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2012
Conference Paper
Titel
Use of the VEPZO model to optimize a hybrid ventilation system
Abstract
The method presented in this paper extends previous work on a velocity propagating zonal model (VEPZO) which has been presented at the previous BauSIM 2010 conference [Norrefeldt et al. 2010]. The model subdivides a single air volume space into several zones where adjacent elements exchange air through connected flow paths. The model functionality has been extended to represent the local room air temperature distribution. The VEPZO model is further coupled to a genetic algorithm, an optimization procedure derived from Darwin's law of "survival of the fittest". This coupling elaborates to solve for optimized positions and intensities of air inlets and outlets or heat sources in a room. An application example is shown in this paper in terms of optimizing window usage in a hybrid classroom ventilation system.
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