Benchmarking results from Indian data centers

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Benchmarking results from Indian data centers

Madhav Kamath. A

Energy Efficiency Finance Lead

USAID ECO-III Project

Data Center Energy Efficiency

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A benchmark is …

a point of reference for measurement

THE RANGE OF USES INCLUDES:

!  Comparing with typical examples

where do we fit?

!  Comparing with best practice

are we doing well?

!  Setting a challenge

can we do

better?

!  Setting targets

we plan to

achieve …

!  Avoiding exaggeration

are our targets realistic?

!  Follow-through reality checks

is the design drifting off?

!  Providing feedback

did we meet our goals?

!  Providing insights

if not, why not, what can we learn?

IT IS NOT an end in itself, e.g. “meeting the benchmark”

BUT a means of developing understanding

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What does Benchmarking do?

Benchmarking

!  Serves as an excellent baseline "report card”

!  Identifies specific problem areas and eliminates guesswork

!  Helps to prioritize improvement opportunities

!  Makes it easier to increase performance expectations and "raise

the bar"

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Benefits of Benchmarking

!  Designers, Owners and Users

–  Designers /ESCOs – Building

performance targets for new and

existing data centers

–  Owners/Users – Measure the

performance of their data centers

–  Building portfolio managers can

compare the performance of individual

facilities to others

!  Data Center Developers and

Operators

–  Helps to assess the potential savings

–  Use of appropriate products and

technologies

!  Policy Makers

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Facility Data

ID

!

Data

!

ID

!

Data

!

General Data Center Data

!

Data Center Energy Data

!

dB1

!

Data Center Area (electrically active) (m2₎

!

_dE1

!

_{Total Electrical Energy Use (kWh)}

!

dB2

!

Data Center Location

!

dE2

!

IT Electrical Energy Use (kWh)

!

dB3

!

Data Center Type

!

dE3

!

HVAC Electrical Energy Use (kWh)

!

dB4

!

Year of Construction

!

dE4

!

Total Fuel Energy Use (kWh)

!

Cooling

!

dE5

!

Total District Steam Energy Use (kWh)

!

dC1

!

Average Cooling System Power Consumption (kW)

!

dE6

!

Total District Chilled Water Energy Use (kWh)

!

dC2

!

Average Cooling Load (tons)

!

Air Management

!

dC3

!

Installed Chiller Capacity (w/o backup) (tons)

!

dA1

!

Supply Air Temperature (°C)

!

dC4

!

Peak Chiller Load (tons)

!

dA2

!

Return Air Temperature (°C)

!

dC5

!

Air Economizer Hours (full cooling) (hours)

!

dA3

!

Supply Air Relative Humidity (%)

!

dC6

!

Water Economizer Hours (full cooling) (hours)

!

dA4

!

Return Air Relative Humidity (%)

!

Electrical Power Chain

!

dA5

!

Rack Inlet Mean Temperature (°C)

!

dP1

!

UPS Peak Load (kW)

!

dA6

!

Rack Outlet Mean Temperature (°C)

!

dP2

!

UPS Load Capacity (kW)

!

dA7

!

Total Fan Power (Supply and Return) (W)

!

dP3

!

UPS Input Power (kW)

!

dA8

!

Total Fan Airflow rate (Supply and Return) (m3_/

s)

!

dP4

!

UPS Output Power (kW)

!

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Benchmarking Metrics

ID! Name

!

Unit

!

Overall Data Center Performance Metrics

!

B1! _{Data Center Infrastructure Efficiency (DCiE)}

!

_-

!

B2! _{Power Usage Effectiveness (PUE)}

!

_-

!

B3! _{HVAC System Effectiveness}

!

_-

!

Air Management Metrics

!

A1! _{Temperature Range}

!

_°C

!

A2! _{Humidity Range}

!

_%

!

A3! _{Return Temperature Index}

!

_%

!

A4! _{Airflow Efficiency}

!

_W/m3/sec

!

Cooling Metrics

!

C1! _{Cooling System Efficiency}

!

_kW/ton

!

C2! _{Cooling System Sizing Factor}

!

_-

!

C3! _{Air Economizer Utilization Factor}

!

_%

!

C4! _{Water Economizer Utilization Factor}

!

_%

!

Electrical Power Chain Metrics

!

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Data Center Benchmarking

PUE

DCiE

Level of Efficiency

3.0 33%

Very Inefficient

2.5 40%

Inefficient

2.0 50%

Average

1.5 67%

Efficient

1.2 83%

Very Efficient

PUE = Total Facility Power/ IT Equipment

Power

DCiE = IT Equipment Power/ Total Facility

Power

Power Usage

Effectiveness

Data Center

Infrastructure

Efficiency

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Data Center Benchmarking - PUE

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Data Center Benchmarking - PUE

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Data Center End-use breakdown

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Benchmarking results from Indian data centers