A Product by
WinDForce Management Services Pvt Ltd.
A Product by WinDForce Management Services Pvt Ltd. A realistic, - - PowerPoint PPT Presentation
A Product by WinDForce Management Services Pvt Ltd. A realistic, integrated and independent wind simulation Package Highlights An integrated system used for calculating the Annual Energy Production (AEP) of a Wind Turbine/ Windfarm
A Product by
WinDForce Management Services Pvt Ltd.
Highlights
§An integrated system used for calculating the Annual Energy Production (AEP) of a Wind Turbine/ Windfarm Based on atmospheric boundary layer theory and uses intricate and proprietary mathematical/ numerical techniques to predict energy yield with greater accuracy.
Why WinDForcer?
models on other packages for generating input files?
geo data
creation of Resource Grid?
…….. WinDForcer is the NextGen
solution to WRA
Crisp answers which makes it a
Minimized runtime
No dependency on other softwares
Easily accessible globally
Report Generation at single click
Flexibility and client customization
Ease in data handling and data modeling
Realistic Assessment
Varied outputs
Comprehensive & Customizable Reports
Key Features
Web based application Can be remotely accessed No other software or platform required User friendly computational interface Efficient computing leading to run time of up to 30 minutes In-built database on WTG Detects site complexity and chooses appropriate computational methods accordingly Examines Missing/absurd/discontinuous values and produces data summary Follows holistic approach while treating the measured wind speed data for appropriate wind shear value. Adjust wind flow at individual turbine locations Conduct Uncertainty analysis
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Our Unique Value Proposition
§ The package has the capability to recognize site terrain and to classify it as flat, moderately complex and
computation.
§ Conventional software packages highly cumbersome § Conventional softwares require tab files and multitude of programs to run.Large project may require waiting period of for 12 hours or more for the resource grid to be prepared. § WinDForcer is an integrated program that gives results within 15 minutes of inputting the data.
§ We all know that wind speed data received from a measurement can be either has erroneous data or missing data. § Under most conditions, WinDForcer is able to fill the missing data, through the analysis of the time series.
§ The program generates varied kinds outputs in CSV and XL format including a comprehensive report in PDF.
§ WinDForcer has a user friendly interface with interesting visualization and graphics. § The software can be customized as per the client, if requested.
Product list of the Module
Provide Annual wind speed of each WTGs Hourly mean wind speed values of each month Wind shear profile of each month Hourly values of energy generation for each WTGs. Peak energy generation values of each WTGs Inter-turbine distances, elevation, wind speed & wind roses graphs etc. Uncertainty on wide range of component i.e. historical wind speed, anemometry, topographic etc. Gross AEP and Net AEP Net PLF - P50, P75, P90 and P95 values
Framework
Create Root Project and sub-root project (if required) Upload WTGs details Detects whether site is flat or complex and accordingly select appropriate computational method Calculate distance between each WTGs The system automatically calculate elevation of respective WTGs and gives a GUI of the site Upload wind mast details Upload data at two sensors height (m) Annual Energy Calculation and Uncertainty Analysis Report Generation The system automatically calculate elevation of respective WTGs and gives a GUI of the site
Gross and Net PLF
Google Site Map
What derives accurate wind predictions ?
Accurate wind predictions Reduces Uncertainty and risks Bankable wind report
Wind Resource Assessment
More accurate wind predictions leads to less uncertainty and risks A reduction of the error margin up to 7-10 % (compared to 12-15 % for P90), can reduce a project’s cost of funds by 0.5-0.75% (The Economist 2010). This reduction in cost of funds would lead to an even higher impact on ROE
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Comparative analysis between Generation from WinDForcer v/s other conventional models
Non-complex Terrain
Site Name S001 S002 S003 S004
State
MP MP MP MP
Power Curve
IWL-2.0 S-97 V-87 G-97
Conventional Models
25.4% 28.9% 27.8% 41.0%
WinDForcer
19.2% 29.7% 27.9% 36.8%
Site Name S005 S006 S007
State GJ GJ GJ Power Curve V-87 V-87 E-53 Conventional Models 25.2% 30.9% 23.7% WinDForcer 25.4% 32.7% 26.5%
Site Name S008
State TN Power Curve S-97 Conventional Models 33.6% WinDForcer 33.5%
Comparative analysis between Generation from WinDForcer v/s other conventional models
Complex Terrain
Site Name S009 S010 S011 S012
State
MH MH MH MH
Power Curve
K-110 K-110 LetWinD-77 IWL-2.0
Conventional Models
28.5% 27.3% 36.7% 27.0%
WinDForcer
23.8% 23.9% 32.6% 25.8%
Site Name S013 S014
State
KR KR
Power Curve
S-97 S-97
Conventional Models
35.5% 42.0%
WinDForcer
30.1% 41.9%
