Abstract

The literature typically considers constant annual average air density when computing the wind energy potential of a given location. In this work, the recent reanalysis ERA5 is used to obtain global seasonal estimates of wind energy production that include seasonally varying air density. Thus, errors due to the use of a constant air density are quantified. First, seasonal air density changes are studied at the global scale. Then, wind power density errors due to seasonal air density changes are computed. Finally, winter and summer energy production errors due to neglecting the changes in air density are computed by implementing the power curve of the National Renewable Energy Laboratorys 5 MW turbine. Results show relevant deviations for three variables (air density, wind power density, and energy production), mainly in the middle-high latitudes (Hudson Bay, Siberia, Patagonia, Australia, etc.). Locations with variations from −6% to 6% are identified from summers to winters in the Northern Hemisphere. Additionally, simulations with the aeroelastic code FAST for the studied turbine show that instantaneous power production can be affected by greater than 20% below the rated wind speed if a day with realistically high or low air density values is compared for the same turbulent wind speed.

Highlights

  • Wind energy potential estimation is often based mainly on wind speed and the power curve of the turbine, and only marginally on the temporal and spatial variations in air density

  • The objective of this paper is to study the global structure of seasonal air density changes and the manner in which they affect the wind energy potential worldwide, and to compare these results with the annual average corresponding to every grid point

  • Air density and wind speed at hub height The results shown in this paper are computed to understand the effects of variability in air density on wind power density (WPD) and consequent changes in the Seasonal Energy Production (SEP) of the turbine

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Summary

Introduction

Wind energy potential estimation is often based mainly on wind speed and the power curve of the turbine, and only marginally on the temporal and spatial variations in air density. The annual average air density of the site is considered as a function of height when applying well-known models such as the standard atmospheric profile to obtain the mean pressure and temperature at that height and, as a result, the constant air density for that site. This may involve a complete redesign of the blade for wind turbines located at high altitudes and permanent functioning with air densities lower than the standard sea-level value [1,2]. The use of constant air density is common for different types of estimation methods, namely

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