Natural ventilation, used appropriately, has the potential to provide both significant HVAC energy savings, and improvements in occupant satisfaction.
Central to the development of natural ventilation models is the need to accurately represent the behavior of building occupants. The work covered in this paper describes a method of implementing a stochastic window model in EnergyPlus. Simulated window use data from three stochastic window opening models was then compared to measured window opening behavior, collected in a naturally-ventilated office in California. Recommendations regarding the selection of stochastic window use models, and their implementation in EnergyPlus, are presented.
BT - SimBuild 2012, 5th National Conference of IBPSA-USA, August 1-3, 2012 CY - Madison, WI DA - 08/2012 N2 -Natural ventilation, used appropriately, has the potential to provide both significant HVAC energy savings, and improvements in occupant satisfaction.
Central to the development of natural ventilation models is the need to accurately represent the behavior of building occupants. The work covered in this paper describes a method of implementing a stochastic window model in EnergyPlus. Simulated window use data from three stochastic window opening models was then compared to measured window opening behavior, collected in a naturally-ventilated office in California. Recommendations regarding the selection of stochastic window use models, and their implementation in EnergyPlus, are presented.
PP - Madison, WI PY - 2012 T2 - SimBuild 2012, 5th National Conference of IBPSA-USA, August 1-3, 2012 T3 - SimBuild 2012, 5th National Conference of IBPSA-USA, August 1-3, 2012 TI - Application of a stochastic window use model in EnergyPlus UR - https://escholarship.org/uc/item/2gm7r783 ER -