Opportunities For Combined Heat And Power In Data Centers - Energy

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Opportunities forCombined Heat and Powerin Data CentersMarch 2009Prepared for:Oak Ridge National LaboratorySubcontract Number: 4000021512Prepared by:Ken DarrowBruce HedmanICF International1655 N. Fort Myer DriveArlington, VA 22209

DOCUMENT AVAILABILITYReports produced after January 1, 1996, are generally available free via the U.S. Department ofEnergy (DOE) Information Bridge.Web site http://www.osti.gov/bridgeReports produced before January 1, 1996, may be purchased by members of the public from thefollowing source.National Technical Information Service5285 Port Royal RoadSpringfield, VA 22161Telephone 703-605-6000 (1-800-553-6847)TDD 703-487-4639Fax 703-605-6900E-mail info@ntis.govWeb site ts are available to DOE employees, DOE contractors, Energy Technology Data Exchange(ETDE) representatives, and International Nuclear Information System (INIS) representatives fromthe following source.Office of Scientific and Technical InformationP.O. Box 62Oak Ridge, TN 37831Telephone 865-576-8401Fax 865-576-5728E-mail reports@osti.govWeb site http://www.osti.gov/contact.htmlThis report was prepared as an account of work sponsored by anagency of the United States Government. Neither the United StatesGovernment nor any agency thereof, nor any of their employees,makes any warranty, express or implied, or assumes any legalliability or responsibility for the accuracy, completeness, orusefulness of any information, apparatus, product, or processdisclosed, or represents that its use would not infringe privatelyowned rights. Reference herein to any specific commercial product,process, or service by trade name, trademark, manufacturer, orotherwise, does not necessarily constitute or imply its endorsement,recommendation, or favoring by the United States Government orany agency thereof. The views and opinions of authors expressedherein do not necessarily state or reflect those of the United StatesGovernment or any agency thereof.

ORNL/TM-2009/052Energy and Transportation Science DivisionOpportunities for Combined Heat and Power in Data CentersPrepared byKen DarrowBruce HedmanICF International55 N. Fort Myer DriveArlington, VA 22209under Subcontract 4000021512Date Published: March 2009Prepared forOAK RIDGE NATIONAL LABORATORYOak Ridge, Tennessee 37831-6283managed byUT-BATTELLE, LLCfor theU.S. DEPARTMENT OF ENERGYunder contract DE-AC05-00OR22725

Table of ContentsPageList of Figures . vList of Tables . viiAbbreviated Terms. ixAcknowledgements . xiIntroduction. 1Data Center Market Segmentation . 1Business Applications. 2Facility Size . 3Geographic Markets. 5Data Center Availability Classification System and Standard . 7Growth Forecasts . 9Data Center Energy Use Trends . 9Overall Market Energy Use and Growth . 9Data Center Energy Usage Profile. 11Data Center Cooling . 13Power Conditioning, UPS, and Backup Power. 18CHP Applicability and Configuration for Data Centers . 20CHP Technologies . 20Absorption Chiller Matching to CHP . 22On-site Power Generation and Power Reliability for Data Centers . 23CHP Economics . 25Data Center Loads for CHP Economic Analysis . 26CHP Equipment Selection and Sizing . 28CHP Payback Analysis . 30Primary Energy and GHG Comparison . 34Energy Efficiency Metric for Data Centers . 40Examples of CHP Systems in Data Centers and Facilities with Data Processing Loads . 41Example Fuel Cell Application . 41Example Gas Turbine Application. 43CHP Market Drivers and Hurdles. 44CHP Market Drivers for Data Centers. 44Barriers to CHP Implementation in Data Centers. 45CHP Paths to Market . 46Conclusions. 48ICF International, Inc.iii

List of 6:17:PagePrimary Internet Cable Connections and User Nodes . 6Collocation Facilities Top 20 States . 6Projected 5-Year Electricity Consumption Growth in Data Centers byMarket Segment, Assuming Continuation of Current Energy Trends . 11Examples of Data Center Energy Usage Shares . 12Average Computer Room Energy Usage Intensities in theLBNL Benchmarking Study . 13HVAC Share of Total Data Center Loads . 14Typical Data Center HVAC Hot Aisle Cold Aisle Layout . 15Server Rack and Air Conditioning Layout for a 10,000 sq. ftData Center at 500 W/sq. ft. . 15Increase in Power Densities for IT Equipment . 18Power Layout for 25,000 sq. ft. Data Center in San Diego, California . 19CHP System Layout for Data Center . 20Sensitivity of Payback to Average Electric Rate. 33Schematic of CHP Efficiency and GHG Emissions Benefits for5 MW of Core Load . 34NERC Subregions . 37Comparison of Primary Energy Savings, 1,000 kW IT Case . 39GHG Emissions Savings, 1,000 kW IT Case . 39GHG Emissions Savings, 10,000 kW IT Case . 40ICF International, Inc.v

