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IBM Smarter Buildings February 2012
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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.
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The Environment for Property Management
• How do I achieve a better size/quality portfolio at lower cost?
• How do I maximise space utilisation?
• Does my portfolio meet future business requirements?
• Should I buy/lease this new space or not?
• Are operations costs minimised without compromising my business?
• Are my staff and assets safe and secure?
• How do I meet legal/corporate energy, waste and environmental goals?
• How do I facilitate efficient moves and changes?
• Are we getting good reliable, consistent facilities service?
• Is there data to keep control and competitively re-tender facilities services?
Businesses are under increasing pressure to reduce cost, improve service and demonstrate environmentally responsible practices.
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What is a Smarter Building?
Smarter Buildings…
Are more cost effective by reducing energy and operating costs.
Use active and designed-in techniques to achieve reliability, efficiency and environmental responsibility.
Provide Visibility, Control and Automation to building systems.
Maintain a safer and more secure workplace.
Communicate in real-time to supporting infrastructure (i.e. smart grid, broadband, etc.).
Smarter Buildings are well managed, integrated physical and digital infrastructures that provide optimal occupancy services in a reliable, cost effective, and sustainable manner.
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Exte
rnal In
teg
rati
on
An
aly
tics a
nd
O
ptim
izatio
n
IBM Intelligent Buildings solutions – the smarter building solution
WaterSmart Meters,
Use / Flow Sensing
EnergySmart Meter,
Demand Response ElevatorsMaintenance,Performance
HVACFans, Variable Air
Volume, Air Quality
LightingOccupancy
Sensing
Access/SecurityBadge In,
Cameras, IntegrationPerimeter, Doors,Floors, Occupancy
Space UtilizationOccupancy/
Management
24/7 MonitoringCondition Monitoring,Parking Lot Utilization
WeatherCurrent
Predictions
Emergency
ServicesAlerts, Actions
UtilitiesDemand Mgmt,
Cost ControlCommunit
yServices
Transportation,
Traffic, EventsCommerci
alPotential
Advertisement
Voice/Video/Data
Integrated Building & Communications Services
PortfolioRE Mgmt
Asset MgmtLifecycle
Energy UsePassive/Active
OccupancySpace Mgmt
ComplianceReal Estate Mgmt
Building Services
Maintenance/Projects
Tenant ServicesHelp Desk
Waste MgmtTrash/Water/Recycle
Industry Specific
Hospital, Hotel, Etc.
Integrated Building & Communications Services
Fire FunctionalityChecks,
Detector Service
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IBM Intelligent Building Management
Visualization
Intelligent
Interconnected
Instrumented
Physical
Roles-based dashboards
Real-time analytics
Comparison of historical data with newly collected data
Energy and Operations optimization. Alerts & Work order Automation
Real-time monitoringData aggregation from multiplebuildings and systems
Connectivity to BMSs & Meters
Vendor Building Management Systems
Data aggregation – single building
Sensors and SystemsField level devices
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Case Studies: IIBM’s value proposition
IBM Rochester, 3.3M sq ft multi-building mixed use light industrial campus. Facilities date to the 1950s. Consistently achieved year on year energy reductions of 5% to 7% over the last 10 years.
• Energy cost reduction on equipment monitored of between 10-15%
• Reactive maintenance decreased by 16%• Hours per work order reduced by 34%• Total number of work order hours decreased by 49%
Tulane University
Rochester, MN
In the wake of Hurricane Katrina’s destruction in 2005, Tulane University saw an opportunity and a responsibility to advance campus-wide sustainability and energy
efficiency. • Over 50% reduction in energy cost since the system was
installed
• Tulane can collect, manage and analyze data from buildings to gain intelligence and insight to energy and facilities management.
Client A
A global life sciences company recently completed a PoC, in their tightest controlled building environment. The findings were therefore based on the best case scenario within Client A’s buildings.
• Energy savings benefits from PoC are estimated to be c. €57,000 pa.
