SlideShare a Scribd company logo
Strategies for Re-Using
Data Center Heat Energy
and Their Impact on PUE
(Both Real and Perceived)
datacenterworld.com | #datacenterworld
Information Classification: General
Speaker Background
• Thought leader and recognized expert on data center optimization with
over 25 years of experience
• Certified US Department of Energy Data Center Energy Practitioner
(DCEP) HVAC and IT Specialist
• Presented on various topics around the world:
• How IT Decisions Impact Facilities: The Benefit of Mutual
Understanding
• Designing, Deploying and Managing Efficient Data Centers
• Myths of Data Center Containment
• Understanding the Science Behind Data Center Airflow
Management
• Data Center Cooling Efficiency: Understanding the Science of the
4 Delta T’s
Lars Strong, P.E.
Senior Engineer and
Company Science Officer,
Upsite Technologies
datacenterworld.com | #datacenterworld
Information Classification: General
Agenda
• What is your experience?
• Understanding Power Usage Effectiveness (PUE)
• What is PUE?
• PUE Levels of Measurement
• How Airflow Management Relates to PUE
• Can You Achieve a PUE of Less Than 1.00?
• The 4 Delta Ts
• Strategies for Data Center Heat Energy Re-Use
• Ship the Hot Air Next Door
• Tap the Chilled Water Loop
• Hot Water Cooling
• Relationship Between Recycling Data Center Heat Energy and PUE
• Questions
datacenterworld.com | #datacenterworld
Information Classification: General
Interactive
• Do you operate a data center?
• Are you re-using heat?
• How is it going?
• Do you know of a heat re-use project?
• Are you considering / planning on re-using heat?
Understanding Power
Usage Effectiveness
(PUE)
datacenterworld.com | #datacenterworld
Information Classification: General
Introduction to PUE
• PUE / DCiE originally from The Green Grid, now falls under ISO/IEC JCT1 SC39 WG1 and is defined by an international
ISO standard – ISO/IEC 30134-2
• This is the *only* definition of PUE and figures measured or reported in any other way are not true PUE
• ISO is an independent, non-governmental membership organization and the world's largest developer of voluntary
International Standards
• Members are the national standards bodies of the 163 member countries around the world. Based in Geneva,
Switzerland
• ISO works alongside International Electrotechnical Commission (IEC), in the development of emerging international
data centre standards
• ISO/IEC JCT1 SC39 WG1 are responsible for the development of the ISO/IEC 30134 series of standards (data
centre resource efficiency KPIs)
• All ISO standards are designed to dovetail so the format for the 30134 series will be similar and relate to familiar
standards series such as ISO 9000, ISO 27000, ISO 50000 and ISO 14000 etc.
datacenterworld.com | #datacenterworld
Information Classification: General
What is PUE?
• PUE is defined as the ratio of total facilities energy to IT equipment energy
• (Total Facility Power) / (IT Equipment Power) = PUE
• Total facility energy is defined as the energy dedicated solely to the data center
• The energy measured at the utility meter of a dedicated data center facility or at the meter for a data center or data
room in a mixed-use facility
• The IT equipment energy is defined as the energy consumed by equipment that is used to manage, process, store, or
route data within the compute space
• IT equipment energy includes the energy associated with all of the IT equipment (compute, storage, and network
equipment) along with supplemental equipment (KVM switches, monitors, and workstations/laptops used to monitor
or otherwise control the data center)
• Total facility energy includes all IT equipment energy as described in the bullet above plus everything that supports
the IT equipment using energy
datacenterworld.com | #datacenterworld
Information Classification: General
PUE Levels of Measurement Chart
• Regardless of how the
measurements are taken it is
always worth remembering that
PUE is not an overall energy
efficiency metric
• PUE merely measures the
overhead that the building puts on
the IT load it hosts
• True energy efficiency requires a
focus on the IT load power
consumption and reduction too
• Ironically reducing the power
consumed by the IT load and
thereby reducing the total kW
hours used can actually increase
the PUE
• This is one of the reasons that
PUE is not a true energy
efficiency metric
datacenterworld.com | #datacenterworld
Information Classification: General
PUE Levels of Measurement Chart
• There is a direct relationship between airflow
management and PUE – the better the airflow
management, the better the PUE
• Mechanical cooling + fan cooling is 35% of total load
and 73% of non-IT load
Total Load
IT Load
PUE = = 1.92
datacenterworld.com | #datacenterworld
Information Classification: General
Partial PUE (pPUE)
• While PUE includes all energy-using components within a facility, pPUE includes all energy-using components within a
boundary/zone
• A boundary/zone can be a physical designation such as a container, room, modular pod, or building
• It also can be a logical boundary such as equipment owned by a department or a customer, owned versus leased
equipment, or any other boundary that makes sense for the management of the assets
• (Total energy inside the boundary) / (Total IT equipment energy inside the boundary) = pPUE
datacenterworld.com | #datacenterworld
Information Classification: General
Can you Achieve a PUE of Less than 1.00?
• For a few years now, there have been many claims that achieving a PUE of less than 1.00 was possible by recycling
some data center energy
• These claims usually derive from either obtaining off-grid electricity or producing some energy from the IT ΔT that is used
to perform some other task
• Neither of these cases change the basic math of total power into the data center divided by IT consumed power = 1
or higher, unless the IT thermal output were converted to energy to provide a portion of the energy required to
operate our IT equipment, thereby subtracting that portion from total consumption
• This result of IT equipment energy use exceeding total data center energy use gets us a PUE less than 1.00, and
also gets us into the realm of physics-defying fantasy
• However, while achieving a PUE of less than 1.00 is simply not possible, that does not mean that efforts in mining heat
energy produced by IT equipment hold no value, there can be a real and positive ecological impact
datacenterworld.com | #datacenterworld
Information Classification: General
Can you Achieve a PUE of Less than 1.00? – Yes
PUE = 1.0
datacenterworld.com | #datacenterworld
Information Classification: General
Can you Achieve a PUE of Less than 1.00? – Yes
PUE > 1.0
datacenterworld.com | #datacenterworld
Information Classification: General
Can you Achieve a PUE of Less than 1.00?
ISO/IEC 30134 Information Technology – Data Centres – Key Performance Indicators
• ISO/IEC 30134-1:2018 — Part 1: Overview and general requirements
• ISO/IEC 30134-2:2018 — Part 2: Power usage effectiveness (PUE)
• ISO/IEC 30134-3:2018 — Part 3: Renewable energy factor (REF)
• ISO/IEC 30134-4:2017 — Part 4: IT Equipment Energy Efficiency for servers (ITEEsv)
• ISO/IEC 30134-5:2017 — Part 5: IT Equipment Utilization for servers (ITEUsv)
• ISO/IEC 30134-6:2021 — Part 6: Energy Reuse Factor (ERF)
• ISO/IEC 30134-7 — Part 7: Cooling Efficiency Ratio (CER)
• ISO/IEC 30134-8:2022 — Part 8: Carbon Usage Effectiveness (CUE)
• ISO/IEC 30134-9:2022 — Part 9: Water Usage Effectiveness (WUE)
Strategies for
Data Center Heat
Energy Re-Use
datacenterworld.com | #datacenterworld
Information Classification: General
Strategies We’ll Be Looking At
• While a PUE of less than 1.00 cannot be an achievable goal, we can still improve our organization’s bottom line and
contribute positively to the planet’s health in other ways
• To help us measure and report this reliably since we cannot have a PUE of less than 1 there is another metric in the
ISO/IEC 30134 series to help us do this:
• ISO/IEC 30134-6 - Energy Reuse Factor (ERF)
• There a few strategies we’ll look at in the subsequent slides:
• Ship the Hot Air Next Door
• Tap the Chilled Water Loop
• Hot Water Cooling
• Something to consider though is that the technology to recover the otherwise wasted heat is available to us now and has
been for some time
• The real difficulty is finding a customer or use for what is typically relatively low-grade heat which doesn’t transport
well
• The effective use of ‘waste’ heat requires collaboration with potentially interested parties at the early planning stage
