Graduate Teaching and Research Assistant, University of Buea
Wind resource assessment, wind turbine modelling and wind farm layout optimization
For the successful installation and operation of a wind farm project, the site and the type of wind turbine to be install on that site are the two very important factors to be taken into consideration. This work is dedicated to addressing these two issues. The first part of the project involves the applications of suitable mathematical and statistical techniques by fitting wind speed data from Cameroon’s coastal regions into a distribution curve for the purpose of selecting the best site with favourable wind speeds. To do this, we analyse and compare the wind speed data from these regions by making use of their average wind speeds, wind speeds carrying maximum energy and most probable wind speeds. We also analysed their Weibull power distribution curves and their wind roses before concluding on which site is the best.
A small onshore wind farm with an estimated capacity of 500KW is design and studied. With the help of a wind rose, wind resource map and results from Weibull statistics, a potential site is selected and the wind farm is positioned along Cameroon’s coastline for maximum energy capture. Using the PARK model for wind turbine layout optimization, two different layout patterns (Checkers pattern and column pattern) are studied for the purpose of minimizing the wake effect and thereby, maximizing the output power from the farm. The Checkers model was found suitable as compared to the column model to be used on Grand Batanga, a small locality South of the city of Kribi, Cameroon.
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