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Understanding Power Usage Effectiveness (PUE) & Data Center Infrastructure Management (DCIM)

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(1)

Salim Janbeh

Physical Infrastructure Consultant

[email protected]

PANDUIT

(2)

You Can’t Manage What You Don’t Measure:

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3

Agenda:

1. Data Center Challenges

2. Power Usage Effectiveness Overview

(4)

Data center managers need accurate and timely

information to make better decisions in real time

Server

consolidation

Dynamic power

variation

Energy and

service

cost control

Virtualization

Increasing availability

expectations

Energy

Efficiency

Regulatory

requirements

Metrics and

reporting

Infrastructure

management

Cloud computing

Uncertain

planning for capacity

or density

Documentation

(5)
(6)

BMS

Po

w

er

Management

VM

Management

CMD

B

IT Tic

ke

ts

Ser

ver

Management

Cool

ing

Con

tr

ol

Facility Management

IT Management

(7)

DCIM

Connectivity management

Asset management

Capacity Planning

Power & environmental

Workflow generation

Reporting

DCIM becomes the centerpiece for operational

efficiency

Data collection,

meters, sensors, etc.

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Agenda:

1. Data Center Challenges

2. Power Usage Effectiveness Overview

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9

About the Green Grids

 A not-for-profit global consortium focused on driving

energy efficiency in the computing ecosystem.

 Developing meaningful and user-centric metrics to

help IT and Facilities better manage their

computing resources.

 Developing and promoting standards,

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Awareness

Why Create Metrics?

• If you can’t measure

it, you can’t improve it

Benchmarking

• Continuous

improvement of

operations

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Data Center Power Efficiency Metrics:

PUE and DCiE

PUE= Power Usage Effectiveness =

Total Facility Power

IT Equipment Power

DCiE = Data Center = =

Infrastructure Efficiency

IT Equipment Power

Total Facility Power

1

(12)

PUE provides a way to:

Improve a data center’s operational efficiency,

Compares with similar data centers,

Improving the designs and processes over time

Reduce infrastructure-energy consumption

Target or goal for new data centers.

Source: PUE - A Comprehensive Examination of the Metric

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13

Illustration of how PUE would be calculated in a data center

Source: PUE - A Comprehensive Examination of the Metric

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Measurement

Level 1 (PUE1)

L1 Basic

Level 2 (PUE2)

L2 Intermediate

Level 3 (PUE3)

L3 Advanced

IT equipment

energy

UPS outputs

PDU outputs

IT equipment

input

Total facility

energy

Utility input

Utility input

Utility input

Measurement

interval

Monthly

Daily

Continuous

(15 min or less)

Source: PUE - A Comprehensive Examination of the Metric

PUE Overview

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15

Source: PUE - A Comprehensive Examination of the Metric

PUE Overview

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16 Measurement Level 1 (PUE1) L1 Basic Level 2 (PUE2) L2 Intermediate Level 3 (PUE3) L3 Advanced IT equipment energy

Required UPS outputs PDU outputs IT equipment input Total facility

energy

Required Additional

recommended*

Utility input Utility input

UPS inputs/outputs Mechanical inputs Utility input PDU outputs UPS inputs/outputs Mechanical inputs Measurement interval

Required

Additional recommended* Monthly Weekly Daily Hourly 15 min 15 min or less

*Recommended measurements are in addition to the required measurements. The additional measurement points are recommended to provide further insight into the energy efficiency of the infrastructure.

Source: PUE - A Comprehensive Examination of the Metric

PUE Overview

Required and Recommended Measurement Points and Intervals

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17

Source: PUE - A Comprehensive Examination of the Metric

PUE Overview

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18

• Moving the monitoring location closer to the devices that are consuming the energy enables further isolation of distribution component losses.

