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This paper presents a novel fan-independent air balancing method based on computational model of air duct system. The method involves five procedures: 1) model formulation, 2) data acquisition, 3) parameter identification, 4) balancing calculation and 5) adjusting implementation. The duct network model consists of models of components like fans and conduits and assembles them by the conservation laws...
This paper presents a soft-sensing method for predicting the liquid desiccant concentration based on the Extreme learning machine (ELM). The soft-sensing method utilizes a blackbox model including eight inputs variables and one output to predict the concentration in real-time and is a better alternative to manual measurement or expensive and complex sensors. The soft-sensing method is verified with...
In this paper, a CFD model calibrated by the experimental results from initial designed ejector is used to evaluate the influence of 6 key geometry parameters on the performance (entrainment ratio) of an air-cooled ejector cooling system and, consequently, to find the best design parameters. A new ejector according to the findings from the CFD simulation is then designed and used at the same air-cooled...
The heating, ventilating, and air-conditioning systems (HVAC systems) are typical nonlinear time-variable multivariate systems with disturbances and uncertainties. A new Mamdani fuzzy model predictive control strategy based on sum-min inference was proposed to control HVAC systems in this paper. The resolution relationship of two inputs and single output variables of the Mamdani fuzzy controller was...
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