Facilities & Data-center Convergence – the Next Frontier

MaryAnn Ibeziako, – Director of Engineering – University of Maryland at College Park

IT-Data-center consumed between 20-40 % of organizations energy load. First in class organization can

potentially save 25% in energy costs if the IT-Data-center worked in partnership with the Facilities

– Schneider Electric.

Why Convergence?

Political

Technology

Economic

Social

Responsibility

Convergence will encourage IT-Data-center to

invest only in remotely managed “power-aware”

devices, use of new apps, energy management

systems, as well as take advantage of Cloud

computing.

Regulations, compliance, “cap & trade”, carbon

tracking and credits

Reduce carbon emissions, project positive

consumer image, corporate “greenwashing”

Save money, rising global energy costs,

increasing consumption, waste, conservation

Energy Market & the Need for Convergence

Global Energy Demand Global Energy Supply

• Regulatory compliance

• Government mandates

• Company requirements

• Rising energy costs

• IT device proliferation

• Video applications

Cost Savings Sustainability Mandates

Energy Operational Costs Opportunity in Enterprise IT

Source: BOMA 2006, EIA 2006, AIA 2006

Source: UK Energy Efficiency Best Practice Program; Energy Consumption Guide 19: Energy Use in OfficesSource: Gartner Dataquest, Forecast of IT Hardware Energy Consumption, Worldwide, 2005-2012.

Transportation

25%

Manufacturing

50%

Buildings

25%

Lighting

11%

Heating, Cooling,

and Ventilation

58%

Other 6%

PCs, Laptops &

Monitors

31.5%

Enterprise/SMB

Comm. 13.3%

Printers 14.5%Servers 16.2%

Wired Telecom

11.1%

Wireless

Infrastructure

7.3%

Consumer

Communications

6.1%

IT

Equipment

IT

Equipment

25%

Handheld

Devices

0.5%

Total Energy

Consumption

Enterprise

Buildings

Enterprise Carbon and Energy

Management (ECEM) Systems

Source: Forrester

Lighting

IP network

User services and technologies

IP-based

Audio and video conferencing

Networked PCs

Interactive media

Digital signage

Energy

IP telephony

Building services and technologies

IP & non-IP based

Power management

24/7 monitoring

HVAC-sensors

Fire and Safety

Video security

Access Control

Energy

Opportunity in Convergence

Wireless

VPN, Internet

Aside from Cost What Specific Problems

Will Convergence Address?

Energy

Needed

Actual

Energy Usage

ENERGY GAPIT & FACILITIES

INFRASTRUCTURE

1

2

3

4

5

7

6

Data Processing Standard

Source: Cisco System

What Will Convergence Do?

Monitor

Analyze

Control

Measure Energy Consumption and

Utilization of ALL network-

connected devices and systems:

• Distributed Office Network• PCs, MAC, VoIP phones,

access points, copiers, printers,

etc.

• Data Center• Servers, routers, switches,

storage

• Facilities • HVAC, Lighting, PDU

Powerful Energy Intelligence

• Energy Cost

• Energy Usage

• Energy Reduction

• Carbon Emissions

• Date/Time

• Location

• Cost Center

• Event Based Policy

• Rule Based Policy

• Energy Use Simulation

• ROI Modeling

• Device Utilization

• Load Adaptive Computing

ENERGY

USAGE

What Will Operation Look Like After

Convergence?

Facilities

Operation

Shared

Knowledge

IT Operation

Savings from

Convergence

Result is shared knowledge, information, skills and

expertise is exchanged between Facilities & Data-

center staff and benefit the university immensely.

Facilities operation including policies & procedures

will remain the same – with additional collaborative

support coming from IT.

Result will be cost savings, reduce carbon emissions,

and IT-Data-center become Climate Action Partner

IT Operation including policies & procedures will

remain the same - with additional collaborative support

coming from Facilities

Convergence will provide

Enterprise wide visibility…

IP-enabled Infrastructure

Energy Domains

Distributed

Offices

Data

CentersFacilities

Monitor

Analyze

Control

Monitor

Analyze

Control

• Energy Consumption

• Carbon Emissions

• Energy Costs

• Energy/Carbon Reduction

Driving Energy Intelligence

Utilization Energy

ConsumptionEnergy

Optimization

+ =

Convergence Lead to Cost Savings

Without Costly Software Agents,

Hardware Meters or Network Changes

NETWORK

CONFIGURATION

CHANGES

SOFTWARE

AGENTS

EXPENSIVE

HARDWARE

METERS

Through Convergence Centralized Policy

Can be Used to Enforce Energy Savings

Time-Based

Facilities:

Set Points

Distributed Office:

PC Power Mgmt

Wireless Access Point

VoIP Handset

Event-Based

Demand Response:

Respond to Energy

events with policies

Systems

Management:

Integration with

Systems

Management tools

and user

authentication events

Location-Based

Using GPS Smart

Phone and Badge

Management

Integrates with:

