Ke Ji Ri Bao·2025-11-04 23:53Group 1: AI's Energy Consumption and Impact - The International Energy Agency reports that AI data centers consumed approximately 1.5% of global electricity in the previous year, with expectations to double by 2030, potentially increasing fossil fuel usage and greenhouse gas emissions [1] - AI is not only a consumer of energy but also a potential driver for energy efficiency and pollution reduction, with scientists exploring ways to utilize AI for smarter energy use [1] Group 2: Enhancing Building Energy Efficiency - AI can significantly improve building energy efficiency by automatically adjusting lighting, ventilation, heating, and cooling systems based on various factors such as weather data and electricity usage [2] - Automated temperature control systems can reduce energy consumption by 10% to 30% in buildings [3] Group 3: Optimizing Energy Distribution - AI-driven smart grids can optimize energy distribution, reduce waste, and enhance efficiency, while machine learning can improve renewable energy technologies like solar panels and wind turbines [4] - AI can also plan efficient charging solutions for electric vehicles and manage excess energy storage in homes equipped with solar panels [4] Group 4: Reducing Methane Emissions - Methane accounts for approximately 30% of current greenhouse gas emissions contributing to global warming, and reducing methane emissions is a key strategy to mitigate climate change [5] - Geminus AI utilizes deep learning to help oil and gas companies reduce methane emissions and energy consumption during extraction and refining processes, achieving results in seconds compared to traditional methods that take about 36 hours [5][6] Group 5: Exploring Geothermal Resources - Geothermal energy, a clean energy technology, is gaining attention for its potential to generate electricity by harnessing the Earth's natural heat [7] - Zanskar, a U.S. geothermal startup, uses AI models to identify overlooked geothermal hotspots and has successfully restored power to a previously underperforming geothermal plant [8] Group 6: Reducing Traffic Pollution - Google is leveraging AI and Google Maps data to optimize traffic signal timing, improving vehicle flow and reducing traffic pollution through the "Green Light Project," which has been implemented in 20 cities across four continents [9] - The project aims to reduce frequent stops by 30%, leading to a corresponding 10% decrease in pollutant emissions and improving urban air quality [9]