Optimal Peak Shaving Using Batteries at Datacenters: Charging Risk and Degradation Model

Neda Nasiriani, George Kesidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A datacenter's power consumption is a major contributor to its operational expenditures (op-ex) as determined by peak-demand-over-billing-period based pricing which is often employed by major electric utility providers. There is a growing interest in reducing a datacenters electricity costs by using demand-throttling techniques and/or energy storage devices (batteries which are readily available at most datacenters as a backup energy source). For the latter, we present a Markov Decision Process framework based on power-demand uncertainty and a linearized battery degradation model. This framework also explicitly considers risk of over or under charging the battery resulting in higher cost-savings (up to 2×) with tractable risk. We show the complete characterization of risk-cost trade-off and cost-per-risk as a function of datacenter's workload characteristics. We also, study a linearized battery degradation model empirically, and show the accuracy of this model for bursty workloads, however there is some discrepancy between the linearized model and reality for workloads with lower variability.

Original languageEnglish (US)
Title of host publication2018 International Conference on Computing, Networking and Communications, ICNC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages58-62
Number of pages5
ISBN (Electronic)9781538636527
DOIs
StatePublished - Jun 19 2018
Event2018 International Conference on Computing, Networking and Communications, ICNC 2018 - Maui, United States
Duration: Mar 5 2018Mar 8 2018

Publication series

Name2018 International Conference on Computing, Networking and Communications, ICNC 2018

Other

Other2018 International Conference on Computing, Networking and Communications, ICNC 2018
CountryUnited States
CityMaui
Period3/5/183/8/18

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Optimal Peak Shaving Using Batteries at Datacenters: Charging Risk and Degradation Model'. Together they form a unique fingerprint.

Cite this