Solar energy advancement in China signals cautious enthusiasm, highlighting progress in AI technology for solar energy production.
In a groundbreaking development, scientists from Tsinghua University and the National Tibetan Plateau Data Centre have unveiled a new artificial intelligence (AI) model. This innovative system, akin to a chatgpt for solar energy prediction, is designed to enhance the efficiency of double-sided solar panels, a technology that converts sunlight directly into electricity.
The AI model uses machine learning models and data augmentation techniques to predict solar radiation patterns with unprecedented accuracy. It analyses sunshine duration data collected from over 2,453 weather stations throughout China, providing insights into the power-generating potential of these panels.
The study, published in the Journal for Remote Sensing, showcases the AI model's ability to reveal great solar potential in remote areas of China, such as the eastern Tibetan Plateau and the Taklamakan Desert in Xinjiang.
China's success in solar energy is largely due to its advantage in both land and labor, enabling lower cost production compared to the US, India, and Europe. In 2023 alone, China installed more solar panels than the US has in its history. Moreover, China's exports of fully assembled solar panels rose by 38%, and key component exports nearly doubled.
The new methodology is universally replicable and does not require local data for calibration, making it a valuable tool for countries seeking to harness solar energy effectively. The study's findings could potentially be applied in other fields like agriculture, as plants perform photosynthesis more efficiently under diffuse light conditions.
However, it's important to note that the AI model detailed in the study may require a considerable amount of energy and water to run. As the world moves towards renewable energy, it's crucial to address the energy and water consumption issues associated with training chatgbt systems more efficiently and running them on renewable energy.
Recognizing this need, the European Union's AI Act will require "high-risk AI systems" to report energy and resource use from 2025 onwards, and the International Organization for Standardization (ISO) will issue criteria for "sustainable AI" later this year. Similarly, US lawmakers have introduced a bill to assess AI's environmental footprint and develop a standardized system for reporting future impacts.
China plans to accelerate the expansion of its solar projects as part of a trio of emerging technologies alongside electric vehicles and lithium batteries. The potential of the AI model to enhance the efficiency of bifacial solar modules could play a significant role in this expansion, contributing to a more sustainable and energy-efficient future.
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