Integrated Design of a Supermarket Refrigeration System by Means of Experimental Design Adapted to Computational Problems
| Autor: | MC Ortiz, Luis Sarabia, Daniel Sarabia |
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| Rok vydání: | 2022 |
| Předmět: |
Informática
Numerical Analysis Matemáticas Ingeniería D-optimal Computer science Surrogate model Experimental design Theoretical Computer Science Computational Mathematics Engineering Hybrid Model Predictive Control Computational Theory and Mathematics Mixture Computational experiment computational experiment Integrated design and control surrogate model desirability experimental design mixture Desirability Mathematics |
| Zdroj: | Algorithms; Volume 15; Issue 11; Pages: 417 Repositorio Institucional de la Universidad de Burgos (RIUBU) instname |
| ISSN: | 1999-4893 2021-1236 |
| DOI: | 10.3390/a15110417 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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