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Lookup NU author(s): Professor Tony Roskilly, Dr Mohammad Royapoor
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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 multiinput, 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
Author(s): Clarke J, Hand J, Kim JM, Ladha C, Ladha K, Olivier P, Roskilly T, Royapoor M, Samuel A, Wu D
Editor(s): Prof Dejan Mumovic
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Building Simulation and Optimisation 2014
Year of Conference: 2014
Print publication date: 23/06/2014
Online publication date: 24/02/2015
Acceptance date: 11/04/2014
Publisher: IBPSA
