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.
Several models have been developed to study the airflow pattern and thermal distribution in buildings. This paper describes the development of a zonal model that may be incorporated into existing building energy analysis programs. The modeling is detailed in three applications describing how such a model can be simply applied. The model predictions were then compared with measurements and/or Computational Fluid Dynamics (CFD) model prediction.
Acoustic designers could be costing clients money by over-specifying acoustic solutions. Now, software has been developed that tracks how sound moves through a building and how to stop it
A new method for compensating the space discretization error introduced when the fixed flow field is considered for the dynamic models of temperature distribution is presented. It is proved that the method generally used in literature is a particular solution of the proposed one. Moreover, it results in a continuous-time model, for which the integrating method becomes a free choice and a state-space representation is possible.
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