Location Matters Webinar Slides

ALBANY • BARCELONA • BANGALORE
AUGUST 2010

LOCATION MATTERS
GIS-BASED SITE SCREENING, MAP-BASED ASSESSMENTS AND MET TOWER SITING
WITH WINDNAVIGATOR® PROJECT DESIGN GRIDS AND OPENWIND® ENTERPRISE

MATT BAKER
MODELING GROUP MANAGER

BRYON PHELPS
PRODUCT COORDINATOR

AMBER TRENDELL
DIRECTOR OF SALES AND MARKETING

463 NEW KARNER ROAD | ALBANY, NY 12205
awstruepower.com | info@awstruepower.com

Outline

• Site Screening with GIS Tools
– Finding energetic sites and assessing competitive advantage
• Map-based Assessments
– Case Study
• Siting Meteorological Towers
– Using windNavigator® project design grids and openWind® Enterprise for
preliminary met tower siting
• Q&A

©2010 AWS Truepower, LLC

Locating Profitable and Energetic Sites:
High-Resolution Wind Maps and Data


Locating Profitable and Energetic Wind Sites
High-Resolution Wind Maps and Data
Basic GIS Analysis Examples
• Ranking of counties by amount of land
area in a given wind class
• Spatial selection of counties within
distance of proposed transmission
• Installed capacity vs. capacity factor

Getting A Closer Look with Site-Specific
Maps and Data
• Site-specific maps can provide an
indication of a site’s wind variability
• ‘Virtual Met Masts’ provide a modeled
annual time series dataset


Locating Profitable and
Energetic Sites:
GIS-based Site Screening


Site Screening Application and Inputs:
• Modeled wind speed directions/frequency distributions
• Validated wind speed map
• Major development obstacles
• Existing and proposed transmission line locations based on capacity and
distance to sites
• Additional optional inputs: cost of interconnection, cost per unit length of
transmission and road construction, bulk plant loss factors, turbine model
and power curve, desired plant capacity

Result: Map and tabular ranking of best potential wind sites including:
capacity factor, core and expanded area annual power output, annual
average wind speed, road network lengths, etc.


Site Screening Application Results


Tools for Getting the Most Out of Your Project Site

Public and private data is very useful in identifying potential obstacles
to development, helping understand land acquisition and footprint
needs, and aiding in the development of turbine layouts

Source Data
USGS (Seamless Data Server) 10m, 30m, 90m resolution elevation data
National Land Cover Dataset (NLCD) Land cover (also for surface roughness)
US Fish and Wildlife Service National Wetlands Inventory (NWI)
ESRI-served datasets Hydrography, landmarks, airports, etc.
US Census Bureau TIGER line files Roads, Municipal Boundaries
Local Municipality Land Parcel (cadastral) Boundaries
State Data Centers State-specific environmental areas
FEMA/NFIP Floodplain maps
FAA / DoD Preliminary Screening Tool Web-based preliminary site assessment
Ventyx, Platts Transmission Lines, Buried Pipeline, etc.


Locating Profitable and
Energetic Sites:
Competitive Analysis


Existing and Proposed Wind Farm Locations for Competitive Analysis
• AWEA and FAA turbine inventory data can be employed to conduct
competitive analysis, understand potential wake impacts on your
proposed project, and identify untapped wind resource

Background map data source: Google Earth
Wind Farm location source: AWEA, Federal Aviation Administration, AWS Truepower


Assessing the Energy Potential of
Prospective Sites:
Map-Based Energy Assessments


Assessing Energy Potential with Modeled Data
Case Study: Map-Based Energy Assessments

What: A method of estimating a plant’s energy production using: public
turbine location data, models, and hub heights for existing wind projects;
wind maps and modeled historical wind data; and region-specific loss
estimates. Data are combined in a standard wind farm design software
program to produce an estimated energy yield.

Why: Time-constrained projects or portfolio acquisitions, need for an energy
estimate in early stages of project development or need to understand
energy production of a competitor’s project when on-site wind
measurements are not yet available or not yet necessary.


Assessing the Energy Potential of Prospective Sites with Maps


Method
1. Develop Wind Resource Grid (WRG) for each project location using
modeled output derived from MesoMap®, a mesoscale-microscale
modeling system.
2. Calibrate the WRG to a fully-validated national 200 m horizontal-
resolution mean annual wind speed map
3. Estimate site’s turbulence intensity and air density using modeled data
4. Use energy modeling software and plant-specific power curves to
estimate turbine-by-turbine gross energy and wake losses, including
wake losses from adjacent wind farms identified from wind farm
inventory
5. Apply losses including: environmental, grid and turbine availability,
electrical, and turbine performance losses (based on experience with
other projects)




Method Performance and Validation

• Method validated against operational plant production data from 41 wind
farms spread across US, totaling 148 operational plant years

• Method validates well overall: Shows a slight underestimation of energy
production across the entire sample set
• Some areas are predicted better than others



• Midwest, Upper and Lower Plains, Texas all predicted well. Method has
some higher biases in Northeast and West


Tips for Getting the Most from
Your Project Site:
The Science and Art of Siting
Met Towers


Met Tower Siting: Understanding Local Wind Patterns

Wind flow is nearly perpendicular to
the ridgeline a large percentage of the
time and slopes are steep on either
side of the ridge


Met Tower Siting: Understanding Local Wind Patterns


Met Tower Siting with openWind® Enterprise and PDGs

• openWind’s Modeling Uncertainty Module, along with a Project Design
Grid (PDG), allow the user to identify areas of a project that would most
benefit from additional met towers based on wind flow, terrain complexity
and character of existing met towers.

• PDGs provide a validated snapshot of the
wind resource including:
• wind speed and power density
for each point on the map
• frequency and weibull parameters for
each direction sector


Project area with seven existing masts


Wind speeds highest along feature and to the east


openWind can help suggest new mast locations based on existing coverage


Certain masts are most representative of certain areas of the map


The mast that is most representative of any given spot can be a surprise


openWind chooses a new mast location in the area of highest uncertainty


AWS Truepower Solutions:
Which solution is right for you?


Goal Challenge(s) AWST Solution
Identify multiple promising Limited in-house GIS
GIS-based Site
sites for new development capabilities, schedule and
Screening
opportunities budget
Understand the No on site data, no intel on
Map-based energy
competitiveness of your competition’s potential
assessment
project advantages
Conduct MCP analysis on Poor quality long-term
Long Term VMM
existing met tower data reference station data
openWind®
Enterprise
Reduce uncertainty of wind Complex site, limited Uncertainty
resource assessment schedule and budget Module +
windNavigator®
PDG


ALBANY • BARCELONA • BANGALORE August 2010

QUESTIONS

AMBER TRENDELL
DIRECTOR OF SALES AND MARKETING
518-213-0044 EX. 1020
ATRENDELL@AWSTRUEPOWER.COM

463 NEW KARNER ROAD | ALBANY, NY 12205
awstruepower.com | info@awstruepower.com

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