Modelling and analysis of proportional method in duct systems under uncertainty

Abstract

This paper presents a detailed study on the performance, generality and robustness of proportional method. A probabilistic model was proposed to predict the number of iterations needed for air balancing under different sensor uncertainties. This model was later validated by simulations in a duct system with 12 nodes and 20 branches. And the correlation between the efficiency of proportional method and sensor uncertainty were estimated based on the proposed model.