Your SlideShare is downloading. ×
PCTY 2012, IBM Smarter Buildings v. Claire Penny
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

PCTY 2012, IBM Smarter Buildings v. Claire Penny

6,337
views

Published on

Præsentation fra PCTY 2012 v. Claire Penny

Præsentation fra PCTY 2012 v. Claire Penny

Published in: Technology, Business

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
6,337
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
21
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • The CFO: Oversees the finances of the entire company monitoring cash flow financial planning Real estate is the 2 nd highest cost to company. Corporate Real Estate: Operates property like a business. Responsibilities: Leasing &/or purchasing real estate Maintenance Accounting and reporting Repair Provision of utilities Space planning The Sustainability Manager Responsible for setting the company sustainability strategy Monitoring energy Environmental/energy audits Conducts energy and sustainability analyses Identify opportunities to increase building efficiencies, Understand financial impacts of environment on an organization’s operation.
  • These are the pain points found in many real estate/property function in corporates There is a significant opportunity to respond to CFO pressure to “sweat the assets” by changing the business process and systems in the function Note the issue of loss of control is a key issue for corporates who have outsourced or are planning to outsource
  • The building you don’t need and don’t have is a 100% saving
  • The building you don’t need and don’t have is a 100% saving
  • Delivering on: Cost Data Reliability Action Globalization Compliance
  • Let’s start with Energy Management here on Chart 10. As we said before, increased demand to support business growth, rising energy costs and environmental concerns are fueling the need for an energy efficient infrastructure. The thermal behavior of a building depends on its location and design , its construction , and finally the way it is operated . Once built, you cannot do much about the location and design. The construction material varies, and for existing buildings, there could be opportunities to enhance the roof, the insulation, the window panes, in other words, the building envelope. And those enhancements are important, and they have varying degrees of effectiveness and payback. However, even for the best constructed buildings, in order to achieve good thermal behavior, it is important to manage them properly and on a continuous basis. Here is why. First, Heating, Ventilation and Air conditioning (HVAC) systems deteriorate over time and become more prone to failure and less efficient. Second, a building has typically a schedule for lighting and climatization; but the occupants and working crews could take the lighting and equipment off schedule for very valid reasons, and then forget to put them back on schedule and unknowingly disturb the optimal setting. That’s why the ability to monitor energy systems and measure thermal metrics on a real-time basis and tying them to asset management is key to ensuring optimal energy performance in a building. If you want to: Monitor energy systems and the climate inside the building, in real time, and be alerted when something is not operating optimally You need a solution that: Continuously collect measurements, correlates and analyzes the data to detect energy optimization opportunities and to predict potential failures. You need a solution that gives them the diagnosis for the problem and not just the alert . And the IBM solution that addresses those requirements is IBM Intelligent Building Management which was announced on June 9 th of this year. This solution is now being implemented in IBM’s top energy consuming buildings after a pilot in Rochester showed an 8 % improvement in energy usage. This solution provides a good return on investment when the total space monitored is at least one million square feet, which is equivalent to about 100 square meters. If you want to: Identify the best building enhancement or energy conservation projects and track results of those investments. IBM TRIRIGA Real Estate Environmental Sustainability Manager is the right solution for you. Actually IBM TRIRIGA Real Estate Environmental Sustainability Manager is also an energy and sustainability tool that maintains utility bills, energy consumption data, and enables historical comparisons and benchmarking between buildings. Lastly, IBM Maximo Data Center Infrastructure Management enables moves, adds and changes within data centers.
  • Let’s move on and look at how buildings operate today. In the middle of this chart, you will see the essential day-to-day service such as lighting, heating, ventilation, air conditioning, water, elevators and security. We are all used to those services and we almost do not notice them unless they break! But those are not the only processes occurring in buildings. Look to the left, and there is another set of services: Occupancy services; lifecycle management of the equipment; regulatory compliance; portfolio management for the organizations that own multiple buildings; tenant services and bill payments. Most of the building systems on the left operate independently, through a mix of vendors, and have different protocols and transport mechanisms. These different systems have also been advancing and maturing at different rates. If you add to this, the impact and influence of external factors shown on the right side of the chart, like weather patterns, emergency operations, variable utility rates, then you can begin to see just how complex managing a building could be.
  • © 2007 TRIRIGA INC.
