Modeling and Simulation of Variable Air Volume Air-Conditioning System and Its Control Strategy

Z.S. Zhao, Y. Wu, and J. Lü (PRC)


VAV system, modeling, cascade control strategy, neural network


This paper describes a method for analyzing the controllability of duct systems for variable air volume (VAV) and how it has been implemented in simulation. An innovated control strategy of VAV system is presented based on the concept in view of the whole system. Modeling methodology for global VAV system is developed, including the model of an air handle unit (AHU) connecting ductwork with all boxes, zones model and static pressure-correlation model. The model configuration is suitable for studying various optimal control strategies. The total air volume control strategy is presented that is not only expected to give good regulation of zone temperatures, but also minimize fan energy consumption. The overall VAV system is decomposed into a fast (air flow) system and a slow thermal system, so a cascade control strategy is employed in its system level, which successfully solves optimal operation problems of VAV control puzzles. According the obtained large-scale dynamic models and the cascade strategy presented we simulate the multizone VAV system to acquire the best control parameters.

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