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Intelligent and Integrated Buildings Conference Toronto, Ontario, Dec. 2-3, 2002 Operating an Intelligent Building CANMET Energy Technology Centre - Varennes Meli Stylianou Ressources naturelles Canada Natural Resources Canada C a n a d a Outline Building operation and Kyoto Intelligence ? How can intelligence help in operating buildings? Do we have everything we need to intelligently operate buildings? Is building operation such a big deal? Intelligent building operation Conclusions Ressources naturelles Canada Natural Resources Canada C a n a d a Building operation and Kyoto Commercial sector 430,000 commercial and institutional buildings and thousands more being built each year. 13% of secondary energy (1,015 PJ) 12.5% of GHG emissions (54 Mt eq. CO2) Ineffective Operation 15%-30% energy waste How can intelligent buildings improve operation? Ressources naturelles Canada Natural Resources Canada C a n a d a Intelligence ? “The ability to learn or understand or to deal with new or trying situations: REASON;” Webster’s dictionary Ressources naturelles Canada Natural Resources Canada C a n a d a How can intelligence help in building operation? Continuously optimize operations Modulate set points to respond to changing requirements Continuous commissioning Detect and diagnose faults Air handling units, chillers, boilers… Schedule maintenance Scheduled need it or not Analyze cost/benefit then schedule Ressources naturelles Canada Natural Resources Canada C a n a d a Do we have everything we need to intelligently operate buildings? Today’s systems: Have limited or no learning/reasoning capabilities Depend on operators – who more often than not lack the expertise and/or time to ensure optimal operation Are reactive – symptoms force action: complaints of indoor environment/ high energy costs/high maintenance costs Technology is available Buildings are already monitored as never before Computational capabilities of today’s systems can do much more than they are asked to Artificial intelligence techniques are no longer at the experimental stage and in fact are used in many industries Ressources naturelles Canada Natural Resources Canada C a n a d a Is building operation such a big deal…? Two identical buildings EESB ETB –Low-E windows; T-8 lighting system; energy efficient HVAC system; LED exit lights Complaints skyrocketed ETB – 32% more energy consumed Correction of problems: manual setting; simultaneous heating and cooling Result:comfort related complaints dropped; energy consumption reduced Ressources naturelles Canada Natural Resources Canada C a n a d a But how can this be true…? 13°C 14°C 18°C 24°C 11°C 13°C 15°C 15°C Space maintained at 23°C (Modified from:Diagnostics and Commissioning, Karl Stum, PECI) Ressources naturelles Canada Natural Resources Canada C a n a d a Can intelligence be used in today’s control systems? Diagnostic Agent for Building Operators (DABO) Existing Control System BEMS DDE/ODBC/OCX DDE/ODBC/OCX Database Fault Detection & Diagnostic Agent Commissioning Agent Condition-Based Maintenance Agent Ressources naturelles Canada Natural Resources Canada Diagnostic Agent for Building Operators Building Energy Agent Artificial Intelligence Tools C a n a d a Fault detection and diagnosis applications CETC-Varennes, Qc Delta Controls, Surrey, BC CFF, Laval, Qc Dorval Airport, Montreal, Qc Ressources naturelles Canada Natural Resources Canada C a n a d a VAV Box Report Screen Ressources naturelles Canada Natural Resources Canada C a n a d a …but does it work? Percentage of faults detect by month 50% 45% 40% 35% % 30% 25% 20% 15% 10% 5% 0% May 2001 June 2001 February 2002 March 2002 April 2002 May 2002 June 2002 July 2002 August 2002 September 2002 Month Works properly Fault 1 (Air flow set point is unstable) Fault 2 (Air flow set point is not attemp) Fault 3 (Air flow controler is unstable) Fault 4 (Temperature set point is not attemp) Ressources naturelles Canada Natural Resources Canada C a n a d a Intelligent building operation Sensing Interoperability Facilitate the development of tools linking the operation and maintenance requirements of building systems Computational capabilities Wireless sensing can reduce the life cycle cost of monitoring building systems Enable the optimisation and timely detection of faulty operation and limit impact on energy costs and occupant well being Artificial intelligence techniques Leverage the hardware capabilities of building control systems and provide the information necessary to optimise the operation of the building Ressources naturelles Canada Natural Resources Canada C a n a d a Conclusions Barrier: Building owner and operator awareness The market pull is not there …yet Data is available Hardware is available Intelligence is vital in operating buildings Reduce operating costs Improve indoor environmental conditions – proactively not reactively Improve occupant satisfaction and productivity Elimination of occupant complaints… not a dream… Ressources naturelles Canada Natural Resources Canada C a n a d a