Site Data. WTG type Power curve Annual Energy Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Result-10,0% Mean Capacity

Similar documents
WindPRO version Dec 2005 Printed/Page 11/04/2008 1:54 PM / 1. Meteo data report, height: 66.0 Feet

Meteo data report, height: 20.0 m. Name of meteo object: Ugashik

HOW TO GUIDE. Loading climate data from online database

Site Description: Tower Site

Kommerciel arbejde med WAsP

W I N D R E S O U R C E A S S E S S M E N T

Validation n 1 of the Wind Data Generator (WDG) software performance. Comparison with measured mast data - Complex site in Southern France

Due Diligence Analysis. Rush Creek I : Colorado, USA using 200 Vestas V wind turbines at 80 m. Xcel Energy. Colorado PUC E-Filings System

Time zone and Daylight saving time

Site Description: Tower Site

Experiences on representative and effective turbulence calculation: WindSim approach and possible refinements

A detailed and verified wind resource atlas for Denmark

Vindkraftmeteorologi - metoder, målinger og data, kort, WAsP, WaSPEngineering,

A comparative and quantitative assessment of South Africa's wind resource the WASA project

Wind Resource Assessment Practical Guidance for Developing A Successful Wind Project

WASA Project Team. 13 March 2012, Cape Town, South Africa

Introduction to the Estimation of Extreme Wind Speeds and Wind Loads. EMD International A/S

RESILIENT INFRASTRUCTURE June 1 4, 2016

Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation

PowerPredict Wind Power Forecasting September 2011

Site assessment for a type certification icing class Fraunhofer IWES Kassel, Germany

Why WASA an introduction to the wind atlas method and some applications

Commercial Documentation Wind Turbine Generator Systems Hz and 60 Hz

Uncertainty in wind climate parameters and the consequence for fatigue load assessment

Interim (5 km) High-Resolution Wind Resource Map for South Africa

WIND DATA REPORT FOR THE YAKUTAT JULY 2004 APRIL 2005

Algonquin Power Co. Final Shadow Flicker Impact Assessment. Amherst Island Wind Project. For. H Rev. 3 November 28, 2013

Load combinations will be created according to the below option.

Field validation of the RIX performance indicator for flow in complex terrain

Estimated Sound Power Level of the ENERCON E-92 Operational Mode I (Data Sheet)

Algonquin Power Co. Shadow Flicker Impact Assessment. Amherst Island Wind Project. For. H Rev. 2 February 26, 2013

DNV GL s empirical icing map of Sweden and methodology for estimating annual icing losses

A Procedure for Classification of Cup-Anemometers

IECRE OPERATIONAL DOCUMENT

Wind Resource Data Summary Cotal Area, Guam Data Summary and Transmittal for December 2011

Reducing Uncertainty of Near-shore wind resource Estimates (RUNE) using wind lidars and mesoscale models

Wind Atlas for South Africa (WASA)

EUROCODES. User's Guide to Excel spreadsheet file Verification tests EN : Eurocode 1. SPREADSHEETS Structural Design TRYOUT - November 2015

Validation of annual wind energy production estimates using the WRF model at 50 wind farms

June 2011 Wind Speed Prediction using Global and Regional Based Virtual Towers in CFD Simulations

EWEA 2016 Methods for Detection of Icing Losses in Scada Data. Staffan Asplund, Christian Granlund Etha Wind Oy Teppo Hilakivi, Puhuri Oy

Application of the wind atlas for Egypt

Simulating the Vertical Structure of the Wind with the WRF Model

Appendix 4A Candidate Turbine Manufacturer Data

The Global Wind Atlas: The New Worldwide Microscale Wind Resource Assessment Data and Tools

The benefits and developments in ensemble wind forecasting

API 4F, 4th Edition, Purchasing Guideline

Notice on a Case Study on the Utilization of Wind Energy Potential on a Remote and Isolated Small Wastewater Treatment Plant