datacenterworld.com | #datacenterworld
Information Classification: General
Ship the Hot Air Next Door
• Shipping the hot air next door, on the surface,
may seem like the simplest and most
straightforward application of data center
waste heat re-use, but unfortunately it can get
complicated pretty quickly when we try to
compensate for it’s being what we call low
grade heat energy
• Data center return air has been used to heat
adjacent office spaces, auditoriums, and even
a greenhouse
datacenterworld.com | #datacenterworld
Information Classification: General
Ship the Hot Air Next Door
• In general, there are a few obstacles with this strategy:
• Working waste air is typically going to be in the 80˚ to 95˚F range, which prevents it from being particularly useful
except when it can be applied to comfort temperature range applications in close proximity to the data center
• The requirement for proximity is another obstacle, as hot air does not travel well
• Another obstacle is that anyone looking for squeezing out more energy efficiencies after reaching their PUE goal, has
most assuredly already implemented some form of free cooling and has fine-tuned their infrastructure
• The dilemma is that when our free cooling temperatures are the lowest during that cold time of the year and our
associated waste air temperatures are the lowest, that is exactly when our customer (internal or external) is going to
be looking to us for the most heat
• Conversely, during the summer, when we are cranking out hot return air, our customer may be looking for some heat
relief
datacenterworld.com | #datacenterworld
Information Classification: General
Ship the Hot Air Next Door
• Yandex, a large Russian data center operator with facilities around the world
• In their data center in Mantsala, hot waste air is piped through heat pumps and air-to-liquid heat exchangers to
produce 90˚ to 115˚F water that then requires a short lift to 130˚ to 140˚F, which is useable for local district heating
• This particular site has been operational for several years and has reduced the carbon emissions of the city by 40%
and reduced local consumers’ heating prices by 12%
• Similar strategies have been deployed by Facebook in Denmark and numerous facilities in Sweden, including a Digiplex
evaporative air-to-air economizer retrofit project in Stockholm projected to provide heating for 10,000 homes
• Cooling, on the other hand, can be accomplished by using absorption chillers to convert the heat to cooling, though it can
be a stretch to get good performance from an absorption chiller with the air temperatures we typically see
datacenterworld.com | #datacenterworld
Information Classification: General
The Four Delta Ts (ΔT)
1. Though IT equipment
2. IT equipment exhaust to cooling unit
3. Through cooling unit
4. Cooling unit supply to IT equipment intake
datacenterworld.com | #datacenterworld
Information Classification: General
The Four Delta Ts (ΔT)
• In most data centers the greatest loss of
efficiency is having a low temperature of air
returning to the cooling units
• The goal is to always have the highest possible
return air temperature to cooling units
datacenterworld.com | #datacenterworld
Information Classification: General
Tap the Chilled Water Loop
• Chilled water loop may occasionally be somewhat of
a misnomer
• We may tap it on the supply side (chilled) or on the
return side (warm, or at least less chilled)
• In an example from the University of Syracuse, part
of that water loop can be downright hot
• In a recent example in the UK this technique has
been used to heat a public swimming pool with more
similar projects to follow
datacenterworld.com | #datacenterworld
Information Classification: General
Tap the Chilled Water Loop
• The turbines produced 585˚F exhaust air which was
put to work in two separate operations in the chiller
room:
• Provide input to absorption chillers with capacity
to provide cooling to the data center as well as
supply the air conditioning chilled water loop for
a large office building nearby
• Provide the heat to an air-to-liquid heat
exchanger to deliver heat to that same office
building during the winter
datacenterworld.com | #datacenterworld
Information Classification: General
Tap the Chilled Water Loop
• A more current, easier-to-diagram and still-operating
example of productive loop-tapping can be
demonstrated in the Westin-Amazon cooperative
project in Seattle
• In this neatly symbiotic relationship, the Amazon
campus is essentially an economizer and condenser
for the Westin Carrier Hotel and the Westin’s thirty
four floors of data center essentially comprise a
private utility providing heating energy to the Amazon
campus
• In this case, Amazon taps the return water loop from
the Westin’s data center cooling and the Westin taps
the return water loop from Amazon’s heating
datacenterworld.com | #datacenterworld
Information Classification: General
Tap the Chilled Water Loop
• AAmazon should save around 80 million kW hours of
electricity over the first twenty five years, roughly
equivalent to eliminating carbon emissions of sixty
five million pounds of coal
• Saves water from tower evaporation loss and saves
operating expense of running cooling towers
• Estimated $985,000 annual savings for five million
square feet of office space
• This is also being done by at North in Sweden by
connecting directly to an adjacent district heating
system to provide winter heating to residential homes
datacenterworld.com | #datacenterworld
Information Classification: General
Hot Water Cooling
• The third category of data center heat energy re-use is hot water cooling, which can benefit either of the first two
categories, but is particularly beneficial with data center liquid cooling
• As previously mentioned, if data center waste air is being used to facilitate generator starters, raising supply air from 65˚F
or 70˚F up to 78-80˚F will produce a return air temperature high enough to eliminate block heaters
• In the Westin-Amazon project, a good airflow containment execution could allow the data center water supply to the utility
heat exchanger to be increased enough to reduce the heat recovery plant lift by 28%
• Neither of these cases utilize cooling with warm or hot water, but even moving the needle these small steps can produce
significant benefits
• When we start working with hot water, we get higher grade waste heat energy and water is easier to move around
than air
datacenterworld.com | #datacenterworld
Information Classification: General
Hot Water Cooling
• The IBM proof-of-concept data center at the Zurich
Research Laboratory took advantage of innovations
in direct contact liquid cooling whereby hot water was
pumped through copper microchannels attached to
computer chips
• Findings included:
• 140˚F supply water maintained chip
temperatures around 176˚F, safely below the
recommended 185˚F maximum
• Hot water cooling resulted in a post-process
“return” temperature of 149˚F
• In addition to providing heat for an adjacent lab,
the absorption chiller provided 49kW of cooling
capacity at about 70˚F
datacenterworld.com | #datacenterworld
Information Classification: General
Hot Water Cooling
• Around the same time that the IBM proof-of-concept hot water liquid cooling experiment was being implemented in
Switzerland, eBay was experimenting with warm water cooling in Phoenix in the well-publicized Mercury Project
• The Mercury Project involved one part of the data center cooled by chilled water loop connected to chillers and then a
second data center using condenser return water from the first data center up to 87˚F to supply rack-mounted rear door
heat exchangers
• Obviously, temperatures exceeded ASHRAE recommended server inlet air temperatures, but remained within the Class
A2 allowable range
Summary
datacenterworld.com | #datacenterworld
Information Classification: General
Key Takeaways
• Lack of demand for heat energy produced by data centers, particularly in the United States, can be a show-stopper or at
least a significant complication
• Heat energy is not quite as transportable as electric energy, so a customer/consumer of heat energy in close proximity to
the data center is critical
• In northern Europe there is a built-in infrastructure in district heating networks with on-line demand for heat energy
• The Westin/Amazon project is such a perfect model because the Amazon office buildings effectively represent the
equivalent of a local heating district “customer”
Thank you!
Questions?
Lars Strong
Upsite Technologies
lds@upsite.com
505.798.0208

