Share

IIR document

Energy optimization of a domestic refrigerator controlled by a fuzzy logic system using the status of the door.

Author(s) : BELMAN-FLORES J. M., LEDESMA S., RODRIGUEZ-VALDERRAMA D. A., et al.

Type of article: Article, IJR article

Summary

This paper proposes a novel fuzzy logic control system for a domestic refrigerator taking into consider- ation the status of the door. The goal of this system is to keep the temperature of the fresh food com- partment as close as possible to the set point while saving energy. The fuzzy logic system was set up to control the speed of the compressor. The set of inference rules in this study incorporated the frequency and duration of the door opening. These rules try reducing the compressor speed at a minimum value, and therefore, reducing the number of times the compressor is turned offwhen the door is open. To compare and evaluate the control systems, several tests with different configuration and rules were per- formed. Each test ran for seventeen hours, during this time the test included three periods when the door was opened and closed several times. It was concluded that the electric current when the compres- sor starts was reduced and produced an overall energy saving of 3%. Thus, it is evident that the more information is incorporated into a fuzzy logic system, the more energy savings can be obtained.

Available documents

Format PDF

Pages: 1-8

Available

  • Public price

    20 €

  • Member price*

    Free

* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).

Details

  • Original title: Energy optimization of a domestic refrigerator controlled by a fuzzy logic system using the status of the door.
  • Record ID : 30026558
  • Languages: English
  • Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 104
  • Publication date: 2019/08
  • DOI: http://dx.doi.org/10.1016/j.ijrefrig.2019.04.025

Links


See other articles in this issue (50)
See the source

Indexing