Mountain Wave Study at a Wind Farm Site in the Eastern Rocky Mountains

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

Adaptive Control of Variable-Speed Variable-Pitch Wind Turbines Using RBF Neural Network

Fatigue Reliability and Effective Turbulence Models in Wind Farms

VNA Tools II S-parameter uncertainty calculation

RESULTS OF THE NEW ICETOOLS INQUIRY ON OPERATOR S EXPERIENCE WITH TURBINE ICING

Quantification of energy losses caused by blade icing and the development of an Icing Loss Climatology

Generating Virtual Wind Climatologies through the Direct Downscaling of MERRA Reanalysis Data using WindSim

Increasing Transmission Capacities with Dynamic Monitoring Systems

What is a wind atlas and where does it fit into the wind energy sector?

Extreme Winds in the Western North Pacific. Søren Ott

Structural, Snow & Wind Loading Appraisal Report

POWER QUALITY MEASUREMENT PROCEDURE. Version 4 October Power-Quality-Oct-2009-Version-4.doc Page 1 / 12

Worldwide Data Quality Effects on PBL Short-Range Regulatory Air Dispersion Models

Studnice Test Station (EGÚ Brno)

Topographic Maps Knowledge of Maps What are they? What are they used for? Why are they important?

Henrik Aalborg Nielsen 1, Henrik Madsen 1, Torben Skov Nielsen 1, Jake Badger 2, Gregor Giebel 2, Lars Landberg 2 Kai Sattler 3, Henrik Feddersen 3

Representivity of wind measurements for design wind speed estimations

AN ASSESSMENT OF THE DISCREPANCY BETWEEN OPERATIONAL ASSESSMENT AND WIND RESOURCE ASSESSMENT FOR A WIND FARM IN IRELAND

WindPRO version Jan 2011 Printed/Page :15 / 1. DECIBEL - Main Result. Calculation: Decibel_Min_layout_EIAR_KJ. WTGs.

The selective dynamical downscaling method for extreme wind atlases. Xiaoli Guo Larsén Jake Badger Andrea N. Hahmann Søren Ott

AdaptiveImpact Absorption. Smart Technology Centre

Wind Power Forecasting Using Non-Linear ARMAX Models and Neural Networks

PRELIMINARY WIND RESOURCE ASSESSMENT OF WINDYGATES FIRST NATIONS PROJECT. Department of Innovation, Energy and Mines Contact. Rick Halas Document No

Wake modeling with the Actuator Disc concept

Austrian Wind Atlas and Wind Potential Analysis

Wind Resource Assessment in Complex Terrain: Validation and Comparison of Two Computational Fluid Dynamics Models

Blade modelling, lifetime assessment, and health monitoring

windpro Palovaara_Ahkiovaara WTG Shadow receptor-input

Coastal and Hydraulics Laboratory

The new worldwide microscale wind resource assessment data on IRENA s Global Atlas. The EUDP Global Wind Atlas

Achieving Reliable Energy Production During Winter Months

wind power forecasts

AUTOMATIC MEASUREMENT OF ICING ON THE WEST OF THE CZECH REPUBLIC

Sonic Anemometer Classification

Extreme Design Loads Calibration of Offshore Wind Turbine Blades through Real Time Measurements

Dennis: SODAR-Based Wind Resource Assessment

Metallic materials Brinell hardness test. Part 3: Calibration of reference blocks

STRUCTURAL ANALYSIS REPORT. WHISPER ft GUYED WIND TURBINE TEP # Revision 0 November 6, 2006 PORTABLE DOCUMENT FORMAT.

PECIFICATIONS Model TC03 Page 3 1. Scope This specification applies to the ceramic type trimmer capacitor using ceramic as a dielectric.

