Optimization of the NACA 4-Digit profile applied to Darrieus vertical wind turbine for a decentralized energy generation

• Grant number: 19/20438-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2019
• End date: October 31, 2020
• Field of knowledge: Engineering - Mechanical Engineering - Transport Phenomena
• Principal Investigator: Leandro Oliveira Salviano
• Grantee: Adilson Gomes Poltronieri Junior
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil

Abstract

The energy demand has been growing in recent decades with the new production means and economic growth, making necessary the development and improvement of new technologies, whereas conventional resources, such as oil and its derivatives expose themselves as finite and harmful to the environment. In this way, alternative resources such as wind energy become increasingly attractive, making necessary the development of new technologies for optimized equipment. Therefore, the main goal of the present project is to contribute to the development of wind technology, focusing on small scale wind turbines for decentralized power generation. For this propose, a numerical simulation for a 4-digit NACA profile applied to Darrieus Vertical Wind Turbine will be done in order to evaluate the influence of NACA profile parameters on the turbine power coefficient (CP). It will be considered a bidimensional, incompressible and turbulent flow, unsteady state, under different operational conditions TSR (Tip Speed Ratio), submitting NACA parameters for an indirect optimization by Response Surfaces Methodology (RSM). It is expected to collaborate to find optimum NACA profile to increase turbine efficiency, contributing to encouraging the wind turbine installation at residential and remote areas applications, enabling better use of using the huge Brazilian's wind potential and promoting a progressive reduction of the contribution harmful energy resources have in the country's energy matrix.