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Grid Heating Managing Thermal Loads with Condor Paul Brenner University of Notre Dame Center for Research Computing

Grid Heating Managing Thermal Loads with Condor

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Grid Heating Managing Thermal Loads with Condor. Paul Brenner University of Notre Dame Center for Research Computing. Motivation. Utility costs for US Servers to grow from 4.5 billion in 2006 to 7.4 billion in 2011. Ref: US EPA 2007. Motivation. Power Requirements in Context - PowerPoint PPT Presentation

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Page 1: Grid Heating Managing Thermal Loads with Condor

Grid HeatingManaging Thermal Loads with Condor

Paul Brenner

University of Notre DameCenter for Research Computing

Page 2: Grid Heating Managing Thermal Loads with Condor

Motivation• Utility costs for US Servers to grow from

4.5 billion in 2006 to 7.4 billion in 2011

2Ref: US EPA 2007

Page 3: Grid Heating Managing Thermal Loads with Condor

Motivation• Power Requirements in Context

Typical AMD/Intel CPU 60-120 W1U Server 300 WAir Cooled Comp Rack 5-25 kWWater Cooled Comp Rack 25-50 kWCRC load at Union Station 150 kWND Data Center load 250 kWNCSA PetaScale Facility 25 MWMicrosoft Facility (Unpublished) 125 MW7.4 Billion Dollars in 2011 11.4 GW

Page 4: Grid Heating Managing Thermal Loads with Condor

Challenges

local distribution lines

to the building, 480 V

HVAC system

lights, office space, etc.

UPS PDU computer racks

backup diesel generators

Electricity Flows in Data CentersElectricity Flows in Data Centers

computerequipment

uninterruptible

load

UPS = Uninterruptible Power Supply

PDU = Power Distribution Unit;

Ref: William Tschudi LBNL

Page 5: Grid Heating Managing Thermal Loads with Condor

Challenges

Ref: Michael Patterson, Intel Corporation & William Tschudi LBNL

Page 6: Grid Heating Managing Thermal Loads with Condor

Challenges• Key operational considerations

– Physical• Temperature• Humidity• Particulate

– Practical• Security• Bandwidth• Reliability/Redundancy/Disaster Recovery• Access• Acoustics

Page 7: Grid Heating Managing Thermal Loads with Condor

A New Framework• Grid Heating

– Design and deploy the IT infrastructure in correlation with target industrial and municipal heat sinks

– Reduce or remove operational and capital IT cooling costs

– Provide thermal benefit to industrial/municipal partner at a shared economic savings

– Direct environmental through reduction in thermal waste

Page 8: Grid Heating Managing Thermal Loads with Condor

Deployment• Must address operational IT considerations

– Physical• Temperature, Humidity, Particulate

– Practical• Security, Bandwidth, Access, Acoustics• Reliability/Redundancy/Disaster Recovery

• Utilization relative to hardware capital costs– 365 x 24 designs preferred– Select granularity of grid distribution accordingly

Page 9: Grid Heating Managing Thermal Loads with Condor

Two Example Models• High Granularity Grid Heating Appliances

• Coarse GranularityGrid Heating Clusters

Page 10: Grid Heating Managing Thermal Loads with Condor

Experimental Results• Fine Grained Temperature Control

Page 11: Grid Heating Managing Thermal Loads with Condor

Experimental Results

# Grid Heating machine config template

CLUSTER_ADMIN_MACHINES = normalmodes.cse.nd.edu

MachineOwnerUnquoted = pbrenne1MachineGroupUnquoted = crcMachinePreferredUsers = "pbrenne1"

Temperature=curTemp

START=(Owner=="pbrenne1") && ($(Temperature)<startTemp)SUSPEND=($(Temperature)>targTemp)CONTINUE=($(Temperature)<targTemp) && ($(ActivityTimer)>60)PREEMPT=($(Temperature)>maxTemp)

MaxSuspendTime= 3600

Page 12: Grid Heating Managing Thermal Loads with Condor

Experimental Results• GHC and GHA in the South Bend Greenhouse

and Botanical Garden (SBG)– SBG struggles to retain sufficient funding. Annual

heating costs are a primary factor (over 100K in 2005 & 2006, forced closure of some sections in 2007).

Page 13: Grid Heating Managing Thermal Loads with Condor
Page 14: Grid Heating Managing Thermal Loads with Condor