Big Thunder Wind Park, Draft Environmental Noise Impact Report

Optimization of 20kVA, 3-Phase Induction Motor using Genetic Algorithm

WIND DATA REPORT. Vinalhaven

AERMOD Sensitivity to AERSURFACE Moisture Conditions and Temporal Resolution. Paper No Prepared By:

WIND DATA REPORT. Vinalhaven

Global Wind Atlas validation and uncertainty

REPORTS OF CHAIRS. Report of the Chair ET-ORS. (Submitted by Li Bai on Behalf of CIMO Expert Team on Operational Remote-Sensing)

Erik Sloth Vestas. Niels Christian Møller Nielsen VESTAS Ejler Kristensen BONUS Energy Bo Søndergaard DELTA

Identification of Variables for Site Calibration and Power Curve Assessment in Complex Terrain. SiteParIden

Centralized Forecasting Registration and Communication Requirements for Distribution Connected Variable Generators. IESO Training

Nelson Lagoon, Alaska Wind and Solar Resource Assessment Report

User Manuel. EurotaxForecast. Version Latest changes ( )

Transcription:

ishek AsP interface - Main Result Calculation: AsP Interface ame ite data for AsP - no long-term correction ite coordinates UTM G Zone: 1 ast:.3 orth:.11.713 MD International A/ iels Jernes Vej 1 DK-9 Aalborg Ø + 93 11--1 :3/3..1 Air density calculation mode Individual per TG Result for TG at hub altitude 1,13 kg/m³ Air density relative to standard 9,9 % Hub altitude above sea level (asl) 7, m Annual mean temperature at hub alt. 3, C Pressure at TGs 93,3 hpa The calculation is based on conversion of a wind statistic (wind climate for the region) through a terrain modeling (roughness, elevation and local obstacles) to wind distribution on the turbine position based on the IDATLA method (Risø/DTU), where the software package AsP (Risø/DTU) is used for performing the calculations. The calculated wind distribution is converted to expected annual energy production (AP) through the power curve and air density correction. AsP version AsP -9 RVA11.dll 1,,, 13 ind statistics U ishek met mast 7-1 to - -, m.wws ite Data cale 1:. Calculation Results Key results for height, m above ground level ind energy:.7 kh/m²; Mean wind speed:, m/s; quivalent roughness:,9 Calculated Annual nergy TG type Power curve Annual nergy Valid Manufact. Type-generator Power, Rotor Hub Creator ame Result Result-1,% Mean Capacity rated diameter height wind factor speed [k] [m] [m] [Mh] [Mh] [m/s] [%] Yes VTA V-1.M -1. 1., 7, MD Level - calculated - IC class I - 1-3., 7.7 9,19, 3..1 by MD International A/, Tel. + 9 3, www.emd.dk, windpro@emd.dk 11--1 :3 / 1

ishek MD International A/ iels Jernes Vej 1 DK-9 Aalborg Ø + 93 11--1 :3/3..1 AsP interface - Production Analysis Calculation: AsP InterfaceTG: VTA V-1.M Hz 1.!O!, Hub height: 7, m, Air density: 1,13 kg/m³ Directional Analysis ector 1 3 7 9 1 11 Total Roughness based energy [Mh] 1.,1,3 3,1 333,1 39,3 73,1 1.13,3 1,3,7,7 7, 1.1,1.3, -Decrease due to obstacles [Mh],,,,, 1,1,,,,1,, 1, +Increase due to hills [Mh],, 7, 1,,1 1, 1, 3, 3,9 7,,, 71, Resulting energy [Mh] 1.7,3 9, 1, 3,7 3, 3,3 1.1, 1, 3,1 3,,1 1.9,1., pecific energy [kh/m²] 1.711 pecific energy [kh/k].779 Decrease due to obstacles [%],,,,,1,,,,1,,,, Increase due to hills [%] 1,,1 1,9 1, 1,,9 1,7 3,7 11, 17, 1,, 7,11 Directional Distribution [%] 1,,9,,,7 7, 13,3 9,9 7,3,1 7, 1,7 1, Utilization [%], 7, 3, 3, 33, 37,, 9, 3,7 3,3 33,,3 9, Operational [Hours/year] 1.17 7 99 7 1 79 99 3 1.1.99 Full Load quivalent [Hours/year] 71 331 31 1 3 3 73 31 91 3.779 A- parameter [m/s] 1, 1,1 9,3 9,, 9, 11,1 11, 1, 1, 1,1 1,9 1,3 Mean wind speed [m/s] 9, 9,,3, 7,,3 9,9 1, 9,7 9, 9,1 9,7 9, k- parameter,9,,3,3, 3,3 3,9 3,3 3,33 3,3 3,7,71,3 Frequency [%] 1, 7,,9,7,, 11,7 7,9,, 7, 11,9 1, Power density [/m²] nergy vs. sector nergy vs. w ind speed 1. 1. 1.1 1.1 1. 1. nergy [Mh/year] 9 7 3 1 ector nergy [Mh/year] 9 7 3 1 1 1 1 1 ind speed [m/s] 1 nergy [Mh/year] 7 7 3 3 1 1 Impact of hills and obstacles vs. sector ector Hill Obstacle 3..1 by MD International A/, Tel. + 9 3, www.emd.dk, windpro@emd.dk 11--1 :3 /