  • You may ask what IBM brings to the management of facilities and real estate. What we bring is the ability to help organizations optimize their portfolio of real estate and facilities through a continuous improvement process. It starts with the ability to collect data from a variety of sources including energy and space usage data, lease expiration data, real time equipment performance data, etc. IBM has a history of experience with data integration and management of very large data sets. The ability to make sense of this data and provide new insights into the management of the portfolio as well as individual improvements to buildings is critical to reducing costs enabling buildings to operate in a more sustainable fashion. IBM Software and services can also help to manage the process of effecting changes whether they be building retrofit projects or equipment maintenance. The ability to capture savings, optimizing return on investment and report on sustainability compliance are all an important part of closing the loop for continuous improvement.
  • IBM Confidential 21-Apr-2011 IBM Confidential © 2007 TRIRIGA INC.
  • Integration BMS: Supports in-building solutions. Does not provide capability to integrate between many buildings. Utilises asset data to control and deliver set requirements within a building. IIBM: Integrates with multiple heterogeneous BMS system, sensors and devices (meters etc) and brings the data to an enterprise level. Easily integrates to many BMS’s and supports BMS’s from multiple vendors. Analyses/compares data from different buildings within the enterprise in order to leverage and propagate best practices Rules programming BMS: Analytics/rules have to be uniquely coded for each BMS instance IIBM: BMS programming not required, can add infinite number of rules due to normalized data. New rules are easy to implement. New rules can be formulated in terms of "business language" rather than a "programming language". Analytics/Rules BMS: The analytics/rules are only deployable across each BMS instance. Finite number of rules can be deployed. Data analysis is not performed over time. IIBM: Deployed rules are reusable across multiple buildings and BMS instances. Infinite number of rules can be deployed. Additional SPSS Modeller capabilities to analyze building information and identify new patterns and anomalies. Data analysis of multiple normalised data points in near real time and alerts based on specific rule sets. Rules are based on multiple incidents (from various sources) measured and assessed against each other. Leverages other data sources (space, weather, electric, etc) when performing analysis on BMS data. Uncovers problems that BMS simply compensate for e.g. If the problem is a heating valve stuck open, a BMS may pump more chilled water to compensate, how ever IIBM will be alerted to the stuck heating valve and will create a service request to repair – saving energy Event Management BMS: Manages events within the BMS IIBM: Ability to filter, correlate, de-duplicate alerts from many disparate sources. Ability to manage events from multiple sources, e.g BMS + Maximo, where duplicate events recorded in the BMS and by users in Maximo can be co-related. Performance BMS: Limitation on the number of analytics/rules owing to memory and performance issues IIBM: Rules/Analytics do not adversely affect critical real time BMS performance or memory. Maintenance Services BMS: Reactive alarms generated. IIBM: Delivers root cause identification of maintenance problems. Fewer total customer calls as issues identified before performance is affected. PM’s are reduced as IIBM can be relied upon to identify maintenance problems as they arise. Offers an integrated service mgmt (service request ) offering to the customers with SLA monitoring and reporting. Work order generation BMS: Currently no functionality. Competing asset/svc mgmt products (eg SAP) not as fully integrated. IIBM: Work orders and/or service requests automatically generated. Data BMS: Can’t (easily or flexibly) aggregate individual BMS’s into an enterprise view. IIBM: Dashboards presenting enterprise views that can drill down to individual department views clearly flagging areas of high energy use. Integration with multiple systems with BMS’s allows companies to focus on understanding what data means. Security BMS: Secure access to single BMS instances. No access to multiple systems. IIBM: Secure and single sign-on access to IBM Intelligent Building Management and legacy systems from dashboard. Single sign on/one click access to work orders from IIBM dashboard. Existing Clients BMS: Can only provide enhancements to existing BMS systems. IIBM: Works with existing customer’s building management systems Operational support BMS: Deep engineering skills required for new enhancements IIBM: Knowledge worker required for enhancements