• Sufficient business case justification provided to move to the next stage and a new building.
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Analytics are a key component for managing buildings
4. Improvement
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 Period
Severity (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 From
Savings 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 To
Start Month 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8/30End Day 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
10 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 3 113
RCHB0201529 0 0 0 46 0 0 0 91 50 41 41 60 0 105 0 0 0 0 7 340
RCHB0303572A 0 3 2 7 0 0 0 0 0 2 16 19 0 0 0 4 0 0 46 64
RCHB0303574A 0 0 0 12 0 0 0 0 5 11 ##### ##### 0 0 0 4 3 0 66 101
RCHB0303575A 0 0 0 12 0 0 0 4 5 15 31 53 0 0 0 0 26 5 2 69
RCHB0401565 0 0 0 41 0 0 0 0 0 0 ##### ##### 0 0 13 0 0 0 8 62
RCHB0402505 0 0 0 38 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 8 46
RCHB0403509 0 0 2 38 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 8 48
RCHB0403552 0 0 0 0 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 8 8
RCHB0503550 0 0 0 15 0 0 0 2 2 0 65 69 0 0 0 20 0 0 27 66
RCHB1011003 0 0 0 25 0 0 0 0 0 0 87 118 0 0 0 0 0 1 4 30
RCHB1011004 0 0 0 22 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 1 4 27
RCHB1011013 0 0 0 10 0 0 0 0 15 5 ##### ##### 0 0 0 0 0 0 86 116
RCHB102MJ49AC2 0 3 13 9 0 0 0 0 0 0 55 113 0 25 0 0 0 0 106 156
RCHB102MK49AC1 0 0 0 25 0 0 0 0 0 0 ##### ##### 0 9 0 0 0 0 123 157
RCHB1032020 0 0 0 0 0 0 0 62 20 32 13 86 0 30 0 24 0 0 63 231
RCHB1032021 0 0 0 12 0 0 0 62 20 32 80 108 0 30 0 0 0 0 63 219
RCHB1051001A 0 0 0 29 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 146 175
RCHB105MK70AC10 0 15 14 49 0 0 0 0 0 0 58 116 0 117 0 0 0 0 167 362
RCHB1091007 0 0 0 6 0 0 0 0 0 0 ##### ##### 0 0 0 8 0 0 0 14
RCHB1092042 0 0 0 16 0 0 0 0 0 0 ##### ##### 2 0 0 0 0 0 167 185
RCHB1141003 32 28 14 0 0 0 0 0 0 0 46 49 0 0 0 0 0 0 3 77
RCHB1141005 0 0 0 6 0 0 0 0 0 0 61 64 0 0 12 0 0 0 4 22
RCHB1141021 0 0 0 0 0 0 0 0 0 0 54 64 0 0 0 22 0 0 64 86
RCHB1142052 0 0 0 9 0 0 0 0 0 0 60 62 0 0 0 0 0 0 59 68
RCHB1142053 0 0 0 1 0 0 0 20 7 35 111 114 0 1 0 2 0 0 89 155
RCHB1142054 0 0 0 11 0 0 0 0 0 0 ##### ##### 0 0 0 0 0 0 59 70
RCHB1142055 0 0 0 11 0 0 0 0 0 21 25 36 0 0 0 0 0 0 82 114
RCHB203M010 0 0 0 3 0 0 0 0 0 0 ##### ##### 0 64 0 0 27 0 4 98
RCHB203M014 0 0 0 11 0 0 0 61 45 32 ##### ##### 0 76 0 0 0 0 4 229
RCHB203M015 8 9 3 6 0 0 0 0 2 16 ##### ##### 0 36 0 0 10 0 0 90
RCHB203M018 0 0 0 0 0 0 0 0 0 0 ##### ##### 0 65 0 0 0 0 4 69
RCHB203M038 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
Daily Usage Summary
Sort Capability
Year To Year Usage
Daily Alert Summary
Alert DetailTrending
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Smarter building saving model
Baseline Energy Maint. Activity
New Information
Drives Savings & more Work Orders
Areas of Maintenance Savings• Root Cause Identification• Fewer Total Customer Calls• Reduced PM’s
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ALERT ACTION SAVINGS YR-1
Site 1: AHU simultaneous heating and cooling
•Created program to keep AHU’s from heating & cooling at the same time
$3k
Site 2: 1 Variable speed drive running fan at 90% capacity for more than 2 hours
• Replaced damaged duct work• Repositioned sensor
$10k
Site 3: 3 AHUs running outside scheduled hours