ishek AsP interface - Power Curve Analysis MD International A/ iels Jernes Vej 1 DK-9 Aalborg Ø + 93 11--1 :3/3..1 Calculation: AsP InterfaceTG: VTA V-1.M Hz 1.!O! Level - calculated - IC class I - 1-3, Hub height: 7, m ame: Level - calculated - IC class I - 1-3 ource: Manufacturer ource/date Created by Created dited top wind speed Power control CT curve type Generator type pecific power [m/s] k/m² -1-3 MD --3 --, Pitch User defined Variable,3 Based on Item no: 911.R dated /1-3. The power curve is calculated. Only for UA and Canada. HP curve comparison - ote: For standard air density and weibull k parameter = Vmean [m/s] 7 9 1 HP value Pitch, variable speed (13) [Mh].3..9.7.3.93 VTA V-1.M Hz 1.!O! Level - calculated - IC class I - 1-3 [Mh].3 3.93.33. 7.9.93 Check value [%] 7 3 1 1 1 The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all TGs performs quite similar - only specific power loading (k/m^) and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses. For further details, ask at the Danish nergy Agency for project report J.nr. 1171/-1 or see manual chapter 3... The method is refined in MD report " Detailed Case tudies comparing Project Design Calculations and actual nergy Productions for ind nergy Projects worldwide", jan 3. Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -%, the power curve probably is too optimistic due to uncertainty in power curve measurement. Power curve Original data from indcat, Air density: 1, kg/m³ ind speed Power Ce ind speed Ct curve [m/s] [k] [m/s], 3,,,,, 99,,,,,,,39,, 7,,, 7,,, 73,,7,,3 9, 1.1,, 9,, 1, 1.3,, 1,,73 11, 1.39,, 11,, 1, 1.77,,33 1,,9 13, 1.797,,7 13,,3 1, 1.,,1 1,, 1, 1.,,17 1,, 1, 1.,,1 1,,1 17, 1.,,1 17,,1 1, 1.,,1 1,,13 19, 1.,,9 19,,11, 1.,,7,,9 1, 1.,, 1,,, 1.,,,,7 3, 1.,, 3,,, 1.,,,,, 1.,,,, Power, fficiency and energy vs. wind speed Data used in calculation, Air density: 1,13 kg/m³ ew method (adjusted IC method, improved to match turbine control) <RCOMMDD> ind speed Power Ce Interval nergy Acc.nergy Relative [m/s] [k] [m/s] [Mh] [Mh] [%] 1,,,,- 1,,,,,,, 1,-,,,, 3,,,,- 3,,,,,,, 3,-, 1,1 1,1,1, 9,,,-, 1, 71,7,,,9,3,-, 13,,9 3, 7, 39,,,- 7, 33, 3,3 7,, 9,,7 7,-,, 1., 1, 9, 9,,,- 9, 9,1.1,9,7 1, 1.7,, 9,-1, 1.1, 3.373,3 39, 11, 1.,, 1,-11, 1.,.3,7 3,9 1, 1.7,1,3 11,-1, 1.1,.1,9 7, 13, 1.7,, 1,-13, 9,.771,7 7,7 1, 1.799,, 13,-1, 9, 7.,, 1, 1.,,1 1,-1, 9,9 7.937,9 9,3 1, 1.,,1 1,-1, 9,.33, 9,7 17, 1.,,13 1,-17, 17,.7,7 97,7 1, 1.,,11 17,-1, 9,7., 9,9 19, 1.,,9 1,-19,,.,3 99,, 1.,, 19,-,,.,7 99, 1, 1.,,7,-1, 1,1.9, 99,9, 1.,, 1,-,,.9,3 1, 3, 1.,,,-3,,.,7 1,, 1.1,, 3,-, 1,.1,7 1,, 1.,,,-,,3., 1, Pow er curve Data used in calculation, Ce and Ct curve 1 Power [k] 1. 1.7 1. 1. 1. 1.3 1. 1.1 1. 9 7 3 1 1 1 1 1 ind speed [m/s] 1,,3,,1 1 1 1 ind speed [m/s] 1 Ce 1 Ct,,,, 3..1 by MD International A/, Tel. + 9 3, www.emd.dk, windpro@emd.dk 11--1 :3 / 3