  • Transcript

    • 1. Smart BuildingsA smarter way to manage real estate andfacilitiesOptimizing the World’s Infrastructure22nd May 2012, CopenhagenClaire Penny© 2012 IBM Corporation © 2011 IBM Corporation
    • 2. Agenda Smarter buildings overview • Drivers • Who should care? • Real estate management challenges • What are smarter buildings? • Smart building evolutionary roadmap What IBM offers • Smart Building portfolio IIBM – Energy and maintenance optmisation • How it works • Example • Dashboard views Smarter buildings benefits Why IBM? Summary Next steps: call to action
    • 3. Agenda Smarter buildings overview • Drivers • Who should care? • Real estate management challenges • What are smarter buildings? • Smart building evolutionary roadmap What IBM offers • Smart Building portfolio IIBM – Energy and maintenance optmisation • How it works • Example • Dashboard views Smarter buildings benefits Why IBM? Summary Next steps: call to action
    • 4. It’s time for changeIt is clear that there is an immediate requirement to significantly and urgentlychange the way buildings are managed. Businesses need to “…prepare for this century, not the last. Turning the oldest building stock in Europe into the most improved, with a nationwide commitment to energy efficiency”. UK Secretary of State for Energy & Climate Change, 2011 Annual Energy Statement 1 “Efficiency means less costly waste” President Obama at the “Better Buildings Initiative” launch which aims to make US commercial buildings 20% more efficient. The purported impact of the initiative is a reduction US companies’ energy bills by about $40 billion 2 1 http://www.decc.gov.uk/en/content/cms/news/aes_2011/aes_2011.aspx 2 http://www.good.is/post/better-buildings-initiative-and-innovation-cluster-announced-by-president-obama/
    • 5. Smarter Buildings – who should care? Companies with: • Over 1 million sq. ft. of real estate • Energy reduction targets • CO2 reduction targets • OpEx reduction targets
    • 6. Challenges  Properties operating as silos  Difficult to identify true full cost of systems and data of operating a property  Too many business processes  Disparate building management require manual intervention systems  Difficult to determine the value  Rich data is often unexploited in of FM services pursuit of business efficiency  Loss of corporate knowledge  Disparate facilities providers in to 3rd parties soft and hard services Real estate & facilities functions NOW have an opportunity to drive strategic business value
    • 7. What are smarter buildings?Smarter Buildings are well managed, integrated physical and digital infrastructures thatprovide optimal occupancy services in a reliable, cost effective, and sustainable manner.
    • 8. Evolution of a smarter buildingValue Gain greater control Build more effectiveness Achieve a smarter over your facilities data, into your operations across buildings strategy to systems, people and the lifecycle of facilities generate higher returns processes. assets. on facilities assets.  Increased productivity  Improved decision-making  Automated real-time response  Improved compliance  Mitigated risk  Predictive analytics  Historical analysis  Real-time analytics  Institutionalized controls  Reduced cost  Increased return on  Increased return on assets investments Maturity
    • 9. Agenda Smarter buildings overview • Drivers • Who should care? • Real estate management challenges • What are smarter buildings? • Smart building evolutionary roadmap What IBM offers • Smart Building portfolio IIBM – Energy and maintenance optmisation • How it works • Example • Dashboard views Smarter buildings benefits Why IBM? Summary Next steps: call to action
    • 10. IBM solutions for smarter buildings ENERGY SPACE OPERATIONS OPERATIONS R.E. INVESTMENT PLANNING
    • 11. Energy Real time monitoring of building and data center equipment; reduces energy consumption and waste over the lifecycle of the building and increases facility performance in a sustainable manner. IBM Intelligent Building Management Continuously collect measurements, correlate and analyzes data to detect energy optimization opportunities and to predict potential failures.
    • 12. Agenda Smarter buildings overview • Drivers • Who should care? • Real estate management challenges • What are smarter buildings? • Smart building evolutionary roadmap What IBM offers • Smart Building portfolio IIBM – Energy and maintenance optmisation • How it works • Example • Dashboard views Smarter buildings benefits Why IBM? Summary Next steps: call to action
    • 13. Managing the data 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 Management Real Estate Mgmt Parking Lot Utilization Commercial Potential Advertisement Industry Specific Hospital, Hotel, Etc.
