Exergy Analyses and Modelling of a Novel Extra-Low Temperature Dedicated Outdoor Air System

Abstract

Abstract:A novel dedicated outdoor air system (DOAS) comprising a multi-stage direct expansion coil to produce extra-low temperature (XT) outdoor air to handle the entire space cooling demand has been confirmed more efficient than conventional systems. To further enhance the performance of XT-DOAS, the optimum number of cooling stages and treated outdoor air temperature need to be determined. This process requires the development of a coil performance model that takes into account the extra-high and extra-low entering air temperatures at the first and the last cooling stages. In this study, factory test data and field measurement data were used to develop such a performance model. Different statistical analyses were employed to validate the developed model. Based on the developed model, energy and exergy analyses were conducted to evaluate use of XT-DOAS for space cooling of a typical office building in Hong Kong. EnergyPlus was employed for the energy analysis. The laws of thermodynamics were used for the exergy analysis. Their combined results indicate that for better energy efficiency and performance for air-conditioning of office buildings in subtropical region, the optimum configuration for XT-DOAS is two cooling stages with a treated outdoor air temperature of 7 • C. The model developed and the energy and exergy analyses described will contribute significantly to future research in this area.

uhuMEB: Design, Construction, and Management Methodology of Minimum Energy Buildings in Subtropical Climates

“…Among those few studies that analyze the behavior of buildings in subtropical climates, most methodologies are based on energy simulations carried out with computer applications [20][21][22][23], sometimes including specific aspects such as heritage [24], retrofitting [25,26], economy [27], windows shading [28], facilities [29,30], and architectonical solutions for roofs [31]. The problem of drawing definitive conclusions based on data produced by computer applications is that their scientific validity is conditioned by various factors such as the internal calculation algorithm used, the quality of the actual building model, and the availability of climate data at the specific location.…”