<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Spencer M. Dutton</style></author><author><style face="normal" font="default" size="100%">Hui Zhang</style></author><author><style face="normal" font="default" size="100%">Yongchao Zhai</style></author><author><style face="normal" font="default" size="100%">Edward A. Arens</style></author><author><style face="normal" font="default" size="100%">Youness Bennani Smires</style></author><author><style face="normal" font="default" size="100%">Samuel L. Brunswick</style></author><author><style face="normal" font="default" size="100%">Kyle S. Konis</style></author><author><style face="normal" font="default" size="100%">Philip Haves</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application of a stochastic window use model in EnergyPlus</style></title><secondary-title><style face="normal" font="default" size="100%">SimBuild 2012, 5th National Conference of IBPSA-USA, August 1-3, 2012</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://escholarship.org/uc/item/2gm7r783</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Madison, WI</style></pub-location><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Natural ventilation, used appropriately, has the potential to provide both significant HVAC energy savings, and improvements in occupant satisfaction.&lt;/p&gt;&lt;p&gt;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.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fred S. Bauman</style></author><author><style face="normal" font="default" size="100%">Thomas L. Webster</style></author><author><style face="normal" font="default" size="100%">Hui Jin</style></author><author><style face="normal" font="default" size="100%">Wolfgang Lukaschek</style></author><author><style face="normal" font="default" size="100%">Corinne Benedek</style></author><author><style face="normal" font="default" size="100%">Edward A. Arens</style></author><author><style face="normal" font="default" size="100%">Paul F. Linden</style></author><author><style face="normal" font="default" size="100%">Anna Lui</style></author><author><style face="normal" font="default" size="100%">Walter F. Buhl</style></author><author><style face="normal" font="default" size="100%">Darryl J. Dickerhoff</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Energy Performance of Underfloor Air Distribution Systems</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year></dates><publisher><style face="normal" font="default" size="100%">California Energy Commission - Public Interest Energy Research Program</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>