ITM for Energy Management OverviewITM Green Energy Agent Tivoli Usage and Accounting Manager Energy Management / (Eaton, Synapsense, APC, Johnson Controls, others) ILOG Maximo Enterprise

© 2009 IBM Corporation1

Energy Management for Smarter BuildingsDr Claire Penny

Niall Brady

21st May 2010

Transforming Ireland Seminar Series


Instrumented– Smart Meters - electricity, water, gas

– Building Management Systems and Building sensors - lighting, fire, environment, CO2

– Public safety and surveillance systems

– IP-enabled devices - servers, PCs, multifunctional devices, actuators, control devices

– Digital Media – Awareness Systems

Interconnected– Networked environments – fiber, wireless, public spaces, offices

– Media Applications- Voice, Television and Data

– Networked sensors, sensor platforms, concentrators

– Networked meters and building management systems

– Taxonomies for integration within buildings and across buildings at an enterprise level

– Interconnected systems - costs, space-use, portfolio management, facilities management

– Energy Supply Management – Solar, Wind, Cogeneration, District Energy Supply

Intelligent– “Enterprise-view” visibility of the building/campus/enterprise/city operations

– Smarter decisions to reduce operations costs, especially energy & water usage and emissions

– Optimization and integration of assets, resources, work, safety, environmental systems

– Real-time analytics of sensor & meter data to optimize operational performance

– Behavioral modeling of physical, natural, and people systems

– Visualization for user awareness and action

– Machine to machine optimization systems

– Cost Management

Smarter Planet – Smarter Buildings


“Data is exploding

and it’s in silos”

Smarter information

How can we take

advantage of the

wealth of

information

available in real

time from a

multitude of

sources to make

more intelligent

choices?

I Need Insight

Smarter Tools

How can we work

smarter supported

by flexible and

dynamic

processes

modeled for the

new way people

buy, live & work?

“New business &

process demands ”

I Need to Work

Smart

Smarter

infrastructure

How do we create

an infrastructure

that drives down

cost, is intelligent

and secure, and is

just as dynamic as

today’s business

climate ?

“My infrastructure is

inflexible and costly”

I need to respond

quickly

Smarter Energy Use

“Our resources

are limited”

I Need

Efficiency

How do we drive

greater efficiencies,

compete more

effectively, and

respond more quickly

by taking action now

on energy, the

environment, and

sustainability?

3

Smart Leadership Insights Change


Energy Efficiency Maturity Model

Monitoring and

Measurement

Retrofit and Repair

Control Demand

Benchmark of

energy usage

Determine Utility

usage profile

Implement Real-

time dashboard of

energy metrics

Analyze costs of

energy usage

Analyze Carbon

outputs

Energy

Performance

Management

Eliminate unused

assets

Determine

underutilized assets

Identify and eliminate

energy “hogs”

Measure Maintenance

schedules and

effectiveness

Forecast Usage

React to Cost and

Supply challenges

Shift loads

Implement Cultural

Conservation

programs

Peak Management

Continuously

Improvement

Establish new

baseline

Measure cost and

usage patterns vs

output and

inventory

Utilize renewable

supplies

Improve reliability

Measure Quality

Minimize waste

Total Potential

Efficiency Gain1 5%+

1Revolutionizing Data Center Efficiency – McKinsey & Co.

20%+ 30%+ 40%+


Energy Performance Management

Imagine the possibilities… Smarter Energy Management is…

…Efficiently automating Control system for energy conservation.

…Generating revenue from excess

capacity of power

…Reducing peak loads and

penalties from excess demand

…Linking processes, product

demand and part supplies to energy

demand requirements

…Forecasting energy use to reduce ongoing

costs and preventing high fluctuations in energy

costs…Providing employees with the ability to

visualize how they can make a difference

…automatically reacting to energy rate changes

…Determining an acceptable benchmark for Productions

…Enabling and controlling renewable supply of electricity

…Providing a measurement system for taxation

And cap and trade program verification

… Connecting Maintenance information to efficiency


Energy Performance Management Framework

Edge Domain Premises DomainAsset

Domain

-Sub-meters

-Fuel Gages

-Sensors & actuators

-Current Transformers

-Thermal Sensors

-BMS

Intelligent Event

Management and Control

Monitoring

Control

Alerts

Alarms

Notifications

Sensors

Meters

Application Domain

HVAC

Data Centres

Tivoli AEM Interface

Tivoli Partner Interfaces

ITM Green Energy

Agent

Tivoli Usage and Accounting Manager

Energy Management /

(Eaton, Synapsense, APC,

Johnson Controls, others)

