China is using artificial intelligence to run real-time analysis of pertinent data points and increase its renewable energy infrastructure’s reliability. In June, an AI model was rolled out at the massive Yalong River integrated renewable base in Sichuan Province to help the mega-scale power generation hub address issues such as output instability and intermittency.
The goal is to inject more stability and reliability into China’s green energy generation pipeline. According to the AI model’s technical director, Zhou Yu, the model will use relevant data on grid load, solar, wind, and hydro resources to make predictions that decision-makers can use to inform their choices.
The model could calculate the amount of electricity a river basin can generate in the next two weeks, or estimate rainwater inflows and the resulting hydropower potential, Zhou says.
China is, without a doubt, the global leader in green energy generation. Despite being one of the largest fossil fuel importers, China also leads the global front on green energy. It has cornered most of the world market on renewable infrastructure and builds most of the world’s solar panels and wind turbines.
Furthermore, China has installed more renewable capacity than any other country in the world, and currently has more solar and wind power projects under construction than the rest of the globe combined.
The Asian economy is on track to become the first electrostate in the world. With its considerable AI capabilities, China could successfully address some of the main challenges of using renewable energy, such as intermittency, and make renewables its dominant energy source.
In Suqian city, one factory with more than 9,000 square meters of photovoltaic solar panels uses AI-powered control and collection tools in real time to measure and adjust green energy output for maximum productivity.
State Grid Suqian Power Supply Co. employee Sun Yuan notes that the utility uses edge computing, intelligent algorithms, and perception monitoring, among other intelligent technologies, to ensure it can dispatch solar energy flexibly and reliably during high-demand windows, such as the ongoing heat wave.
As Chinese demand for energy continues to surge, intelligent technologies like AI are being integrated into renewable energy generation to ensure a stable energy supply.
A converter station in Changshu, Jiangsu uses 5 intelligent drones to take care of most safety inspections, while an AI model is assessing supply-demand dynamics during high-temperature periods in Shandong, East China. In the north, Shanxi is using AI-powered robots and integrated data analysis to monitor grid status in real time, while Hubei has launched an intelligent system that can predict the impact of weather systems on grid equipment.
Renewable energy firms like GeoSolar Technologies Inc. could study how China is blazing a trail in leveraging cutting-edge technologies to bolster the reliability of renewable energy. Such lessons could supercharge these companies and help them dominate the markets where they operate.
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