The novelty of this study is 2D and 3D topographical maps of the wind resource of Garoua and Guider have been computed as well as the map of wind energy produced using the WAsP software, with an accurate determination of wind speed, wind power density and energy produced. Complies with many industry standards The Surftest SJ-210 complies with the following standards: JIS (JIS-B0601-2001, JIS-B0601-1994, JIS B0601-1982), VDA, ISO-1997, and ANSI. Surface roughness (standard deviation of height h RMS), causes a reduction in ground reflectivity by increasing the diffusion of the incident energy, which turns into an omni-directional incoherent scattering component.In Figure 9.13, we see that for low roughness conditions (h RMS 0.7 cm), the coherent component of the signal is significantly higher than the incoherent part (Figure 9.13(a. The main purpose this study to evaluate the wind energy production, using bihourly data collected at 10 m above ground level over a period of fifteen years from 2005 to 2019 for the localities, Garoua and Guider. surface roughness measurement instrument equipped with extensive measurement and analysis features. local wind atlas statistics using hourly wind speed data, local roughness data. Wind energy can significantly contribute to the energy mix, mainly during the dry season (March, April and May) when energy demands highly rise and load shedding can last forever, mainly in rural or remotes locations. is commonly used in wind energy potential determination 9. However, aging dam and distribution network leading to frequent load shedding, are contributing factors to look for other environmentally friendly alternatives such as wind power to sustain the energy needs of the region. The North Region of Cameroon is home to a 72 MW hydroelectric dam, which provides electricity beyond the region’s needs.
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