List of 17:18:19:20:PageData Center Types . 3Data Center Market Segments. 4Estimated Number of Data Centers by Size . 5Tier Classification Comparison. 7Energy Use for Data Centers. 9Server/Data Center Growth by Facility Size . 10Data Center Electric Capacity Requirements by Year . 11Overall Dedicated Computer Facility Electric Load Calculation . 16Cooling Electrical Requirements as a Function of Cooling SystemType and Efficiency . 17CHP Technology Types for Data Center Applications . 21Nominal 1,000 kW Efficient IT Load Analysis . 27Nominal 10,000 kW IT Load Analysis . 28Example CHP Systems Cost and Performance for 1,000 and 10,000Nominal IT Load Cases . 29Representative CHP Economics in Best Practices Facility . 31CHP Paybacks for Alternative Facility Configurations . 33U.S. Combined Marginal Grid GHG Intensity Factors . 36Energy and GHG Emissions for Nominal 1,000 kW Efficient IT Case Analysis. 37Energy and GHG Emissions for Nominal 10,000 kW Efficient IT Case Analysis. 38Primary Energy DCIE . 41CHP Installations in Data Center and Communications Facilities. 42ICF International, Inc.vii

Abbreviated UPEMPUERD&DRecipRPPT&DTelcoUPSVoIPVRAmerican Society of Heating Refrigeration and Air-Conditioning EngineersCompound annual growth rateCombined heat and powerCo-located server hosting facilityCoefficient of performanceComputer room air conditionerComputer room air handlerCubic feet per minuteData center infrastructure efficiencyDirect expansion air conditionerEnergy efficiency ratioEmissions & Generation Resource Integrated Database (maintained by theU.S. Environmental Protection Agency)Emergency power off switchEmergency supply busEnergy Usage IntensityFederal Energy Management ProgramGreenhouse gas emissionsHigher heating valueHeating, ventilation, and air conditioningInformation technology, used here to refer to the computer equipment electric loadLeadership in Environmental and Energy DesignMaster supply busNorth American Industrial Classification SystemNorth-American Electricity Reliability CorporationOperating and maintenancePhosphoric acid fuel cellPower distribution unitProton exchange membrane fuel cellPower usage effectivenessResearch, development, and demonstrationReciprocating engine generatorRemote power panelElectric transmission and distributionTelecommunication facilityUninterruptible Power SupplyVoice over internet protocolVoltage regulatorICF International, Inc.ix

AcknowledgmentsThis report and the work described were sponsored by the U.S. Department of Energy (DOE)Office of Energy Efficiency and Renewable Energy (EERE) Industrial Technologies Program.The authors gratefully acknowledge the support and guidance of Paul Scheihing, Bob Gemmer,and Amy Manheim at DOE. The authors thank several Oak Ridge National Laboratory staff whohave made contributions to the report, including Patti Garland, Abdi Zaltash, and Ed Pierce.The authors also wish to thank the many industry experts for their thorough review andconstructive recommendations, including Dale Sartor and William Tschudi at LawrenceBerkeley National Laboratory; Kenneth Brill and Vince Renaud at the Uptime Institute, Inc.;Bob Tierney, Tim Wagner, Rob Roche, David Paul, and Ed Baker at United Technologies; TomPierson, Gary Hilberg, and Don Fiorino at Turbine Air Systems; and Joe McGervey atEnergetics, Inc.ICF International, Inc.xi

