The thesis focuses on the aspect of optimization of NREL VI wind turbine blade for increased power output using commercial solver ANSYS 14.5. The power curve obtained from BEMT, Baseline NREL VI CFD Simulations and Optimized Blade Simulations are compared with experimental results. Over prediction is observed in the theoretical result while computational analysis under predicts power produced at post stall region. Parameter correlation and sensitivity analysis study relates the effectiveness of design parameters on the objective outcome. Scatter plots and Determination Matrix indicate the problem setup as non-linear quadratic. Adaptive Single Objective Optimization algorithm is used for the optimization process where an intelligent auto refinement of domain spaces searches for a global optimum. Large domain reduction and limited evaluation space due to computational burden restricts the finding of global optimum but 5 best local optimum results are still yielded. Flow visualization and characteristic study display attached flow through the blade span till 7 m/s wind speed. Flow separation at 10 m/s and above is well captured by the boundary layer and pressure coefficient plots agree well with the transition location.
","abstract_html":"<p>The thesis focuses on the aspect of optimization of NREL VI wind turbine blade for increased power output using commercial solver ANSYS 14.5. The power curve obtained from BEMT, Baseline NREL VI CFD Simulations and Optimized Blade Simulations are compared with experimental results. Over prediction is observed in the theoretical result while computational analysis under predicts power produced at post stall region. Parameter correlation and sensitivity analysis study relates the effectiveness of design parameters on the objective outcome. Scatter plots and Determination Matrix indicate the problem setup as non-linear quadratic. Adaptive Single Objective Optimization algorithm is used for the optimization process where an intelligent auto refinement of domain spaces searches for a global optimum. Large domain reduction and limited evaluation space due to computational burden restricts the finding of global optimum but 5 best local optimum results are still yielded. Flow visualization and characteristic study display attached flow through the blade span till 7 m/s wind speed. Flow separation at 10 m/s and above is well captured by the boundary layer and pressure coefficient plots agree well with the transition location.</p>","abstract_has_math":false,"creators":["Shrestha, Tsewang Rabga"],"institution":null,"degree_name":"Master of Aerospace Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-04-01T07:00:00Z","date_published":"2014-04-01T07:00:00Z","updated_at":"2026-07-27T19:26:08Z","subjects":["aerodynamics","wind turbines","blades","flow","Aerodynamics and Fluid Mechanics","Aerospace Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/edt/182","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Shrestha, Tsewang Rabga"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Aerospace Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["aerodynamics","wind turbines","blades","flow","Aerodynamics and Fluid Mechanics","Aerospace Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/edt/182"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The thesis focuses on the aspect of optimization of NREL VI wind turbine blade for increased power output using commercial solver ANSYS 14.5. The power curve obtained from BEMT, Baseline NREL VI CFD Simulations and Optimized Blade Simulations are compared with experimental results. Over prediction is observed in the theoretical result while computational analysis under predicts power produced at post stall region. Parameter correlation and sensitivity analysis study relates the effectiveness of design parameters on the objective outcome. Scatter plots and Determination Matrix indicate the problem setup as non-linear quadratic. Adaptive Single Objective Optimization algorithm is used for the optimization process where an intelligent auto refinement of domain spaces searches for a global optimum. Large domain reduction and limited evaluation space due to computational burden restricts the finding of global optimum but 5 best local optimum results are still yielded. Flow visualization and characteristic study display attached flow through the blade span till 7 m/s wind speed. Flow separation at 10 m/s and above is well captured by the boundary layer and pressure coefficient plots agree well with the transition location.
"]},{"key":"dc:title","label":"Title","values":["3D Aerodynamic Optimization of NREL VI Wind Turbine Blade for Increased Power Output and Visualization of Flow Characteristics"]}]}],"canonical_facts":{"dc:creator":["Shrestha, Tsewang Rabga"],"dc:description.abstract":["The thesis focuses on the aspect of optimization of NREL VI wind turbine blade for increased power output using commercial solver ANSYS 14.5. The power curve obtained from BEMT, Baseline NREL VI CFD Simulations and Optimized Blade Simulations are compared with experimental results. Over prediction is observed in the theoretical result while computational analysis under predicts power produced at post stall region. Parameter correlation and sensitivity analysis study relates the effectiveness of design parameters on the objective outcome. Scatter plots and Determination Matrix indicate the problem setup as non-linear quadratic. Adaptive Single Objective Optimization algorithm is used for the optimization process where an intelligent auto refinement of domain spaces searches for a global optimum. Large domain reduction and limited evaluation space due to computational burden restricts the finding of global optimum but 5 best local optimum results are still yielded. Flow visualization and characteristic study display attached flow through the blade span till 7 m/s wind speed. Flow separation at 10 m/s and above is well captured by the boundary layer and pressure coefficient plots agree well with the transition location.
"],"dc:identifier":["https://commons.erau.edu/edt/182"],"dc:subject":["aerodynamics","wind turbines","blades","flow","Aerodynamics and Fluid Mechanics","Aerospace Engineering"],"dc:title":["3D Aerodynamic Optimization of NREL VI Wind Turbine Blade for Increased Power Output and Visualization of Flow Characteristics"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Aerospace Engineering"]},"updated_at":"2026-07-27T19:26:08Z"}