Embed Size (px)
Citation preview
ALBANY • BARCELONA • BANGALORE February 2012
An integrated solution
463 NEW KARNER ROAD | ALBANY, NY 12205awstruepower.com | [email protected]
Level 15, Concorde Tower, UB City 1 Vittal Mallya Road | Bangalore, 560001, [email protected] |awstruepower.com
AWS TruepowerIndustry Leader & Consultant for 50,000+ MWProject roles on six continents and in over 80 countriesE bli h d i 1983 100 lEstablished in 1983; 100+ employees Global presence
Offices in Bangalore India; Albany New York; and Barcelona SpainOffices in Bangalore, India; Albany, New York; and Barcelona, SpainSatellite offices in Boston, Denver, Mexico and Peru
AlbanyNew York, USA Barcelona
Spain
BangaloreIndia
Agenda
Today’s Discussion:
How openWind Enterprise can add value to your business
‐ Background and validation
‐WindMap vs. WasP
The Deep Array Wake Loss‐ The Deep Array Wake Loss
‐ Cost of Energy Optimizer
‐ Time Series Energy Capture
‐ Effective Turbulence Intensity
©2010 AWS Truepower, LLC
The openWind Story
• AWS Truepower team with wind project developer Nick Robinson with the goal of developing an entirely new type of wind farm g p g y ypdesign and optimization software.
• Nick and AWS Truepower set out to design a product that would bl t k ffi i tl d ff ti l d t tenable users to work more efficiently and effectively, and to create
an environment that would stimulate innovation across the industry.• And so openWind® Community was born.And so openWind Community was born.
©2010 AWS Truepower, LLC
The openWind Story
Then we added innovative business‐grade tools for the serious, g ,sophisticated customer. The result: openWind® Enterprise Edition
©2010 AWS Truepower, LLC
openWind® Enterprise Features
openWind® Community openWind® Enterprise
Combines all the features of the Community edition plus business grade tools
Validated Energy Capture Cost of Energy Optimisation
Standard Wake Models: Park, Modified Park, Eddy Viscosity
Deep Array Wake Model (DAWM)
Layout Optimization Time Series Energy Capture (8760s 12x24s)Layout Optimization Time‐Series Energy Capture (8760s, 12x24s)
ISO 9613 Noise Model Effective Turbulence Intensity (IEC61400‐1 Ed3 Annex D)
Zones of Visual Impact Model Turbine Scheduling ( i Sh d li k il )(Noise, Bat, Shadow‐Flicker Curtailments)
Optimization Respecting Noise Uncertainty Module
Mass‐conservation Wind Flow Model (WindMap) Non‐Ideal Performance Losses
openWind Query System Directional Curtailment Inflow Angle TurbulenceopenWind Query System Directional Curtailment, Inflow Angle, Turbulence
Layer Logic and Layer Validity (buffer setting) Authentication of Reports
GPS Integration Gridded Turbine Layouts
Cross‐platform(Runs on Windows/Linux/Unix, 32bit and 64 bit)
Siting and Optimization for Large Constrained Sites
Pervasive Multi‐Threading Shadow Flicker
©2010 AWS Truepower, LLC
Wind‐Project Design & Optimisation• Wind project design is a complex, multi‐faceted
optimization challenge, balancing among other thingsthings• Energy production potential• Land constraints
E i t l i t• Environmental impacts• Turbine characteristics• Balance of plant costs (access roads, cables,
th i f t t )other infrastructure)• Popular commercial design software packages
work well for what they do, but• Have limited flexibility and are a “black box”• Have limited flexibility and are a “black box”• Were developed before modern
geographical information systems (GIS) and architecturesarchitectures
• Focus on maximizing expected energy production
openWind Enterprise Validation
Model‐to‐Model A comprehensive validation with 20 wind projects openWind output compared to a leading commercial programmes
d h d i hi Gross production matched within 0.1%Model‐to‐Observed
Estimated production for 44 plant years at 11 plants Estimated production for 44 plant years at 11 plants Compared results with actual output Mean error 2.7% ‐ within uncertainty of the data Mean error 2.7% within uncertainty of the data
©2010 AWS Truepower, LLC
openWind Validation0 10%
• Deviation in percent between openWind
0.00%
0.05%
0.10%
1 3 5 7 9 11 13 15 17(oW ‐WF)
between openWind and GH WindFarmer, gross and net (with ‐0.15%
‐0.10%
‐0.05% 1 3 5 7 9 11 13 15 17
ent D
eviatio
n
Gross
Net
Modified Park) model
F
‐0.25%
‐0.20%
Perce
Plant Number
• Frequency distribution of predicted and
0.65 0.725 0.8 0.875 0.95 1.025 1.1 1.175 1.25
6
7
8
7
8
9
45 farm years0 5 %
0.65 0.725 0.8 0.875 0.95 1.025 1.1 1.175 1.25
6
7
8
7
8
9
45 farm years0 5 %observed production
ratios for 45 years of data at 11 plants 3
4
5
6
3
4
5
6
Win
d Fa
rm Y
ears
~ ‐0.5 % gap~ 7.8% std. err.
