Application of artificial intelligence to refrigeration systems

  1. Cerdán Cartagena, José Fernando
  2. Pérez Gomariz, Mario
  3. López Gómez, Antonio
Libro:
Libro de actas XI Congreso Ibérico y IX Congreso Iberoamericano de Ciencias y Técnicas del Frío Cytef2022: Avances en Ciencias y Técnicas del Frío - 11. Cartagena, España, 17-19 abril, 2022
  1. Antonio López Gómez (dir. congr.)
  2. José Ramón García Cascales (dir. congr.)
  3. Ginés Benito Martínez Hernández (dir. congr.)
  4. Arturo Esnoz Nicuesa (dir. congr.)
  5. Asunción Iguaz Gainza (dir. congr.)
  6. Fernando Illán Gómez (dir. congr.)
  7. Francisco Javier Sánchez Velasco (dir. congr.)
  8. José Pablo Delgado Marín (dir. congr.)
  9. Ramón Antonio Otón Martínez (dir. congr.)

Editorial: Universidad Politécnica de Cartagena

ISBN: 978-84-17853-55-6

Año de publicación: 2022

Páginas: 483-489

Tipo: Capítulo de Libro

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Resumen

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 ...

Fuente de los datos: Dialnet