The analysis of wind data and calculation of energy yield
potential are essential steps in the process of designing and building a wind
turbine project.
Wind Resource Assessment: involves collecting and analyzing wind speed and
direction data at the proposed project site. This data can be obtained through
on-site measurements using anemometers, wind vanes, or remote sensing
techniques such as lidar or meteorological towers. The data is then used to
create wind speed and direction frequency distributions, which are used to
predict the long-term wind resource at the site.
Energy Yield Calculation: Once the wind resource has been assessed, the energy
yield potential of the site can be calculated. This involves estimating the
amount of energy that can be generated by a wind turbine over a specific period,
typically a year. The energy yield calculation considers wind resources,
turbine size, and operating conditions.
Micrositing: Micrositing selects the optimal location for the wind
turbine within the wind farm. This involves analyzing the wind data to identify
the best location for each turbine, considering factors such as turbine
spacing, wake effects, and the site's topography.
Financial Analysis: An economic analysis determines the project's feasibility.
The cost of the wind turbine, installation, and maintenance, energy sales
revenue, and connecting to the grid are all considered.
It's worth noting that the accuracy of the energy yield
prediction is crucial, as it forms the basis for the project's financial
viability, and the accuracy of the prediction will directly affect the
project's profitability.
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