Pervasive sensing as a mechanicsm for the effective control of CHP plant in commerical buildings

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

Research output: Contribution to conferencePaper

Abstract

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.

Conference

ConferenceBuilding Simulation and Optimisation (BSO14)
CountryUnited Kingdom
CityLondon
Period23/06/1424/06/14

Fingerprint

Cogeneration plants
Power Plant
Sensing
Heat
Electricity
Output
Unit
Simulation Model
Uncertainty Modeling
Office buildings
Parameter Space
Buildings
Hot Temperature
Monitor
Uncertainty
Temperature
Energy
Interaction
Costs
Simulation

Keywords

  • pervasive sensing
  • chp systems
  • commerical buildings
  • MIMO control
  • energy performance assessment

Cite this

Clarke, J., Hand, J., Kim, J. M., Ladha, C., Olivier, P., Roskilly, T., ... Wu, D. (2014). Pervasive sensing as a mechanicsm for the effective control of CHP plant in commerical buildings. 019. Paper presented at Building Simulation and Optimisation (BSO14), London, United Kingdom.
Clarke, Joseph ; Hand, Jon ; Kim, Jae Min ; Ladha, Cassim ; Olivier, Patrick ; Roskilly, Tony ; Royapoor, Mohammad ; Samuel, Aizaz ; Wu, Dawei. / Pervasive sensing as a mechanicsm for the effective control of CHP plant in commerical buildings. Paper presented at Building Simulation and Optimisation (BSO14), London, United Kingdom.7 p.
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Clarke, J, Hand, J, Kim, JM, Ladha, C, Olivier, P, Roskilly, T, Royapoor, M, Samuel, A & Wu, D 2014, 'Pervasive sensing as a mechanicsm for the effective control of CHP plant in commerical buildings' Paper presented at Building Simulation and Optimisation (BSO14), London, United Kingdom, 23/06/14 - 24/06/14, pp. 019.

Pervasive sensing as a mechanicsm for the effective control of CHP plant in commerical buildings. / Clarke, Joseph; Hand, Jon; Kim, Jae Min; Ladha, Cassim; Olivier, Patrick; Roskilly, Tony; Royapoor, Mohammad; Samuel, Aizaz; Wu, Dawei.

2014. 019 Paper presented at Building Simulation and Optimisation (BSO14), London, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Pervasive sensing as a mechanicsm for the effective control of CHP plant in commerical buildings

AU - Clarke, Joseph

AU - Hand, Jon

AU - Kim, Jae Min

AU - Ladha, Cassim

AU - Olivier, Patrick

AU - Roskilly, Tony

AU - Royapoor, Mohammad

AU - Samuel, Aizaz

AU - Wu, Dawei

PY - 2014/6/23

Y1 - 2014/6/23

N2 - 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.

AB - 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.

KW - pervasive sensing

KW - chp systems

KW - commerical buildings

KW - MIMO control

KW - energy performance assessment

UR - http://www.bso14.org/

M3 - Paper

SP - 019

ER -

Clarke J, Hand J, Kim JM, Ladha C, Olivier P, Roskilly T et al. Pervasive sensing as a mechanicsm for the effective control of CHP plant in commerical buildings. 2014. Paper presented at Building Simulation and Optimisation (BSO14), London, United Kingdom.