• Control panel software failure prevented AHUs from turning off at normally scheduled time
• Performed cold start on panel to clear problem
$18k
Site 4: Electrical current detected when AHU is supposed to be in off mode
• AHU had been manually set to run constantly• Rest to cycle on and off as dictated by the
central control system$19k
Rapid Savings: Small sample of results for the first month for Phase 1
IBM Internal Examples
Expected Savings: 10% - 15% Annual Saving For Equipment Covered By Analytics
Smart Building Results: Energy
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-100%
-50%
0%
50%
100%
150%
200%
Prior Yr QtrlyAve
4Q10 1Q11 2Q11 3Q11
# of Work Orders Work Order Hours
- 16%
Pre IIBM Post IIBM
Ave Hr/WO
- 34%
- 49%
Work Order # & Hours Average Hours Per WO
Demonstrated Maintenance efficiency
1) 16% Reduction in total number of reactive work orders generated
2) 34% Reduction in the average time spent per work order
3) 49% Reduction in total work hours
Smart Building Results: Maintenance
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Return on Investment – IBM
• Factors that will Influence Site Specific Results:
• Implementation Cost:– Level of Existing Instrumentation– Building Management System Sophistication– Work Order Logistics System– Skilled Staff Availability
• Benefits:– Maintenance Productivity– Equipment Efficiency Levels– Depth of Implementation– Type of Space (Office, Data Center, etc.) INSTRUMENTED
INTERCONNECTED
INTELLIGENT
First Step: - Select a Building - Assess Starting Point
One Year Payback
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Makuhari, JPEmb Golf Links, INEmb Manyata, INEhningen, GerMonpellier, FRHursley, UKLennox Wood, UKPortsmouth, UKSouth Bank, UKHortolandia, BRBromont, QUBurlington, VTColumbus, OHGaithersburg, MDMarkham, ONSterling Forest, NYAlmaden, CATucson, AZ
IBM: Phased Implementation Approach
Silicon Valley Lab, CA
Dublin, Ireland
Legacy Mfg Plant
Initial Green Sigma Rules Development
Software Development
Initial Test Location
Rochester, MN
3.2M SF Multi-Use Facility
6th Largest IBM Energy Consumer
Full Functionality Pilot
Global Corp-orate HQ
Smarter Building Showcase
Armonk, NY
Deploy At HighestEnergy Consuming Locations
2009 2010 2011 2012
Austin, TXBoulder, COFishkill, NYPoughkeepsie, NYRaleigh, NCSouthbury, CTYorktown, NY
Deploy at High Energy Consuming Locations & across all geographies
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Benefits
The IBM Smarter Building solutions — which combines IBM’s software, analytics
and services expertise together with industry-leading business partners — enable
clients to: Manage energy use, lower base-line costs and decrease emissions by monitoring and analyzing heat, air conditioning and power consumption
Maintain equipment proactively, identifying emerging problems and trends to prevent breakdowns and confirm that critical assets will work as needed
Lower maintenance and building management costs and extend asset life through condition-based maintenance, greater insight into asset conditions and automated notification when assets are performing outside of specifications
Reduce operating costs by managing facilities and infrastructure, covers breadth of O&M, pre-built performance metrics, embedded industry benchmarks, multi-dimensional analysis, single view of information
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Questions?
THANK YOU!