Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2254756.2254780 | SIGMETRICS |
Keywords | Field | DocType |
energy storage,power hierarchy,different level,different associated trade-offs,power delivery hierarchy,different trade-offs,power infrastructure,different kind,prior work,power delivery network,different esd technology,datacenters,energy efficient | Energy storage,Efficient energy use,Computer science,Simulation,Workload,Flywheel,Provisioning,Peak demand,Compressed air,Reliability engineering,Cost reduction,Distributed computing | Conference |
Volume | Issue | ISSN |
40 | 1 | 0163-5999 |
Citations | PageRank | References |
87 | 3.76 | 27 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Di Wang | 1 | 1337 | 143.48 |
| Chuangang Ren | 2 | 239 | 10.04 |
| Anand Sivasubramaniam | 3 | 4485 | 291.86 |
| Bhuvan Urgaonkar | 4 | 2309 | 158.10 |
| Hosam K. Fathy | 5 | 268 | 38.19 |