    • 14. Managing Buildings Smarter: Solution overviewAdvanced operational & energy analytics which: • Uncover previously hidden systemic operational and energy use malfunctions and inefficiency (waste) • Drive down operational costs and energy use • Continuously monitor and improve performanceProvided through near real-time data collection, event enrichment andautomatic work order/ service request generation.Takes existing large amounts of data: • Transforming it into intelligent & interconnected actionable informationEnabling end users to: • Ensure reliability • Reduced maintenance costs • Reduced energy costs
    • 15. Energy and maintenance management Data Sources Enterprise View Meter Real Time Collection Processes Enterprise Energy Metrics Energy Analysis view Energy Building management management Databases Systems Systems IBM Intelligent Buildings Real time energy tracking Performance base Buildings monitoring Energy & Operational analytics Maintenance management Automated Work Route cause analysis Orders Energy systems integration
    • 16. Smarter buildings require continuous improvement Instrumentation Complex, inter-related data sets provide new insights Enables collection of large data sets Reports Deliver and maintain best Transform practice, current efficiency and practices cost reduction 16
    • 17. Performance Management - Using the dataBusiness rules alert when equipment is operating sub-optimally AHU Cooling Valve Passing - AHU Simultaneous Leakage Heating & Cooling Detection AHU Heating AHU in Override mode control issue for 2 or more (Valve) consecutive hours AHU Economiser AHU Cooling Control Mode Alert - Not in Alert - High Building Free Cooling Mode Zone Temp
    • 18. Example of compressor performance monitoringPerform performance based maintenance instead of timed maintenance Level 1: Monitoring Enable telematics, collect data , set thresholds, generate alerts and create work orders Level 2: Proactive Analytics Run analytics on telematics data to identify anomalies such as compressed air leeks – feed directly to work orders Tune devices for energy management Level 3: Predictive Analytics Run analytics on telematics and compare to statistical data and make predictions about potential failures. Run analytics on warranty and service data. Predict maintenance based on unit usage and conditions. Level 4: Diagnostic Tool
    • 19. Typical compressor data points MotorOil Discharge Air Cooling WaterTemperatureLow Oil Cooler Stage-3 Temperature Inlet Stage-2 Scan Time Alarm/Trip Trip (Alarm) Alarm Package Temperature Vibration Pressure(Alarm) Temperature High Discharge Differential Pressure LubeStage-3 Air Flow Temperature System pressureTemperature Sec ParameterStage-1 Airpressure Cooler Reporting SMS FilterStage-1 CurrentTrip stage-3 stage-2 Water AirDaily Stage-2 Yes Flow Discharge 5min Inlet 30 Daily Immediate Yes after Immediate Yes 5min Trip
    • 20. IIBM Dashboard Views IBM Internal dashboard EuroGreenIT Energy Contractor
    • 21. Agenda Smarter buildings overview • Drivers • Who should care? • Real estate management challenges • What are smarter buildings? • Smart building evolutionary roadmap What IBM offers • Smart Building portfolio IIBM – Energy and maintenance optmisation • How it works • Example • Dashboard views Smarter buildings benefits Why IBM? Summary Next steps: call to action
    • 22. Case Studies: Solution 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. • Reactive maintenance decreased by 16% • Hours per work order reduced by 34% • Total number of work order hours decreased by 49% • Energy cost reduction on equipment monitored of between Rochester, MN 10-15% 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. • Significant reduction in energy cost since the system was installed • Tulane can collect, manage and analyse data from buildings to gain intelligence and insight to energy and facilities Tulane University management. A global life sciences company recently completed a PoC, in their tightest controlled building environment. The findings were therefore Global life sciences based on the best case scenario within Client A’s buildings. company • Energy savings benefits from PoC are estimated to be c. EUR 57,000 pa. • Equates to a decrease in energy costs of up to 14% for some assets. .
    • 23. Project EuroGreenIT – Public Sector Buildings(Belgium) Euro Green IT partnered with IBM and Dapseco (energy optimisation consultants) to deliver an IBM Intelligent Building Management proof of concept to five public sector buildings (schools) with little to zero instrumentation. 5 buildings in the pilot project (3 schools / 30000 m², 2 administrations / 9000 m²) Savings example Heating too early
    • 24. Client Project Tulane University/New Orleans(USA) Goal to solve building shortcomings with the most effective and energy efficient approach. • 100 year old Richardson Memorial Hall • Connect existing systems to collect metered data • Use advanced analytics to gain insight in building condition • Bring together disparate data to drive better decision making • collection and analysis of heating, air conditioning, electric usage, and water consumption Results: Energy Savings Pre- IIBM Post-IIBM
    • 25. Client Project Energy Performance Contracting(UK) Monitoring and analysis for performance contract - Monitoring SLA performance - Monitoring Asset Performance - Monitoring energy production/CO2 - Data trending
