This article explores the application of artificial intelligence in optimizing geothermal turbine design for enhanced efficiency and reduced costs.
The U.S. Department of Energy discusses how AI can improve geothermal turbine design, predictive maintenance, and overall system performance.
Researchers at MIT have developed a machine learning framework to optimize turbine design for geothermal applications, leading to significant improvements in power output.
This comprehensive review article discusses the current state of AI applications in geothermal turbine design, highlighting key challenges and future directions.
An open-source tool utilizing AI and machine learning to aid in the design and optimization of geothermal turbines, available for public use and contribution.
The National Renewable Energy Laboratory examines the role of AI in geothermal systems, including turbine design, operation, and maintenance.
A video lecture by a leading expert in the field, discussing the application of deep learning techniques to optimize geothermal turbine design and performance.
A case study by a leading renewable energy company, showcasing the successful application of AI in optimizing geothermal turbine design and operation.