Asset Based Energy Optimisation for FacilitiesRick van DrielFacilities Management Solution ExecutiveIBM, Asia [email protected]
Facilities Management
Green Buildings
Smart Buildings
Industry Leader in Provision of Solutions, including;– Maximo for Facility Management (Leader in Gartner Magic Quadrant (EAM))– Tririga IWMS (Leader in Gartner Magic Quadrant (IWMS))– IIBM (New Solution Offering, released June 2011)
FM Customer Base WW– 1,000+ FM Customers– Cross Industry– FMMUG 500+ Members
About IBM and Smarter Buildings
Education and Higher Ed Hospitality Retail
Health Care
Manufacturing
Public Sector
Service Providers
IBM Property– 10million square metres of Real Estate– Energy Initiatives - $370m cost reduction– 5.1b Kilowatt hours – total reduction– 3.4m Tons Carbon Reduction (20years)
The need for progress is clear
2025By 2025, buildings worldwide will become the top energy consumers.
1Buildings are the number 1 contributor to global CO2 emissions.
2Real estate is the second largest expense on the income statement for most companies.
In most organizations the real estate portfolio is on the balance sheet as the third most valuable or expensive single asset.
3
42 percentWorldwide, buildings consume 42% of all electricity – up to 50% of which is wasted.
30 percentFacilities investments and operating costs can be more than 30% of corporate annual spending.
So Where is the 50%, How do we Go GreenStarts with Design, design can reduce as much as 30% alone
– New Buildings, arguable, additional investment– Existing Building, retrofit,
Includes;– Passive Design, Double Glazing, Alt Power, etc– Active Elements; BMS’, CMMS &/or IWMS, etc
Integrate, Analyse, Optimise
Air Handling Units
One of the Highest Energy Consuming pieces of plant in the built environmentHave the capacity to lose large volumes of air through poor design implementation such as duct sealing.Consists of a large number of smaller plant based components; Filters, Pumps, Coils, Fans, etc…Each component, uses energy, has the potential to fail, has maintenance requirements
Getting the most out of your AHU
Monitor the correct elementsMaintain all data; readings, maintenance, FaultsAnalyse the dataProper Maintenance strategies
Ene
rgy
Sav
ings
$$$
Years – Life Cycle
Maintenance Costs $$$
System at peak performance
Installation/ Commissioning System decline
Savings $$$
Replacement decision
FIMs
Technology
The Average Return on Investment for Energy Efficiency Projects is > 20%
FIMs – Facility Improvement Measures
The application of technology, information to make better decisions and facility improvement programs that deliver measured results.
4. Improvement
Green Sigma TM analytics are key component for managing intelligent buildings
3. Analytics
2. Data Store
Enterprise Reporting
Feed
Statistics/Models for
Improvement
Work Orders, Excel, Browser,
Planning
IdentifiedImprovement
actions/projects
1. Sensing-Monitoring
Targeted data acquisition
Meta-data model• Contextualization• Interrelationships
5. Sustainability & Reporting
Agnostic software solutionCan push data from any BMS
No requirement for a hardware bridge Rule 2a 2b 3a 3b 4c 4d 4e 6a 7a 7b 8a 8b 8c 8d 10a 18 19 21e 21f Time PeriodSeverity (5=Highest) 5 5 3 3 3 3 5 5 5 5 3 4 3 4 3 3 3 5 5 Rolling 7 days
