Publications
2016
Langevin, Jared; Wen, Jin; Gurian, Patrick L.
Quantifying the human–building interaction: Considering the active, adaptive occupant in building performance simulation Journal Article
In: Energy and Buildings, vol. 117, pp. 372-386, 2016, ISSN: 0378-7788.
Abstract | Links | BibTeX | Tags: Agent-based modeling, Building performance modeling, Co-simulation, Occupant behavior, Thermal comfort
@article{LANGEVIN2016372,
title = {Quantifying the human–building interaction: Considering the active, adaptive occupant in building performance simulation},
author = {Jared Langevin and Jin Wen and Patrick L. Gurian},
url = {https://www.sciencedirect.com/science/article/pii/S037877881530267X},
doi = {https://doi.org/10.1016/j.enbuild.2015.09.026},
issn = {0378-7788},
year = {2016},
date = {2016-01-01},
journal = {Energy and Buildings},
volume = {117},
pages = {372-386},
abstract = {This paper introduces a Human and Building Interaction Toolkit (HABIT) for simulating the thermally adaptive behaviors and comfort of office occupants alongside building energy consumption. The toolkit uses the Building Controls Virtual Test Bed (BCVTB) to co-simulate a field-tested, agent-based behavior model with an EnergyPlus medium office model. The usefulness of the toolkit is demonstrated through a series of zone and building-level case study simulations that examine the wisdom of pairing local heating and cooling options with strategic thermostat set point offsets, judging from the energy, Indoor Environmental Quality (IEQ), and cost perspectives. Results generally suggest that trading efficient local heating/cooling options for whole space conditioning has both energy and comfort benefits, saving up to 28% of monthly HVAC energy while improving the acceptability of thermal conditions in a Philadelphia climate. Nevertheless, cost analysis shows that the fuel source of conserved energy must be considered – particularly in the case of personal heater use, which adds to electric plug loads and associated utility and CO2 emissions cost penalties. Moreover, costs from even small changes in simulated occupant productivity tend to overwhelm energy costs, suggesting the need to improve the accuracy and precision of available productivity models across multiple seasons and climates.},
keywords = {Agent-based modeling, Building performance modeling, Co-simulation, Occupant behavior, Thermal comfort},
pubstate = {published},
tppubtype = {article}
}
This paper introduces a Human and Building Interaction Toolkit (HABIT) for simulating the thermally adaptive behaviors and comfort of office occupants alongside building energy consumption. The toolkit uses the Building Controls Virtual Test Bed (BCVTB) to co-simulate a field-tested, agent-based behavior model with an EnergyPlus medium office model. The usefulness of the toolkit is demonstrated through a series of zone and building-level case study simulations that examine the wisdom of pairing local heating and cooling options with strategic thermostat set point offsets, judging from the energy, Indoor Environmental Quality (IEQ), and cost perspectives. Results generally suggest that trading efficient local heating/cooling options for whole space conditioning has both energy and comfort benefits, saving up to 28% of monthly HVAC energy while improving the acceptability of thermal conditions in a Philadelphia climate. Nevertheless, cost analysis shows that the fuel source of conserved energy must be considered – particularly in the case of personal heater use, which adds to electric plug loads and associated utility and CO2 emissions cost penalties. Moreover, costs from even small changes in simulated occupant productivity tend to overwhelm energy costs, suggesting the need to improve the accuracy and precision of available productivity models across multiple seasons and climates.