How Carbon-Aware Scheduling Can Cut Data Center Emissions

Carbon-aware scheduling is a practice of running flexible computing tasks, such as data backups and AI model training, during times when electricity grids have lower carbon intensity or when on-site renewable energy is available. Data center operators can reduce emissions by aligning these time-flexible workloads with periods and locations where cleaner energy is most abundant, rather than treating carbon footprints as fixed to a facility's size. Implementation requires tracking which workloads can shift without violating service requirements, measuring power consumption at detailed levels, and potentially installing on-site renewable energy and battery storage to guarantee low-carbon power during scheduled tasks. This approach complements longer-term renewable energy procurement and efficiency programs while addressing regulatory expectations around data center electricity demand.