@inproceedings{26353,
  author = {Spencer M Dutton and Hui Zhang and Yongchao Zhai and Edward A Arens and Youness Bennani Smires and Samuel L Brunswick and Kyle S Konis and Philip Haves},
  title = {Application of a stochastic window use model in EnergyPlus},
  abstract = {<p>Natural ventilation, used appropriately, has the potential to provide both significant HVAC energy savings, and improvements in occupant satisfaction.</p><p>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.</p>},
  year = {2012},
  journal = {SimBuild 2012, 5th National Conference of IBPSA-USA, August 1-3, 2012},
  month = {08/2012},
  address = {Madison, WI},
  url = {https://escholarship.org/uc/item/2gm7r783},
}