Abstract
In building design, several approaches have been proposed for coupling computational fluid dynamics (CFD) and energy simulation (ES) to perform analyses of thermal environments. The unsteady analysis of thermal environments within buildings containing offices and colonnade spaces is difficult to perform using an ES that represents the space with a single mass point, owing to excessive predictive heat loss; therefore, CFD has typically been used instead. Although it is possible to divide the space into zones using ES, it leads to excessive predicted heat loss and the prediction of heat movement due to the influence of strong air currents, such as those associated with air conditioners. This behavior is observed because these zones are not detailed mesh divisions. To solve these problems, we proposed a method for calculating the ratio of heat contribution to zones that were pre-divided using CFD followed by the distribution of the total thermal load calculated by ES. In this study, we proposed a method for coupling ES and CFD, which enabled the unsteady analysis of a thermal environment in a large space and verified its accuracy.
Highlights
The behaviors of thermal environments are typically predicted using computational fluid dynamics (CFD), a specialized approach to solving flows of physical quantities based on energy simulation (ES)and incorporating fluid dynamics based on heat transfer theory
We proposed a method for coupling ES and CFD, which enabled the unsteady analysis of a thermal environment in a large space and verified its accuracy
In heat transfer from sources using and with contribution to each each zone divided dividedwith arbitrarily, overcoming the difficulty difficulty associated with the the prediction prediction of indoor thermal environments excellent forced convection
Summary
The behaviors of thermal environments are typically predicted using computational fluid dynamics (CFD), a specialized approach to solving flows of physical quantities based on energy simulation (ES). It is difficult to predict actual physical phenomena using assumed values To solve this problem, a method of dividing the space into layers and calculating the heat transfer between zones as a block model [13,14] has been developed, but there are many associated input conditions that require adjustment, and considerable experience is required. In recent years, coupled analysis has been conducted to calculate the flow rate between zones using CFD and to transfer it to ES [15] This coupled method still makes assumptions regarding the precision of data for office spaces, including such assumptions as the fact that the air-conditioning is supplied by a plurality of air conditioners, or that the environment possesses excellent natural convection.
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