Greenhouse Factors (Physical)• Temperature

– Louvered Outside Air Vents and Exhaust Fan

• Humidity– Existing Steam Humidification for Plants

• Particulate– Under Investigation

Page 15: Grid Heating Managing Thermal Loads with Condor

Temperature and Humidity

ASHRAE Allowable Maximum

ASHRAE Allowable Minimum

ASHRAE Recommended Maximum

ASHRAE Recommended Minimum

ASHRAE TEMPERATURE GUIDELINES

40

50

60

70

80

90

100

Deg

rees

F

ASHRAE Allowable Maximum

ASHRAE Allowable Minimum

ASHRAE Recommended Maximum

ASHRAE Recommended Minimum

ASHRAE HUMIDITY GUIDELINES

0

10

20

30

40

50

60

70

80

90

100

% R

elat

ive

Hum

idity

ASHRAE Allowable Maximum

ASHRAE Allowable Minimum

ASHRAE Recommended Maximum

ASHRAE Recommended Minimum

Ref: ASHRAE & William Tschudi LBNL

Page 16: Grid Heating Managing Thermal Loads with Condor

ParticulateOutdoor MeasurmentsFine Particulate Matter

0

20

40

60

80

100

120

140

160

12:00PM

6:00PM

12:00AM

6:00AM

12:00PM

6:00PM

12:00AM

6:00AM

12:00PM

6:00PM

12:00AM

6:00AM

12:00PM

6:00PM

12:00AM

6:00AM

12:00PM

6:00PM

12:00AM

Part

icle

Con

c. (

mg/

m3 ) LBNL

NERSC

Center 3

Center 4

Center 5

Center 6

Center 7

Center 8

IBM Standard

EPA Annual Health Standard

EPA 24-Hour Health Standard

and ASHRAE Standard

Ref: William Tschudi LBNL

Page 17: Grid Heating Managing Thermal Loads with Condor

Greenhouse Factors (Practical)• Security

– Public facility open daily– Monitored/Paid admission– Hardware locked in compute rack– Power and network cable into rack, exposed

• Network– Cyberlink wireless broadband 4-15MB– Ownership… VPN in hindsight– Security

• Firewalls everywhere: clients, routers, servers

Page 18: Grid Heating Managing Thermal Loads with Condor

Greenhouse Factors (Practical)• Reliability/Redundancy/Disaster Recovery

– SPF secured against accidental interruption– Need power backup (battery)– Susceptible to public vandalism– Provides decentralized of resources for DR

• Access– 10min drive from CRC offices (~distance to US)

• Acoustics– Significant echo in the dome. Sustained white noise

is not magnified.

Page 19: Grid Heating Managing Thermal Loads with Condor

Phase 1 Complete

Page 20: Grid Heating Managing Thermal Loads with Condor

Phase 1 Complete

Page 21: Grid Heating Managing Thermal Loads with Condor

Grid Heating Appliance• No data persistence

– Transmit, compute, transmit, forget– Appliance OS in ‘Firmware’

• Rugged– Minimal components: No hard drive

• Mobile– Wireless networking

• Invisible– Small and Quiet (Special fan/heat sink)

Page 22: Grid Heating Managing Thermal Loads with Condor

Grid Heating Appliance

Page 23: Grid Heating Managing Thermal Loads with Condor

Acknowledgements• City of South Bend

– Steve Luecke (Mayor), Tom LaFountain, Gary Gilot, Bob Monroe

• ND Center for Research Computing– Dewitt Latimer, Rich Sudlow

• ND Dept of Computer Science and Engineering– Doug Thain (CCL)– Jesus Izaguirre & Christopher Sweet (LCLS)– Curt Freeland– Mike Kelly and Mike Lammie (ND CSE Undergrads)

Page 24: Grid Heating Managing Thermal Loads with Condor

Questions?

Page 25: Grid Heating Managing Thermal Loads with Condor

Energy Conversions• Power and Energy

– 1 kWh = 3.6 Megajoules– 1 Therm (100,000 BTU) = 105.5 Megajoules– 1 Therm = 29.3 kWh

• What does it cost?– $0.086 /kWh (US DOE EIA commercial)– $0.013 /cubic ft ~ $ 1.30 /therm

• Resolve Unit Cost into MJ– $23.89 /1000 MJ (electric)– $12.32 /1000 MJ (natural gas)

Page 26: Grid Heating Managing Thermal Loads with Condor

Energy At The Greenhouse• Annual heating costs are a primary factor

– over 100K in 2005 & 2006, closed some buildings in 2007 due to heating costs

• Strong seasonal dependence– 18,000 therm natural gas load in Jan 08

• 527,400 kWHr → 732.5 kW Max Seasonal Load• Not practical to size for maximum load• Select optimal baseline, supplement with nat gas

– Desert Dome ~8% of sqft → 59 kW

Page 27: Grid Heating Managing Thermal Loads with Condor

Related Work (Data Centers)• Lawrence Berkeley National Lab– High-Performance Buildings for High-Tech Industries– http://hightech.lbl.gov

• NCSA– Building the Data Center of the Future, 2008 Symposium

• Uptime Institute– Green Enterprise Computing, 2008 Symposium

• ASHRAE TC 9.9– Mission Critical Facilities, Technology Spaces & Electronic Equip

• Green Grid– Global consortium to advance energy efficiency in data centers

Page 28: Grid Heating Managing Thermal Loads with Condor

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References • US EPA Tech Report 109-431

– Report to congress on server and data center energy efficiency

• 24x7 Energy Efficiency Presentation– William Tschudi Lawrence Berkley Nat Lab

• ASHRAE TC9.9– Thermal Guidelines for Data Processing Equipment

• Condor High Throughput Computing– www.cs.wisc.edu/condor

Page 29: Grid Heating Managing Thermal Loads with Condor

Related Work (Grid Arch)