2026-06-21T21:51:44Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/71272022-11-15T01:05:19Zcom_10259_4249com_10259_5086com_10259_2604com_10259_6155com_10259_4266com_10259.4_106com_10259_6164com_10259_4534col_10259_4250col_10259_6156col_10259_6165

Sarabia Ortiz, Daniel Ortiz Fernández, Mª Cruz Sarabia Peinador, Luis Antonio 2022-11-14T11:29:02Z 2022-11-14T11:29:02Z 2022-11 1999-4893 http://hdl.handle.net/10259/7127 10.3390/a15110417 1999-4893 In this paper, an integrated design of a supermarket refrigeration system has been used to obtain a process with better operability. It is formulated as a multi-objective optimization problem where control performance is evaluated by six indices and the design variables are the number and discrete power of each compressor to be installed. The functional dependence between design and performance is unknown, and therefore the optimal configuration must be obtained through a computational experimentation. This work has a double objective: to adapt the surface response methodology (SRM) to optimize problems without experimental variability as are the computational ones and show the advantage of considering the integrated design. In the SRM framework, the problem is stated as a mixture design with constraints and a synergistic cubic model where a D-optimal design is applied to perform the experiments. Finally, the multi-objective problem is reduced to a single objective one by means of a desirability function. The optimal configuration of the power distribution of the three compressors, in percentage, is (50,20,20). This solution has an excellent behaviour with respect to the six indices proposed, with a significant reduction in time oscillations of controlled variables and power consumption compared with other possible power distributions. This research was funded by Spanish MINISTERIO DE CIENCIA E INNOVACION and European Regional Development Funds, grant number PID2021-123654OB-C33. eng MDPI Algorithms. 2022, V. 15, n. 11: 417 https://doi.org/10.3390/a15110417 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2021-123654OB-C33/ES/ Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Computational experiment D-optimal Integrated design and control Surrogate model Desirability Experimental design Hybrid Model Predictive Control Mixture Matemáticas Ingeniería Informática Mathematics Engineering Computer science Integrated Design of a Supermarket Refrigeration System by Means of Experimental Design Adapted to Computational Problems info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Algorithms 15 11 417