Experimental and numerical analysis of shape optimization effect in HVAC system pumps on energy labeling class

Nowadays, according to increasing energy consumption especially in HVAC system, the need for optimizing energy consumption and determining energy efficiency class of different devices in HVAC system is essential. Centrifugal pumps, according to the statistical information, are from the high energy consumption devices in HVAC system. So in this paper a centrifugal pump was tested to determine performance curve and class of energy consumption according to standard of Iran (INSO 7817-2, 1st.edition) and new method that was recommended by the authors. Then, it was investigated numerically by using finite volume method and its geometry was optimized by using artificial neural network (ANNs) and Artificial Bee Colony (ABC) algorithm. The optimized parameters were hub diameter, suction diameter, impeller diameter, impeller width and blade angles. The results showed efficiency increase at BEP about 4% and improve the head about 7 m for optimized geometry. Hence, the class of energy consumption according to the Iran standard and the recommended methods in this research was improved from F class to E class and from E class to D class, respectively.