jim tubbesing heath wilson apc/schneider north texas rep tubbesing solutions · 2016-02-04 ·...

Schneider Electric Cooling Portfolio

Jim Tubbesing – Heath Wilson

APC/Schneider North Texas Rep

Tubbesing Solutions

Schneider Electric 2

Data Center Cooling Agenda

1. How to size data center, server rooms, IDF

rooms, etc in 2015?

2. Changing Demand and how does that effect data

center cooling: servers no longer are constant

load, they are dynamic and therefore we need

dynamic cooling to support the load

3. Different Technologies to solve ever changing

loads


Calculating Cooling Requirements 1. IT Equipment (70-80%)

1. Rack loads

2. Non-rack loads

2. UPS & Power Distribution (10-15%)

3. Lighting (10%)

4. People (2%)

BUT…………calculating just the heat load

does not solve the entire equation

You must know the CFM at different loads

SEC Server Room Equipment List

Location Division Status Chassis / Type BrandModel/Type

Power (kW)

Frisco ME Active PowerEdge Server Dell R410 417












Frisco ME Active PowerVault StorageArray Dell MD3200 298

Frisco ME Active PowerVault StorageArray Dell MD3200 298

Frisco ME Active KACE KBOX K1100 Dell K1100 257

Frisco ME Active KACE KBOX K2100 Dell K2100 257

Frisco ME Active Network Switch Cisco 3750X 750


Frisco ME Active Network Switch Cisco 2960G 370






Frisco ME Active Network Switch Cisco 2960S 370


Frisco ME Active Network Switch Cisco 2960S 370

Frisco ME Active Router Cisco 1800 45



Frisco ME Active FirewallBarracuda

X300 450

Total 12119


Calculating Cooling Requirements

1. Below is a graph with different cfm for different types of equipment

12

10

8

6

4

2

0

0 100 200 300 400 500 600 700 800 900 1000

RackPower(kW)

Effective Cool Airflow Delivered to a Single Rack (cfm) (l/s)

0 47 94 142 189 236 283 330 378 425 472


Data Center Cooling Challenges

High Density Rack power densities of up to 50kW

or more per rack thermally challenge traditional data

centers that were designed for an average of 3kW

per rack

Changing Demand Data center lifetime will span

refresh cycles involving unknown load and therefore

heat profiles

Dynamic Loads Virtualization and dynamic servers

can cause roaming hot spots

Changing 20+ years of conventional thinking. Only one way to cool the data center

1

2

3

4

LoadLoad

CapacityPower/cooling

LoadVirtualized Load

LoadOriginal

LoadOriginal

LoadVirtualized

LoadVirtualized

LoadLoadLoad

Virtualized

LoadVirtualized

LoadVirtualized

LoadVirtualized

Scale DOWN Scale UP

http://en.wikipedia.org/wiki/File:Mohave_Generating_Station_1.jpg

http://en.wikipedia.org/wiki/File:Mohave_Generating_Station_1.jpg


Cooling Solutions: System Performance Characteristics

Scalable solutions capable of handling IT equipment heat loads from 1

to 50 kW per rack

Intelligent monitoring and dynamic controls system to adjust to

fluctuating IT heat loads and airflow requirements

Efficiently address data center cooling needs through the

implementation of a hybrid architecture

Minimize TCO through variable fan technology and right-sized

components

Heat removal at the source to eliminate mixing and ensure uniform inlet

temperatures to the rack


Raised Floor Architecture for Air

Distribution


Legacy Architecture – Raised FloorH

OT

A

IR

HO

T A

IR

COLD AIR/

PERFORATED TILES

COLD AIR/

PERFORATED TILES

COLD AIR/

PERFORATED TILES

Redundant Cooling

Design Parameters:

● 4kW per rack / 40 racks total

● Total power 160kW

● Room size: 38' x 38' x 14' high


Sectional Plane @ 5’-6” from Raised Floor

Redundancy:

● Initial temperature gradient

diagram shows all 5 CRAC

units on

Legacy Architecture - CFD

● Any unit failure results in

loss of cooling to an area

● N+1 at room level does not

always provide adequate

cooling in failure modes

Redundant & Predictable Cooling


New Cooling Architecture

Capable of handling high density racks

Fundamentally not require a raised floor

Modular

Simple to design

Predictable

Quick to deploy

High efficiency

• Delivering cold air is not the problem. Getting rid of the hot

air is!

