In this paper, the distribution features air-conditioning temperature field are discussed with numerical simulation methods for semi-opening large space building. Important influential factors, such as ambient air parameters space characteristics of semi-opening large space building and the method and parameters of air distributing, are presented.

The paper simulates the airflow and temperature fields in a dome Shanghai International Gymnastics Center (SIGC) at one summer day with the computational fluid dynamics (CFD) software PHOENIS. The comparisons of indoor vertical temperature distributions show that the predicted results are in good agreement with the on-site measured ones. And some analyses on the thermal characteristics in the actual dome are carried out.

Natural ventilation can be an effective measure to minimize building energy consumption and to improve indoor air quality. This study focuses specifically on buoyancy-driven single-sided ventilation design using computational fluid dynamics (CFD) techniques. Simulations are performed for a student dormitory under typical conditions of outdoor temperature, cooling load, and opening size by use of an indoor stack model and a combined indoor and outdoor stack model. The simulation results are also compared with semi-analytical solutions.

This study utilizes Computational Fluid Dynamics (CFD) and particle tracking procedure to study the effects of ventilation system and ultraviolet germicidal irradiation (UVGI) on minimizing the risk from airborne organism in isolation rooms.

In this study, the effects of internal partition on ventilation performance in terms of room air change efficiency and ventilation effectiveness were investigated. A model test room was used and the physical test conditions were simulated numerically by using a CFD (Computational Fluid Dynamics) code under isothermal conditions. The test room was ventilated in mixing mode and different partition configurations, including its location, height and gap underneath as well as the contaminant source location, were examined.

A dual-mode demand control ventilation strategy was developed targeting at using in institutional or similar buildings where the number of occupants varies frequently. One occupant-related and one non-occupant-related indoor contaminants were used as the indication signals to control the fresh air intake. The first contaminant is carbon dioxide, which is a good surrogate gas for bio-effluent and the second is radon which is non-occupant-related and had been identified as a major indoor air pollutant in some buildings in the university where this project has been carried out.

Environmental control of basement by heating and dehumidifying the air is widely used in summer. In general, ventilation can make the air more humid. From the point of view of energy saving, it is suggested to exchange humidity and to insulate heat between stale air and fresh air during ventilating basement. To improve the efficient of the exchanging system, the characteristics of heat and mass transfer of membrane device are studied. It is presented that the membrane device exchange system not only can keep the heat but also can remove moisture of the fresh air.

This paper presents a stochastic single zone model for a hybrid ventilated building. Wind pressure and stack effect are used to drive air through the enclosure assisted by a fan in case of insufficient natural driving forces. Based on Monte Carlo Simulation, the model calculates the time varying airflow rate considering the random nature of input. An important aspect when considering stochastic models for hybrid ventilated buildings is the control strategy. The airflow in the present model is controlled by a damper and a fan using a PI controller.

This paper investigated design methods of utilising tunnel air for ventilation and prediction methods of distributing state for indoor thermal environment utilizing tunnel air for ventilation in one year in an office building, provided a series of program for design and prediction, and performed verification for a concrete engineering example.

Multizone modelling is a way to determine the air flows in a complex ventilated building subject to internal and external loads. The purpose of this work is to consider and quantify the influence of randomness in the load parameters, which is accomplished by means of a stochastic multizone model. In the first place a deterministic multizone model is applied. The model is capable of predicting air flow and pressure distribution within a building divided into an arbitrary number of zones and flow paths. The air flow is driven by pressure differences due to wind and stack effect.