More Related Content

Similar to Strategies for Re-Using Data Center Heat Energy and Their Impact on PUE (Both Real and Perceived)

The Economics of Green HPC
The Economics of Green HPCThe Economics of Green HPC
The Economics of Green HPC
Intel IT Center
 
How green standards are changing data center design and operations
How green standards are changing data center design and operationsHow green standards are changing data center design and operations
How green standards are changing data center design and operations
Schneider Electric
 
Bringing Enterprise IT into the 21st Century: A Management and Sustainabilit...
Bringing Enterprise IT into the 21st Century:  A Management and Sustainabilit...Bringing Enterprise IT into the 21st Century:  A Management and Sustainabilit...
Bringing Enterprise IT into the 21st Century: A Management and Sustainabilit...
Jonathan Koomey
 
How green standards are changing data center design and operations
How green standards are changing data center design and operationsHow green standards are changing data center design and operations
How green standards are changing data center design and operations
Schneider Electric
 
SC17 Panel: Energy Efficiency Gains From HPC Software
SC17 Panel: Energy Efficiency Gains From HPC SoftwareSC17 Panel: Energy Efficiency Gains From HPC Software
SC17 Panel: Energy Efficiency Gains From HPC Software
inside-BigData.com
 
Clarifying ASHRAE's Recommended Vs. Allowable Temperature Envelopes and How t...
Clarifying ASHRAE's Recommended Vs. Allowable Temperature Envelopes and How t...Clarifying ASHRAE's Recommended Vs. Allowable Temperature Envelopes and How t...
Clarifying ASHRAE's Recommended Vs. Allowable Temperature Envelopes and How t...
Upsite Technologies
 
Commercial Overview DC Session 3 The Greening Of The Data Centre
Commercial Overview   DC Session 3   The Greening Of The Data CentreCommercial Overview   DC Session 3   The Greening Of The Data Centre
Commercial Overview DC Session 3 The Greening Of The Data Centrepaul_mathews
 
Connectix Commercial Overview Dc Session 8 Using The Fear Model To Design...
Connectix Commercial Overview   Dc Session 8   Using The Fear Model To Design...Connectix Commercial Overview   Dc Session 8   Using The Fear Model To Design...
Connectix Commercial Overview Dc Session 8 Using The Fear Model To Design...
paul_mathews
 
Green datacenters
Green datacentersGreen datacenters
Green datacenters
Cloudbells.com
 
Energy Efficiency in Multi Tenanted Data Centres
Energy Efficiency in Multi Tenanted Data CentresEnergy Efficiency in Multi Tenanted Data Centres
Energy Efficiency in Multi Tenanted Data Centres
DataCentred
 
Modular Data Center Design
Modular Data Center DesignModular Data Center Design
Modular Data Center Design
ConsultingSpecifyingEngineer
 
E source energy managers conf 4 24-13-final
E source energy managers conf 4 24-13-finalE source energy managers conf 4 24-13-final
E source energy managers conf 4 24-13-finaljosh whitney
 
Green IT Concept
Green IT ConceptGreen IT Concept
Green IT Concept
Brightland Estúdio Web
 
Better Decision Making by Understanding IT Spend
Better Decision Making by Understanding IT SpendBetter Decision Making by Understanding IT Spend
Better Decision Making by Understanding IT Spend
JISC's Green ICT Programme
 
Optimizing The Data Centre Environment
Optimizing The Data Centre EnvironmentOptimizing The Data Centre Environment
Optimizing The Data Centre Environmentmixalisg
 
business case in green computing
business case in green computingbusiness case in green computing
business case in green computing
RAHUL SINHA
 
Metering Energy Consumption in Data Centres - Colin Love
Metering Energy Consumption in Data Centres - Colin LoveMetering Energy Consumption in Data Centres - Colin Love
Metering Energy Consumption in Data Centres - Colin LoveGoodCampus
 
Tpc Energy Publications July 2 10 B
Tpc Energy Publications July 2 10 BTpc Energy Publications July 2 10 B
Tpc Energy Publications July 2 10 BChris O'Neal
 

Similar to Strategies for Re-Using Data Center Heat Energy and Their Impact on PUE (Both Real and Perceived) (20)

The Economics of Green HPC
The Economics of Green HPCThe Economics of Green HPC
The Economics of Green HPC
 
How green standards are changing data center design and operations
How green standards are changing data center design and operationsHow green standards are changing data center design and operations
How green standards are changing data center design and operations
 
Bringing Enterprise IT into the 21st Century: A Management and Sustainabilit...
Bringing Enterprise IT into the 21st Century:  A Management and Sustainabilit...Bringing Enterprise IT into the 21st Century:  A Management and Sustainabilit...
Bringing Enterprise IT into the 21st Century: A Management and Sustainabilit...
 
