Neural networks (NNs) have been proposed as a promising alternative for fast and accurate prediction of indoor airflow. NN training is great importance acquiring results, which essentially nonconvex optimization process through gradient descent-based algorithms. performance at certain solution dependent on the initial parameter values from random initialization, crucial to reliability evaluatio...

knowledge of airflow resistance is an important consideration in designing an appro-priate ventilation system and for proper fan selection. an airflow resistance device was designed and fabricated to measure the airflow resistance of potatoes. the device the composed of an air compressor, a rotameter, a cylindrical bin to contain the potatoes and an inclined u-tube manometer. airflow resistance...

UNLABELLED With the capability to improve indoor air quality while simultaneously reducing energy demand, displacement ventilation is becoming popular. However, the numerical simulation of air distribution in an indoor space with displacement ventilation using computational fluid dynamics (CFD) is challenging because of the complexity of air diffuser geometry and the complicated airflow pattern...

Indoor air quality (IAQ) influences individual physical and mental health. Laboratory studies conducted in environmental chambers have shown that IAQ parameters such as temperature, humidity, CO 2 , volatile organic compounds (VOCs) may impact participants’ productivity cognitive performance. To better understand the influence of VOC at low concentration on function, this study applied a contro...

Computational Fluid Dynamics (CFD) is fast becoming a useful tool to aid clinicians in pre-surgical planning through the ability to provide information that could otherwise be extremely difficult if not impossible to obtain. However, in order to provide clinically relevant metrics, the accuracy of the computational method must be sufficiently high. There are many alternative methods employed in...

Computational fluid dynamics can be time consuming for predicting indoor airflows and pollutant transport in large-scale problems or emergency management. Fast (FFD) is able to accomplish efficient accurate simulation of indoor/outdoor airflow. FFD solves the advection term Navier–Stokes equations either by a semi-Lagrangian (SL) scheme an implicit upwind (IU) scheme. The SL highly efficient, b...