IBM Intelligent Building Management 2012

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IBM Intelligent Building Management 2012

  1. 1. IBM Smarter Buildings February 20121 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  2. 2. The need for progress is clear 2 3 30 percentReal estate is the second In most organizations the real Facilities investments andlargest expense on the estate portfolio is on the operating costs can beincome statement for most balance sheet as the third more than 30% ofcompanies. most valuable or expensive corporate annual spending. single asset.2025 42 percent 1 By 2025, buildings Worldwide, buildings Buildings are the number 1 worldwide will become consume 42% of all contributor to global CO2 the top energy consumers. electricity – up to 50% of emissions. which is wasted.2 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  3. 3. The Environment for Property Management Businesses are under increasing pressure to reduce cost, improve service and demonstrate environmentally responsible practices. • 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?3 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  4. 4. What is a Smarter Building?Smarter Buildings are well managed, integrated physical and digital infrastructures thatprovide optimal occupancy services in a reliable, cost effective, and sustainable manner. 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.).4 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  5. 5. IBM Intelligent Buildings solutions – the smarter building solution Fire Functionality Energy Checks, Smart Meter, Detector Service Portfolio Demand Response Elevators HVAC RE Mgmt Maintenance, Fans, Variable Air Performance Volume, Air Quality Weather Asset Mgmt Current Water Lifecycle Smart Meters, Predictions Use / Flow Sensing Energy Use Passive/Active Emergency Services Analytics and Optimization Building Services Alerts, Actions External Integration Maintenance/Projects Lighting Occupancy Occupancy Utilities Space Mgmt Sensing Demand Mgmt, Cost Control Tenant Services Access/Security Help Desk Badge In, Community Cameras, Integration Perimeter, Doors, Services Waste Mgmt Floors, Occupancy Transportation, Trash/Water/Recycle Traffic, Events 24/7 Monitoring Space Utilization Condition Monitoring, Occupancy/ Compliance Parking Lot Utilization Management Commercial Real Estate Mgmt Potential Advertisement Industry Specific Hospital, Hotel, Etc. Voice/Video/Data Integrated Building &&Communications Services Integrated Building Communications Services5 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  6. 6. IBM Intelligent Building Management Roles-based dashboards Visualization Real-time analytics Comparison of historical data with newly Intelligent collected data Energy and Operations optimization. Alerts & Work order Automation Real-time monitoring Interconnected Data aggregation from multiple buildings and systems Connectivity to BMSs & Meters Vendor Building Management Systems Instrumented Data aggregation – single building Physical Sensors and Systems Field level devices6 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  7. 7. 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% 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. Tulane University 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 Client A 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.7 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  8. 8. Analytics are a key component for managing buildings 1. Sensing-Monitoring Rule 2a 2b 3a 3b 4c 4d 4e 6a 7a 7b 8a 8b 8c 8d 10a 18 19 21e 21f Daily Usage Summary Time Period Enterprise Severity (5=Highest) Savings Factor (months) Daily Alert Summary Savings Value (H-igh,M-edium) 5 H 6 5 H 6 3 H 6 3 H 6 3 6 3 6 5 6 5 H 12 5 H 12 5 H 12 M 3 12 4 M 12 3 4 M 3 12 3 M 12 3 M 12 5 5 Rolling 7 days From 8/24 Reporting Agnostic software solution Start Day 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 To Feed Can push data from any BMS Start Month End Day End Month 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 8 30 8 2. Data Store 8 30 8 8 30 8 8 30 8 8 30 8 8/30 10 to 25 25 to 50 25 to 50 50 to 100 No requirement for a 2a 2b 3a 3b 4c 4dbridge 7b >50 Color hardware 4e 6a 7a 8a 8b 8c 8d 10a 18 19 21e 21f >100 Coding: Alerts by Color Coding: Rule Asset Alerts by Asset RCHB0201527 0 0 0 11 0 0 0 0 10 30 15 28 0 53 0 0 6 0 3 113 5. Sustainability & Reporting RCHB0201529 RCHB0303572A 0 0 0 3 0 2 46 7 0 0 0 0 0 0 91 0 50 0 41 2 41 16 60 19 0 0 105 0 0 0 0 4 0 0 0 0 7 46 340 64 RCHB0303574A 0 0 0 12 0 0 0 0 5 11 ##### ##### 0 0 0 4 3 0 66 101 RCHB0303575A RCHB0401565 0 0 0 0 0 0 12 41 0 0 0 0 0 0 4 0 5 0 15 0 31 53 ##### ##### 0 0 Sort Capability 0 0 0 13 0 0 26 0 5 0 2 8 69 