• Dividing the Power path in multiple subzone enable better insight power consumption and and where possible efficiency gains can be made

• The data center operator must deal with multiple data collection systems which can be streamlined as integrated-measurement software solutions

Source: PUE - A Comprehensive Examination of the Metric

PUE Overview

Critical Power Path Measurement Points

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19

Efforts should be directed at determining the energy usage by system, including but not limited to the following examples:

 Cooling plant  Chillers  Towers  Pumps  Economizers  Thermal storage  Secondary chilled-water  CRAHs  Lighting

 Fans (fresh air and exhaust)  Security

 Fire suppression systems

Source: PUE - A Comprehensive Examination of the Metric

PUE Overview

Critical Mechanical Path Measurement Points

(20)

Addressing Challenges thru sub-zones

Power and energy management issues can be identified and resolved throughout all zones

1

1: Billing Reconciliation – Monitors the building

utility metering “Point of Entry”, providing power, oil, water, and gas consumption information and CO2 emissions.

2

2: Switchboard Distribution Board - Monitors

sub meters at the main distribution board for DC related equipment.

3

3: Plant Equipment - Distributed monitoring of

supporting facility services, including individual chillers, AHU, CRAC, UPS and lighting circuits.

4

4: Branch Circuit Monitoring of Data Hall –

Focuses on monitoring of total rack or cabinet IT loads and environmentals.

5

5: Rack & Cabinet Level Monitoring –

Intelligent monitoring and control of power

6

6: Device Level Monitoring –monitoring and

control of per outlet or device power, within a data center.

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21

3

Water Power In Gas

Main MV / LV Distribution Board (A or B)

Lighting Boilers Fire Security Chillers CRAC Back up

Generator

UPS

Sub PDU

Data Hall Environmental

Data Rack or Free Standing Equipment Individual Payloads & Devices

Power Monitoring Appliances

1 2 4 5 6 Oil

PUE Overview

(22)

SOURCE ENERGY

Energy Type

Weighting Factor

Electricity

1.00

Natural gas

0.35

Fuel oil

0.35

Other fuels

0.35

District chilled water

0.35

District steam

0.40

Source: PUE - A Comprehensive Examination of the Metric

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23

Measure PUE

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Report PUE

Source: PUE - A Comprehensive Examination of the Metric

Sample PUE Report

Interpretation

2.25 PUE L1, Single PUE measurement (2.25) taken using a level 1 meter placement

1.95 PUE L1, YM Yearly average PUE (1.95) using data points gathered monthly with a level 1 meter placement

1.6 PUE L1, MW Monthly average PUE (1.6) using data points gathered weekly with a level 1 meter placement

2.43 PUE L1, WD Weekly average PUE (2.43) using data points gathered daily with a level 1 meter placement

1.8 PUE L2, WC Weekly average PUE using data points gathered continuously with a level 2 meter placement

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25

Class of Measurement

Class Description Benefit to reporting organization

unrecognized A publicly reported result with no claims of following TGG’s guidelines. TGG will not comment on

unrecognized results

Reported A publicly reported result by the reporting organization claiming they followed TGG’s

measurement recommendations and nomenclature guidelines. TGG will not comment on reported results.

Reporting organization can use standard materials from The Green Grid to

explain process and results to audience

Registered A publicly reported result, with key report contextual data provided to TGG by the reporting organization to TGG’s data center performance database.

Official registration of reported results. Receipt of registration number from TGG. Link to public report data from TGG’s website.

Certified A publicly reported results, with key additional data required for third-party validation or certification of results, provided to TGG by the reporting

organization.

All benefits applicable to registered results, plus, consideration of reported results in future TGG award or

(26)

Agenda:

1. Data Center Challenges

2. Power Usage Effectiveness Overview

(27)

DCIM Software provides:

• A single reporting platform for

multiple data sources across all zones • Strong reporting, visualization &

analytics

• Scalable, highly accurate energy, environmental and physical security monitoring

• Unrivalled levels of granular

monitoring with exceptional accuracy • Real time dynamic and historical

reporting

• Business intelligence to improve efficiencies and reduce costs

27

Helping you to:

• Drive operational advantages,

sustainability benefits, and optimization programs

• Reduce OPEX

• Optimize capacity management

• Support centralized management and transparency of information

• Drive efficiency with a single pane of glass

(28)

PUE is the right metric to measure the efficiency of

the data centre

DCIM is the way to

eliminate risks

in Data Center

operation by

proactive

Capacity Planning

DCIM supports you in

rightsizing

your energy

equation across Facility and IT

Full featured DCIM suites supports

your decision

(29)

building a smarter, unified business foundation

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