How green standards are changing data center design and operations
How green standards are changing data center design and operationsHow green standards are changing data center design and operations
How green standards are changing data center design and operations
 
SC17 Panel: Energy Efficiency Gains From HPC Software
SC17 Panel: Energy Efficiency Gains From HPC SoftwareSC17 Panel: Energy Efficiency Gains From HPC Software
SC17 Panel: Energy Efficiency Gains From HPC Software
 
Clarifying ASHRAE's Recommended Vs. Allowable Temperature Envelopes and How t...
Clarifying ASHRAE's Recommended Vs. Allowable Temperature Envelopes and How t...Clarifying ASHRAE's Recommended Vs. Allowable Temperature Envelopes and How t...
Clarifying ASHRAE's Recommended Vs. Allowable Temperature Envelopes and How t...
 
Commercial Overview DC Session 3 The Greening Of The Data Centre
Commercial Overview   DC Session 3   The Greening Of The Data CentreCommercial Overview   DC Session 3   The Greening Of The Data Centre
Commercial Overview DC Session 3 The Greening Of The Data Centre
 
Connectix Commercial Overview Dc Session 8 Using The Fear Model To Design...
Connectix Commercial Overview   Dc Session 8   Using The Fear Model To Design...Connectix Commercial Overview   Dc Session 8   Using The Fear Model To Design...
Connectix Commercial Overview Dc Session 8 Using The Fear Model To Design...
 
Green datacenters
Green datacentersGreen datacenters
Green datacenters
 
Energy Efficiency in Multi Tenanted Data Centres
Energy Efficiency in Multi Tenanted Data CentresEnergy Efficiency in Multi Tenanted Data Centres
Energy Efficiency in Multi Tenanted Data Centres
 
Modular Data Center Design
Modular Data Center DesignModular Data Center Design
Modular Data Center Design
 
E source energy managers conf 4 24-13-final
E source energy managers conf 4 24-13-finalE source energy managers conf 4 24-13-final
E source energy managers conf 4 24-13-final
 
Green IT Concept
Green IT ConceptGreen IT Concept
Green IT Concept
 
Better Decision Making by Understanding IT Spend
Better Decision Making by Understanding IT SpendBetter Decision Making by Understanding IT Spend
Better Decision Making by Understanding IT Spend
 
Optimizing The Data Centre Environment
Optimizing The Data Centre EnvironmentOptimizing The Data Centre Environment
Optimizing The Data Centre Environment
 
Google ppt. mis
Google ppt. misGoogle ppt. mis
Google ppt. mis
 
business case in green computing
business case in green computingbusiness case in green computing
business case in green computing
 
How to Use PUE To Improve Efficiency
How to Use PUE To Improve EfficiencyHow to Use PUE To Improve Efficiency
How to Use PUE To Improve Efficiency
 
Metering Energy Consumption in Data Centres - Colin Love
Metering Energy Consumption in Data Centres - Colin LoveMetering Energy Consumption in Data Centres - Colin Love
Metering Energy Consumption in Data Centres - Colin Love
 
Tpc Energy Publications July 2 10 B
Tpc Energy Publications July 2 10 BTpc Energy Publications July 2 10 B
Tpc Energy Publications July 2 10 B
 

More from Upsite Technologies

Data Center Monitoring and Management Best Practices: How You Can Benefit fro...
Data Center Monitoring and Management Best Practices: How You Can Benefit fro...Data Center Monitoring and Management Best Practices: How You Can Benefit fro...
Data Center Monitoring and Management Best Practices: How You Can Benefit fro...
Upsite Technologies
 
Cooling Optimization 101: A Beginner's Guide to Data Center Cooling
Cooling Optimization 101: A Beginner's Guide to Data Center CoolingCooling Optimization 101: A Beginner's Guide to Data Center Cooling
Cooling Optimization 101: A Beginner's Guide to Data Center Cooling
Upsite Technologies
 
For Most Data Centers, Liquid and Air Cooling Will Not be Mutually Exclusive
For Most Data Centers, Liquid and Air Cooling Will Not be Mutually ExclusiveFor Most Data Centers, Liquid and Air Cooling Will Not be Mutually Exclusive
For Most Data Centers, Liquid and Air Cooling Will Not be Mutually Exclusive
Upsite Technologies
 
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T'sData Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Upsite Technologies
 
How IT Decisions Impact Facilities: The Importance of Mutual Understanding
How IT Decisions Impact Facilities: The Importance of Mutual UnderstandingHow IT Decisions Impact Facilities: The Importance of Mutual Understanding
How IT Decisions Impact Facilities: The Importance of Mutual Understanding
Upsite Technologies
 
Myths of Data Center Containment:Whats's True and What's Not
Myths of Data Center Containment:Whats's True and What's NotMyths of Data Center Containment:Whats's True and What's Not
Myths of Data Center Containment:Whats's True and What's Not
Upsite Technologies
 
The Science Behind Airflow Management Best Practices
The Science Behind Airflow Management Best PracticesThe Science Behind Airflow Management Best Practices
The Science Behind Airflow Management Best Practices
Upsite Technologies
 
4 steps to quickly improve pue through airflow management
4 steps to quickly improve pue through airflow management4 steps to quickly improve pue through airflow management
4 steps to quickly improve pue through airflow management
Upsite Technologies
 
Utilization of Computer Room Cooling Infrastructure: Measurement Reveals Oppo...
Utilization of Computer Room Cooling Infrastructure: Measurement Reveals Oppo...Utilization of Computer Room Cooling Infrastructure: Measurement Reveals Oppo...
Utilization of Computer Room Cooling Infrastructure: Measurement Reveals Oppo...
Upsite Technologies
 
What's Next in Cooling: Capacity, Containment, & More
What's Next in Cooling: Capacity, Containment, & MoreWhat's Next in Cooling: Capacity, Containment, & More
What's Next in Cooling: Capacity, Containment, & More
Upsite Technologies
 
Gaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow ManagementGaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow Management
Upsite Technologies
 

More from Upsite Technologies (11)

Data Center Monitoring and Management Best Practices: How You Can Benefit fro...
Data Center Monitoring and Management Best Practices: How You Can Benefit fro...Data Center Monitoring and Management Best Practices: How You Can Benefit fro...
Data Center Monitoring and Management Best Practices: How You Can Benefit fro...
 
