Methods to Reduce the Environmental Impact of Artificial Intelligence Data Centers
Calls were made for strategic location selection, waste heat recovery, and transparency to limit the environmental impact of AI centers, which have increasing water and energy consumption.
Scientists have shared new strategies and planning recommendations to ease the pressure on ecosystems caused by artificial intelligence data centers, which are drawing attention with their rapidly increasing energy and water consumption.
Sustainability and Location Selection
Experts point out that choosing the right location and infrastructure planning are of critical importance in the construction of new data centers.
Alternative Spaces and Transparency
Professor Monjur Mourshed from Cardiff University stated that abandoned areas or underground mine tunnels could be utilized.
Mourshed also emphasized that companies must be completely transparent regarding their energy and water usage.
Energy Consumption and Waste Heat
Dr. Alejandro Gallego-Schmid from the University of Manchester stated that electricity consumption by data centers is expected to double by 2030.
It is proposed that the waste heat generated as a result of activities at the facility be transferred to district heating networks and used to heat homes.