simulation

The aim of this research is to apply dynamic Large Eddy Simulation (LES) to predicting the complex turbulent flow field in an air-conditioned room. LES is a method to calculate turbulent flows where only the small-scale (subgrid-scale) motions are modelled and the large-scale (grid-scale) motions are computed directly. Recently, a dynamic subgrid-scale model has been developed that can evaluate a model coefficient dynamically. This paper presents a numerical simulation of LES with a dynamic mixed subgrid-scale model of a flow field in an air-conditioned room model.

The present energy consumption of European Buildings is higher than necessary, given the developments in control engineering. Optimization and integration of smart control into building systems can save substantial quantities of energy on a European scale while improving the standards for indoor comfort.

The present paper deals with one of the most important mechanisms of inter-zone mass and energy transfer, namely the buoyancy-driven flows through stairwells that connect the floors of buildings. To further investigate these phenomena, experimental as well as theoretical studies have been carried out. A series of experiments have been performed in order to study the airflow through a typical stairwell that connects the two individual zones of a two-storey house. Airflow rates between the two zones were measured using a single tracer gas decay technique.

The present paper investigates the potential of night ventilation techniques when applied to full scale office buildings, under different structure, design, ventilation, and climatic characteristics. The approach of this study includes the use of both experimental data and theoretical tools in order to determine the impact and the limitations of night ventilation regarding the thermal behavior of various types of office buildings.

The purpose of this study is to provide a model to facilitate the simulated evaluation of theenergy consumption for different mushroom house and climate set point configurations.Climate management in this application is complex, including control of: oxygen, carbondioxide, and water vapour, temperature, evaporation rate, air cleanliness, and indoor-outdoorpressure differential. Climate set points vary according to the stage of crop growth and need tobe maintained regardless of weather conditions.

In this paper, we are particularly interested in the automatic generation of zonal model. We show how a. program can deduce with expert rules a partitioning suitable for the main driving flows encountered in the room under study and how appropriated local model are chosen and connected each other. To illustrate our purpose, we solve the case of a ventilated bi dimensional cavity.

In this work a numerical model that permits to simulate the human body thermal system is presented. This computational model is based on the integral energy balance equation for the human body tissue, arterial and venous blood and mass balance equation for the blood.