This article presents a study on the optimization of geothermal turbine blade shape using a genetic algorithm. The results show that the optimized blade shape can improve the turbine efficiency by 5%.
This research paper discusses the use of computational fluid dynamics (CFD) and machine learning algorithms for optimizing the shape of geothermal turbine blades. The study found that the optimized blade shape can increase the turbine power output by 10%.
The US Department of Energy provides an overview of turbine blade shape optimization for geothermal power plants. The article discusses the benefits of optimized blade shapes, including increased efficiency and reduced costs.
This online course covers the design and optimization of geothermal turbine blades. The course includes lectures on blade shape optimization algorithms, CFD, and machine learning.
This journal article presents a study on the shape optimization of geothermal turbine blades using surrogate-based optimization. The results show that the optimized blade shape can improve the turbine efficiency by 8%.
This conference paper discusses the use of artificial neural networks (ANNs) for optimizing the shape of geothermal turbine blades. The study found that the optimized blade shape can increase the turbine power output by 12%.
This academic paper provides an overview of optimization algorithms for geothermal turbine blade shape design. The article discusses the benefits and limitations of different algorithms, including genetic algorithms and particle swarm optimization.
This review article provides an overview of the current status and future directions of geothermal turbine blade shape optimization. The article discusses the benefits of optimized blade shapes, including increased efficiency and reduced costs.