Pervasive sensing as a mechanism for the effective control of CHP plant in commercial buildings

Joseph Andrew Clarke, Jon Hand, Jae Min Kim, Cassim Ladha, Karim Ladha, Patrick Olivier, Tony Roskilly, Mohammad Royapoor, Aizaz Samuel, Dawei Wu

Research output: Contribution to conferencePaperpeer-review

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A recently completed, EPSRC-funded project researched the use of low cost, pervasive sensing to monitor building environmental conditions and occupant interactions as a means to reduce the uncertainties associated with the creation of a building model for refurbishment options and smarter control appraisal.
This paper gives a brief introduction to the pervasive sensing system as established within the project and describes its use to enable simulations of the multi-input, multi-output (MIMO) control of a combined heat and power (CHP) unit in a commercial building context. Within the project, data from pervasive sensing was used to calibrate a simulation model of an office building and impose occupant-related inputs at the time step level as a means to reduce modelling uncertainty. The MIMO input parameters considered include space temperatures, heat store temperatures, electricity demand and electricity tariff, while the output parameters include space heat supply, heat stored, electricity utilised locally or exported, and CHP unit fuel use. The simulation model was used to compare performance when the CHP unit is subjected to conventional and MIMO control. It is demonstrated that the pervasive sensing approach enables control that delivers enhanced energy performance.
Original languageEnglish
Number of pages7
Publication statusPublished - Jun 2014
EventBuilding Simulation and Optimisation (BSO14) - University College London, London, United Kingdom
Duration: 23 Jun 201424 Jun 2014


ConferenceBuilding Simulation and Optimisation (BSO14)
Country/TerritoryUnited Kingdom


  • combined heat and power
  • CHP
  • pervasive sensing
  • MIMO control
  • multi-input, multi-output
  • building environmental conditions
  • smart energy control


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