Carbon-aware energy capacity planning for datacenters

Chuangang Ren; Di Wang; Bhuvan Urgaonkar; Anand Sivasubramaniam

doi:10.1109/MASCOTS.2012.51

Carbon-aware energy capacity planning for datacenters

Chuangang Ren
, Di Wang
, Bhuvan Urgaonkar
, Anand Sivasubramaniam

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

170 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012
Pages	391-400
Number of pages	10
DOIs	https://doi.org/10.1109/MASCOTS.2012.51
State	Published - 2012
Event	2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012 - Washington, DC, United States Duration: Aug 7 2012 → Aug 9 2012

Publication series

Name	Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012

Other

Other	2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012
Country/Territory	United States
City	Washington, DC
Period	8/7/12 → 8/9/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Modeling and Simulation
Communication

Access to Document

10.1109/MASCOTS.2012.51

Cite this

Ren, C., Wang, D., Urgaonkar, B., & Sivasubramaniam, A. (2012). Carbon-aware energy capacity planning for datacenters. In Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012 (pp. 391-400). Article 6298199 (Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012). https://doi.org/10.1109/MASCOTS.2012.51

Ren, Chuangang ; Wang, Di ; Urgaonkar, Bhuvan et al. / Carbon-aware energy capacity planning for datacenters. Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012. 2012. pp. 391-400 (Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012).

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title = "Carbon-aware energy capacity planning for datacenters",

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.",

author = "Chuangang Ren and Di Wang and Bhuvan Urgaonkar and Anand Sivasubramaniam",

year = "2012",

doi = "10.1109/MASCOTS.2012.51",

language = "English (US)",

isbn = "9780769547930",

series = "Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012",

pages = "391--400",

booktitle = "Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012",

note = "2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012 ; Conference date: 07-08-2012 Through 09-08-2012",

}

Ren, C, Wang, D, Urgaonkar, B & Sivasubramaniam, A 2012, Carbon-aware energy capacity planning for datacenters. in Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012., 6298199, Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012, pp. 391-400, 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012, Washington, DC, United States, 8/7/12. https://doi.org/10.1109/MASCOTS.2012.51

Carbon-aware energy capacity planning for datacenters. / Ren, Chuangang; Wang, Di; Urgaonkar, Bhuvan et al.
Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012. 2012. p. 391-400 6298199 (Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Carbon-aware energy capacity planning for datacenters

AU - Ren, Chuangang

AU - Wang, Di

AU - Urgaonkar, Bhuvan

AU - Sivasubramaniam, Anand

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

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DO - 10.1109/MASCOTS.2012.51

M3 - Conference contribution

AN - SCOPUS:84868224677

SN - 9780769547930

T3 - Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012

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EP - 400

BT - Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012

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Y2 - 7 August 2012 through 9 August 2012

ER -

Ren C, Wang D, Urgaonkar B , Sivasubramaniam A. Carbon-aware energy capacity planning for datacenters. In Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012. 2012. p. 391-400. 6298199. (Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012). doi: 10.1109/MASCOTS.2012.51

Carbon-aware energy capacity planning for datacenters

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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