Power Management System - IBM - United States

Dynamic Power Management Dynamic Power Management in the Data Centerin the Data CenterIBM Power and Cooling SymposiumRaleigh, NC04 October 2007Bharat S. ShahEmerson Network [email protected]

04 Oct 2007 Slide 2

AgendaAgendaAgendaPower Management ChallengesIT Equipment Power Reduction SchemesFacility Infrastructure Power ImprovementsDynamic Power Management SystemSummary

04 Oct 2007 Slide 3

Power Management ChallengesPower Management ChallengesPower Management ChallengesOver the next five years, power failures and limits on power availability will halt data center operations at more than 90% of all companies (AFCOM (DCI))By 2008, 50% of data centers will have insufficient power and cooling capacity to meet the demands of higher density equipment (Gartner)Power and cooling spending will exceed server spending within 2 years (IDC, Gartner)Power associated with servers, storage and network equipment will increase from 1.5% of total US energy consumption to 2.5% by 2011 (EPA)

Source: EPA, Andrew Fanara

04 Oct 2007 Slide 4

Current Data Center Power ConsumptionCurrent Data Center Power ConsumptionCurrent Data Center Power Consumption

Source: Green Grid Feb 2007

Source: EYP Mission Critical Facilities Inc., Emerson estimate

Electricity Transformer

UPS10%

Air Movement

12%

Cooling25%

Lighting, etc.3%

Other IT Equipment

8%

Servers42%

04 Oct 2007 Slide 5

No System Linkage-Workflow Processes at Best-Typically E-Mail/Phone Communication-Reactive Mode at Worst

No System Linkage-Workflow Processes at Best-Typically E-Mail/Phone Communication-Reactive Mode at Worst

Current Data Center Power ManagementCurrent Data Center Power ManagementCurrent Data Center Power Management

CoolingUPSATS GenSets

3rd Party

FacilityManagement

System

ITManagement

System

RoutersServersStorage Switches

3rdParty

04 Oct 2007 Slide 6

AgendaAgendaAgendaPower Management ChallengesIT Equipment Power Reduction Schemes– Server Hardware– Virtualization Software– Dynamic Efficiency Control

04 Oct 2007 Slide 7

AC-DC / PFCPower Supply

IBC

POL Reg

POL Reg

POL Reg48

VdcPOL Reg

12Vdc

Dynamically optimize IBV

6-12

Dynamically optimize efficiency

Processor, memory and I/O loading

Server Hardware Architecture ExampleServer Hardware Architecture ExampleServer Hardware Architecture Example

DC-DC/VRM

DC-DC/VRM

DC-DC/VRM

DC-DC/VRM

04 Oct 2007 Slide 8

Source: NewsCorp IDC Virtualization Forum, Feb 2006

Virtualization SoftwareVirtualization SoftwareVirtualization Software

04 Oct 2007 Slide 9

Dynamic Efficiency ControlDigital Power SuppliesDynamic Efficiency ControlDynamic Efficiency ControlDigital Power SuppliesDigital Power Supplies

Dynamic efficiency enhancement based on load fluctuation thru virtualization (via digital power supplies)

Efficiency Curve Shaping: This is an optimized 760W 1+1 power supply for a data center application. It is optimized for efficiency at 20% to 50% load –the range in which it will operate for 98% of its service life.

Source: Emerson Internal

High Line (230V) Efficiency

7577798183858789919395

10 20 30 40 50 60 70 80 90 100

Percent Load

Effic

ienc

y

TodayOptimized

04 Oct 2007 Slide 10

Dynamic Efficiency ControlPMBus™ CommunicationDynamic Efficiency ControlDynamic Efficiency ControlPMBusPMBus™™ CommunicationCommunication

PMBus™ compliant power supplies provide in-band / out-of-band access to sensors, reporting power consumption data via SMBusGUI displays system power consumption reported by Digital Power Supply

AC/DC PSU

AC/DC PSU

MotherboardManagementController(s)

System Applications

Data Center Applications

WSMAN

ComponentsPMBusTM

Source: IntelIntel Developers Forum, Apr 2007


AgendaAgendaAgendaPower Management ChallengesIT Equipment Power Reduction SchemesFacility Infrastructure Power Improvements– Digitally-Controlled Compressors– Scalable UPS Systems– Plug-and-Play Cooling Capacity


Digitally-Controlled CompressorsDigitallyDigitally--Controlled CompressorsControlled Compressors

Continuously variable capacity compressors dramatically reduce the frequency of start/stop cycles –

saving energy and significantly increasing MTBF.

