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Financing Implications of Wind Measurement Technologies

This article discusses the financing implications of wind measurement technologies such as tower-based anemometry and remote sensing for energy assessment in wind projects. It delves into the use of anemometers and addresses issues related to tower flow effects and turbulence. Additionally, it explores the advantages and challenges of remote sensing technologies, highlighting the need for planning to maximize data value and support tower data. Technology issues, analysis challenges, and the importance of utilizing best practices are also covered, emphasizing the significance of proper data interpretation and planning in wind energy projects.

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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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