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Modeling and analysis of sensor uncertainty for non-iterative air balancing methods

Air balancing must be conducted regularly in air duct systems to maintain accurate air supply and optimal working conditions. The non-iterative air balancing methods are gradually attracting interest for their low cost and high efficiency. The existing non-iterative air balancing methods relies heavily on flow measurement and can be greatly affected by sensor accuracy. To evaluate comprehensively the performance of an air balancing method, the robustness against sensor uncertainty should be considered and quantified appropriately. This paper proposes a mathematical model for non-iterative methods to predict the balancing performance in the presence of sensor uncertainty.