Integrated Design of a Supermarket Refrigeration System by Means of Experimental Design Adapted to Computational Problems

In this paper, an integrated design of a supermarket refrigeration system has been used to obtain process with better operability. It is formulated as multi-objective optimization problem where control performance evaluated by six indices and the variables are number discrete power each compressor be installed. The functional dependence between unknown, therefore optimal configuration must obtained through computational experimentation. This work double objective: adapt surface response methodology (SRM) optimize problems without experimental variability ones show advantage considering design. SRM framework, stated mixture constraints synergistic cubic model D-optimal applied perform experiments. Finally, reduced single objective one means desirability function. distribution three compressors, in percentage, (50,20,20). solution excellent behaviour respect proposed, significant reduction time oscillations controlled consumption compared other possible distributions.