Savings Value (H-igh,M-edium) H H H H H H H M M M M M FromSavings Factor (months) 6 6 6 6 6 6 6 12 12 12 12 12 12 12 12 8/24
Start Day 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 ToStart Month 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8/30
End Day 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 3010 to 25 End Month 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 25 to 50
25 to 50 50 to 100>50 >100
Color Coding: Alerts by
Rule Asset
2a 2b 3a 3b 4c 4d 4e 6a 7a 7b 8a 8b 8c 8d 10a 18 19 21e 21f
Color Coding: Alerts by Asset
RCHB0201527 0 0 0 11 0 0 0 0 10 30 15 28 0 53 0 0 6 0 3 113RCHB0201529 0 0 0 46 0 0 0 91 50 41 41 60 0 105 0 0 0 0 7 340RCHB0303572A 0 3 2 7 0 0 0 0 0 2 16 19 0 0 0 4 0 0 46 64RCHB0303574A 0 0 0 12 0 0 0 0 5 11 ##### ##### 0 0 0 4 3 0 66 101RCHB0303575A 0 0 0 12 0 0 0 4 5 15 31 53 0 0 0 0 26 5 2 69RCHB0401565 0 0 0 41 0 0 0 0 0 0 ##### ##### 0 0 13 0 0 0 8 62RCHB0402505 0 0 0 38 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 8 46RCHB0403509 0 0 2 38 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 8 48RCHB0403552 0 0 0 0 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 8 8RCHB0503550 0 0 0 15 0 0 0 2 2 0 65 69 0 0 0 20 0 0 27 66RCHB1011003 0 0 0 25 0 0 0 0 0 0 87 118 0 0 0 0 0 1 4 30RCHB1011004 0 0 0 22 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 1 4 27RCHB1011013 0 0 0 10 0 0 0 0 15 5 ##### ##### 0 0 0 0 0 0 86 116RCHB102MJ49AC2 0 3 13 9 0 0 0 0 0 0 55 113 0 25 0 0 0 0 106 156RCHB102MK49AC1 0 0 0 25 0 0 0 0 0 0 ##### ##### 0 9 0 0 0 0 123 157RCHB1032020 0 0 0 0 0 0 0 62 20 32 13 86 0 30 0 24 0 0 63 231RCHB1032021 0 0 0 12 0 0 0 62 20 32 80 108 0 30 0 0 0 0 63 219RCHB1051001A 0 0 0 29 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 146 175RCHB105MK70AC10 0 15 14 49 0 0 0 0 0 0 58 116 0 117 0 0 0 0 167 362RCHB1091007 0 0 0 6 0 0 0 0 0 0 ##### ##### 0 0 0 8 0 0 0 14RCHB1092042 0 0 0 16 0 0 0 0 0 0 ##### ##### 2 0 0 0 0 0 167 185RCHB1141003 32 28 14 0 0 0 0 0 0 0 46 49 0 0 0 0 0 0 3 77RCHB1141005 0 0 0 6 0 0 0 0 0 0 61 64 0 0 12 0 0 0 4 22RCHB1141021 0 0 0 0 0 0 0 0 0 0 54 64 0 0 0 22 0 0 64 86RCHB1142052 0 0 0 9 0 0 0 0 0 0 60 62 0 0 0 0 0 0 59 68RCHB1142053 0 0 0 1 0 0 0 20 7 35 111 114 0 1 0 2 0 0 89 155RCHB1142054 0 0 0 11 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 59 70RCHB1142055 0 0 0 11 0 0 0 0 0 21 25 36 0 0 0 0 0 0 82 114RCHB203M010 0 0 0 3 0 0 0 0 0 0 ##### ##### 0 64 0 0 27 0 4 98RCHB203M014 0 0 0 11 0 0 0 61 45 32 ##### ##### 0 76 0 0 0 0 4 229RCHB203M015 8 9 3 6 0 0 0 0 2 16 ##### ##### 0 36 0 0 10 0 0 90RCHB203M018 0 0 0 0 0 0 0 0 0 0 ##### ##### 0 65 0 0 0 0 4 69RCHB203M038 2 1 0 0 0 0 0 0 20 4 2 2 0 62 0 0 0 0 0 89
54 70 71 785 0 0 0 302 201 278 ##### ##### 22 728 30 175 ##### 7 1611 4513
B 3 B o ile r 1 P e r fo r m a n c e : G a s U s a g e p e r B o ile r % L o a d in g
y = 1 3 5 7 . 6 xR 2 = 0 . 9 1 2 7
0 . 0
2 0 0 . 0
4 0 0 . 0
6 0 0 . 0
8 0 0 . 0
1 0 0 0 . 0
1 2 0 0 . 0
0 . 0 % 1 0 . 0 % 2 0 . 0 % 3 0 . 0 % 4 0 . 0 % 5 0 . 0 % 6 0 . 0 % 7 0 . 0 % 8 0 . 0 % 9 0 . 0 % 1 0 0 . 0 %
kWh
B3 Boiler 2 Performance : Gas Usage per Boiler %Loading
y = 1359.6xR2 = 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%
kWh
+ + =INSTRUMENTED We now have the ability to measure, sense and see the exact condition of
practically everything in near
real-time.