IntroductionData centers represent a rapidly growing and very energy intensive activity in commercial,educational, and government facilities. In the last five years the growth of this sector was theelectric power equivalent to seven new coal-fired power plants. Data centers consume 1.5%of the total power in the U.S. Growth over the next five to ten years is expected to require asimilar increase in power generation. This energy consumption is concentrated in buildingsthat are 10-40 times more energy intensive than a typical office building. The sheer size ofthe market, the concentrated energy consumption per facility, and the tendency of facilities tocluster in “high-tech” centers all contribute to a potential power infrastructure crisis for theindustry.Meeting the energy needs of data centers is a moving target. Computing power is advancingrapidly, which reduces the energy requirements for data centers. A lot of work is going intoimproving the computing power of servers and other processing equipment. However, thisincrease in computing power is increasing the power densities of this equipment. Whilefewer pieces of equipment may be needed to meet a given data processing load, the energydensity of a facility designed to house this higher efficiency equipment will be as high as orhigher than it is today. In other words, while the data center of the future may have the ITpower of ten data centers of today, it is also going to have higher power requirements andhigher power densities.This report analyzes the opportunities for CHP technologies to assist primary power inmaking the data center more cost-effective and energy efficient. Broader application of CHPwill lower the demand for electricity from central stations and reduce the pressure on electrictransmission and distribution infrastructure.This report is organized into the following sections: Data Center Market Segmentation – the description of the overall size of themarket, the size and types of facilities involved, and the geographic distribution.Data Center Energy Use Trends – a discussion of energy use and expected energygrowth and the typical energy consumption and uses in data centers.CHP Applicability – Potential configurations, CHP case studies, applicableequipment, heat recovery opportunities (cooling), cost and performance benchmarks,and power reliability benefitsCHP Drivers and Hurdles – evaluation of user benefits, social benefits, marketstructural issues and attitudes toward CHP, and regulatory hurdles.CHP Paths to Market – Discussion of technical needs, education, strategicpartnerships needed to promote CHP in the IT community.Data Center Market SegmentationA data center is a facility used for housing a large amount of electronic equipment, typicallycomputers and communications equipment. It generally includes environmental controls (airconditioning, fire suppression, etc.), redundant/backup power supplies, redundant dataICF International, Inc.1

communications connections and high security. As the name implies, a data center is usuallymaintained by an organization for the purpose of handling the data necessary for itsoperations. A bank for example may have a data center, where all its customers' accountinformation is maintained and transactions involving these data are carried out. Practicallyevery company that is mid-sized or larger has some kind of data center with the largercompanies often having dozens of data centers. Most large cities have many purpose-builtdata center buildings in secure locations close to telecommunications services. Most co location centers and Internet peering points are located in these kinds of facilities.In this section the market is segmented three ways1. by business application2. by facility size3. by power security/reliability4. by geographic locationBusiness ApplicationsThere are several categories of data centers as shown in Table 11: While these applicationsoften have quite different functions, there is a continuing process of technical convergencemaking these applications more similar. For example, server systems are beginning to beused to replace mainframe computers; telephone systems are transitioning to internetoperations.2Data centers are classified under the North American Industrial Classification System(NAICS) in two specific places: Online Information Services – NAICS 514191– Internet access providers, Internetservice providers, and similar establishments engaged in providing access throughtelecommunications networks to computer-held information compiled or published.Server Farms Fall In This Area. Data Processing Services – NAICS 5142 –Establishments providing electronic dataprocessing services. These establishments may provide complete processing andpreparation of reports from data supplied by customers; specialized services, such asautomated data entry services; or may make data processing resources available toclients on an hourly or timesharing basis.1ACEEE: Overview of Data Centers and Their Implications for Energy Demand, Elizabeth Brown, R. NealElliott, and Anna Shipley, American Council for an Energy-Efficient Economy, Washington, DC, September20012William Ryan, Targeted CHP Outreach in Selected Sectors of the Commercial Market, for Oak RidgeNational Laboratory, The University of Illinois at Chicago, Chicago, Illinois2ICF International, Inc.

