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SUMMARY:Digital Twins to improve Maintenance and Operations of Buildings -
  Professor Mohsen A. Jafari\, Rutgers University
DTSTART:20200117T133000Z
DTEND:20200117T143000Z
UID:TALK137785@talks.cam.ac.uk
CONTACT:Sanyapong Petchrompo
DESCRIPTION:The methodology presented in this talk integrates building (fa
 cility) digital twin technology with asset condition data and business val
 ue to improve building energy efficiency and asset performance and reliabi
 lity. The methodology takes advantage of both dynamic data\, such as energ
 y metered data of individual assets\, asset condition and performance data
 \, occupancy\; and static data\, such as\, business objectives of the buil
 dings\, functional decomposition of the building and zoning\, etc. Assets 
 are (partially or fully) connected (with sensors and embedded devices) and
  their real time conditions are accessible at all times. Building digital 
 twin runs in parallel to the actual physical building and proactively part
 icipates in Operations and Maintenance (O&M). The digital twin is expected
  to reside at a layer above the typical Building Energy Management System 
 (BEMS) with planning time scaled in days or more\, and operational time sc
 aled in minutes\, hours or longer. The technology can provide solutions to
  building owners and operators to proactively diagnose faults and failures
 \, run what-if scenarios and benchmarking\, optimize building O&M\, and ca
 rry out planning and resource analysis. Within this framework a network or
  community of buildings can be modeled by connected and communicating digi
 tal twins in a hierarchical or distributed manner.
LOCATION:Lecture Theatre 1\, Institute for Manufacturing\, University of C
 ambridge
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