• Preventing hot air recirculation into equipment inlets

prevents the servers from over heating.


Drivers for Development of

HACS/CACS

The drivers are:

• High energy costs

• Accelerated energy consumption rates

The separation of hot and cold air

“is one of the most promising energy-efficiency measures available

to new and legacy data centers today.”Bruce Myatt of EYP Mission Critical


Benefits of Containment

The Efficiency Benefits

• Cooling systems set to a higher supply temperature while still supplying the load with safe operating temperatures

• The elimination of hot spots

• Increased economizer hours

• Reduced humidification/dehumidification costs

• Better overall physical infrastructure utilization


Cold-Aisle Containment

Cold-aisle containmentsystem (CACS) deployedwith a room-basedcooling approach

A “homegrown”cold-aisle containmentsystem


Hot-aisle containmentsystem (HACS) deployedwith row-based cooling

Example of a hot-aisle containment system operating as an independent zone

Hot-aisle containmentsystem ducted to aremote air conditioner

Hot-Aisle Containment


Containment’s Effect on Work Environment

CR

AH

CR

AH

CR

AH

CR

AH

Cold aisle containment Cold aisle containment

Cold aisle containment Cold aisle containment

Tape

library

Storage

CR

AH

CR

AH

Hot aisle containment




CR

AH

CR

AH

Hot-Aisle Containment

Uncontained Work area becomes hot aisle

Cold-Aisle Containment

Tape

library

Storage

Uncontained work area becomes cold aisle

Non-racked equipment

ingesting air at same temperature

as servers

Non-racked equipment

ingesting higher temperature air

With cold-aisle containment, the uncontained area

becomes the same temperature as the

Hot Aisle

With hot-aisle containment, the uncontained area

becomes the same temperature as the

Cold Aisle

With CACS, high temperatures can be problematic

for IT personnel stationed in the

data center

With HACS, high temperatures

stay confined to thehot aisle and do not affect IT personnel

stationed in the data center


Predictable Cooling – Eliminate Mixing

● Traditional Approaches Allow cold

and hot air streams to mix

Cooling

Units

● Close Coupling of Row Cooling

keeps the hot air in the hot aisle

Cooling

Units

Target the Heat to

Eliminate Hot Spots which can

cause servers to overheat


Predictable Cooling – Intelligent Control

Active Response Controls Increase Availability by

Actively Responding to thermal Changes

Temperatures change entering

IT Equipment

InRow temperature probes

Sense changes and send signal

to controller

Controller adjusts cooling capacity

to balance with the heat load

Active Response Controls ensures

IT equipment is kept at the proper

temperature


Close Coupled Cooling – 30% More Efficient

Component

Power

Units

Fans 30.6 88.0 kW

Chilled Water

Pump

10.2 11.0 kW

Chiller 83.9 94.7 kW

Cooling Tower

Pump

18.5 18.5 kW

Cooling Tower 16.2 18.3 kW

Total Power 159.3 230.5 kW

Efficiency

Metric

0.21 0.31

Annual

Operating Cost

139,572 201,887 $ USD

InRow Air

HandlerComputer

Room Air Handler

65 %

7 %

11 %

Assumptions:

• 750 kW IT Load

• All Systems at 100%

• Sensible Cooling Load Only

11 %

-

Energy Efficient Cooling for Data Centers: A Close-Coupled Row Solution


Flexible - Install in any IT Environment

Existing

Data Center(Brown Field)

New

Data Center(Green Field)

