Wind Turbine Energy Yield Calculation at a Given Site

In summary: Therefore, the more information you have about the wind speed and characteristics at the site, the more accurate your estimation of energy production will be.In summary, to calculate the energy production at a site with a mean annual wind speed of 5.5 metres per second at a height of 30 metres, a logarithmic wind shear profile, and a roughness length of 0.1 metres, you will need to determine the wind power density using the equation P = 0.5*ρ*A*V3, and then calculate the annual energy production using the equation AEP = P * 8760 hours. The Rayleigh distribution implies that the wind speed at the site follows a normal distribution, meaning that it may vary around the mean
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Homework Statement



I need to find how much energy will be produced (at least approximately) at a site with the following characteristics (this is taken from the German Renewable Energy law):

“The reference site shall be a site determined by means of a Rayleigh distribution with a mean annual wind speed of 5.5 metres per second at a height of 30 metres above ground level, a logarithmic wind shear profile and a roughness length of 0.1 metres.”


Homework Equations



How can I find out how much energy can be produced at such a location? What other information do I need? I am especially interested in what Rayleigh distribution implies here, and how I can use this information
 
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.The Attempt at a SolutionTo calculate the energy that can be produced at this location, you will need to first determine the wind power density at the site. This can be calculated using the following equation: P = 0.5*ρ*A*V3 where P is the wind power density in Watts per square metre (W/m2), ρ is the air density in kg/m3, A is the rotor swept area in m2, and V is the wind speed in m/s. Once you have determined the wind power density, you can then calculate the total energy produced by the turbine over a given period of time. For example, the annual energy production (AEP) can be calculated using the following equation: AEP = P * 8760 hours where 8760 hours is the number of hours in a year. The Rayleigh distribution implies that the wind speed at the site is distributed according to a normal distribution with a mean annual wind speed of 5.5 metres per second. This means that the wind speed is likely to vary around this value, and the total energy produced will depend on the average wind speed over the year.
 

FAQ: Wind Turbine Energy Yield Calculation at a Given Site

What is wind turbine energy yield calculation?

Wind turbine energy yield calculation is the process of determining the expected amount of energy that can be generated by a wind turbine at a specific location. It takes into account factors such as wind speed, turbine efficiency, and site conditions to estimate the potential energy production.

What is the importance of wind turbine energy yield calculation?

Wind turbine energy yield calculation is important because it allows for the accurate prediction of energy production at a given site, which is crucial for determining the feasibility and profitability of a wind energy project. It also helps in the selection and optimization of wind turbine designs and placement.

What factors are considered in wind turbine energy yield calculation?

The main factors that are considered in wind turbine energy yield calculation are wind speed, air density, turbine efficiency, and site conditions such as terrain, obstacles, and turbulence. These factors can greatly affect the amount of energy that can be generated at a specific location.

How is wind turbine energy yield calculated?

Wind turbine energy yield is typically calculated using a combination of mathematical models and computer simulations. These models take into account the wind speed and other factors to estimate the power output of a wind turbine over a given period of time, usually a year.

What are some challenges in wind turbine energy yield calculation?

Some challenges in wind turbine energy yield calculation include the variability and unpredictability of wind patterns, as well as the accuracy of the data used in the calculations. Other factors such as maintenance and downtime can also affect the actual energy production of a wind turbine, making it difficult to accurately predict the yield.

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