3
4
5
6
3
4
5
6
Win
d Fa
rm Y
ears
~ ‐0.5 % gap~ 7.8% std. err.
data at 11 plants
0
1
2
0
1
2
3
0.65 0.7 0.75 0.8 0.85 0.9 0.95 1.0 1.05 1.1 1.15 1.2 1.25
W
0
1
2
0
1
2
3
0.65 0.7 0.75 0.8 0.85 0.9 0.95 1.0 1.05 1.1 1.15 1.2 1.25
W
Actual / Predicted production ratioActual / Predicted production ratio
OVERVIEWOFFEATURES
©2010 AWS Truepower, LLC
openWind Enterprise: All‐in‐one SolutionWindMap vs. WAsP• WindMap included in openWind
Si il i d t t i• Similar in moderate terrain.
• WindMap may be a little better in complex terrain
• WAsP = “Linear Jackson Hunt”
Wi dM “M i t t d l”• WindMap = “Mass‐consistent model”
Download Technical Paper: http://www.awsopenwind.org/downloads/documentation/AWST‐WindFlowModelingPerformance_06Feb12.pdf
Cost of Energy Optimizer• Minimize the cost of energy – not just maximize
production
• Develop a custom plant cost model• Develop a custom plant cost model
• Basic financing assumptions
• Periodic and one‐time costs
• Design and cost access roads and cabling networks
• Define maximum gradient, minimum turn radius
• Upgrade existing roads where cost‐effective• Include cutting and filling costs• Barriers and costs to cross water and protected areas
• Define cable types and automatically divide layout into circuits
i d i l l i• Find optimal plant size
• Identify and eliminate high‐cost turbines
• Create realistic, buildable layouts
Deep Array Wake Loss Model (DAWM)
St d d k d l• Standard wake models assume turbines do not modify the ambient wind flow: it’s a one‐way process
• Evidence suggests large arrays can reduce the availablecan reduce the available energy in the boundary layer: it’s a two‐way process
Horns Rev Offshore Wind Project, Denmark
DAWM Validation (typical)
Nysted
DAWM / Eddy Viscosity (EV) EVDAWM / Eddy Viscosity (EV) EV
DAWM Validation (typical)Onshore Project 1
• DAWM tested at two offshore projects and three onshore projects
DAWM/EV EV
• Both offshore projects demonstrate a deep array effect• Onshore projects demonstrate different deep array effects
Time‐Series Energy Capture
• Time‐series energy capture re‐imagined from first principles (not a lookup table)
• Model effects of diurnal and seasonal variations in• Turbulence Intensity (wake effects,
suitability)
• Air density (energy production and wake l )losses)
• Temperature (high‐low temperature shutdown losses)
• Produce time‐series of net‐energy over any period• 12x24s, 8760s, 52560s, ……
• Customisable reporting per turbine and/or per sitep g p p• No need for TAB files – data is binned within openWind
• Frequency table, turbulence intensity table, sigma‐sigma table
• Assess effects of temporal curtailmentsAssess effects of temporal curtailments
Effective Turbulence Intensity
• Fatigue calculation taking into account turbulence from neighbouring turbines
• Implementation of Annex D of IEC61400‐1 (edition 3, amended)
• Assesses fatigue loading on turbineAssesses fatigue loading on turbine components
• Takes account of direct wakes plus wind farm turbulence via the large wind‐farmfarm turbulence via the large wind‐farm correction
• Uses “sigma‐sigma” table from met mastU ifi d W hl f• User‐specified Wohler exponents for different materials
• Outputs effective TI per turbine for each wind speed
ResourcesThe openWind Enterprise resources discussed today’s webinar are available online at: www.awstruepower.com/solutions/products/openwind
• Theory and Validationy
• DAWM White Paper
• WindMap vs. WasP
©2010 AWS Truepower, LLC©2010 AWS Truepower, LLC
ALBANY • BARCELONA • BANGALORE
Questions?
Arvinder Singh, India Business Head+91‐99450‐[email protected]
Nick Robinson, Author and Originator [email protected]
463 NEW KARNER ROAD | ALBANY, NY 12205awstruepower.com | [email protected]
Level 15, Concorde Tower, UB City 1 Vittal Mallya Road | Bangalore, 560001, [email protected] |awstruepower.com