With APC Racks Without APC Racks

http://www.tacc.utexas.edu/fileadmin/templates/SubtacctemplateStaticDropdown/images/ranger.jpg

http://www.tacc.utexas.edu/fileadmin/templates/SubtacctemplateStaticDropdown/images/ranger.jpg


Energy Efficient – Variable Capacity Control

Component

Power Units

Fans (750 kW IT Load)

30.6 88.0 kW

InRow

Air

Handler

Computer Room

Air Handler

Constant

Speed

Fans

Variable

Speed

Fans

Fans(600 kW IT Load)

18.4 88.0 kW

SAVINGS 12.2 0 kW

Reduces Load on Chiller

40 % Reduction

Fan Power

IT Load (kW)

Fan Power (%)

20%

Variable Cooling Capacity

Follows The IT Load

750 kW Data Center Example – Operating at 80%


Conclusion – HACS vs. CACS

• The key to efficient cooling strategies is the prevention of hot and cold air mixing

• Both HACS and CACS offer improved power density and efficiency when compared with traditional cooling approaches

• HACS is more efficient than a CACS

• HACS can save 43% in annual cooling system energy cost with a 15% reduction in annualized PUE compared to CACS while holding the uncontained data center area to 24°C/75°F

• HACS should be the default containment strategy for all new data center designs


Schneider Cooling Offering

Room

•Uniflair CRAH/CRAC

• InRow Self-Contained

•Room Air Distribution

•Air Removal Units

•Rack Air Distribution

• InRow Chilled Water

• InRow DX

•Pumped Refrigerant

•Thermal Containment

•EcoBreeze

•Chillers

•Heat Rejection

http://empire.apc.com/products/moreimages.cfm?partnum=ACRD100&type=Front Left&loc=79D30B4C-5056-AE36-FE42E0BAA20EAACF_pr.jpg

http://empire.apc.com/products/moreimages.cfm?partnum=ACRD100&type=Front Left&loc=79D30B4C-5056-AE36-FE42E0BAA20EAACF_pr.jpg


Thermal Containment


Traditional Cooling

● Best-In-Class efficiency

● Standard Features

● Electronically Commutated (EC)

fans

● Low coil impedance

● High Sensible Heat Ratio (SHR)

● Fan speed optimization

● Active stand-by mode

● 60-70% power reduction compared

to legacy CRAH/CRAC units


The Uniflair Difference

High efficiency in all operating conditions

Optimized air flow management

Compatibility with high-density cooling solutions

Compact dimensions

Innovative solutions

Maximum reliability


Features & Benefits

Availability Dehumidification operates without reduction in airflow

DDC modulation of 2 or 3-way CW valve for capacity control

Total Cost of Ownership Fans controlled to minimum speed required to achieve

target cooling

EC fans higher efficiency than even VFD driven fans

Compact dimensions minimize cooling footprint in IT space

Serviceability Front panels can be opened without special tools

Normal maintenance requires front access only

Push-button electrical panel catch opens without airflow

disruption

Flexibility Available in upflow and downflow with multiple airflow options

Adaptive controls for various types of installation


Immersed Electrode Humidifier (Carel)

Backward Curved EC Fans (EBM Pabst)

30% Efficiency Air Filters (MERV 7)

Temperature and Humidity Sensor (Carel)

Microprocessor Controller (Carel)

Manual Disconnect Switch (Schneider

Electric)

User Interface (Carel)

Cooling Coil (Heatcraft/Luvata)

2 or 3-Way Valve & Actuator (Schneider

Electric)

Integrated Airflow Switches

Front Service Access

1

2

3

4

5

6

7

8

9

10

11

1

2

3

4

56

7

8

9

10

11

Pictured: TDCV2500 (25-Ton est. capabity)

Efficient - Components


Summary

1. Sizing, need to ask for the server information,

not just the watt load. Call TSC if you need help.

2. As data centers continue to evolve, new

technology is going to be needed to insure the

most effiecent solution is created.

3. Remember, APC has all the different

technologies to solve these issues.

jim tubbesing heath wilson apc/schneider north texas rep tubbesing solutions · 2016-02-04 ·...

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