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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
Based on atmospheric boundary layer
theory and uses intricate and proprietary
mathematical/ numerical techniques to
predict energy yield with greater accuracy.
Why WinDForcer?
•Dependency of conventional WRA
models on other packages for generating
input files?
•Final Output depend upon resolution of
geo data
•High Processing time of many hours for
creation of Resource Grid?
•Highly cumbersome?
…….. WinDForcer is the NextGen
solution to WRA
Crisp answers which makes it a
Go 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
“
Our Unique Value Proposition
Why WinDForcer?
Terrain
Classifying
capability § The package has the capability to recognize site
terrain and to classify it as flat, moderately complex and
complex. The model selects an appropriate route to
computation.
1
Integrated
Software
Architecture § 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.
2
Data
Synthesis
§ 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.
3
Comprehensive
&
Customizable
reports § The program generates varied kinds outputs in CSV and
XL format including a comprehensive report in PDF.
4
User Friendly
Interface § WinDForcer has a user friendly interface with interesting
visualization and graphics.
§ The software can be customized as per the client, if
requested.
5
Module of WinDForcer :
AEP Module with Uncertainty
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
Report outlook
Gross and Net PLF
Google Site Map
Wind Speed Profile
Uncertainty Values
Wind Rose
Monthly Generation
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
“
Our results are close to realistic
figures
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
“
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…
Marc
h
0.00
0.20
0.40
0.60
0.80
1.00
April
May
June
July
August
Septe
mber
Octo
ber
Novem
ber
Decem
ber
January
Febru
ary
Marc
h 0.00
0.20
0.40
0.60
0.80
1.00
April
May
June
July
August
Septe
mber
Octo
ber
Novem
ber
Decem
ber
January
Febru
ary
Marc
h
0.00 0.20 0.40 0.60 0.80 1.00
April
May
June
July
August
Septe
…
Octo
ber
Novem
…
Decem
…
January
Febru
ary
Marc
h 0.00
0.20 0.40 0.60 0.80 1.00
April
May
June
July
August
Septe
…
Octo
ber
Novem
…
Decem
…
January
Febru
ary
Marc
h
Site Name S018
State RJ
Power Curve S-88
WinDForcer 19.32%
Actual Generation 17.90%
“
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
Septe
mber
Octo
ber
Novem
ber
Decem
ber
January
Febru
ary
Marc
h
0.00
0.20
0.40
0.60
0.80
1.00
April
May
June
July
August
Septe
mber
Octo
ber
Novem
ber
Decem
ber
January
Febru
ary
Marc
h 0.00
0.20
0.40
0.60
0.80
1.00
April
May
June
July
August
Septe
mber
Octo
ber
Novem
ber
Decem
ber
January
Febru
ary
Marc
h
0.00 0.20 0.40 0.60 0.80 1.00
April
May
June
July
August
Septe
m…
Octo
ber
Novem
ber
Decem
ber
January
Febru
ary
Marc
h 0.00
0.20 0.40 0.60 0.80 1.00
April
May
June
July
August
Septe
m…
Octo
ber
Novem
ber
Decem
ber
January
Febru
ary
Marc
h 0.00
0.20 0.40 0.60 0.80 1.00
April
May
June
July
August
Septe
mber
Octo
ber
Novem
ber
Decem
ber
January
Febru
ary
Marc
h
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
orography √ ×
“
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 √ √
“
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 √ √
“ 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 √ ×
“ 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) √ ×
“
Output
options
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: [email protected]
Web: www.windforce-management.com
THANK YOU
WinDForce Management Services Pvt. Ltd.