This short article aims to inform modellers and model users about efficient sensitivity analysis methods. Also presented is a tool under development aimed at simplifying the application of sensitivity methods. Such techniques are essential to add confid
Computational Fluid Dynamics (CFO) modelling techniques have been used extensively and with considerable success for many years in providing environmental and physiological flow conditions in applications as diverse as:
In this study, a mixed mode building, namely the Portland Building at the University of Portsmouth is considered. It combines both Natural Ventilation and conventional Heating Ventilating and Air Conditioning systems to maintain the internal comfort. The paper presents the development of Sof1 Computing models to predict the internal temperature in one of the offices using information from neighbouring rooms, corridor and the outside. To derive this model, the so called Adaptive Neuro Fuzzy lnference System method is used.