TY - GEN
T1 - Carbon Explorer
T2 - 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2023
AU - Acun, Bilge
AU - Lee, Benjamin
AU - Kazhamiaka, Fiodar
AU - Maeng, Kiwan
AU - Gupta, Udit
AU - Chakkaravarthy, Manoj
AU - Brooks, David
AU - Wu, Carole Jean
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/1/27
Y1 - 2023/1/27
N2 - Technology companies reduce their datacenters' carbon footprint by investing in renewable energy generation and receiving credits from power purchase agreements. Annually, datacenters offset their energy consumption with generation credits (Net Zero). But hourly, datacenters often consume carbon-intensive energy from the grid when carbon-free energy is scarce. Relying on intermittent renewable energy in every hour (24/7) requires a mix of renewable energy from complementary sources, energy storage, and workload scheduling. In this paper, we present the Carbon Explorer framework to analyze the solution space. We use Carbon Explorer to balance trade-offs between operational and embodied carbon, optimizing the mix of solutions for 24/7 carbon-free datacenter operation based on geographic location and workload. Carbon Explorer has been open-sourced at https://github.com/facebookresearch/CarbonExplorer.
AB - Technology companies reduce their datacenters' carbon footprint by investing in renewable energy generation and receiving credits from power purchase agreements. Annually, datacenters offset their energy consumption with generation credits (Net Zero). But hourly, datacenters often consume carbon-intensive energy from the grid when carbon-free energy is scarce. Relying on intermittent renewable energy in every hour (24/7) requires a mix of renewable energy from complementary sources, energy storage, and workload scheduling. In this paper, we present the Carbon Explorer framework to analyze the solution space. We use Carbon Explorer to balance trade-offs between operational and embodied carbon, optimizing the mix of solutions for 24/7 carbon-free datacenter operation based on geographic location and workload. Carbon Explorer has been open-sourced at https://github.com/facebookresearch/CarbonExplorer.
UR - http://www.scopus.com/inward/record.url?scp=85147734639&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85147734639&partnerID=8YFLogxK
U2 - 10.1145/3575693.3575754
DO - 10.1145/3575693.3575754
M3 - Conference contribution
AN - SCOPUS:85147734639
T3 - International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS
SP - 118
EP - 132
BT - ASPLOS 2023 - Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
A2 - Aamodt, Tor M.
A2 - Jerger, Natalie Enright
A2 - Swift, Michael
PB - Association for Computing Machinery
Y2 - 25 March 2023 through 29 March 2023
ER -