ishek AsP interface - Terrain Calculation: AsP Interfaceite Data: A - ite data for AsP - no long-term correction MD International A/ iels Jernes Vej 1 DK-9 Aalborg Ø + 93 11--1 :3/3..1 Obstacles: 3 Obstacles used Roughness: Calculation uses following MAP files: C:\Users\pma\Documents\indPRO Data3.\amples\ishek\ROUGHLI_ishek_.wpo Min X:.3, Max X: 93.791, Min Y:.9.9, Max Y:.1.3, idth: 71.9 m, Height: 7.1 m Limited by a square on, km x, km around the current site Orography: Calculation uses following MAP files: C:\Users\pma\Documents\indPRO Data3.\amples\ishek\DM\DMO HP FIL HCL\1 ft HCL from GM.wpo Min X: 3.7, Max X: 7.3, Min Y:.13.7, Max Y:.117.11, idth: 13.7 m, Height: 13. m Limited by a square on 1, km x 1, km around the current site 3..1 by MD International A/, Tel. + 9 3, www.emd.dk, windpro@emd.dk 11--1 :3 /

ishek MD International A/ iels Jernes Vej 1 DK-9 Aalborg Ø + 93 11--1 :3/3..1 AsP interface - ind Data Analysis Calculation: AsP Interfaceind data: A - ite data for AsP - no long-term correction; Hub height:, ite coordinates UTM G Zone: 1 ast:.3 orth:.11.713 ind statistics U ishek met mast 7-1 to - -, m.wws eibull Data : Roughness class 1 ector A- ind k- Frequency A- k- Frequency parameter speed parameter parameter parameter [m/s] [m/s] [%] [m/s] [%] 1,7,97,11 13, 1,1, 1, 1 9,,3,3 7, 9,,33 7,, 7,7,99,9,1,31, 3,1 7,,3, 7,7,, 7,9 7,,3, 7,3,9,3, 7, 3,1,, 3,3, 1, 9,9,971 11, 1,3,97 1, 7 1, 9,7 3, 7, 1,7 3,7, 1, 9, 3,,7 9, 3,19, 9 9,,3 3,,,9 3,, 1 9,,1 3,131 7,7,7 3,31 7, 11 1, 9,1, 11,9 1,, 1,1 All 9,,,7 1, 9,37,9 1, eibull Distribution nergy Rose (kh/m²/year) 11 1 7 9 Frequency [%] 7 3 1 1 1 1 1 ind speed [m/s] 1 : A=9,37;k=,9;Vmean=,3 m/s : A=9,;k=,7;Vmean=, m/s Mean w ind speed (m/s) Frequency (%) 1, 1 7,, 3..1 by MD International A/, Tel. + 9 3, www.emd.dk, windpro@emd.dk 11--1 :3 /