Table 1: Data Center TypesTelecomsTelecommunication switches. These are known as telecoms or telcos. These aremore energy demanding than typical Internet data centers.3ISP’sInternet service providersCoLosCo-located server hosting facilities, also known as CoLos, where rack space isleased by tenants and computer equipment is owned and operated by tenants.Because tenants may move in and out, upgrade their computers frequently, andhave a disconnect between the energy-using facility and the billing department,energy demands tend to have greater fluctuations and to be less wellcharacterized than corporate data centers.Server FarmsData storage and hosting facilities (“internet hotels”). These facilities are builtspecifically for data storage, and often are maintained by a single company(even if it is a company that rents out servers to outsourcing groups), andtherefore the whole building can be built or retrofitted to the owners needs,including energy needs.Internet HotelsSimilar to Server FarmsCorporateData CentersCorporate data centers, include both servers and mainframe computers. Theseare the oldest types of data centers.University,NationalLaboratoryHigh performance computing (supercomputers or clusters)Data centers are used by all medium to large businesses to a greater or lesser extent. Theneed is very high for banks and other financial institutions, insurance companies, health careproviders, and large retail operations with online purchasing. Of course, internet serviceproviders are a large source of the growing need for server farms.Facility SizeRecent analyses by EPA and LBNL have characterized the data center market into fivecategories by analyzing sales of servers – the primary functional and energy usingcomponent of data centers.4,5Table 2 defines the five market segments. Server closets and server rooms, as their namessuggest, are part of other facilities, such as small to medium sized businesses whose dataneeds are relatively limited. While there are large numbers of these closets and rooms spreadthroughout the economy, they do not represent a distinct target for CHP. CHP systems are3Energy Smart Data Centers: Applying Energy Efficient Design And Technology To The Digital InformationSector, Fred Beck*Renewable Energy Policy Project, November 2001, No. 144Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431, U.S. EnvironmentalProtection Agency ENERGY STAR Program, August 2, 2007.5Jonathan G. Koomey, Estimating Total power Consumption by Servers in The U.S. and the World, LawrenceBerkeley National Laboratory, February 15, 2007.ICF International, Inc.3

Table 2: Data Center Market SegmentsSpace typeServer closetServer roomLocalized data centerMid-tier data centerEnterprise-class datacenter4Typical sizeTypical ITequipmentcharacteristics 200 sq. ft.1-2 servers.No externalstorage. 500 sq. ft.A few todozens ofservers. Noexternalstorage. 1,000 sq. ft.Dozens tohundreds ofservers.Moderateexternalstorage. 5,000 sq. ft.Hundreds ofservers.Extensiveexternalstorage.5,000 sq. ft.Hundreds tothousands ofservers.ExtensiveexternalstorageTypical site infrastructure system characteristicsTypically conditioned through an office HVAC system.To support VoIP and wireless applications, UPS andDC power systems are sometimes included in serverclosets. Environmental conditions are not as tightlymaintained as for other data center types. HVACenergy efficiency associated with server closets isprobably similar to the efficiency of office HVACsystemsTypically conditioned through an office HVAC system,with additional cooling capacity, probably in the form ofa split system specifically designed to condition theroom. The cooling system and UPS equipment aretypically of average or low efficiency because there isno economy of scale to make efficient systems morefirst-cost competitive.Typically use under-floor or overhead air distributionsystems and a few in-room CRAC units. CRAC units inlocalized data centers are more likely to be air cooledand have constant-speed fans and are thus relativelylow efficiency. Operational staff is likely to be minimal,which makes it likely that equipment orientation andairflow management are not optimized. Air temperatureand humidity are tightly monitored. However, powerand cooling redundancy reduce overall systemefficiency.Typically use under-floor air distribution and in-roomCRAC units. The larger size of the center relative tothose listed above increases the probability thatefficient cooling, e.g., a central chilled water plant andcentral air handling units with variable speed fans, isused. Staff at this size data center may be aware ofequipment orientation and airflow management bestpractices. However, power and cooling redundancymay reduce overall system efficiency.The most efficient equipment is expected to be found inthese large data centers. Along with efficient cooling,these data centers may have energy managementsystems. Equipment orientation and airflowmanagement best practices are most likelyimplemented. However, enterprise-class data centersare designed with maximum redundancy, which canreduce the benefits gained from the operational andtechnological efficiency measures.ICF International, Inc.

