Numerical Simulation of Air Pollution Control in Hospital

Abstract

Human first created buildings to protect themselves from the adverse climatic conditions and other hazards in the natural environment. People have become more cognizant of the gist of the indoor atmosphere on health as a consequence of media publicity surrounding building-related sickness (BRS) and the sick building syndrome (SBS). Building-related sickness comprises the sensation of stuffy, stale and unacceptable indoor air, irritation of mucous membranes, headache, lethargy, and so forth. Acceptable indoor air quality (IAQ) helps to maintain healthy and productive indoor environments. This chapter deals with air pollution in healthcare place, the importance of ventilation in a hospital environment, indoor air pollutants, and transmission of contaminants and airborne particle inside the infirmary. In general, pollutants of common concern in buildings are divided into two broad classifications: particulates and volatile organic compounds (VOCs). Respirable suspended particles (RSPs) are small, easily-made-airborne particles, which can be actively measured with appropriate sensing equipment. There are many sources of airborne pollutants and odours in and around buildings. Some pollutants of particular concern to quality of indoor air are formaldehyde, VOCs, ozone, tobacco smoke, and aerosols, etc. In addition, odours, CO₂, and the moistness, which cause important effects on indoor air quality, especially in densely occupied spaces. The precise prediction of air stream within a room may improve heating, ventilation, and air conditioning (HVAC) scheme for a salubrious environment significantly. Ventilation and quality of indoor air stream are just two of the many fields which would benefit from the enhancement of room air flow. In this work, simulation of airflow in a room of the ICU has carried away to examine air flow pattern using FLUENT 15 CFD software. Standard k-epsilon turbulence model is used for airflow simulation. Simulation is carried out using second-order upwind simple scheme. The study predicts room air flow information in terms of velocities, temperatures, and contaminant distributions which are beneficial for infection control, building layout investigation.