This study presents a numerical investigation on the aerodynamic optimization of geothermal turbine blades using computational fluid dynamics (CFD).
The National Renewable Energy Laboratory (NREL) is conducting research on geothermal turbine blade optimization to improve efficiency and reduce costs.
This article discusses the application of aerodynamic shape optimization techniques to improve the efficiency of geothermal turbine blades.
ANSYS offers a turbine blade optimization tool that uses computational fluid dynamics (CFD) and other simulation techniques to optimize the aerodynamic performance of turbine blades.
This video discusses the importance of turbine blade optimization in geothermal energy production and presents various techniques for optimizing blade design.
This study presents an optimization framework for geothermal turbine blades using evolutionary algorithms, which can be used to improve the aerodynamic performance of the blades.
This review article discusses various aerodynamic optimization techniques for geothermal turbine blades, including CFD, evolutionary algorithms, and other numerical methods.
This course at MIT covers the design and optimization of geothermal turbine blades, including aerodynamic optimization techniques and computational fluid dynamics (CFD).