Cooling Optimization 101: A Beginner's Guide to Data Center Cooling
Cooling Optimization 101: A Beginner's Guide to Data Center CoolingCooling Optimization 101: A Beginner's Guide to Data Center Cooling
Cooling Optimization 101: A Beginner's Guide to Data Center Cooling
 
For Most Data Centers, Liquid and Air Cooling Will Not be Mutually Exclusive
For Most Data Centers, Liquid and Air Cooling Will Not be Mutually ExclusiveFor Most Data Centers, Liquid and Air Cooling Will Not be Mutually Exclusive
For Most Data Centers, Liquid and Air Cooling Will Not be Mutually Exclusive
 
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T'sData Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
 
How IT Decisions Impact Facilities: The Importance of Mutual Understanding
How IT Decisions Impact Facilities: The Importance of Mutual UnderstandingHow IT Decisions Impact Facilities: The Importance of Mutual Understanding
How IT Decisions Impact Facilities: The Importance of Mutual Understanding
 
Myths of Data Center Containment:Whats's True and What's Not
Myths of Data Center Containment:Whats's True and What's NotMyths of Data Center Containment:Whats's True and What's Not
Myths of Data Center Containment:Whats's True and What's Not
 
The Science Behind Airflow Management Best Practices
The Science Behind Airflow Management Best PracticesThe Science Behind Airflow Management Best Practices
The Science Behind Airflow Management Best Practices
 
4 steps to quickly improve pue through airflow management
4 steps to quickly improve pue through airflow management4 steps to quickly improve pue through airflow management
4 steps to quickly improve pue through airflow management
 
Utilization of Computer Room Cooling Infrastructure: Measurement Reveals Oppo...
Utilization of Computer Room Cooling Infrastructure: Measurement Reveals Oppo...Utilization of Computer Room Cooling Infrastructure: Measurement Reveals Oppo...
Utilization of Computer Room Cooling Infrastructure: Measurement Reveals Oppo...
 
What's Next in Cooling: Capacity, Containment, & More
What's Next in Cooling: Capacity, Containment, & MoreWhat's Next in Cooling: Capacity, Containment, & More
What's Next in Cooling: Capacity, Containment, & More
 
Gaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow ManagementGaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow Management
 

Recently uploaded

ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Walaa Eldin Moustafa
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
apvysm8
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
vikram sood
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
roli9797
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
oz8q3jxlp
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
74nqk8xf
 
Nanandann Nilekani's ppt On India's .pdf
Nanandann Nilekani's ppt On India's .pdfNanandann Nilekani's ppt On India's .pdf
Nanandann Nilekani's ppt On India's .pdf
eddie19851
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
u86oixdj
 
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Subhajit Sahu
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
javier ramirez
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
u86oixdj
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
jerlynmaetalle
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
dwreak4tg
 
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfUnleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Enterprise Wired
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
John Andrews
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
slg6lamcq
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
jerlynmaetalle
 
Adjusting OpenMP PageRank : SHORT REPORT / NOTES
Adjusting OpenMP PageRank : SHORT REPORT / NOTESAdjusting OpenMP PageRank : SHORT REPORT / NOTES
Adjusting OpenMP PageRank : SHORT REPORT / NOTES
Subhajit Sahu
 

Recently uploaded (20)

ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
 
Nanandann Nilekani's ppt On India's .pdf
Nanandann Nilekani's ppt On India's .pdfNanandann Nilekani's ppt On India's .pdf
Nanandann Nilekani's ppt On India's .pdf
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
 
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
 
The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
 
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfUnleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
 
Adjusting OpenMP PageRank : SHORT REPORT / NOTES
Adjusting OpenMP PageRank : SHORT REPORT / NOTESAdjusting OpenMP PageRank : SHORT REPORT / NOTES
Adjusting OpenMP PageRank : SHORT REPORT / NOTES
 

Strategies for Re-Using Data Center Heat Energy and Their Impact on PUE (Both Real and Perceived)

