Development of Intelligent Controller for HVAC Damper Control

Vasanth Kumar, J Preetha Roselyn

Abstract


 

 This paper shows the development of intelligent controller for Heating Ventilation and Air Conditioning (HVAC) systems. HVAC systems consumes about 50% of the total energy requirement of a commercial building, this is due to the lack of intelligent controllers in the conventional system that controls the unit. A conventional system can be converted into an energy efficient system using an intelligent control. An intelligent controller is used to calculate the cooling requirements based on various parameters that include room temperature, required temperature, time required to cool, occupancy, and heat load requirement of the area to be cooled. A controller was modelled in LabView with the help of a novel equation, which was formulated by using the parameters, simulations are carried out using various test conditions and parameter. With the use of artificial neural network, the heating and cooling requirements of an area is predicted and are supplied as per demand. The neural network model is trained with the data set obtained from the LabView CRIO controller, which improves the system efficiency and reduce energy wastage. 


Keywords


HVAC system; Controller Design; Control System; LabView; Artificial Neural Network.

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v14i3.14448.g8942

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