Abstract

Abstract This paper reports the first LIDAR measurements obtained on a fishing pier in Santa Catarina, southern Brazil. A laboratory was built to monitor the vertical structure, time and directional variability of winds in the transitional region between the ocean and the continent. A meteorological station provided pressure, temperature, wind and humidity data. Prevailing winds tend to blow from the NE along the coastline, strongly influenced by the South Atlantic Subtropical High Pressure center. Sea and land breezes had significant amplitude. The offshore wind component (sea breeze) was generally active from 11:00 to 20:00 h; the onshore component (land breeze) from 22:00 to 09:00 h. Weak vertical shear and increasing wind speeds were typically observed in the early afternoon, while stronger shear and the highest wind speeds tend to occur in the late afternoon. Winds profiles from the ocean sector were usually more intense and less sheared. The average power of wind turbines was estimated. The local resource is nearly 2.5 times greater than that of a site located 9.3 km inland. The use of coastal laboratories was demonstrated to be a cost-saving solution for long-term monitoring of the country's wind resources.

Highlights

  • By the end of 2018, wind power attained 14.71 GW of total installed capacity in Brazil, provided by 583 farms (Abeeolica, 2018)

  • The present study describes the first measurements performed with a LIDAR wind profiler installed 250 m from the coast on a fishing pier off southern Santa Catarina state, located in the southern region of Brazil

  • This study evaluated wind profile measurements obtained on a fishing pier located on the southern coast of Santa Catarina, Brazil

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Summary

Introduction

By the end of 2018, wind power attained 14.71 GW of total installed capacity in Brazil, provided by 583 farms (Abeeolica, 2018). Many wind farms are located over land in coastal areas and in shallow regions offshore, wind measurements tend to be scarce in these regions. Observational networks need to be improved in order to provide multilevel information and wind measurements at turbine hub height and above. This type of information is necessary to accurately describe dynamic coastal processes such as sea breezes, low-level jets, and other land-air-ocean interactions (Archer et al, 2014). Wind observations in the coastal zone are crucial for resource estimation, validation of numerical models, micro-siting of turbines and the optimization of wind farms (Manwell et al, 2010)

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