EMPIRICALLY DERIVED FORMULAS TO PREDICT INDOOR MAXIMUM, AVERAGE, AND MINIMUM TEMPERATURES IN ROOFPONDBUILDINGS USING MINIMUM CLIMATIC INFORMATION

摘要

This article introduces a set of empirically developed formulas to predict indoor air temperatures and comfort conditions inside of Skytherm™ Southwest roofpond buildings. The formulas were derived from an experimental setup built at the Natural Energies Advanced Technologies Laboratory at the University of Nevada, Las Vegas.Data collected during the experiments included outdoor air temperatures, global horizontal irradiance, and indoor air and surface temperatures measured inside two different test cells (i.e. a Skytherm™ Southwest roofpond and a control cell). The formulas presented in this article cover two different phases of the study: from October of 2004 through September of 2006 (when the test cells had minimal insulation) and from March of 2009 through October of 2009 (when the test cells were well insulated).The predictive formulas introduced in this paper may be used in different parts of the world (particularly developing nations where insulation and air-conditioning are rarely used) to predict the performance of a roofpond building using minimal climate data.