INTERCONNECTED People, buildings,
campuses, cities, etc. are now interacting in
entirely new ways.
INTELLIGENT All this
information can be used to make
optimal decisionsthat are based on historical trends
and predicted events.
SMARTERWe can gather, synthesize and
apply this information to
achieve financial, environmental
and operational benefits in buildings.
The Green Sigma™ Coalition
Helping define Smarter Building KPIs and standardsWorking together to deliver proven solutions for sustainability Collaborating on customer projects across many industries
IBM works with array of partners, and builds solutions with capability to integrate with them seamlessly.
Property Characteristics• 280,000 sq. feet• Opened in September, 1997
Scope• Metering• PLC – BMS integration• Advanced analytics• Fault detection &
diagnostics• Dashboard for energy,
carbon, maintenance, space, etc.
Armonk, NY Rochester, MN
First IBM implementations.
Expected 5+% energy cost reduction in already efficient buildings that have seen 7% reductions/ year for the last 10 years.
Achieved 8%
Operational cost reductions expected from condition-based maintenance and prioritization of preventive maintenance.
Property Characteristics• 3.3M sq ft multi-building mixed
use light industrial campus • Facilities date to the 1950s
Scope• BMS/metering integration• HVAC sensors/metering
point integration• Lighting management• Perimeter pre-heat• Chiller optimization• Advanced analytics/FDD.• Dashboard for energy, carbon,
maintenance, space, etc.
1:00
3:00
5:00
7:00
9:00
11:00
13:00
15:00
17:00
19:00
21:00
23:00
Unit Performance Operational Schedule1:0
03:0
05:0
07:0
09:0
011
:0013
:0015
:0017
:0019
:0021
:0023
:00
Unit Performance Operational Baseline
-35
-25
-15
-5
5
15
1:00
2:00
3:00
4:00
5:00
6:00
7:00
8:00
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00A
HU A
ir F
low
Tem
p. D
elta
Actual Normal Operation
Energy Consumption Exceeds Specification2.5% Savings
Equipment Not on Automatic Schedule 2% Savings
Steam LeakIdentified by Analytics
KW
H U
sage
KW
H U
sage
Dual Energy Savings OpportunityChilled Water and Steam3.5% Savings
Customer Projects
Tulane University – New Orleans (You Tube Video)– Post Hurricane Katrina Rebuild– School of Architecture, Living Laboratory– Integration of Building Systems– Listed/Protected Building
Cloister Museum – New York (Medieval Branch)– Sensitive Environment– Critical Nature Assets–Wireless Sensor Network– Environmental Prediction for Preservation Focus
Greenfield construction opened to students and faculty in 2007Convergence of 23 technology systems on one IP backbone
• Building management• Security and surveillance• IT systems• Fire/ and life safety• HVAC equipment• Audio/visual systems
IBM Maximo Asset Management integration with Metasys™ BMS for automated work- order generation and managementCisco high-speed networking
Saved $1.5M in infrastructure costsSaved $600K/year in energy costsSaved $350K/year in staffing costs
18 31-Jul-11AND THANK YOU!
© 2011 IBM Corporation
Pulse 2011 – Australia/New Zealand
© 2011 IBM Corporation
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The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer.Information concerning non-IBM products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute an endorsement of such products by IBM. Sources for non-IBM list pricesand performance numbers are taken from publicly available information, including vendor announcements and vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-IBM products. Questions on the capability of non-IBM products should be addressed to the supplier of those products.All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or delivery schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's current investment and development activities as a good faith effort to help with our customers' future planning.Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here.Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM representative or Business Partner for the most current pricing in your geography.Photographs shown may be engineering prototypes. Changes may be incorporated in production models.
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