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 Meta-data model 0 8 48 • Contextualization 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 • Interrelationships 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 Year To Year Usage RCHB1032020 RCHB1032021 RCHB1051001A 0 0 0 0 0 0 0 0 0 0 12 29 0 0 0 0 0 0 0 0 0 62 62 0 20 20 0 32 32 0 13 80 86 108 ##### ##### 0 0 0 30 30 0 0 0 0 24 0 0 0 0 0 0 0 0 63 63 146 231 219 175 RCHB105MK70AC10 0 15 14 49 0 0 0 0 0 0 58 116 0 117 0 0 0 0 167 362 RCHB1091007 RCHB1092042 0 0 0 0 0 0 6 16 0 0 0 0 0 0 0 0 0 0 0 0 ##### ##### ##### ##### 0 2 0 0 0 0 8 0 0 03. Analytics 0 0 0 167 14 185 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 Identified 0 0 0 Statistics/Models 0 0 0 0 0 0 0 54 64 0 0 0 22 0 0 64 86 Alert Detail 4. Improvement RCHB1142052 RCHB1142053 RCHB1142054 Improvement 0 0 0 0 0 0 0 for Improvement 0 0 9 1 11 0 0 0 0 0 0 0 0 0 0 20 0 0 7 0 0 35 0 60 111 62 114 ##### ##### 0 0 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 59 89 59 68 155 70 RCHB1142055 RCHB203M010 actions/projectsTrending0 0 0 0 0 0 11 3 0 0 0 0 0 0 0 0 0 0 21 0 25 36 ##### ##### 0 0 0 64 0 0 0 0 0 27 0 0 82 4 114 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 71785 0 0 Work 201 278 ##### ##### 0 302 22 728 30 175 ##### 7 1611 4513 Orders, Excel, Browser, Planning8 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  9. 9. Smarter building saving model Areas of Maintenance Savings • Root Cause Identification New Information • Fewer Total Customer Calls Drives Savings & • Reduced PM’s more Work Orders n 1 2 3 4 5 6 7 8 9 tio d d d d d d d d d nt a rio rio rio rio rio rio rio rio rio e Pe Pe Pe Pe Pe Pe Pe Pe Pe e m pl Im Baseline Energy Maint. Activity9 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  10. 10. Smart Building Results: Energy Rapid Savings: Small sample of results for the first month for Phase 1 IBM Internal Examples ALERT ACTION SAVINGS YR-1 Site 1: AHU simultaneous •Created program to keep AHU’s from heating & $3k heating and cooling cooling at the same time Site 2: 1 Variable speed drive running fan at 90% • Replaced damaged duct work $10k capacity for more than 2 • Repositioned sensor hours • Control panel software failure prevented AHUs Site 3: 3 AHUs running from turning off at normally scheduled time $18k outside scheduled hours • Performed cold start on panel to clear problem Site 4: Electrical current • AHU had been manually set to run constantly detected when AHU is • Rest to cycle on and off as dictated by the central $19k supposed to be in off mode control system Expected Savings: 10% - 15% Annual Saving For Equipment Covered By Analytics10 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  11. 11. Smart Building Results: Maintenance Work Order # & Hours Average Hours Per WO 200% 150% - 34% 100% - 16% 50% Ave Hr/WO 0% Prior Yr Qtrly 4Q10 1Q11 2Q11 3Q11 Ave -50% -100% Pre IIBM Post IIBM - 49% # of Work Orders Work Order Hours 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 hours11 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  12. 12. Return on Investment – IBM First Step: - Select a Building One Year Payback - Assess Starting Point • Factors that will Influence Site Specific Results: • Implementation Cost: INTELLIGENT – Level of Existing Instrumentation – Building Management System Sophistication – Work Order Logistics System – Skilled Staff Availability INTERCONNECTED • Benefits: – Maintenance Productivity – Equipment Efficiency Levels – Depth of Implementation INSTRUMENTED – Type of Space (Office, Data Center, etc.)12 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  13. 13. IBM: Phased Implementation Approach Makuhari, JP Austin, TX Emb Golf Links, IN Rochester, Emb Manyata, IN MN Boulder, CO Ehningen, Ger 3.2M SF Multi-Use Fishkill, NY Monpellier, FR Facility Poughkeepsie, NY Hursley, UK 6th Largest IBM Raleigh, NC Lennox Wood, UK Dublin, Silicon Valley Energy Consumer Southbury, CT Portsmouth, UK Ireland Lab, CA South Bank, UK Full Functionality Yorktown, NY Hortolandia, BR Pilot Legacy Mfg Plant Software Deploy At Highest Bromont, QU Development Energy Consuming Burlington, VT Initial Green Locations Columbus, OH Sigma Rules Initial Test Gaithersburg, MD Development Location Markham, ON Sterling Forest, NY Almaden, CA Armonk, NY Tucson, AZ Global Corp- orate HQ Deploy at High Energy Consuming Locations & Smarter across all geographies Building Showcase 2009 2010 2011 201213 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  14. 14. 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 information14 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation
  15. 15. Questions? THANK YOU!15 © 2010 TRIRIGA INC. | TRIRIGA PROPRIETARY AND CONFIDENTIAL © 2012 IBM Corporation

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