applied on a facility basis. The presence of data loads within a building, on the other hand,could make it more attractive for CHP by providing a core 24/7 load.Stand-alone facilities vary in size and purpose from small localized data centers up to largeenterprise class facilities. As shown in Table 3, there are 13,000 to 19,500 of these standalone facilities. These facilities represent the target for CHP application. Further, the largest1,000 to 2,500 Enterprise Class facilities potentially represent a very attractive target due tothe large concentrated power loads.Table 3: Estimated Number of Data Centers by SizeFacility TypesVolumeServersEstimatedServers perfacilityEstimated Numberof Facilities2006 ElectricUse billionkWhServer Closets1,798,0001-2900,0001,500,0003.5Server Rooms2,120,0003-3650,000-100,0004.3Localized datacenter1,820,00036-30010,000-13,0004.2Mid-tier data center1,643,000300-8002,000-40003.7800-2000 1,000-25008.8Enterprise-class3,215,000data centerSource: Energy Use EPA, 2007The characterization of the market by concentration of servers at locations does not fullydescribe how these servers function within a given facility, what power and cooling isrequired, or how these requirements dictate the floor space requirements and layout. Servertechnology is advancing over time. New servers process more information and typicallyrequire greater power. In addition, an approach called virtualization can make more effectiveuse of available equipment. Greater concentrations of power directly affect the cooling andpower conditioning requirements, and the design and effectiveness of these systemsdetermines how much floor space can be devoted to IT equipment versus cooling and powerconditioning equipment.Geographic MarketsData centers and servers tend to cluster in specific areas based on the availability ofbroadband width data communication data transmission facilities. Systems that need directaccess to the internet are located in major hubs such as San Francisco/San Jose/SiliconValley region, New York, Boston, and the Orlando/Tampa area. These locations are based onmajor high-speed optical cable connections shown in Figure 1.Collocation (or colocation) facilities represent a segment of the data center industry thatprovides rack space for lease to other businesses. Companies that build and operate their owndata centers are often very secretive about the size and capabilities, even the location of suchfacilities. Collocation facilities, however, must publicize their location and capabilities toICF International, Inc.5

Figure 1: Primary Internet Cable Connections and User Nodes6attract business tenants. As such, the geographical distribution of these facilities provides agood indication of where CHP opportunities might be for the industry as a whole. There are atotal of 1,164 facilities in the U.S. (compared to the 13,000-19,000 local, mid-tier, andenterprise class facilities identified in Table 3.) Figure 2 shows the top 20 states in terms ofnumber of facilities. These 20 states represent 85% of the total number of collocationfacilities.CaliforniaTexasFloridaNew New JerseyColoradoPennsylvaniaArizonaOhioNorth CarolinaMichiganMissouriNevadaMarylandUtah85% of U.S. Totalof 1,164 ColocationFacilities050100150200250Number of FacilitiesFigure 2: Collocation Facilities Top 20 States76ACEEE: Overview of Data Centers and Their Implications for Energy Demand, Elizabeth Brown, R. NealElliott, and Anna Shipley, American Council for an Energy-Efficient Economy, Washington, DC, September2001. Original Data from [FCC] Federal Communication Commission. 2000. Deployment of AdvancedTelecommunications Capability. Washington, DC: FCC.6ICF International, Inc.

Data Center Availability Classification System and StandardThe datacenter industry has developed a four-level Tier Performance Classification andStandard to describe the expected availability of datacenter operations within a facility. Thissystem was developed by Uptime Institute and has been adopted as the industry standard.8,9the individual tiers represent categories of site infrastructure topology that addressincreasingly sophisticated operating concepts, leading to increased site infrastructureavailability. The four tiers, summarized in Table 4, can be described as follows:Table 4: Tier Classification ComparisonFacility CharacteristicsTier ITier IINumber of Delivery Paths11Redundant ComponentsNN 1N 1minimumN 110%30%80-90%100%20-3020-301285208, 4803196540-5040-5018100208, 4806-Mar19703 Eventsover 2years at12 hourseach1 FailureEachYear2299.749%40-60100-15030-3615012-15 kV15-20199550-80150 30-36150 12-15 kV15-201995NoneRequiredNoneRequired1 Failureevery 2-5years1.699.982%1 Failureevery 5years0.899.991%Support Space to Raised FloorRatioInitial W/s.f.Ultimate W/s.f.Raised Floor Height, inchesFloor loading, lb/sq.ftUtility VoltageMonths to ImplementYear of First DeploymentRepresentative PlannedMaintenance ShutdownsRepresentative Site FailuresExpected Annual IT Downtime, hrsSite AvailabilitySource: The Uptime Institute 2 Annual12 hourshutdowns6 Failuresover 5years28.899.671%Tier III1 active,1 passiveTier IV2 activeA Tier I basic data center provides an improved environment over that of an ordin

Meeting the energy needs of data centers is a moving target. Computing power is advancing rapidly, which reduces the energy requirements for data centers. A lot of work is going into improving the computing power of servers and other processing equipment. However, this increase in computing power is increasing the power densities of this equipment.

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