Michael Ehlen IB Fischer CFD+engineering GmbH Lipowskystr. 12 81373 München Tel. 089/74118743 Fax 089/74118749

More information

Effects of Global Warming on the Average Wind Speed Field in Central Japan

Effects of Global Warming on the Average Wind Speed Field in Central Japan Effects of Global Warming on the Average Wind Speed Field in Central Japan Mustamin Rahim,,*, Jun Yoshino, Yasuhiro Doi 3 and Takashi Yasuda 4 Department of Architecture, Faculty of Engineering, Khairun

More information

1.1 History of Weather Forecast

1.1 History of Weather Forecast 1.1 History of Weather Forecast 1780-1795!Societas Meteorologica Palatina (SMP) (Mannheimer Meteorologische Gesellschaft), Secretary: Johann Jakob Hemmer! - SMP was the first organisation for worldwide

More information

Fire Weather Index: from high resolution climatology to Climate Change impact study

Fire Weather Index: from high resolution climatology to Climate Change impact study Fire Weather Index: from high resolution climatology to Climate Change impact study International Conference on current knowledge of Climate Change Impacts on Agriculture and Forestry in Europe COST-WMO

More information

German Test Station for Remote Wind Sensing Devices

German Test Station for Remote Wind Sensing Devices German Test Station for Remote Wind Sensing Devices A. Albers, A.W. Janssen, J. Mander Deutsche WindGuard Consulting GmbH, Oldenburger Straße, D-31 Varel, Germany E-mail: a.albers@windguard.de, Tel: (++9)

More information

Development of 2-MW Downwind Wind Power Generation System

Development of 2-MW Downwind Wind Power Generation System Hitachi Review Vol. 62 (23), No. 6 Development of 2-MW Downwind Power Generation System Shingo Inamura, Dr. Eng. Yasushi Shigenaga Soichiro Kiyoki Shigeo Yoshida, Dr. Eng. OVERVIEW: Renewable energy is

More information

NOWCASTING OF PRECIPITATION Isztar Zawadzki* McGill University, Montreal, Canada

NOWCASTING OF PRECIPITATION Isztar Zawadzki* McGill University, Montreal, Canada NOWCASTING OF PRECIPITATION Isztar Zawadzki* McGill University, Montreal, Canada 1. INTRODUCTION Short-term methods of precipitation nowcasting range from the simple use of regional numerical forecasts

More information

Meteo Dashboard a decision support system for planning operation and maintenance activities at offshore wind farms

Meteo Dashboard a decision support system for planning operation and maintenance activities at offshore wind farms Meteo Dashboard a decision support system for planning operation and maintenance activities at offshore wind farms De Nederlandse offshore windenergieconferen;e Jan- Joost Schouten Senior project manager

More information

Wind resources and wind turbine wakes in large wind farms. Professor R.J. Barthelmie Atmospheric Science and Sustainability

Wind resources and wind turbine wakes in large wind farms. Professor R.J. Barthelmie Atmospheric Science and Sustainability Wind resources and wind turbine wakes in large wind farms Professor R.J. Barthelmie Atmospheric Science and Sustainability Overview Wind resource of Egypt Based on Wind Atlas for Egypt Wind turbine wakes

More information

ABSTRACT. This study starts with the investigation of the wind energy resource distribution under

ABSTRACT. This study starts with the investigation of the wind energy resource distribution under ABSTRACT COSTA, KATELYN BROOKE. Downscaling of Climate Change Impacts on Wind Energy Resources in the Continental United States (CONUS). (Under the direction of Dr. Lian Xie). This study starts with the

More information

Titelmasterformat durch Klicken. bearbeiten

Titelmasterformat durch Klicken. bearbeiten Evaluation of a Fully Coupled Atmospheric Hydrological Modeling System for the Sissili Watershed in the West African Sudanian Savannah Titelmasterformat durch Klicken June, 11, 2014 1 st European Fully

More information

Distributed Computing. Mark Govett Global Systems Division

Distributed Computing. Mark Govett Global Systems Division Distributed Computing Mark Govett Global Systems Division Modeling Activities Prediction & Research Weather forecasts, climate prediction, earth system science Observing Systems Denial experiments Observing

More information

Near Real Time Blended Surface Winds

Near Real Time Blended Surface Winds Near Real Time Blended Surface Winds I. Summary To enhance the spatial and temporal resolutions of surface wind, the remotely sensed retrievals are blended to the operational ECMWF wind analyses over the

More information

Finnish Wind Atlas. Finnish Meteorological Institute Finnish Marine Research Institute Technical University of Denmark Vaisala Oyj

Finnish Wind Atlas. Finnish Meteorological Institute Finnish Marine Research Institute Technical University of Denmark Vaisala Oyj Finnish Wind Atlas 1.6.2008 30.11.2009 Bengt Tammelin Finnish Meteorological Institute Finnish Marine Research Institute Technical University of Denmark Vaisala Oyj 10.12.2008 10.12.2008 1 New Wind Atlas

More information

Forest Experiments Ferhat Bingöl

Forest Experiments Ferhat Bingöl Forest Experiments Ferhat Bingöl f bi@ i dt dk febi@risoe.dtu.dk PostDoc Risø DTU 2009 Outlook Instruments Experiment Sites Models Results Conclusion Questions 2 Risø DTU, Technical University of Denmark

