Abstract
The influence of wake parameters on the exergy analysis of single array wind farm is studied in this paper. Key parameters which influence wake effects in a wind farm are wind velocity, tip speed ratio, number of blades, rotor speed, rotor diameter and hub height. Three different models namely power, wake and exergy model were used in estimating the exergy efficiency of the single array wind farm. Even though it is ideal for wind farms to fix the wind turbines in rows and columns the conditions of the site may not always be condu- cive for it. Hence analysis has been done keeping the wind turbines at random in a row and the effect of positioning on the performance is analyzed. Energy and exergy efficiency calculations were made for different cases by varying the positions of wind turbines in the single array wind farm. Standard relations were used in estimating the energy deficit in the wind farm due to wake effects. The wake effects were found to have an aggregated influence on the energy production of the wind farm, which results from the changes in the key parameters mentioned above. Potential areas for reducing energy losses by proper location and selection of turbines based on rating are highlighted. The influence of individual parameters contributing to the wake ef-fect were analyzed and discussed in detail.
Highlights
Generation of power using wind turbine is cost effective compared to other resources, but if not done properly can influence potential energy losses
The wake effects were found to have an aggregated influence on the energy production of the wind farm, which results from the changes in the key parameters mentioned above
Assumptions made in the study are 1) generator efficiency and gear box efficiency for the rated speed were taken as constants for the calculations 2) Cp values change with respect to tip speed ratio and number of blades and 3) model is applicable for a single turbine which will be applied for each turbine and the total power can be estimated
Summary
Generation of power using wind turbine is cost effective compared to other resources, but if not done properly can influence potential energy losses. Muppandal region has the distinction of having one of the largest concentrations of wind turbines at a single location with an aggregate wind power capacity of 540 MWe. The deficit in energy production of any wind farm is characterized by wake effects influenced by the turbines. The turbine positioned upstream in the wind direction influences the wind speed at turbine locations on its downwind (lee) side [1]. This shadowing effect from upstream turbines on other turbines further downstream is referred to as the wake effect. Energy and exergy losses in a wind farm can be identified using energy and exergy analysis
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