Average Compressor Cycles per Year

0

500010000

15000

20000

2500030000

35000

Sin

gle

com

pres

sor

Sin

gle

circ

uit

Two

com

pres

sor

Dua

l circ

uit

Two

com

pres

sor

(SH

)w

ith u

nloa

ding

Dua

l circ

uit

Sin

gle

com

pres

sor

(Dig

ital)

fully

var

iabl

eSi

ngle

circ

uit

Two

com

pres

sor

(Dig

ital)

fully

var

iabl

eD

ual c

ircui

t

System Type

Ann

ual C

ompr

esso

r C

ycle

s


Scalable UPS SystemsScalable UPS SystemsScalable UPS Systems

Capacity added via software key (enables additional capacity without hardware addition/change)Examples: – Soft-Scale (fine adjustment)

• 40kVA → 60kVA → 80kVA• 80kVA → 100kVA → 120kVA• 120kVA → 160kVA → 200kVA

Scalable systems enable pay-as-you-go capacity without over-engineering for maximum capacity –

saving equipment capex and energy opex.

80 kVA – 100 kVA – 120 kVA


Plug-and-Play Cooling CapacityPlugPlug--andand--Play Cooling CapacityPlay Cooling Capacity

Supplemental cooling can be added to hot-spotssaving energy and minimizing labor costs.

Pre-installed Piping Quick-Connect

SupplementalCooling


AgendaAgendaAgendaPower Management ChallengesIT Equipment Power Reduction SchemesFacility Infrastructure Power ImprovementsDynamic Power Management System


Open Bus

Power Management System-Centralized or Distributed Intelligence-Optimization Policies / Business Rule Engine-Manual or Auto-Pilot Operation

Power Management System-Centralized or Distributed Intelligence-Optimization Policies / Business Rule Engine-Manual or Auto-Pilot Operation

Dynamic Power Management SystemBridging/Optimizing IT and Facility SystemsDynamic Power Management SystemDynamic Power Management SystemBridging/Optimizing IT and Facility SystemsBridging/Optimizing IT and Facility Systems

CoolingUPSATS GenSets

3rd Party

FacilityManagement

SystemProprietary

orOpen

Open

ITManagement

System

RoutersServersStorage Switches

3rdParty

Open

Open Bus


Dynamic Power Management SystemDynamic Power Management SystemDynamic Power Management SystemReduce Energy Costs– Equipment power control (on/off/standby) and

equipment provisioning in response to dynamic computing demand

Reduce Cooling Needs– Balanced cooling based on dynamic IT workload

conditions

Improve Capacity Planning– Scenario planning of power/cooling infrastructure

changes in response to computing load changes


Dynamic Power Management SystemsReduce Energy CostsDynamic Power Management SystemsDynamic Power Management SystemsReduce Energy CostsReduce Energy Costs

Optimize energy consumption across the entire data center in response to IT workload variationsCapture additional savings based on utility availability or rate structureServers /

Digital Power Supplies

UPS Systems

ATS/Gen Sets

Cooling Systems

System Integration

Optimize power consumptionfrom CHIP to GRID.


Dynamic Power Management SystemsReduce Cooling NeedsDynamic Power Management SystemsDynamic Power Management SystemsReduce Cooling NeedsReduce Cooling Needs

Set rules to adapt cooling to the load– Manage compressor load across units – Manage humidification & dehumidification– Cycle units, rotate standby units

Further reduce energy costs andextend life of cooling equipment.


Dynamic Power Management SystemsImprove Capacity PlanningDynamic Power Management SystemsDynamic Power Management SystemsImprove Capacity PlanningImprove Capacity Planning

Match power / cooling capacity with computing resource consumption– Determine if additional

computing resources can be added within a specific power and cooling budget in the same physical space

– Or if new space is required to house these additional computing resources

Avoid reactive crises through proactive planning ofcomputing and infrastructure change scenarios.


Now•Modular systems•Adaptive scalablearchitecture•Separate systems forpower, cooling,…..

2008,2009 - ----•Integrated, dynamically optimized adaptive systems

•Virtualization and load balancing linked to power and cooling

•Intelligent models for control and Optimization/Advance fault notification

With Power M

anagement

With Power M

anagement

Sepa

rate

Inte

grat

ed

2007-

Monitoring & LimitedConventional Controls

Adaptive Intelligent Controls

2008

Sensing &

Control

2007-2008

Real time monitoring

Prov

isio

ning

Dynamically Optimized Data CenterDynamically Optimized Data CenterDynamically Optimized Data Center

Type of Control


AgendaAgendaAgendaPower Management ChallengesIT Equipment Power Reduction SchemesFacility Infrastructure Power ImprovementsDynamic Power Management SystemSummary


SummarySummarySummaryIT and Facility equipment continue to evolve intelligently– Higher Efficiency, Digital Control and Virtualization

Current management, monitoring and control software optimize IT and Facility systems independentlyBridging the IT and Facility systems with an integrated Power Management solution dynamically optimizes efficiency across the entire Data Center


Power Operating SystemConceptual Data FlowPower Operating SystemPower Operating SystemConceptual Data FlowConceptual Data Flow

Power Management System - IBM - United States

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