Energy storage in datacenters: what, where, and how much?

Energy storage - in the form of UPS units - in a datacenter has been primarily used to fail-over to diesel generators upon power outages. There has been recent interest in using these Energy Storage Devices (ESDs) for demand-response (DR) to either shift peak demand away from high tariff periods, or to shave demand allowing aggressive under-provisioning of the power infrastructure. All such prior work has only considered a single/specific type of ESD (typically re-chargeable lead-acid batteries), and has only employed them at a single level of the power delivery network. Continuing technological advances have provided us a plethora of competitive ESD options ranging from ultra-capacitors, to different kinds of batteries, flywheels and even compressed air-based storage. These ESDs offer very different trade-offs between their power and energy costs, densities, lifetimes, and energy efficiency, among other factors, suggesting that employing hybrid combinations of these may allow more effective DR than with a single technology. Furthermore, ESDs can be placed at different, and possibly multiple, levels of the power delivery hierarchy with different associated trade-offs. To our knowledge, no prior work has studied the extensive design space involving multiple ESD technology provisioning and placement options. This paper intends to fill this critical void, by presenting a theoretical framework for capturing important characteristics of different ESD technologies, the trade-offs of placing them at different levels of the power hierarchy, and quantifying the resulting cost-benefit trade-offs as a function of workload properties.

[1]  Urs Hölzle,et al.  The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, Second Edition , 2013, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, Second Edition.

[2]  Anand Sivasubramaniam,et al.  Leveraging stored energy for handling power emergencies in aggressively provisioned datacenters , 2012, ASPLOS XVII.

[3]  Jie Li,et al.  Towards Optimal Electric Demand Management for Internet Data Centers , 2012, IEEE Transactions on Smart Grid.

[4]  Anand Sivasubramaniam,et al.  Towards realizing a low cost and highly available datacenter power infrastructure , 2011, HotPower '11.

[5]  Amir Michael,et al.  Facebook: The open compute project , 2011, 2011 IEEE Hot Chips 23 Symposium (HCS).

[6]  Didier Mayer,et al.  The role of energy storage for mini-grid stabilization , 2011 .

[7]  Chao Li,et al.  Characterizing and analyzing renewable energy driven data centers , 2011, PERV.

[8]  Anand Sivasubramaniam,et al.  Benefits and limitations of tapping into stored energy for datacenters , 2011, 2011 38th Annual International Symposium on Computer Architecture (ISCA).

[9]  Thomas F. Wenisch,et al.  Power management of online data-intensive services , 2011, 2011 38th Annual International Symposium on Computer Architecture (ISCA).

[10]  Theodoros Salonidis,et al.  Optimal Control of Residential Energy Storage Under Price Fluctuations , 2011 .

[11]  Australia Pty,et al.  Integrated Renewable Energy Infrastructure - Challenges And Opportunities , 2011 .

[12]  Christopher Stewart,et al.  Concentrating renewable energy in grid-tied datacenters , 2011, Proceedings of the 2011 IEEE International Symposium on Sustainable Systems and Technology.

[13]  Anand Sivasubramaniam,et al.  Optimal power cost management using stored energy in data centers , 2011, PERV.

[14]  Prashant J. Shenoy,et al.  Blink: managing server clusters on intermittent power , 2011, ASPLOS XVI.

[15]  Gargi Dasgupta,et al.  BrownMap: Enforcing Power Budget in Shared Data Centers , 2010, Middleware.

[16]  Mor Harchol-Balter,et al.  Optimality analysis of energy-performance trade-off for server farm management , 2010, Perform. Evaluation.

[17]  Jerome A. Rolia,et al.  Capacity planning and power management to exploit sustainable energy , 2010, 2010 International Conference on Network and Service Management.

[18]  Margaret Martonosi,et al.  Capping the brown energy consumption of Internet services at low cost , 2010, International Conference on Green Computing.

[19]  Ramesh Govindan,et al.  Energy-delay tradeoffs in smartphone applications , 2010, MobiSys '10.

[20]  Anand Sivasubramaniam,et al.  Worth their watts? - an empirical study of datacenter servers , 2010, HPCA - 16 2010 The Sixteenth International Symposium on High-Performance Computer Architecture.

[21]  Virgílio A. F. Almeida,et al.  Quantifying the sustainability impact of data center availability , 2010, PERV.

[22]  Thomas F. Wenisch,et al.  Power routing: dynamic power provisioning in the data center , 2010, ASPLOS XV.

[23]  Mor Harchol-Balter,et al.  Optimal power allocation in server farms , 2009, SIGMETRICS '09.

[24]  James R. Hamilton,et al.  Internet-scale service infrastructure efficiency , 2009, ISCA '09.

[25]  K. C. Divya,et al.  Battery Energy Storage Technology for power systems-An overview , 2009 .

[26]  Haisheng Chen,et al.  Progress in electrical energy storage system: A critical review , 2009 .

[27]  Amotz Bar-Noy,et al.  Peak Shaving through Resource Buffering , 2009, WAOA.

[28]  Bo Li,et al.  An Empirical Study of Flash Crowd Dynamics in a P2P-Based Live Video Streaming System , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[29]  Md. Yusuf Sarwar Uddin,et al.  Virtual Battery: An Energy Reserve Abstraction for Embedded Sensor Networks , 2008, 2008 Real-Time Systems Symposium.

[30]  Massimiliano Petri,et al.  Renewable Energy Sources: The Case of Wind Farms Analysis , 2008, ICCSA.

[31]  Suman Nath,et al.  Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services , 2008, NSDI.

[32]  Wolf-Dietrich Weber,et al.  Power provisioning for a warehouse-sized computer , 2007, ISCA '07.

[33]  Susan M. Schoenung,et al.  Long- vs. short-term energy storage technologies analysis : a life-cycle cost study : a study for the DOE energy storage systems program. , 2003 .

[34]  Amin Vahdat,et al.  ECOSystem: managing energy as a first class operating system resource , 2002, ASPLOS X.

[35]  Amin Vahdat,et al.  Managing energy and server resources in hosting centers , 2001, SOSP.

[36]  Carey L. Williamson,et al.  Internet Web servers: workload characterization and performance implications , 1997, TNET.

[37]  D. V. Ragone Review of Battery Systems for Electrically Powered Vehicles , 1968 .

[38]  D. Brooks,et al.  RETROSPECTIVE: Wattch: A Framework for Architectural-level Power Analysis and Optimizations , 2023 .

[39]  David E. Irwin,et al.  RETROSPECTIVE: Ensemble-level Power Management for Dense Blade Servers , 2023 .

[40]  H. Balakrishnan,et al.  “ Cutting the Electric Bill for Internet-Scale Systems , ” , 2015 .

[41]  Christopher Stewart,et al.  Some Joules Are More Precious Than Others: Managing Renewable Energy in the Datacenter∗ , 2009 .

[42]  P. F. Grimm,et al.  Data center TCO; a comparison of high-density and low-density spaces White Paper , 2007 .