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Title: Buildings.Occupants: A Modelica package for modelling occupant behaviour in buildings

Abstract

Energy-related occupant behaviour is crucial to design and operation of energy and control systems in buildings. Occupant behaviours are often oversimplified as static schedules or settings in building performance simulation ignoring their stochastic nature. The continuous and dynamic interaction between occupants and building systems motivates their simultaneous simulation in an efficient manner. In the past, simultaneous simulation has relied on co-simulation approaches or customized source code changes to building simulation programmes. This paper presents Buildings. Occupants, an open-source package implemented in Modelica, for the simulation of occupant behaviours of lighting, windows, blinds, heating and air conditioning systems in office and residential buildings. Examples were presented to illustrate how the models in the Occupants package are capable to simulate stochastic occupant behaviours. Furthermore, the major contribution of this work is to introduce the equation-based modelling approach to simulate occupant behaviours in buildings and to develop an open-source Occupants package in the Modelica language.

Authors:
 [1];  [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
OSTI Identifier:
1484218
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Building Performance Simulation
Additional Journal Information:
Journal Name: Journal of Building Performance Simulation; Journal ID: ISSN 1940-1493
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Occupant behaviour; Modelica; Modelica Buildings Library; Modelica Occupants Package; Occupant behaviour modelling

Citation Formats

Wang, Zhe, Hong, Tianzhen, and Jia, Ruoxi. Buildings.Occupants: A Modelica package for modelling occupant behaviour in buildings. United States: N. p., 2018. Web. doi:10.1080/19401493.2018.1543352.
Wang, Zhe, Hong, Tianzhen, & Jia, Ruoxi. Buildings.Occupants: A Modelica package for modelling occupant behaviour in buildings. United States. doi:10.1080/19401493.2018.1543352.
Wang, Zhe, Hong, Tianzhen, and Jia, Ruoxi. Thu . "Buildings.Occupants: A Modelica package for modelling occupant behaviour in buildings". United States. doi:10.1080/19401493.2018.1543352.
@article{osti_1484218,
title = {Buildings.Occupants: A Modelica package for modelling occupant behaviour in buildings},
author = {Wang, Zhe and Hong, Tianzhen and Jia, Ruoxi},
abstractNote = {Energy-related occupant behaviour is crucial to design and operation of energy and control systems in buildings. Occupant behaviours are often oversimplified as static schedules or settings in building performance simulation ignoring their stochastic nature. The continuous and dynamic interaction between occupants and building systems motivates their simultaneous simulation in an efficient manner. In the past, simultaneous simulation has relied on co-simulation approaches or customized source code changes to building simulation programmes. This paper presents Buildings. Occupants, an open-source package implemented in Modelica, for the simulation of occupant behaviours of lighting, windows, blinds, heating and air conditioning systems in office and residential buildings. Examples were presented to illustrate how the models in the Occupants package are capable to simulate stochastic occupant behaviours. Furthermore, the major contribution of this work is to introduce the equation-based modelling approach to simulate occupant behaviours in buildings and to develop an open-source Occupants package in the Modelica language.},
doi = {10.1080/19401493.2018.1543352},
journal = {Journal of Building Performance Simulation},
number = ,
volume = ,
place = {United States},
year = {Thu Nov 22 00:00:00 EST 2018},
month = {Thu Nov 22 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on November 22, 2019
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