  • 1. Strategies for Re-Using Data Center Heat Energy and Their Impact on PUE (Both Real and Perceived)
  • 2. datacenterworld.com | #datacenterworld Information Classification: General Speaker Background • Thought leader and recognized expert on data center optimization with over 25 years of experience • Certified US Department of Energy Data Center Energy Practitioner (DCEP) HVAC and IT Specialist • Presented on various topics around the world: • How IT Decisions Impact Facilities: The Benefit of Mutual Understanding • Designing, Deploying and Managing Efficient Data Centers • Myths of Data Center Containment • Understanding the Science Behind Data Center Airflow Management • Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T’s Lars Strong, P.E. Senior Engineer and Company Science Officer, Upsite Technologies
  • 3. datacenterworld.com | #datacenterworld Information Classification: General Agenda • What is your experience? • Understanding Power Usage Effectiveness (PUE) • What is PUE? • PUE Levels of Measurement • How Airflow Management Relates to PUE • Can You Achieve a PUE of Less Than 1.00? • The 4 Delta Ts • Strategies for Data Center Heat Energy Re-Use • Ship the Hot Air Next Door • Tap the Chilled Water Loop • Hot Water Cooling • Relationship Between Recycling Data Center Heat Energy and PUE • Questions
  • 4. datacenterworld.com | #datacenterworld Information Classification: General Interactive • Do you operate a data center? • Are you re-using heat? • How is it going? • Do you know of a heat re-use project? • Are you considering / planning on re-using heat?
  • 6. datacenterworld.com | #datacenterworld Information Classification: General Introduction to PUE • PUE / DCiE originally from The Green Grid, now falls under ISO/IEC JCT1 SC39 WG1 and is defined by an international ISO standard – ISO/IEC 30134-2 • This is the *only* definition of PUE and figures measured or reported in any other way are not true PUE • ISO is an independent, non-governmental membership organization and the world's largest developer of voluntary International Standards • Members are the national standards bodies of the 163 member countries around the world. Based in Geneva, Switzerland • ISO works alongside International Electrotechnical Commission (IEC), in the development of emerging international data centre standards • ISO/IEC JCT1 SC39 WG1 are responsible for the development of the ISO/IEC 30134 series of standards (data centre resource efficiency KPIs) • All ISO standards are designed to dovetail so the format for the 30134 series will be similar and relate to familiar standards series such as ISO 9000, ISO 27000, ISO 50000 and ISO 14000 etc.
  • 7. datacenterworld.com | #datacenterworld Information Classification: General What is PUE? • PUE is defined as the ratio of total facilities energy to IT equipment energy • (Total Facility Power) / (IT Equipment Power) = PUE • Total facility energy is defined as the energy dedicated solely to the data center • The energy measured at the utility meter of a dedicated data center facility or at the meter for a data center or data room in a mixed-use facility • The IT equipment energy is defined as the energy consumed by equipment that is used to manage, process, store, or route data within the compute space • IT equipment energy includes the energy associated with all of the IT equipment (compute, storage, and network equipment) along with supplemental equipment (KVM switches, monitors, and workstations/laptops used to monitor or otherwise control the data center) • Total facility energy includes all IT equipment energy as described in the bullet above plus everything that supports the IT equipment using energy
  • 8. datacenterworld.com | #datacenterworld Information Classification: General PUE Levels of Measurement Chart • Regardless of how the measurements are taken it is always worth remembering that PUE is not an overall energy efficiency metric • PUE merely measures the overhead that the building puts on the IT load it hosts • True energy efficiency requires a focus on the IT load power consumption and reduction too • Ironically reducing the power consumed by the IT load and thereby reducing the total kW hours used can actually increase the PUE • This is one of the reasons that PUE is not a true energy efficiency metric
  • 9. datacenterworld.com | #datacenterworld Information Classification: General PUE Levels of Measurement Chart • There is a direct relationship between airflow management and PUE – the better the airflow management, the better the PUE • Mechanical cooling + fan cooling is 35% of total load and 73% of non-IT load Total Load IT Load PUE = = 1.92
  • 10. datacenterworld.com | #datacenterworld Information Classification: General Partial PUE (pPUE) • While PUE includes all energy-using components within a facility, pPUE includes all energy-using components within a boundary/zone • A boundary/zone can be a physical designation such as a container, room, modular pod, or building • It also can be a logical boundary such as equipment owned by a department or a customer, owned versus leased equipment, or any other boundary that makes sense for the management of the assets • (Total energy inside the boundary) / (Total IT equipment energy inside the boundary) = pPUE
  • 11. datacenterworld.com | #datacenterworld Information Classification: General Can you Achieve a PUE of Less than 1.00? • For a few years now, there have been many claims that achieving a PUE of less than 1.00 was possible by recycling some data center energy • These claims usually derive from either obtaining off-grid electricity or producing some energy from the IT ΔT that is used to perform some other task • Neither of these cases change the basic math of total power into the data center divided by IT consumed power = 1 or higher, unless the IT thermal output were converted to energy to provide a portion of the energy required to operate our IT equipment, thereby subtracting that portion from total consumption • This result of IT equipment energy use exceeding total data center energy use gets us a PUE less than 1.00, and also gets us into the realm of physics-defying fantasy • However, while achieving a PUE of less than 1.00 is simply not possible, that does not mean that efforts in mining heat energy produced by IT equipment hold no value, there can be a real and positive ecological impact
  • 12. datacenterworld.com | #datacenterworld Information Classification: General Can you Achieve a PUE of Less than 1.00? – Yes PUE = 1.0
  • 13. datacenterworld.com | #datacenterworld Information Classification: General Can you Achieve a PUE of Less than 1.00? – Yes PUE > 1.0
  • 14. datacenterworld.com | #datacenterworld Information Classification: General Can you Achieve a PUE of Less than 1.00? ISO/IEC 30134 Information Technology – Data Centres – Key Performance Indicators • ISO/IEC 30134-1:2018 — Part 1: Overview and general requirements • ISO/IEC 30134-2:2018 — Part 2: Power usage effectiveness (PUE) • ISO/IEC 30134-3:2018 — Part 3: Renewable energy factor (REF) • ISO/IEC 30134-4:2017 — Part 4: IT Equipment Energy Efficiency for servers (ITEEsv) • ISO/IEC 30134-5:2017 — Part 5: IT Equipment Utilization for servers (ITEUsv) • ISO/IEC 30134-6:2021 — Part 6: Energy Reuse Factor (ERF) • ISO/IEC 30134-7 — Part 7: Cooling Efficiency Ratio (CER) • ISO/IEC 30134-8:2022 — Part 8: Carbon Usage Effectiveness (CUE) • ISO/IEC 30134-9:2022 — Part 9: Water Usage Effectiveness (WUE)
  • 15. Strategies for Data Center Heat Energy Re-Use
  • 16. datacenterworld.com | #datacenterworld Information Classification: General Strategies We’ll Be Looking At • While a PUE of less than 1.00 cannot be an achievable goal, we can still improve our organization’s bottom line and contribute positively to the planet’s health in other ways • To help us measure and report this reliably since we cannot have a PUE of less than 1 there is another metric in the ISO/IEC 30134 series to help us do this: • ISO/IEC 30134-6 - Energy Reuse Factor (ERF) • There a few strategies we’ll look at in the subsequent slides: • Ship the Hot Air Next Door • Tap the Chilled Water Loop • Hot Water Cooling • Something to consider though is that the technology to recover the otherwise wasted heat is available to us now and has been for some time • The real difficulty is finding a customer or use for what is typically relatively low-grade heat which doesn’t transport well • The effective use of ‘waste’ heat requires collaboration with potentially interested parties at the early planning stage
