RT info:eu-repo/semantics/article
T1 Integrated Design of a Supermarket Refrigeration System by Means of Experimental Design Adapted to Computational Problems
A1 Sarabia Ortiz, Daniel
A1 Ortiz Fernández, Mª Cruz
A1 Sarabia Peinador, Luis Antonio
K1 Computational experiment
K1 D-optimal
K1 Integrated design and control
K1 Surrogate model
K1 Desirability
K1 Experimental design
K1 Hybrid Model Predictive Control
K1 Mixture
K1 Matemáticas
K1 Mathematics
K1 Ingeniería
K1 Engineering
K1 Informática
K1 Computer science
AB 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.
PB MDPI
SN 1999-4893
YR 2022
FD 2022-11
LK http://hdl.handle.net/10259/7127
UL http://hdl.handle.net/10259/7127
LA eng
NO This research was funded by Spanish MINISTERIO DE CIENCIA E INNOVACION and European Regional Development Funds, grant number PID2021-123654OB-C33.
DS Repositorio Institucional de la Universidad de Burgos
RD 27-abr-2024