Artificial intelligence (AI) has been getting a lot of attention lately—not all of it good. Many folks are worried about how much energy and water AI uses. But on the flip side, some scientists are exploring how AI can actually help us use energy better and reduce pollution.
The International Energy Agency reported that in 2022, data centers powering AI took up about 1.5% of the world’s energy. By 2030, they predict this could double. If this happens, it could mean burning more fossil fuels, which adds to climate problems like warming temperatures and extreme weather.
However, if we harness AI for energy efficiency, the impact could be positive. AI can help us analyze energy use, adjust building systems, and even manage traffic signals. Alexis Abramson, dean of the Columbia University Climate School, expresses optimism about this potential. She believes that improved efficiency in AI technology could help control its energy consumption.
One area where AI shines is in making buildings more efficient. According to Bob French from 75F, AI can adjust heating, cooling, and ventilation automatically based on real-time data like weather conditions and occupancy. This means less wasted energy and lower bills. By doing this, energy usage could drop by 10% to 30%.
AI can also optimize when we charge electric vehicles (EVs). By scheduling charging during off-peak hours, when energy rates are lower and cleaner sources are more abundant, we can cut costs and reduce fossil fuel use. A recent pilot program in California proved effective in saving money by shifting EV charging to when renewable energy was more available.
Additionally, AI can help in the oil and gas sectors by reducing methane flaring. This troublesome practice happens when gas is released and burned to relieve pressure in pipes. Using AI tools, companies like Geminus can analyze their systems and suggest modifications that prevent this waste, saving energy and cutting emissions. According to the U.N. Environment Programme, reducing methane emissions is crucial for tackling climate change.
AI is also making strides in geothermal energy. Startups like Zanskar use AI to find hidden geothermal “hot spots” more efficiently. Their technology simulates subsurface scenarios to identify the best drilling locations. This method can unlock renewable energy sources that were previously overlooked.
Another exciting application of AI is traffic optimization. Google’s Project Green Light is now active in 20 cities around the world. Using traffic data, AI generates suggestions for reducing stop-and-go conditions. This initiative can potentially cut emissions from vehicles by up to 10%.
The synergy between AI and sustainability keeps growing. As technology advances, it creates new opportunities for reducing energy use and pollution. We’re just starting to scratch the surface of what AI can achieve in the context of environmental challenges.
For more insights on climate efforts, visit AP’s climate coverage. This ongoing conversation highlights how innovation can pave the way for a more sustainable future.
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AI, environment, energy consumption, artificial intelligence
