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Financing Implications of Wind Measurement Technologies

Financing Implications of Wind Measurement Technologies. Tony Rogers DNV Global Energy Concepts Inc. 116 John Street Lowell, MA 01852 USA 978-275-3800 Tony.Rogers@dnv.com 1/17/2009. www.globaenergyconcepts.com www.dnv.com. DNV-Global Energy Concepts.

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Financing Implications of Wind Measurement Technologies

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  1. Financing Implications of Wind Measurement Technologies Tony Rogers DNV Global Energy Concepts Inc. 116 John Street Lowell, MA 01852 USA 978-275-3800 Tony.Rogers@dnv.com 1/17/2009 www.globaenergyconcepts.com www.dnv.com

  2. DNV-Global Energy Concepts • 20 years of wind energy consulting • Data collection and analysis • Energy analysis • Project due diligence • Turbine engineering • Feasibility studies • 110 people in Seattle, 15 in Lowell • Part of DNV • Turbine and wind project certification

  3. Wind Measurement Technologies • Tower based anemometry • Tubular towers (to 60 m) • Lattice towers (to 100+ m) • Remote Sensing • Sodars • Lidars

  4. Anemometers • Very familiar technology • The de-facto standard for energy assessments • Issues • Tower flow effects • Turbulence and vertical flow effects

  5. Financing with Anemometers • Banks are familiar with anemometers • Banks rely on energy analyst’s judgment • Judgments based on data quality, quantity, measurement heights, number of towers, project size, terrain, loss estimates… • No questions about use of anemometers

  6. Remote Sensing • Advantages • Easily portable • Measurements to turbine hub heights • Issues • Data recovery decreases with height • Siting issues • Complex flow, echo and ambient noise • Shear effects • Vector vs. scalar averages

  7. Financing with Remote Sensing • Banks are unfamiliar with RS • Banks rely on analyst’s judgment • Progress on technological and analytical issues • Planning is needed to maximize value of data • Used in support of tower data

  8. Technology Issues Related to Remote Sensing • Maturing technology • Software/hardware changes • Manufacturing consistency, robustness • New vendors, new products • Limited performance data base • Siting Issues • Echoes, ground clutter • Complex flow

  9. Analysis Issues Related to Remote Sensing • Lack of familiarity with technology • Performance • Magnitude of possible biases • Measurement uncertainty • Lack of understanding how to use data • Value, use of short-term data sets

  10. Remote Sensing for Energy Assessments • Need a Plan! • Address largest uncertainties • Best practices siting • Nearby tower! • Verification against a tower • Need to capture seasonal changes

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