ishek MD International A/ iels Jernes Vej 1 DK-9 Aalborg Ø + 93 11--1 :3/3..1 AsP interface - ind Data Analysis Calculation: AsP Interfaceind data: A - ite data for AsP - no long-term correction; Hub height: 7, ite coordinates UTM G Zone: 1 ast:.3 orth:.11.713 VTA V-1.M Hz 1.!O! ind statistics U ishek met mast 7-1 to - -, m.wws eibull Data : Roughness class 1 ector A- ind k- Frequency A- k- Frequency parameter speed parameter parameter parameter [m/s] [m/s] [%] [m/s] [%] 1,7 9,1,9 1, 1,3,9 1, 1 1,1,9,3 7, 9,9,17 7, 9,31,,31,9,1,33, 3 9,,,31,7,,313,, 7,1,,,1,33,3 9,,3 3,3, 9,1 3,7, 11,1 9,9 3,9 11,7 11,17 3, 1, 7 11, 1, 3,3 7,9 11, 3,7, 1,1 9,7 3,3, 1,9 3,3, 9 9,97,97 3,, 9,3 3,7, 1 1,1 9, 3,71 7, 9,3 3,17 7, 11 1,91 9,7,79 11,9 1,7,97 1,1 All 1,31 9,19,3 1, 1,1,799 1, eibull Distribution nergy Rose (kh/m²/year) 11 1 1. Frequency [%] 9 7 3 7 1. 1 1 1 1 1 ind speed [m/s] 1 : A=1,1;k=,799;Vmean=9, m/s : A=1,31;k=,3;Vmean=9, m/s Mean w ind speed (m/s) Frequency (%) 1 1, 1 7,, 3..1 by MD International A/, Tel. + 9 3, www.emd.dk, windpro@emd.dk 11--1 :3 /

ishek MD International A/ iels Jernes Vej 1 DK-9 Aalborg Ø + 93 11--1 :3/3..1 AsP interface - ind statistics info Calculation: AsP Interfaceind data: A - ite data for AsP - no long-term correction; Hub height: 7, Main data for wind statistic File C:\Users\pma\Documents\indPRO Data3.\amples\ishek\U ishek met mast 7-1 to - -, m.wws ame ishek met mast 7/1 to / -, m Country United tates ource UR Mast coordinates UTM G Zone: 1 ast:.3 orth:.11.713 Created 7-- dited -11-13 ectors 1 AsP version AsP -9 RVA11.dll 1,,, 13 Additional info for wind statistic ource data ishek met mast 7/1 to / Data from 1-7-1 Data to 3-- Measurement length 1, Months Recovery rate 1, % ffective measurement length 1, Months ote To get the most correct calculation results, wind statistics shall be calculated with the AM model and model parameters, as currently chosen in calculation. For AsP versions before 1., the model is unchanged, but thereafter more model changes affecting the wind statistic is seen. Likewise AsP CFD should always use AsP CFD calculated wind statistics. 3..1 by MD International A/, Tel. + 9 3, www.emd.dk, windpro@emd.dk 11--1 :3 / 7

ishek MD International A/ iels Jernes Vej 1 DK-9 Aalborg Ø + 93 11--1 :3/3..1 AsP interface - Map Calculation: AsP Interfaceind data: A - ite data for AsP - no long-term correction; Hub height: 7, 1 3 m Map: 1k Topo map, Print scale 1:7., Map center UTM G Zone: 1 ast:. orth:.11. ew TG ite Data Obstacle 3..1 by MD International A/, Tel. + 9 3, www.emd.dk, windpro@emd.dk 11--1 :3 /