  • 17. datacenterworld.com | #datacenterworld Information Classification: General Ship the Hot Air Next Door • Shipping the hot air next door, on the surface, may seem like the simplest and most straightforward application of data center waste heat re-use, but unfortunately it can get complicated pretty quickly when we try to compensate for it’s being what we call low grade heat energy • Data center return air has been used to heat adjacent office spaces, auditoriums, and even a greenhouse
  • 18. datacenterworld.com | #datacenterworld Information Classification: General Ship the Hot Air Next Door • In general, there are a few obstacles with this strategy: • Working waste air is typically going to be in the 80˚ to 95˚F range, which prevents it from being particularly useful except when it can be applied to comfort temperature range applications in close proximity to the data center • The requirement for proximity is another obstacle, as hot air does not travel well • Another obstacle is that anyone looking for squeezing out more energy efficiencies after reaching their PUE goal, has most assuredly already implemented some form of free cooling and has fine-tuned their infrastructure • The dilemma is that when our free cooling temperatures are the lowest during that cold time of the year and our associated waste air temperatures are the lowest, that is exactly when our customer (internal or external) is going to be looking to us for the most heat • Conversely, during the summer, when we are cranking out hot return air, our customer may be looking for some heat relief
  • 19. datacenterworld.com | #datacenterworld Information Classification: General Ship the Hot Air Next Door • Yandex, a large Russian data center operator with facilities around the world • In their data center in Mantsala, hot waste air is piped through heat pumps and air-to-liquid heat exchangers to produce 90˚ to 115˚F water that then requires a short lift to 130˚ to 140˚F, which is useable for local district heating • This particular site has been operational for several years and has reduced the carbon emissions of the city by 40% and reduced local consumers’ heating prices by 12% • Similar strategies have been deployed by Facebook in Denmark and numerous facilities in Sweden, including a Digiplex evaporative air-to-air economizer retrofit project in Stockholm projected to provide heating for 10,000 homes • Cooling, on the other hand, can be accomplished by using absorption chillers to convert the heat to cooling, though it can be a stretch to get good performance from an absorption chiller with the air temperatures we typically see
  • 20. datacenterworld.com | #datacenterworld Information Classification: General The Four Delta Ts (ΔT) 1. Though IT equipment 2. IT equipment exhaust to cooling unit 3. Through cooling unit 4. Cooling unit supply to IT equipment intake
  • 21. datacenterworld.com | #datacenterworld Information Classification: General The Four Delta Ts (ΔT) • In most data centers the greatest loss of efficiency is having a low temperature of air returning to the cooling units • The goal is to always have the highest possible return air temperature to cooling units
  • 22. datacenterworld.com | #datacenterworld Information Classification: General Tap the Chilled Water Loop • Chilled water loop may occasionally be somewhat of a misnomer • We may tap it on the supply side (chilled) or on the return side (warm, or at least less chilled) • In an example from the University of Syracuse, part of that water loop can be downright hot • In a recent example in the UK this technique has been used to heat a public swimming pool with more similar projects to follow
  • 23. datacenterworld.com | #datacenterworld Information Classification: General Tap the Chilled Water Loop • The turbines produced 585˚F exhaust air which was put to work in two separate operations in the chiller room: • Provide input to absorption chillers with capacity to provide cooling to the data center as well as supply the air conditioning chilled water loop for a large office building nearby • Provide the heat to an air-to-liquid heat exchanger to deliver heat to that same office building during the winter
  • 24. datacenterworld.com | #datacenterworld Information Classification: General Tap the Chilled Water Loop • A more current, easier-to-diagram and still-operating example of productive loop-tapping can be demonstrated in the Westin-Amazon cooperative project in Seattle • In this neatly symbiotic relationship, the Amazon campus is essentially an economizer and condenser for the Westin Carrier Hotel and the Westin’s thirty four floors of data center essentially comprise a private utility providing heating energy to the Amazon campus • In this case, Amazon taps the return water loop from the Westin’s data center cooling and the Westin taps the return water loop from Amazon’s heating
  • 25. datacenterworld.com | #datacenterworld Information Classification: General Tap the Chilled Water Loop • AAmazon should save around 80 million kW hours of electricity over the first twenty five years, roughly equivalent to eliminating carbon emissions of sixty five million pounds of coal • Saves water from tower evaporation loss and saves operating expense of running cooling towers • Estimated $985,000 annual savings for five million square feet of office space • This is also being done by at North in Sweden by connecting directly to an adjacent district heating system to provide winter heating to residential homes
  • 26. datacenterworld.com | #datacenterworld Information Classification: General Hot Water Cooling • The third category of data center heat energy re-use is hot water cooling, which can benefit either of the first two categories, but is particularly beneficial with data center liquid cooling • As previously mentioned, if data center waste air is being used to facilitate generator starters, raising supply air from 65˚F or 70˚F up to 78-80˚F will produce a return air temperature high enough to eliminate block heaters • In the Westin-Amazon project, a good airflow containment execution could allow the data center water supply to the utility heat exchanger to be increased enough to reduce the heat recovery plant lift by 28% • Neither of these cases utilize cooling with warm or hot water, but even moving the needle these small steps can produce significant benefits • When we start working with hot water, we get higher grade waste heat energy and water is easier to move around than air
  • 27. datacenterworld.com | #datacenterworld Information Classification: General Hot Water Cooling • The IBM proof-of-concept data center at the Zurich Research Laboratory took advantage of innovations in direct contact liquid cooling whereby hot water was pumped through copper microchannels attached to computer chips • Findings included: • 140˚F supply water maintained chip temperatures around 176˚F, safely below the recommended 185˚F maximum • Hot water cooling resulted in a post-process “return” temperature of 149˚F • In addition to providing heat for an adjacent lab, the absorption chiller provided 49kW of cooling capacity at about 70˚F
  • 28. datacenterworld.com | #datacenterworld Information Classification: General Hot Water Cooling • Around the same time that the IBM proof-of-concept hot water liquid cooling experiment was being implemented in Switzerland, eBay was experimenting with warm water cooling in Phoenix in the well-publicized Mercury Project • The Mercury Project involved one part of the data center cooled by chilled water loop connected to chillers and then a second data center using condenser return water from the first data center up to 87˚F to supply rack-mounted rear door heat exchangers • Obviously, temperatures exceeded ASHRAE recommended server inlet air temperatures, but remained within the Class A2 allowable range
  • 30. datacenterworld.com | #datacenterworld Information Classification: General Key Takeaways • Lack of demand for heat energy produced by data centers, particularly in the United States, can be a show-stopper or at least a significant complication • Heat energy is not quite as transportable as electric energy, so a customer/consumer of heat energy in close proximity to the data center is critical • In northern Europe there is a built-in infrastructure in district heating networks with on-line demand for heat energy • The Westin/Amazon project is such a perfect model because the Amazon office buildings effectively represent the equivalent of a local heating district “customer”
  • 31. Thank you! Questions? Lars Strong Upsite Technologies lds@upsite.com 505.798.0208

