Wind Resource Assessment Basics 1. The Initial Assessment This step utilizes existing data from state wind resource maps, nearby publicly available wind resource data, and other weather measurement sites to make rough projections about the financials of your project.
History[ edit ] Modern wind resource assessments have been conducted since the first wind farms were developed in the late s. The methods used were pioneered by developers and researchers in Denmarkwhere the modern wind power industry first developed.
Wind resource maps[ edit ] Wind resource map for the Philippines, from the Global Wind Atlas High resolution mapping of wind power resource potential has traditionally been carried out at the country level by government or research agencies, in part due to the complexity of the process and the intensive computing requirements involved.
The Global Wind Atlas was relaunched in November version 2. Another similar international example is the European Wind Atlaswhich is in the process of being updated under the New European Wind Atlas project funded by the European Union. However, these country wind resource maps have been largely superseded by the Global Wind Atlas in terms of data quality, methodology, and output resolution.
The above global and country mapping outputs, and many others, are also available via the Global Atlas for Renewable Energy  developed by the International Renewable Energy Agency IRENAwhich brings together publicly available GIS data on wind and other renewable energy resources effort.
Wind prospecting can begin with the use of such maps, but the lack of accuracy and fine detail make them useful only for preliminary selection of sites for collecting wind speed data. In Wind resource assessment to 'static' wind resource atlases which average estimates of wind speed and power density across multiple years, tools such as Renewables.
Meteorological towers equipped with anemometerswind vanesand sometimes temperaturepressureand relative humidity sensors are installed. Data from these towers must be recorded for at least one year to calculate an annually representative wind speed frequency distribution.
Since onsite measurements are usually only available for a short period, data is also collected from nearby long-term reference stations usually at airports. This data is used to adjust the onsite measured data so that the mean wind speeds are representative of a long-term period for which onsite measurements are not available.
Versions of these maps can be seen and used with software applications such as windNavigator. Calculations[ edit ] The following calculations are needed to accurately estimate the energy production of a proposed wind farm project: Correlations between onsite meteorological towers: Multiple meteorological towers are usually installed on large wind farm sites.
For each tower, there will be periods of time where data is missing but has been recorded at another onsite tower. Least squares linear regressions and other, more wind-specific regression methods can be used to fill in the missing data.
These correlations are more accurate if the towers are located near each other a few km distancethe sensors on the different towers are of the same type, and are mounted at the same height above the ground.
Correlations between long term weather stations and onsite meteorological towers: Therefore, wind speed data from nearby longer term weather stations usually located at airports are used to adjust the onsite data.
Least squares linear regressions are usually used, although several other methods exist as well. Vertical shear to extrapolate measured wind speeds to turbine hub height: The hub heights of modern wind turbines are usually 80 m or greater, but developers are often reluctant to install towers taller than 60m due to the need for FAA permitting in the US, and costs.
The power law and log law vertical shear profiles are the most common methods of extrapolating measured wind speed to hub height.
Wind flow modeling to extrapolate wind speeds across a site: Wind speeds can vary considerably across a wind farm site if the terrain is complex hilly or there are changes in roughness the height of vegetation or buildings.
Wind flow modeling software, based on either the traditional WAsP linear approach or the newer CFD approach, is used to calculate these variations in wind speed.
Energy production using a wind turbine manufacturer's power curve: When the long term hub height wind speeds have been calculated, the manufacturer's power curve is used to calculate the gross electrical energy production of each turbine in the wind farm.
Application of energy loss factors: To calculate the net energy production of a wind farm, the following loss factors are applied to the gross energy production:A practical, authoritative guide to the assessment of wind resources for utility-scale wind projects—authored by a team of experts from a leading renewable energy consultancy The successful development of wind energy projects depends on an accurate assessment of where, how often, and how strongly the wind blows/5(3).
For the last two decades, the Wind Energy Center (formerly the Renewable Energy Research Laboratory) has been the major research institution in Massachusetts and New England characterizing wind energy resources across the region.
Page i Wind Resource Assessment Handbook FOREWORD The Wind Resource Assessment Handbook was developed under National Renewable Energy Laboratory (NREL) Subcontract No.
TAT NREL is a national laboratory of the U.S. Wind resource assessment is the process by which wind power developers estimate the future energy production of a wind farm. Accurate wind resource assessments are crucial to the successful development of wind farms. Wind Resource Assessment.
Wind Resource Assessment (WRA) is the systematic collection of wind data at a potential wind farm site. Measurements of a variety of meteorological parameters are typically taken over the course of several years using a combination of met towers and Lidar.
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