“ Site Name S015 S016 S017 S018 S019 S020 State
RJ RJ RJ RJ RJ RJ
Power Curve
S-66 S-66 S-66 S-88 RRB-600 S-66
WinDForcer
19.19% 15.80% 19.61% 19.32% 21.95% 20.79%
Actual Generation
19.34% 17.07% 19.88% 17.90% 20.50% 20.15%
Test : A case of Rajasthan, India Actual v/s Energy Generation from WinDForcer
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Test Case : Actual Generation v/s Energy Generation from WinDForcer Monthly generation profile of S018 (each WTG)
Monthly Energy Generation (GWhr)
Actual Generation Energy Generation from WinDForcer
0.00 0.20 0.40 0.60 0.80 1.00
April May June July Aug… Sep… Oct… Nov… Dec… Jan… Feb… March
0.00 0.20 0.40 0.60 0.80 1.00
April May June July August September October November December January February March
0.00 0.20 0.40 0.60 0.80 1.00
April May June July August September October November December January February March
0.00 0.20 0.40 0.60 0.80 1.00
April May June July August Septe… October Novem… Decem… January February March
0.00 0.20 0.40 0.60 0.80 1.00
April May June July August Septe… October Novem… Decem… January February March
Site Name S018 State RJ Power Curve S-88 WinDForcer 19.32% Actual Generation 17.90%
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Test Case : Actual Generation v/s Energy Generation from WinDForcer Monthly generation profile of S018 (each WTG)
0.00 0.20 0.40 0.60 0.80 1.00 April May June July August September October November December January February March
0.00 0.20 0.40 0.60 0.80 1.00
April May June July August September October November December January February March 0.00 0.20 0.40 0.60 0.80 1.00 April May June July August September October November December January February March
0.00 0.20 0.40 0.60 0.80 1.00
April May June July August Septem… October November December January February March
0.00 0.20 0.40 0.60 0.80 1.00
April May June July August Septem… October November December January February March
0.00 0.20 0.40 0.60 0.80 1.00
April May June July August September October November December January February March
Monthly Energy Generation (GWhr)
Actual Generation Energy Generation from WinDForcer
Site was planned with 1.65 MW WTG, the annual generation projected by various softwares was 49 GWhr/year corresponding to PLF of 34%
A wind-farm problem resolved !!
After the WPP was implemented, it was found it was giving a PLF of 22-23%.
WinDForcer reassessed the site, the generation is predicted with PLF of 24.12% at P50 which is very close to actual PLF.
Post Implementation- Energy Generation
“ Features Sub-features WinDForcer Other conventional models
System architecture
Cloud based and web application
√ ×
No Dependency on other software's/platform
√ ×
Greater flexibility and Client customization
√ ×
Efficient runtime of 30minutes for one project
√ ×
Database Management System
Buit-in database of Wind turbines and Power curves
√ √
Built-in database of digital elevation model and
√ ×
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Data Handling
Consider multiple turbine types and height × √ Define wind sector √ √ Adjust wind flow at individual turbine locations √ √ Display ground heights, terrain contours, slopes and background images √ √
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Data Modeling
Examine Missing/absurd/discontinous values √ × Follows holisitc approach while treating absurd/missing values i.e. fill data with preceding and suceeding years, treat with appropriate wind shear value √ × Correlate overlapping time series data √ √ Employ directional correlation plots and statistics √ √
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Optimise your windfarm
Optimise layout for minimum turbine spacing critieria
× √
Optimise for energy yield
× √
Know how the results are calculated
Provide unrivalled model transparency
√ ×
See how the inputs are used to calculate the results
√ ×
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Energy Production
Uses site corrected power curve based on elevation √ × Create wind roses and frequency distributions √ √ Consider the effect of turbulence and terrain √ √ Employ Eddy Viscosity and modified PARK wake models √ √ Provide Uncertanity on each parameters (i.e. Historical wind speed, anemometry, topographic) √ √ Conduct Uncertainity analysis (P50, P75, P90 and P95) √ ×
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Output
Annual wind speed of each turbines √ √ Provide wind shear exponent for every hour √ × Provide mean dinural profile of windspeed for each month √ × Provide Hourly mean wind speed for windfarm √ × Provides hourly values of power generation for each turbine √ × Provides peak power generation of each turbine √ × Produce Gross and Net AEP √ √ Produce Uncertainity values on wind speed and energy production (both) √ × Generate project assignment parameters √ × Generate windfarm performance parameters and comprhensive report √ ×
WinDForce Management Services Pvt. Ltd. 11th Floor, Vatika Professional Point, Golf Course Ext. Road, Sector - 66, Haryana - 122002, India Mobile: 00-91-9650581122 E-mail: sankalp@windforce-management.com Web: www.windforce-management.com
WinDForce Management Services Pvt. Ltd.