Our Tech has a Climate Problem: Here's how we solve it
May 10, 2024
auto_awesome
AI researchers and climate researchers discuss the environmental impact of AI models, mining for essential minerals, reimagining transportation for sustainability, battery recycling, and using satellites and AI to monitor greenhouse gas emissions. They also explore the challenges of space debris collisions and harnessing AI for wind energy and electricity supply forecasting to mitigate climate change.
AI aids wind energy forecasting for reliable renewable energy transition.
Challenges in space management highlight need for sustainable satellite deployment and debris cleanup.
Deep dives
Using AI to Improve Wind Energy Forecasting
Artificial intelligence is being used to enhance wind energy forecasting, a key component in transitioning to renewable energy sources. By training AI on weather data and turbine power production, it can predict future wind availability more accurately. Collaborating with organizations like Google and Open Climate Fix, AI systems have shown a 20% improvement in accuracy, aiding in managing electricity supply forecasts and reducing reliance on carbon-intensive backup generation.
Challenges in Space Management and Space Junk
The growing number of satellites and space debris present challenges in space management, with over 50,000 tracked objects in orbit. Lack of cleanup initiatives for dead satellites and debris poses risks to operational satellites. Efforts like Privateer's Wayfinder aim to provide transparency by visualizing space objects, highlighting the need for sustainable practices in satellite deployment and debris removal.
Tech's Role in Addressing Climate Change
Technological advancements play a crucial role in addressing climate change, with AI being leveraged to tackle environmental issues. AI applications in renewable energy such as wind forecasting demonstrate significant improvements in accuracy, aiding in the transition to sustainable energy sources. While AI is not a standalone solution, responsible deployment and collaboration with experts are essential for maximizing its potential in combating climate change.
Renewables and Predictive Technologies
Renewable energy sources like wind face challenges due to their unpredictable nature. Artificial intelligence is utilized to forecast renewable energy availability, enhancing the integration of renewables into the grid. DeepMind's project in collaboration with Google showcases the effectiveness of AI in improving electricity supply forecasts and facilitating the transition to cleaner energy solutions.
AI, EVs, and satellites are tackling the climate crisis. But they have environmental downsides. This hour, TED speakers explain how to use these tools without making global warming worse. Guests include AI researchers Sasha Luccioni and Sims Witherspoon, climate researcher Elsa Dominish and astrodynamicist Moriba Jah.
TED Radio Hour+ subscribers now get access to bonus episodes, with more ideas from TED speakers and a behind the scenes look with our producers. A Plus subscription also lets you listen to regular episodes (like this one!) without sponsors. Sign-up at plus.npr.org/ted.