ILOG

Maximo Enterprise Assets

Cell/ethernetIBM Carbon

Dashboard

IBM Green

Sigma

IBM Deep

Thunder

Omnibus Netcool Portal

IBM Director

Tivoli Monitoring / ITM for Green Energy

Active Energy Manager

Third Party

Sensory Systems

Lighting

Day Lighting

IT Assets


Green Sigma™ Snapshot

1. Concept & Planning

2. Define KPI’s,

Reduction Opportunities

3. Meters,

Base loads

4. Deploy the

Console

5. Optimise Processes

Devices

6. Control, Alerts,

Reports

Lean Phase (Best Practices) Six Sigma Phase

3. Dashboard Facilities, IT,

Mfg data• BMS

• Meters

• Sensors

• EEMS

Ideal Ops

Model

Ops data

15 min

Green

SigmaTM

Analytics

Status,

Alerts,

Reports

Operational Control,

Avoid backsliding

1. MethodologyDefine energy draws,

ideal operation,

opportunities

2. Analytics•Six Sigma toolset for answering “what if” questions

•IBM advanced analytics (SPSS)For continuous

improvement


The Green Sigma™ Dashboard for Energy proactively monitors KPI

data, alerts and trends, and enables drill-down analysis…

IBM Green Sigma™


Green SigmaTM Analytics


Type A Analytics

Metering Data Flow

2. Energy

Waste

Minimisation

1. Energy

Waste

Avoidance

Type B Analytics

2. Energy

Use Modelling

1. Offline

Statistical

Analytics

SEU* Optimization

Technical

Equipment

Enhancements

Statistical

Optimisation

of SEU’s

* SEU – Significant Energy User

+ +

Green Sigma™ Analytics Touchpoints for Energy Conservation


Energy Wastage Minimisation: AHU Excessive Heating

Dashboard Alert

ALERT_ID LOCATION DEVICE ALERT_DESCRIPTION FIRST_OCCURENCE

18006 Building 1 B1 AHU 2 AHU Performing Excessive Heating 03/03/2010 08:50

Month 3 3 3 3 3 3 3 3 3 3

Day 3 3 3 3 3 3 3 3 3 3

Hour 0 1 2 3 4 5 6 7 8 9

Day of the Week Wed Wed Wed Wed Wed Wed Wed Wed Wed Wed

Average OAT Temp 5.4 5.6 5.8 5.8 5.7 5.5 5.2 5.2 6.2 6.7

Rule 6 AHU Performing Excessive Heating

Building 1

B1 AHU 2 0 0 0 0 0 0 0 0 1 1

B1 AHU 4 0 0 0 0 0 0 0 0 0 0

B1 AHU 5 0 0 0 0 0 0 0 0 0 0

B1 AHU 6 0 0 0 0 0 0 0 0 0 0

B1 AHU 7 0 0 0 0 0 0 0 0 0 0

B1 AHU 8 0 0 0 0 0 0 0 0 0 0

B1 AHU 9 0 0 0 0 0 0 0 0 0 0

Building 1 Alert Flag 0 0 0 0 0 0 0 0 1 1

Outside air temperature (OAT) is

measured and historic information

built up.

Business rule triggers an alert to

inform the end-user that at the AHU

is performing excessive heating.


Energy Wastage Minimization: AHU Excessive Heating (continued)

Month 3 3 3 3 3 3 3 3 3 3 3

Day 3 3 3 3 3 3 3 3 3 3 3

Hour 0 1 2 3 4 5 6 7 8 9 10

Minute 5 5 5 5 5 5 5 5 5 5 5

Day of the Week Wed Wed Wed Wed Wed Wed Wed Wed Wed Wed Wed

Average OAT Temp 5.4 5.6 5.8 5.8 5.7 5.5 5.2 5.2 6.2 6.7 7.1

Building 1B1 AHU 2 Schedule FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE

B1 AHU 2 Run 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.96 1.00 1.00

B1 AHU 2 FA Damper 25.0 100.0 64.8 25.0 59.7 25.0 25.0 25.0 100.0 100.0 35.1

AHU 2 LPHW Energy Usage 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 39.2 11.9 4.9