Editor's Notes

  1. The IT load is measured at the output of the UPS equipment and can be read from the UPS front panel, through a meter on the UPS output, or, in cases of multiple UPS modules, through a single meter on the common UPS output bus Facility load is measured from the utility service entrance that feeds all of the electrical and mechanical equipment used to power, cool, and condition the data center Measurement period is either weekly or monthly The IT load is measured at the output of the PDUs within the data center and can typically be read from the PDU front panel The facility load is measured from the utility service entrance that feeds all of the electrical and mechanical equipment used to power, cool, and condition the data center Measurement period is daily/hourly at the same time The IT load is measured at each individual piece of IT equipment within the data center, either by metered rack PDUs that monitor at the strip or receptacle level or by the IT device itself The incoming energy is measured from the utility service entrance that feeds all of the electrical and mechanical equipment used to power, cool, and condition the data center Measurement period is every 15 minutes or less
  2. It should be noted that a PUE calculation uses the IT energy as the denominator in a fraction and is thus undefined if the IT energy in a zone is zero. Since the reason for a pPUE calculation is to provide a metric of the efficiency of delivering energy and cooling to IT equipment, pPUE has no meaning for a zone that contains no IT equipment. Such a zone would more appropriately be accounted for as overhead.
  3. There is great value in actually increasing PUE by dramatically reducing the divisor of our PUE equation through virtualization, turning off comatose servers, migrating from Windows to Linux, etc. The PUE rock showing above the water level may be bigger, but the sea level itself is lower (hence, the ongoing discussion for new and improved metrics) Such is the case with looking for ways to perform useful work with the thermal energy produced by the work performed by our IT equipment
  4. I’ll be starting today with the most straightforward – the Notre Dame practice of exploiting the elevated temperature of the data center return air to do some useful work – in this case maintaining an operational greenhouse temperature at the South Bend Greenhouse and Botanical Gardens through the sometimes brutal northern Indiana winter. We call this strategy, “Ship the hot air next door.”
  5. In both these cases, however, there are ways to take advantage of our data center waste heat that may require adding to our facilities engineering tool kit. Heat pumps and absorption chillers may help us bridge the gap from low grade heat energy to at least somewhat useful grade energy. In both cases, heating or cooling, the folks who are using this design approach typically start with transferring the heat from air to water.
  6. Meanwhile, why is it that my good examples all seem to come from Northern Europe, at least in this section on shipping the hot air next door? The cooler ambient temperatures, providing access to much larger blocks of free cooling time, have attracted data center companies serious about energy efficiency and pursuing carbon emission reduction and neutral goals. More importantly, however, is probably the prevalence of district heating. For my American readers who may not be familiar with the term, we are merely talking about a heating and cooling district where all the homes or buildings are connected to a single heating and cooling source, versus having individual boilers or furnaces. Each district will either buy heating and cooling from some other supplier (utility) or have its own production facility. The opportunity for the data center is to become that source, profitably, at a lower cost than either the existing vendor or captive facility. The scale of this opportunity can be illustrated by the fact that data centers now account for over 10% of Sweden’s municipal heating supply. Taking it one step further, Finland actively markets itself as a great place to locate your data center because of the income opportunities associated with selling to these heating district networks. In addition, in many public utility jurisdictions, if you are going to sell this energy to your neighbor, you may need to get yourself registered as a utility. So does that mean that localities and regions that are limited in implementation of heating district networks are relegated to heating greenhouses, generator heater blocks, internal office spaces and perhaps melting some snow on the sidewalk between the parking lot and front door, none of which will likely have a separate profitability line on the company 10K report? While shipping the hot air next door may not be a profit center, it can still deliver an internal benefit and some of these payback periods can still be relatively short. However, there are still significant opportunities associated with chilled water loops and various iterations of liquid cooling.
  7. The second category of data center energy recapture I will call “tapping the loop”, i.e. the chilled water loop. The figure to the right provides a simplified overview of the University of Syracuse’s data center and supporting electrical and mechanical infrastructure
  8. This example had several unique and innovative features for a decade-old deployment and actually represented a proof-of-concept collaboration between the university and IBM. First, primary power was generated on site by a roomful of natural gas-powered turbines The electrical grid connection was purely as a back up to the back, i.e., there was N+2 turbine redundancy and then there was a propane reserve back-up to the liquid natural gas source and then full UPS battery back-up, charged by the turbine output The connection to the electrical grid was intended for use only after the upstream four levels had either failed or been exhausted Roger Schmidt, IBM Scientist Emeritus who was the IBM Technical Lead on this project, informed me that after ten years the turbines had worn out and the cost of electricity was so low that the university has since converted this data center over to a traditional chiller and cooling tower mechanical infrastructure. Nevertheless, this facility had a good run and provided impetus for explorations in the benefits of loop tapping.
  9. - The figure here dramatically over-simplifies what they accomplished with this project, but it illustrates the basic building blocks into which all the detailed engineering is applied.
  10. - The basic elements of this installation are not particularly innovative and have been employed in other places (data center as well as industrial) around the world over the years. Heat produced by the data center is captured on cooling coils and removed by water that is pumped through a heat exchanger under the street between the two sets of structures. Water passing through the other side of the heat exchanger has its temperature raised, but not raised high enough to be effective in providing comfort heating. Heat pumps with a coefficient of performance around 4 increase the temperature of the water to 120˚-130˚F, thereby economically generating a viable heat source for all the buildings of the Amazon campus. Boilers are in place in case the data centers do not produce adequate heat but, according to Jeff Sloan, McKinstry engineer who orchestrated this project, Amazon typically consumes only a small portion of the data center waste heat and the boilers have rarely operated since everything got up and operational. Once the heat is removed from the water to provide comfort heating in the office buildings and the associated biosphere dome, the return water from Amazon cools the data across the street.
  11. - Post-process return air of 149˚F was an adequate grade heat energy for both building heating and cooling through an absorption chiller, without requiring a boost from heat pumps
  12. It was within this operation that Dean Nelson and his team came up with a business mission-based data center efficiency metric tying data center costs to customer sales transactions, thereby giving form to that illusive tipping point between data center efficiency and effectiveness. In this case, the “customer” was internal and the waste heat was not used as a heat energy source but as a cooling source. The Project Mercury model does, in fact, offer a vision for low risk warm water cooling that could be available to many data centers without having to transition all the way to some form of direct contact liquid cooling. For example, data centers using rear door heat exchangers can operate with supply temperatures north of 65˚F, which easily exceeds the return temperature of a building comfort cooling return water loop. Tapping into the return water is essentially free cooling and then during the time of year when the building AC might not be running continuously (or at all, my friends in Minnesota), the rear door heat exchangers can be supplied through a free cooling heat exchanger economizer. The same principle applies to direct contact liquid cooling, which should be essentially free to operate in any facility with any meaningful-size comfort cooling load.