OICC Press International Journal of Energy and Environmental Engineering 2251-6832 13 1 (March 2022) 2021 09 16 Comparison of wind profile estimation methods for calculating offshore wind potential for the Northeast region of Brazil 10.1007/s40095-021-00428-7 EN Luiz Felipe Rodrigues do Carmo Laboratório de Meteorologia Dinâmica E Sinótica (LADSIN), Departamento de Meteorologia, Universidade Federal Do Rio de Janeiro (UFRJ), 274, Universitária-Ilha Do Fundão, Rio de Janeiro, RJ, 21044-020, BR Ana Cristina Pinto de Almeida Palmeira Laboratório de Meteorologia Dinâmica E Sinótica (LADSIN), Departamento de Meteorologia, Universidade Federal Do Rio de Janeiro (UFRJ), 274, Universitária-Ilha Do Fundão, Rio de Janeiro, RJ, 21044-020, BR Carlos Felipe de Jesus Lauriano Antonio Laboratório de Meteorologia Dinâmica E Sinótica (LADSIN), Departamento de Meteorologia, Universidade Federal Do Rio de Janeiro (UFRJ), 274, Universitária-Ilha Do Fundão, Rio de Janeiro, RJ, 21044-020, BR Ronaldo Maia de Jesus Palmeira Instituto de Astronomia, Geofísica E Ciências Atmosféricas (IAG-USP), Universidade de São Paulo (USP), São Paulo, SP, 05508-090, BR Journal Article 2021 09 16 Abstract Over the years, the need for energy consumption has been increasing in all sectors of society. Consequently, discussions about renewable energy sources such as wind, solar, hydraulic and wave energy are increasingly being guided in all global environmental political discussions. More specifically, wind energy, mainly offshore, has been increasingly highlighted due to the large area to be explored. Thus, the objective of this work was to study the offshore wind profiles using five different estimation methodologies, verifying which is the best and worst scenario of wind potential. For this purpose, data from the SODAR of “Ômega Energia” located in the state of Maranhão, in the Northeast of Brazil were used; the data from the ERA5 Reanalysis and the data from the Wobben Windpower E-82 E4 wind turbine, with a nominal power of 3000 KW (3 MW). The results showed that the best method for estimating wind profiles both for this location and for the entire Northeast region of Brazil was the method using Taylor & Yelland [ 28 ] roughness estimate calculation, which considers a stable atmosphere. Comparatively, the best estimate scenario showed a gain of 0.65 MW of power generation when compared to the worst scenario.