B1 AHU 2 Alert 0 0 0 0 0 0 0 0 1 1 0

AHU 2 is

operational

Calculated

Energy

wastage and

alert due to

heating excess

cold air

Work order

generated from

Alert

Excessive cold

air ingress


AHU Cold Deck Cooling Valve Passing

Dashboard Alert

ALERT_ID LOCATION DEVICE ALERT_DESCRIPTION FIRST_OCCURENCE

17825 SVL SVL-Tower C Cold Deck AHU Cold Deck Cooling Valve Passing 23/02/2010 19:04

Month 2 2 2 2 2 2 2 2 2

Day 23 23 23 23 23 23 23 23 23

Hour 14 15 16 17 18 19 20 21 22

Day of the Week Tue Tue Tue Tue Tue Tue Tue Tue Tue

Average OAT Temp 48.2 47.9 48.2 47.0 46.8 46.7 45.9 45.5 46.0

Rule 18 AHU Cold Deck Cooling Valve Passing

Tower C

Tower C CD Fan Running 1 1 1 1 1 0 0 0 0

Passing Valve Conditions Met 0 0 0 0 0 1 1 1 1

Tower C Alert Flag 0 0 0 0 0 1 1 1 1


AHU Cold Deck Cooling Valve Passing - Analytics Alerting Details


Boiler Gas Energy Usage outside Statistical Norms

B3 Boiler 1 Performance : Gas Usage per Boiler %Loading

y = 1357.6x

R2 = 0.9127

0.0

200.0

400.0

600.0

800.0

1000.0

1200.0

0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 100.0%

kW

h

B3 Boiler 2 Performance : Gas Usage per Boiler %Loading

y = 1359.6x

R2 = 0.8903

0.0

200.0

400.0

600.0

800.0

1000.0

1200.0

0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 100.0%

kW

h

Increasing Slope on regression line over time Is an indicator of increasing gas usage within the boiler

Type 2 Business Rule generated to capture this change

Alert to Maximo to create WO to inspect actual boiler for any functional problems

Offline Analytics Opportunity to perform a statistical peer review of boiler estate** to identify any outlier boilers that can be marked for special Maintenance Attention

** typically similar plant make/model and specifciation is installed at time of building construction


CHW Circuit Non Functioning Variable Speed Drive

Annualised Saving* = 65,700 kWh

* VSD Drive efficiency improvement – average load reduction of 10%

Variable Speed Drive showing non

modulation with respect to CHW load/efficiency

Deployment of Energy Meter


Offline Analytics Chiller Performance Preliminary Analysis

Recommendation : Run Chiller 1 in lead mode in Building 3 (75/25)

Annualised Potential Saving = 195,000 kWh

Major Power Usage between

Chillers

Avg Hourly

Load

Chiller 1 86.7

Chiller 2 No data

% Diff N/A

Chiller 1 42.9

Chiller 2 167.6

% Diff -291%

Chiller 1 58.7

Chiller 3 64.2

% Diff -9%

Building 1

Building 3

Building 6


IBM Burlington Power Load Shedding


Savings with Green SigmaTM

Annual

Savings $

Description Analytics

$63K 2 AHU’s running overnight and

week-ends

Cold Deck Operating

outside of office hours

$16K Chiller in heat recovery mode

when not needed (Overnight

and week-ends)

Chiller in heat recovery

mode outside office hours.

$6K Chilled Water Valve Leaking

through when it was

commanded off.

Cold Deck Chilled Water

Valve Passing

$6K Spike in Chilled water

Temperature calling Second

Chiller On prematurely.

Observed while looking at

the data.

$91K Total

Electricity Breakdown

Building

2009gWh

r

2008gWh

r YOY Delta (gWhr) YOY Delta (%)

Building 1-4 11.7 16.3 -4.6 -28%

Building 6 9.3 9.5 -0.2 -2%

B7/CSB1/Annex 2.0 2.1 -0.2 -8%

Total 23.0 27.9 -4.9 -17.7%

Gas Breakdown

Building

2009gWh

r

2008gWh


Building 1-4 6.6 14.0 -7.4 -53%

Building 6 2.70 2.84 -0.14 -5%

Total 9.3 16.9 -7.5 -45%

Total Energy (Electricity + Gas) Breakdown

Building

2009gWh

r

2008gWh


Building 1-4 18.4 30.3 -12.0 -39%

Building 6 12.0 12.3 -0.3 -3%

B7/CSB1/Annex 2.0 2.1 -0.2 -8%

Total 32.3 44.8 -12.5 -28%


Energy Management for Smarter Buildings – Green SigmaTM

Identifies significant energy users

Device interrelationships and ideal operation

Realtime Energy Efficiency Alerts

Alert Response / Maximo Work Order

BMS Setting Adjustment

Historical Energy Analytics

Aggregated Energy KPI Reporting

Sustains implemented energy project

Multivariant Analysis

Target the source of particular alerts/anomalies

Historical non costly diagnosis of mechanical failures relating to energy assets


UCD Earth Sciences Institute with TCD TrinityHaus

Transforming Ireland Seminar Series

In conjunction with the TCD‐UCD Innovation Alliance Public Lecture Series

With the support of Business in the Community Ireland and in collaboration with

Comhar Sustainable Development Council, Environmental Protection Agency, Geological

Survey of Ireland, Sustainable Energy Authority Ireland, Dublin City Council,

Met Éireann, Enterprise Ireland, Marine Institute and Teagasc

For Further details on the seminar series is available contact [email protected]

A podcast of this seminar will be available on the ESI website soon, please join the online ESI mailing list for such notifications

mailto:[email protected]


Documents

ITM for Energy Management OverviewITM Green Energy Agent Tivoli Usage and Accounting Manager Energy Management / (Eaton, Synapsense, APC, Johnson Controls, others) ILOG Maximo Enterprise