Facilities

PC Power Mgmt

VoIP Handsets

Data Center

Load Adaptive Networking

Scale switch performance

based upon network load

Enable EEE in the Domain

Controller

Load Adaptive Computing

Scale server performance

based upon utilization

Maximize VM Energy

Efficiency

Policy Can be Simulated to Prove

Savings to Finance Department

“What-If” Scenarios Scenario #1

Scenario #2

Scenario #3

Save $X

Save $Y

Save $ZSANDBOX

Policy

Energy Management Architecture

• Discovery & Measurement

• Analysis & Simulation

• Policy & Control

• Reporting & Decision Support

Management

Dashboard

SNMP

Web

Services

Intel DCM

Cisco

EnergyWise

PoE Non-PoE

Data Center FacilitiesDistributed Office

IPMI

WMI

vPro

SSH

BACnet

LonWor

ks

ModBUS

Enterprise

Energy

Reporting

Energy

Manager

Devices &

Systems

Smart

Phone

Mobile

GPS

Employee

Software Portal

- Fieldserver

- BMS

Energy

Manager

Non-IP

Data Center FacilitiesDistributed Office

IT-Plug Mgmt.

Integrated Facility/Data-center

Deployment

FMS/BCS

SwitchRouter

Occupancy

Detectors

VAV

FCU

Heat

Pump

Chilled

Beam

Boilers

RTU

HVAC

Meters

Sub

Meters

Refrigeration

Solar

PVThrash

Compac

tor

Sprinkle

r

Fire Alarm

System

Smoke

Senso

r

Sound

er

Break

Glass

Lighting

Control

General

Lighting

DSI/DALI

Interface

ElectricalEnergyWise

Filer

UPSPDU

PFU

Sensor

CDU

Smart UPS

CRAC

Counter

DCCWireless

Meter

Dashboard

Energy Visibility to Automation

VISIBILITY AUTOMATION

• Monitor and measure all IP device

metrics

• Data: make, model #, configuration,

status, CPU utilization, energy

consumption, temperature, fan speed,

carbon emissions, etc.

• By time, date, location, cost center,

application, business unit, division,

customer, etc.

• Identify trends, prioritize savings

opportunities, simulate potential cost

savings, forecast capacity

• Predictive analysis provides actionable

information for fast decisions

• Facilities Staff can help optimize data

center resources: space, power and

cooling to extend the life of the data

center

• Pinpoint data center resources to

consolidate & Virtualization projects

• Commission new servers and

applications in minutes, not days

• Save energy through automated

control policies for “power capping” or

“performance leveling” during non-peak

times

• Retire, upgrade and/or virtualize under-

utilized compute resources

• Save time, space, and energy

ANALYTICS

Savings & ROI Opportunities through

Convergence

*Estimates 65% desktops, 35% laptops, 1 AP for every 20 employees, everyone has an IP Phone. Assumes $0.12 per kWh (kilowatt-hour).

Based on powering down 10 hours/night, 24 hours on weekends. Laptops are 10-20% based on low percentage left in office at night and weekends.

Results in up to $50K in Savings Annually (per 1000 employees)

$95

$35

$30

$12

$7

50-60%

10–20%

50-60%

50-60%

50-60%

$50-60

$6-8

$15-18

$6-7

$4-5

Desktop

Laptop

Monitors

PoE AP

IP Phones

Possible Annual

Energy Cost by

Device

Possible Annual

Savings

Possible Annual

Savings per Device

Per 1000 Employees Working 9 Hours a Day, 5 Days a Week…

Operating Savings:

Distributed Office

$33,962

$1,837

$10,725

$330

$3,850

Annual Total Savings

*Estimates assume $.12/kWh. 10% or 100 retired servers save $400 each. 5% or 50 servers are upgraded and save $100 each per year because new servers are more energy

efficient. 20% or 200 servers are virtualized at a ratio of 10:1. Therefore, 200 servers are replaced with 20 servers costing $600 in energy/server. 30% of servers or 300 can be

power capped 8 hrs/day consuming 50% less power/cost for those hours, saving 16%. Indirect savings costs/server are from software licenses , support and maintenance.

Cooling savings is based on 2.0 PUE.

Results in up to $446K (55%) in Savings Annually per 1000 servers

$400

$400

$400

$400

100%

25%

85%

16%

$400

$100

$400

$64

Per 1000 Data Center Servers

Operating Savings: Data Center

Power Cap

Servers

Retire Dead

Servers

Virtualize

Servers

Upgrade

Servers

10%

5%

20%10:1

30%

$40,000

$5,000

$68,000

$19,200

Direct Costs

Indirect Costs

100% $500

Annual Indirect Costs

by ServerAnnual Savings

Annual Savings per

Server

Retire Dead

Servers (Licenses,

Support & Maint)$50,000

10%

$400 100% $400Cooling

Savings $264,000

Total Annual Savings

Possible Annual

Energy Cost by

Server

Possible Annual

Savings

Possible Annual

Savings per Server

Total Annual Savings

$500

2.0 PUE

Energy DashboardReporting Reporting