More information

David P. Ruth* Meteorological Development Laboratory Office of Science and Technology National Weather Service, NOAA Silver Spring, Maryland

David P. Ruth* Meteorological Development Laboratory Office of Science and Technology National Weather Service, NOAA Silver Spring, Maryland 9.9 TRANSLATING ADVANCES IN NUMERICAL WEATHER PREDICTION INTO OFFICIAL NWS FORECASTS David P. Ruth* Meteorological Development Laboratory Office of Science and Technology National Weather Service, NOAA

More information

VALIDATION OF SAFNWC / MSG CLOUD PRODUCTS WITH ONE YEAR OF SEVIRI DATA

VALIDATION OF SAFNWC / MSG CLOUD PRODUCTS WITH ONE YEAR OF SEVIRI DATA VALIDATION OF SAFNWC / MSG CLOUD PRODUCTS WITH ONE YEAR OF SEVIRI DATA M.Derrien 1, H.Le Gléau 1, Jean-François Daloze 2, Martial Haeffelin 2 1 Météo-France / DP / Centre de Météorologie Spatiale. BP 50747.

More information

Supplementary Information for. Seasonal hydroclimatic impacts of Sun Corridor expansion

Supplementary Information for. Seasonal hydroclimatic impacts of Sun Corridor expansion Supplementary Information for Seasonal hydroclimatic impacts of Sun Corridor expansion M. Georgescu a,b*, A. Mahalov b, and M. Moustaoui b a School of Geographical Sciences and Urban Planning, Arizona

More information

Deviations between wind speed data measured with nacelle-mounted anemometers on small wind turbines and anemometers mounted on measuring masts

Deviations between wind speed data measured with nacelle-mounted anemometers on small wind turbines and anemometers mounted on measuring masts Agronomy Research 12(2), 433 444, 2014 Deviations between wind speed data measured with nacelle-mounted anemometers on small wind turbines and anemometers mounted on measuring masts A. Allik*, J. Uiga

More information

Solar Performance Mapping and Operational Yield Forecasting

Solar Performance Mapping and Operational Yield Forecasting Solar Performance Mapping and Operational Yield Forecasting Supported by Innovate UK Crown copyright Met Office The thing is that Project Overview A collaborative project led by the BRE National Solar

More information

Use of numerical weather forecast predictions in soil moisture modelling

Use of numerical weather forecast predictions in soil moisture modelling Use of numerical weather forecast predictions in soil moisture modelling Ari Venäläinen Finnish Meteorological Institute Meteorological research ari.venalainen@fmi.fi OBJECTIVE The weather forecast models

More information

FP7 Collaborative Project Grant Agreement 212492

FP7 Collaborative Project Grant Agreement 212492 Instrument: SP1 Cooperation Thematic Priority: Priority Area 1.1.6.3 "Global Change and Ecosystems" FP7 Collaborative Project Grant Agreement 212492 CLARIS LPB and Impact Studies in La Plata Basin DELIVERABLES

More information

Selected Ac)vi)es Overseen by the WDAC

Selected Ac)vi)es Overseen by the WDAC Selected Ac)vi)es Overseen by the WDAC Some background obs4mips ana4mips CREATE- IP (in planning stage) Contribu)ons from: M. Bosilovich, O. Brown, V. Eyring, R. Ferraro., P. Gleckler, R. Joseph, J. PoQer,

More information

WIND RESOURCE OF MICROREGIONS IN SOUTH AND NOTHEAST OF BRAZIL: AN EVALUATION OF METEROLOGICAL DATA AND COMPUTACIONAL TOOL

WIND RESOURCE OF MICROREGIONS IN SOUTH AND NOTHEAST OF BRAZIL: AN EVALUATION OF METEROLOGICAL DATA AND COMPUTACIONAL TOOL EWEA 211 - Europe s Premier Wind Energy Event 1-17 March 211, Brussels, Belgium WIN RESOURCE OF MICROREGIONS IN SOUTH AN NOTHEAST OF BRAZIL: AN EVALUATION OF METEROLOGICAL ATA AN COMPUTACIONAL TOOL Jorge

More information

Impacts of a future city master plan on on thermal and wind environments in Vinh city, Vietnam

Impacts of a future city master plan on on thermal and wind environments in Vinh city, Vietnam Impacts of a future city master plan on on thermal and wind environments in Vinh city, Vietnam Satoru Iizuka, Nagoya University, Japan Tatsunori Ito, Nagoya University, Japan Masato Miyata, Mitsubishi

More information

NOAA Big Data Project. David Michaud Acting Director, Office of Central Processing Office Monday, August 3, 2015

NOAA Big Data Project. David Michaud Acting Director, Office of Central Processing Office Monday, August 3, 2015 NOAA Big Data Project David Michaud Acting Director, Office of Central Processing Office Monday, August 3, 2015 Central Processing Portfolio Benefits and Scope Central Processing Portfolio Benefits Ensures

More information

MetFetch: Automated Meteorological Data Retrieval for Fast-Running Emergency Response Codes

MetFetch: Automated Meteorological Data Retrieval for Fast-Running Emergency Response Codes MetFetch: Automated Meteorological Data Retrieval for Fast-Running Emergency Response Codes 18 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling June 25, 2014

More information