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Philippines Wind Resource Maps and Data

In 2014, under the Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) program with U.S. Agency for International Development (USAID), NREL's National Wind Technology Center and Geospatial Data Science Team applied modern approaches to update previous estimates to support the development of wind energy potential in the Philippines. The new assessment includes more economically viable wind potential closer to loads and infrastructure to promote wind development in the region by providing wind resource information that informs and attracts renewable investors and developers to the region. This assessment also expands the current data set from 30-meter (m) to 30m, 50m, 80m, 100m, 140m, and 200m, and offers the latest generation technology for a physically-based model, numerical weather prediction, long-term representative with detailed information about frequency distribution, shear/wind direction, temperature, air density and temporal information. The resource assessment will be ongoing and the products developed will include national and regional resource potential maps, siting studies, and access to the measurement data.

The 1-kilometer wind resource assessment grid was based on surface wind data, coastal marine area data, and upper-air data, where applicable. The modeling assumptions had a scope of one Typical Meteorological Year (TMY) with forced sampling from a 15-year period using Day 1 TMY from Year 1 and Day 2 TMY from Year 2 and so on. In data-sparse areas, three qualitative indicators of wind speed or power were used when applicable: topographic/meteorological indicators (e.g. gorges, mountain summits, sheltered valleys); wind deformed vegetation; and eolian landforms (e.g. playas, sand dunes). The data was evaluated at a regional level to produce 12 regional wind resource assessments; the regional assessments were then incorporated into the national wind resource assessment. The modeling specifications, included using the Weather Research and Forecasting model (WRF 3.5) with inputs from the European Centre for Medium-Range Weather Forecasts (ERA-Interim Reanalysis) for boundary conditions and U.S. Geological Survey for terrain data.

Philippines Wind Resource Data

Geo-referenced Wind Resource & Climatology at each height of 30m, 50m, 80m, 100m, 140m, and 200m:

  • Annual mean wind speed
  • Annual mean power density
  • Annual mean temperature
  • Annual mean air density
  • Annual Weibull a and k
  • Annual sectorized wind speed count (16 sectors)
  • Annual wind speed histogram (30 bins)
  • Monthly mean wind speed (for 12 months)
  • Monthly mean power density (for 12 months)
  • Monthly mean temperature (for 12 months)
  • Monthly mean air density (for 12 months)
  • Monthly Weibull a and k (for 12 months)
  • Monthly sectorized wind speed count (16 sectors)
  • Monthly wind speed histogram (30 bins)
  • Hourly mean wind speed (for hours 0 to 23)
  • Hourly mean power density (for hours 0 to 23)
  • Hourly mean temperature (for hours 0 to 23)
  • Hourly mean air density (for hours 0 to 23)
  • Hourly Weibull a and k (for hours 0 to 23)

Renewable Energy Data Explorer Tool

RE Explorer provides renewable energy data, analytical tools, and technical assistance to developers, policymakers, and decision makers in the Philippines and developing countries. RE Explorer enables users to make meaningful decisions that support low-emission development and ultimately reduce greenhouse gas emissions.

The RE Data Explorer is the RE Explorer's flagship geospatial analysis tool for renewable energy development. Developed by NREL and supported by the U.S. Agency for International Development, the RE Data Explorer performs visualization analysis of renewable energy potential under user-defined scenarios and can inform prospecting, integrated planning, and policymaking to accelerate renewable energy deployment.


Please contact Mark Jacobson for more information about NREL's work in the Philippines.

Additional Resources

Philippines Wind Viewer Tutorial 

Learn how to navigate, display, query and download Philippines data in the Wind Prospector.