Time Matters Webinar Slides

ALBANY • BARCELONA • BANGALORE August 2010 TIME MATTERS USING WINDNAVIGATOR REPORTS AND VIRTUAL METEOROLOGICAL MASTS TO EXPEDITE THE DEVELOPMENT PROCESS FOR SMALL AND DISTRIBUTED GENERATION PROJECTS AMBER TRENDELL DIRECTOR OF SALES AND MARKETING BRYON PHELPS PRODUCT COORDINATOR JOHNATHAN SCOFIELD TECHNICAL SALES REP 463 NEW KARNER ROAD | ALBANY, NY 12205 | awstruepower.com | info@awstruepower.com

Outline • Typical Wind Resource Assessment – Timeline & Cost • Understanding the Resource – Important Guidelines and Characteristics • Modeling Limitations – Where does uncertainty come from? – How do AWS Truepower’s models perform? • windNavigator Solutions – R Reports and Vi t l M t t d Virtual Meteorological M t (VMM ) l i l Masts (VMMs) – Which solution is right for you? – AWST Experiences ©2010 AWS Truepower, LLC

Total Time: Minimum of 1 YEAR Wind Study TOTAL Monthly TIME: Data g including: Tower 1 Year Tower Checks, MCP Siting Installation Validation, Analysis & EST TOTAL Memo and Energy COST: Reporting Analysis ~$60k ©2010 AWS Truepower, LLC

Power of the wind is function of cube of wind speed so… Doubling the speed = 8 times the available power • Speeds usually blow within the ramp portion of a turbine’s power curve • Modest errors in speed can equal p q large errors in power prediction ©2010 AWS Truepower, LLC

Model Type: different models consider different assumptions Mesoscale M l Microscale Mi l Full equations of motion Mass-conserving Mass conserving Dynamic Adjusts for local Terrain Considers 366 days from 15 yrs Adjusts for local Roughness 2.5 km resolution 200 m resolution ©2010 AWS Truepower, LLC

windNavigator - Accuracy Map-Based Energy Estimates: How Accurately Can Wind Plant Performance Be Estimated Without On-Site Wind Measurements? Comparison of map-based energy estimations with public info about existing wind plants – Standard error of 10.5% and mean bias of -3.8% found for 148 plant-years w/ data from 41 wind projects – Bias mainly due to underestimation in Northeast a d West as a y u de est at o o t east and est Conclusions: 1. Map based assessments using public data, AWS Truepower’s wind maps and modeled data sets provides a relatively high degree of confidence and statistical repeatability 2. 2 Can provide quick and economical production estimates ©2010 AWS Truepower, LLC

windNavigator - Accuracy Quantification and Applications of Wind Flow Modeling Uncertainty • Obtain quantitative estimates of the wind flow modeling uncertainty across a range of site conditions • Develop and validate a general framework for describing the spatial variation of wind flow modeling uncertainty Conclusions: 1. Spatial variation in the wind flow modeling uncertainty is an important factor to consider in designing wind projects 2. Topographic similarity – if extended to encompass land surface conditions as well as terrain – is a useful concept for understanding the spatial variation of wind flow modeling uncertainty p g y ©2010 AWS Truepower, LLC

Guidelines for choosing the right product for you: 1. Identify Site Characteristics – What is the terrain y complexity and land cover for your area of interest 2. Identify Energy Prediction Resolution – Focus on annual/seasonal trends or detailed monthly output 3. Identify How Many Turbines you’re interested in y y y comparing 4. Identify requirements for funding ©2010 AWS Truepower, LLC

Comparing the Costs Solution Timeline List Price* Typical Wind Assessment campaign Minimum 1 Year $60k Site Surveyor Report 20 min – 24 hrs $750 Site Analyst Report 20 min – 24 hrs $2k Site Analyst Pro Report 20 min – 24 hrs $3k *Prices listed for Reports are without any subscription to windNavigator. ©2010 AWS Truepower, LLC

ALBANY • BARCELONA • BANGALORE August 2010 QUESTIONS JOHNATHAN SCOFIELD TECHNICAL SALES REPRESENTATIVE 518-213-0044 EX 1086 EX. JSCOFIELD@AWSTRUEPOWER.COM 463 NEW KARNER ROAD | ALBANY, NY 12205 | awstruepower.com | info@awstruepower.com

Time Matters Webinar Slides

by AWS Truepower on Aug 30, 2010

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