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The relationship between AI and space solar cells
AI and space solar cells are mutually reinforcing and closely related. AI technology provides technical support for the development of space solar cells, promoting their efficiency improvement and cost reduction, while space solar cells provide sustainable energy security for AI development, as follows:
Optimizing design and manufacturing processes: AI algorithms can be used to analyze material properties, quickly simulate and predict the performance of different material combinations, and help researchers find more efficient material and structural designs. A research team from the University of Potsdam in Germany has successfully used AI technology to simulate lunar dust and manufacture solar cells. By optimizing the manufacturing process, not only has the transportation cost been reduced by 99%, but the battery's tolerance to space radiation has also been significantly improved.
Improving energy conversion efficiency: Optimizing the layout of solar cell arrays through AI algorithms can significantly enhance energy conversion efficiency. For example, the "SSPS-CMCA" scheme proposed by the research team of Shenyang University of Aeronautics and Astronautics in China is designed with the help of AI technology. By arranging a circular metasurface material array on the outside of the system, the light is focused on the photovoltaic panels in the inner ring, which improves the utilization efficiency of solar energy.
Fault diagnosis and predictive maintenance: AI algorithms can analyze real-time data of space solar cell systems, identify power generation anomalies, component failures, and other issues. By establishing data models, they can predict the future performance of components, issue fault warnings in advance, facilitate timely intervention by operation and maintenance personnel, reduce maintenance costs, and extend system lifespan.
Adapting to changes in the space environment: AI technology can actively adjust the operating parameters of solar cell systems, such as panel angles, tracking strategies, etc., based on various changes in the space environment, such as changes in solar radiation intensity, temperature, etc., to maximize the absorption of solar energy and ensure power generation efficiency.
Addressing energy demand issues: With the development of AI technology, especially the training of large-scale AI models, the power consumption is enormous, and energy issues have become a stumbling block to the development of AI. Space solar cells can generate electricity from solar energy throughout the day in space without being affected by the alternation of day and night, weather, and atmospheric attenuation, providing sufficient and stable energy for AI data centers to meet their high energy consumption needs. Lumen Orbit plans to connect its space data center with a massive array of solar cells to provide energy for AI model training, with operating costs only a fraction of those of ground data centers.
Promoting the expansion of AI computing power: Space data centers supported by space solar cells can expand in any direction in 3D space, unlocking unprecedented cluster sizes and providing stronger computing power support for AI. In the future, with the maturity of space solar cell technology, the computing power of space AI is expected to far exceed the maximum computing power on Earth, promoting the rapid development of AI technology.
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