Title :
Carbon-Aware Energy Capacity Planning for Datacenters
Author :
Ren, Chuangang ; Wang, Di ; Urgaonkar, Bhuvan ; Sivasubramaniam, Anand
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
Datacenters are facing increasing pressure to cap their carbon footprints at low cost. Recent work has shown the significant environmental benefits of using renewable energy for datacenters by supply-following techniques (workload scheduling, geographical load balancing, etc.) However, all such prior work has only considered on-site renewable generation when numerous other options also exist, which may be superior to on-site renewables for many datacenters. Alternative ways for datacenters to incorporate renewable energy into their overall energy portfolio include: construction of or investment into off-site renewable farms at locations with more abundant renewable energy potential, indirect purchase of renewable energy through buying renewable energy certificates (RECs), purchase of renewable energy products such as power purchase agreements (PPAs) or through third-party renewable providers. We propose a general, optimization-based framework to minimize datacenter costs in the presence of different carbon footprint reduction goals, renewable energy characteristics, policies, utility tariff, and energy storage devices (ESDs). We expect that our work can help datacenter operators make informed decisions about sustainable, renewable-energy-powered IT system design.
Keywords :
computer centres; environmental factors; renewable energy sources; carbon footprint reduction; carbon footprints; carbon-aware energy capacity planning; data centers; energy portfolio; environmental benefits; geographical load balancing; off-site renewable farms; on-site renewable generation; optimization-based framework; power purchase agreements; renewable energy certificates; renewable energy characteristics; renewable energy potential; renewable energy products; supply-following techniques; third-party renewable providers; workload scheduling; Capacity planning; Carbon; Carbon dioxide; Electricity; Electrostatic discharges; Green products; Renewable energy resources;
Conference_Titel :
Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2012 IEEE 20th International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4673-2453-3
DOI :
10.1109/MASCOTS.2012.51