Coupling stochastic occupant models to building performance simulation using the discrete event system specification formalism
When applying occupant models to building performance simulation (BPS), it is common practice to use a discrete-time approach requiring fixed time steps. Consequently, a simulated occupant's decisions do not increase in frequency in response to rapid changes in environmental conditions. Further...
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Published in | Journal of building performance simulation Vol. 7; no. 6; pp. 457 - 478 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
02.11.2014
Taylor & Francis Ltd |
Subjects | |
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Abstract | When applying occupant models to building performance simulation (BPS), it is common practice to use a discrete-time approach requiring fixed time steps. Consequently, a simulated occupant's decisions do not increase in frequency in response to rapid changes in environmental conditions. Furthermore, as illustrated in this study through the analysis of a discrete-time EnergyPlus simulation, changing the time step between simulation runs may have a dramatic effect on BPS predictions. It is therefore necessary to adhere to a prescribed time step, which may complicate the synchronization of events when models of different domains are coupled. The main contribution of this study is an investigation of the viability of employing the discrete event system specification (DEVS) formalism to represent occupant behaviour without fixed and prescribed time steps. Results indicate that using an adaptive time advancement scheme, the DEVS formalism permits realistic patterns of decision-making while facilitating the coupling of stochastic occupant models with thermal and heating, ventilation and air-conditioning models. |
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AbstractList | When applying occupant models to building performance simulation (BPS), it is common practice to use a discrete-time approach requiring fixed time steps. Consequently, a simulated occupant's decisions do not increase in frequency in response to rapid changes in environmental conditions. Furthermore, as illustrated in this study through the analysis of a discrete-time EnergyPlus simulation, changing the time step between simulation runs may have a dramatic effect on BPS predictions. It is therefore necessary to adhere to a prescribed time step, which may complicate the synchronization of events when models of different domains are coupled. The main contribution of this study is an investigation of the viability of employing the discrete event system specification (DEVS) formalism to represent occupant behaviour without fixed and prescribed time steps. Results indicate that using an adaptive time advancement scheme, the DEVS formalism permits realistic patterns of decision-making while facilitating the coupling of stochastic occupant models with thermal and heating, ventilation and air-conditioning models. When applying occupant models to building performance simulation (BPS), it is common practice to use a discrete-time approach requiring fixed time steps. Consequently, a simulated occupant's decisions do not increase in frequency in response to rapid changes in environmental conditions. Furthermore, as illustrated in this study through the analysis of a discrete-time EnergyPlus simulation, changing the time step between simulation runs may have a dramatic effect on BPS predictions. It is therefore necessary to adhere to a prescribed time step, which may complicate the synchronization of events when models of different domains are coupled. The main contribution of this study is an investigation of the viability of employing the discrete event system specification (DEVS) formalism to represent occupant behaviour without fixed and prescribed time steps. Results indicate that using an adaptive time advancement scheme, the DEVS formalism permits realistic patterns of decision-making while facilitating the coupling of stochastic occupant models with thermal and heating, ventilation and air-conditioning models. [PUBLICATION ABSTRACT] |
Author | O'Brien, William Beausoleil-Morrison, Ian Breslav, Simon Gunay, H. Burak Khan, Azam Goldstein, Rhys |
Author_xml | – sequence: 1 givenname: H. Burak surname: Gunay fullname: Gunay, H. Burak email: hgunay@connect.carleton.ca organization: Department of Civil and Environmental Engineering, Carleton University – sequence: 2 givenname: William surname: O'Brien fullname: O'Brien, William organization: Department of Civil and Environmental Engineering, Carleton University – sequence: 3 givenname: Ian surname: Beausoleil-Morrison fullname: Beausoleil-Morrison, Ian organization: Department of Mechanical and Aerospace Engineering, Carleton University – sequence: 4 givenname: Rhys surname: Goldstein fullname: Goldstein, Rhys organization: Autodesk Research, Environment and Ergonomics Research Group – sequence: 5 givenname: Simon surname: Breslav fullname: Breslav, Simon organization: Autodesk Research, Environment and Ergonomics Research Group – sequence: 6 givenname: Azam surname: Khan fullname: Khan, Azam organization: Autodesk Research, Environment and Ergonomics Research Group |
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SubjectTerms | adaptive time stepping Algorithms building performance simulation Computer simulation Development discrete event system specification Discrete event systems Energy management Formalism Joining manual control of occupant occupant behaviour Simulation Specifications stochastic occupant model Stochasticity Synchronization |
Title | Coupling stochastic occupant models to building performance simulation using the discrete event system specification formalism |
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