Siting handbook for small wind energy conversion systems

Statistical Modelling of Botswana’s Monthly Maximum Wind Speed using a Four-Parameter Kappa Distribution

“…The growth curve for Tsabong has the highest wind speed quantiles, ranging between 18.38 and 21.69 m s −1 , while Gantsi has the growth curve with the lowest wind speed quantiles, ranging between13.80 and 16.82 m s −1 . Variations in wind speeds (hence variations in growth curves) can be attributed to variations in the local conditions or surroundings (e.g., buildings, vegetation and other topographical features) of each station (Wegley et al, 1980;Larsson, 1986;Oke, 1987;Moses, 2007). Variations in wind speeds can also be attributed to weather systems that influence the country's weather.…”

Design, characteristic analysis of PM wind generator based on SMC material for small direct-drive wind energy conversion system

“…According to the recent reports from manufacturers of SWECS, unsuitable sitting of SWECS is a significant challenge today, which is the main dissatisfaction of all SWECS owners, while a big potential exist behind it such as small investment for locating the best available site can easily yield savings of thousands dollars over the lifetime of the systems [21]. Despite to this fact, the roadmap of this research paper has been using the new materials such a SMC-5P X-SOMALOY700HR with extraordinary on physical properties such as density and resistivity, Magnetic properties such as " Frequency, f" and " Magnetic flux density, B", "Coercive force, , " and "maximum permeability, " to improving more the EEE of LSPMWG because of the lowest Core Losses, and the alternating and rotational experimental results show that this SMC material can be applied over wide range of frequency from 2 Hz to 1000 Hz for SDWECSs.…”

Distributed Wind Resource Assessment Framework: Functional Requirements and Metrics for Performance and Reliability Modeling

“…There are a variety of sources for these tables with varying levels of validation. Some are derived from logarithmic wind profiles; others like the Wisconsin's Focus on Energy work are based on extensive empirical data (Wegley Orgill, andDrake 1980 andOlsen andPreus 2015).…”

“…Generally speaking, the turbulence intensity at a prospective distributed wind project is estimated using the surrounding surface roughness and then adjusted up or down based on various tables or rules of thumb (Wegley, Orgill, andDrake 1980 andOlsen andPreus 2015) for nearby obstacles.…”