    • 26. IIBM Results: Maintenance savings AHU Work Order Numbers & Hours Average Hours Per WO200%150% - 34%100% - 16% 50% Ave Hr/WO 0% Prior Yr Qtrly 4Q10 1Q11 2Q11 3Q11 Ave-50% - 49%-100% # of Work Orders Work Order Hours Pre IIBM Post IIBM Observed reduction in WO numbers and WO hours for reactive maintenance 1680 1800 1412 1600 34% = 480 1400 16% = 67 932 0.5 headcount - £32.5k 1200 4hr per WO 1000 4hr per WO 800 420 600 353 ASSUMPTIONS: 400 • Available service 1,736 hrs 200 • £65K per headcount 0 # of WO Old Hrs # of New WO # of New WO New Hrs w Old Hrs
    • 27. AHU preventative maintenance work orderhistory & productivity - Example Predicted Preventative Maintenance WO hours for AHU 600 500 400 300 1.7 hrs per WO 560 50% = 280 0.2 headcount - £13k 200 320 280 100 PM 0 # of WO Old Hrs New Hrs ASSUMPTIONS: • Work Order quantity remains constant PM • Available service 1,736 hrs •£65K per headcount (Hypothetical Data) Client specific data & savings estimates required
    • 28. Areas of Future Opportunity All Other Classes Shop Equip Plumbing Fans CRAC Fire Prot. Alarm Future Savings Opportunities Manual Door driven by: • New Rules & Kitc hen • Wireless Sensors Elec tric LV Pump Determine Number of Comp. Air Hours Covered by solution ChillerCondensate Rec . Rest Room Arc hitec tual Lighting AHU W O Hours Analytic Opportunity Expanded Smart Building Analytic Opportunity / 30% of Total Work Order Hours
    • 29. IIBM Results: Operational Energy Savings Rapid Savings: Small sample of results for the first month for Phase 1 IBM Internal Examples SAVINGS ALERT ACTION YR-1 AHU simultaneous heating  Created program to keep AHU’s from heating & $3k and cooling cooling at the same time Variable speed drive  Replaced damaged duct work running fan at 90% capacity $10k  Repositioned sensor for more than 2 hours  Control panel software failure prevented AHUs from 3 AHUs running outside turning off at normally scheduled time $18k scheduled hours  Performed cold start on panel to clear problem Electrical current detected  AHU had been manually set to run constantly when AHU is supposed to  Reset to cycle on and off as dictated by the central $19k be in off mode control system Expected Savings: 10% - 15% Annual Saving For Equipment Covered By Analytics
    • 30. IIBM Typical Energy Savings Results Equipment Not on Automatic Schedule Energy Consumption Exceeds Spec 2% Savings 2.5% SavingsKWH Usage Usage KWH :00 :00 :00 :00 :00 :00 :00 :00 :00 :00 :00 :00010305071719212309111315 :00 :00 :00 :00 :00 :00 :00 :00 :00 :00 :00 :00 05 15 21 01 03 07 09 11 13 17 19 23 Unit Performance Operational Baseline Unit Performance Operational Schedule Dual Energy Savings Opportunity Steam Leak Chilled Water & Steam 3.5% AHU Air Flow Temp. Delta Identified 15 Savings 5 -5 -15 -25 -35 0 0 0 0 0 00 0 00 0 0 0 0 00 0 0 0 00 0 0 0 0 0 0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 :0 : : : : 02 03 07 11 12 13 16 17 21 22 01 04 05 06 08 09 10 14 15 18 19 20 23 Actual Normal Operation
    • 31. Value add to your existing building managementsystem(s) Integration Work order generation Rules programming Data Analytics/Rules Security Event Management Existing Clients Performance Operational support Maintenance Services
    • 32. Agenda Smarter buildings overview • Drivers • Who should care? • Real estate management challenges • What are smarter buildings? • Smart building evolutionary roadmap What IBM offers • Smart Building portfolio IIBM – Energy and maintenance optmisation • How it works • Example • Dashboard views Smarter buildings benefits Why IBM? Summary Next steps: call to action
    • 33. Why IBM for smarter buildings?
    • 34. Why IBM for smarter buildings: one year paybackFactors 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.)
    • 35. Managing Buildings Smarter: Summary Individual Building Performance Deliver better building performance for all stakeholders  Increased reliability  Automatic work order generation based on multiple point near real-time data collection  Legislative compliance  Identify, track and sustain energy reduction  Reduced maintenance costs  Reduce the number of work orders and work order hours  Continuous performance based monitoring  Ensuring that equipment is always performing optimally  Effective asset management  On-going work order history for each asset  Defer capital projects  Efficacy of each asset clearly understood  Reduced energy use & costs  Energy reduction opportunities through performance based monitoring
    • 36. Agenda Smarter buildings overview • Drivers • Who should care? • Real estate management challenges • What are smarter buildings? • Smart building evolutionary roadmap What IBM offers • Smart Building portfolio IIBM – Energy and maintenance optmisation • How it works • Example • Dashboard views Smarter buildings benefits Why IBM? Summary Next steps: call to action
    • 37. Next stepsReady to embrace change, strategically manage and optimize your real estate portfolio?Do you want to drive down your real estate portfolio costs?Do you want to know which are most efficient and highly utilized buildings?Do you want to know when your buildings are underperforming?If so, our next steps are:1) Decide on a focus area, could be number of buildings or IBM capabilities2) Deploy the solution – reap the rewards37
    • 38. Thank You and Q&ASmarter Buildings: a smarter way to manage realestate and facilities © 2011 IBM Corporation