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Application de l'intelligence artificielle aux systèmes frigorifiques.

Application of artificial intelligence to refrigeration systems.

Numéro : 483

Auteurs : CERDÁN CARTAGENA, PÉREZ GOMARIZ, LÓPEZ GÓMEZ A.

Résumé

Refrigeration systems currently use 20% of the total electrical energy, and this consumption is expected to increase by more than 30% between now and 2050. The optimization of these systems makes it possible to minimize CO2 emissions, increase energy efficiency and reduce costs. However, refrigeration system optimization problems are complex and time consuming. This is where sensorization and artificial intelligence come into play. Not many years ago, refrigeration systems were controlled with analog thermostats, and centralized supervision by SCADA systems using the data from sensors. Currently, we are in a completely digitized world thanks to massive sensorization, which is possible due to the development of the IoT (Internet of Things). The fundamental premise of the IoT is to connect the unconnectable by enabling new services and experiences. Complex machines and systems such as refrigeration systems can be measured comprehensively, down to the component level, and their data streams studied in real-time analysis systems. In this case, artificial intelligence can take the data to drive decision-making.

Documents disponibles

Format PDF

Pages : 7

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Application of artificial intelligence to refrigeration systems.
  • Identifiant de la fiche : 30030585
  • Langues : Anglais
  • Source : XI Congreso Ibérico y IX Congreso Iberoamericano de Ciencias y Técnicas del Frío, CYTEF 2022.
  • Date d'édition : 04/2022

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