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Coupling a Thermal Comfort Model with Building Simulation for User Comfort and Energy Efficiency

Conference Paper


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Abstract


  • This paper describes a methodology for coupling an

    advanced model of the thermo-regulatory system of

    the human body that describes its physiological

    processes, a comfort model that evaluates thermal

    sensation and comfort, and the ESP-r building

    simulation software that computes the transient

    thermal response of a building model.

    The objective of this study was to utilise the

    physiology and comfort models to dynamically

    modify the heating and cooling temperature set points

    of a zone controller in ESP-r, in accordance with the

    computed human thermal sensation and achieve realtime

    thermal comfort management.

    The comunication between the software is managed

    by the ESP-r controller, which at each simulation time

    step prints the building states on text files. The

    building states are then used by the physiology and

    comfort models to compute the perceived sensation

    and comfort metrics. These metrics are utilised by a

    logic in the controller of the indoor conditions to

    calculate the temperature set point corrections for the

    next time step. Simulation results were generated for

    a single zone model, using UK climate, over five

    winter and five summer days. Both winter and summer

    tests showed the expected behaviour in set point

    modification. The integration of the comfort model

    during the simulation of the case study building shows

    promising results in adjusting the set point by

    maintaining a relatively wide temperature range that

    ensures the building does not utilise excessive energy

    to maintain a narrow comfort band and at the same

    time that local thermal comfort requirements are

    satisfied.

Publication Date


  • 2016

Citation


  • Boudier, K., Fiorentini, M., Hoffmann, S., Kalyanam, R. & Kokogiannakis, G. (2016). Coupling a Thermal Comfort Model with Building Simulation for User Comfort and Energy Efficiency. CESBP Central European Symposium on Building Physics / BauSIM 2016

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1233&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/232

Abstract


  • This paper describes a methodology for coupling an

    advanced model of the thermo-regulatory system of

    the human body that describes its physiological

    processes, a comfort model that evaluates thermal

    sensation and comfort, and the ESP-r building

    simulation software that computes the transient

    thermal response of a building model.

    The objective of this study was to utilise the

    physiology and comfort models to dynamically

    modify the heating and cooling temperature set points

    of a zone controller in ESP-r, in accordance with the

    computed human thermal sensation and achieve realtime

    thermal comfort management.

    The comunication between the software is managed

    by the ESP-r controller, which at each simulation time

    step prints the building states on text files. The

    building states are then used by the physiology and

    comfort models to compute the perceived sensation

    and comfort metrics. These metrics are utilised by a

    logic in the controller of the indoor conditions to

    calculate the temperature set point corrections for the

    next time step. Simulation results were generated for

    a single zone model, using UK climate, over five

    winter and five summer days. Both winter and summer

    tests showed the expected behaviour in set point

    modification. The integration of the comfort model

    during the simulation of the case study building shows

    promising results in adjusting the set point by

    maintaining a relatively wide temperature range that

    ensures the building does not utilise excessive energy

    to maintain a narrow comfort band and at the same

    time that local thermal comfort requirements are

    satisfied.

Publication Date


  • 2016

Citation


  • Boudier, K., Fiorentini, M., Hoffmann, S., Kalyanam, R. & Kokogiannakis, G. (2016). Coupling a Thermal Comfort Model with Building Simulation for User Comfort and Energy Efficiency. CESBP Central European Symposium on Building Physics / BauSIM 2016

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1233&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/232