Understanding Power Usage Effectiveness (PUE) & Data ... · Salim Janbeh Physical Infrastructure Consultant [email protected] PANDUIT Understanding Power Usage Effectiveness (PUE)

Salim Janbeh

Physical Infrastructure Consultant

[email protected]

PANDUIT

Understanding Power Usage Effectiveness (PUE) &

Data Center Infrastructure Management (DCIM)

You Can’t Manage What You Don’t Measure: A Predictive Approach to Energy Efficiency

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Agenda:

1. Data Center Challenges

2. Power Usage Effectiveness Overview

3. Data Center Infrastructure Management Software Requirement

In an environment of constant Change

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 requirements

Too much data in siloes systems…

BM

S

Pow

er

Man

agem

ent

VM

Man

agem

ent

CM

DB

IT T

icke

ts

Serv

er

Man

agem

ent

Co

olin

g C

on

tro

l

Facility Management

IT Management

Seamless integration of Key data B

MS

Pow

er

Man

agem

ent

VM

Man

agem

ent

CM

DB

IT T

icke

ts

Serv

er

Man

agem

ent

Co

olin

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Facility Management IT Management

Data Center Infrastructure Management (DCIM)

DCIM Connectivity management

Asset management Capacity Planning

Power & environmental Workflow generation

Reporting

DCIM becomes the centerpiece for operational

efficiency

Data collection, meters, sensors, etc.

IT Systems, VM

Management, Etc.

Facility Management (BMS, Power

Management, Cooling control,

etc.)

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Agenda:



3. Data Center Infrastructure Management Software Requirement

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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,

measurements, methods, best practices and

technologies that support these metrics.

Awareness

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Why Create Metrics?

• If you can’t measure it, you can’t improve it

Benchmarking

• Continuous improvement of operations

• Comparing across the industry

• Improvement over time/generation to generation

• Validate claims

Consistency

• Common vocabulary

• Industry & Government Collaboration

• Better Efficiency

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

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PUE

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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

PUE Overview

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Illustration of how PUE would be calculated in a data center


PUE Overview

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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)


PUE Overview

PUE CALCULATION CONSIDERATIONS

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PUE Overview

Three PUE measurement levels for a typical data center

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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.


PUE Overview

Required and Recommended Measurement Points and Intervals

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PUE Overview

Required and Recommended Measurement Points

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• 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


PUE Overview

Critical Power Path Measurement Points

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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


PUE Overview

Critical Mechanical Path Measurement Points

Addressing Challenges thru sub-zones

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

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1: Billing Reconciliation – Monitors the building utility metering “Point of Entry”, providing power, oil, water, and gas consumption information and CO2 emissions.

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2: Switchboard Distribution Board - Monitors sub meters at the main distribution board for DC related equipment.

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3: Plant Equipment - Distributed monitoring of supporting facility services, including individual chillers, AHU, CRAC, UPS and lighting circuits.

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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

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6: Device Level Monitoring –monitoring and control of per outlet or device power, within a data center.

PUE Overview

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3

Water Power In Gas

Main MV / LV Distribution Board (A or B)

Lighting Boilers Fire Security CRAC Chillers Back up Generator

UPS

Sub PDU Data Hall Environmental

Data Rack or Free Standing

Equipment

Individual Payloads &

Devices

Power Monitoring Appliances

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2

4

5

6

Oil

PUE Overview

Addressing Challenges thru sub-zones

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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


Measure PUE

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Measure PUE


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Report PUE


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

2.1 PUE L3, YC Yearly average PUE (2.1) using continuous measurements with a level 3 meter placement

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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 recognition program

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Agenda:



3. Data Centre Infrastructure Management Software Requirements

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

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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

DCIM Software Requirements

• 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 making with knowledge rather then information overload

To summarize:

building a smarter, unified business foundation

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Understanding Power Usage Effectiveness (PUE) & Data ... · Salim Janbeh Physical Infrastructure Consultant [email protected] PANDUIT Understanding Power Usage Effectiveness (PUE)

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