Abstract
A light detection and ranging (LIDAR) wind profiler was used to estimate the wind speed in the southern coast of Santa Catarina State, Brazil. This profiler was installed on a coastal platform 250 m from the beach, and recorded wind speed and direction from January 2017 to December 2018. The power generation from three wind turbines was simulated, to obtain estimations of the average power, energy generation and capacity factor, as well as to assess the performance of a hypothetical wind farm. The scale and shape parameters of the Weibull distribution were evaluated and compared with those of other localities in the state. The prevailing winds tend to blow predominantly from the northeast and southwest directions. Wind magnitudes are higher for the NE and SW ocean sectors where the average wind power density can reach 610–820 W m−2. The Vestas 3.0 turbine spent the largest percentage of time in operation (>76%). The higher incidence of strong northeasterly winds in 2017 and more frequent passage of cold fronts in 2018 were attributed to the cycle of the South Atlantic subtropical high. The results demonstrate a significant coastal wind power potential, and suggest that there is a significant increase of resources offshore.
Highlights
Wind energy is one of the most promising renewable alternatives available for exploitation in Brazil today [1]
light detection and ranging (LIDAR) measurements at the BOOA covered a period of approximately two years, from January
This study analyzed data from a LIDAR wind profiler installed over the “Ocean and Atmosphere
Summary
Wind energy is one of the most promising renewable alternatives available for exploitation in Brazil today [1]. This study describes the average power, mean the average power, mean capacity factor and energy modern wind turbines at BOOA. Capacity factor and energy generated by modern windgenerated turbines atbyBOOA It comparison the LIDAR data with derived the statistical from by theDalmaz towers, ofalso the makes. Two pioneer studies monitored winds on the coast of Piauí [29,30], one for Espírito Santo State [31] This dataset represents the longest period of LIDAR wind monitoring conducted for the southern coast of the country. The present paper comes at an opportune moment to foster and support the current process of offshore wind energy planning, and underlines the importance of long-term wind profile monitoring for the Brazilian coast
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
