Recommended by the IIR / IIR document

Use of Internet of Things and Artificial Intelligence in Refrigeration and Air Conditioning. 55th Informatory Note on Refrigeration Technologies.

Author(s) : MINETTO S., MAURO A., MARTÍNEZ S., ZHAO Y.

Type of article: Informatory note

Summary

Despite refrigeration and air conditioning accounting for a significant share of global energy consumption, the application of digitalisation to these areas has so far received less attention than for other household appliances and mobility devices.
The application of Internet of Things (IoT) and Artificial Intelligence (AI) tools to the refrigeration and air conditioning industry offers great opportunities for control and prediction, using machine learning methods for instance, to take a step forward in achieving goals, reducing downtime costs with predictive fault diagnosis, while minimising energy consumption and maximising product quality or occupant comfort.
This Informatory Note highlights the applications and potential benefits of IoT and AI in two key areas of this industry:
- Heating, Ventilation and Air conditioning, focusing on chillers, heat pumps, split systems, Variable Refrigerant Volume and Variable Refrigerant Flow systems;
- cold chain, including processing, refrigerated transport, cold storage, retail, professional and domestic appliances.
It describes the challenges to be met for wider application of these technologies in a context of sustainable development and formulates a series of recommendations to decision-makers.

Available documents

Informatory note - Use of Internet of Things and Artificial Intelligence in Refrigeration and Air Conditioning (English)

Pages: 14

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Note d'information -Utilisation de l’Internet des objets et de l’intelligence artificielle dans le froid et le conditionnement d’air (French)

Pages: 16

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    20 €

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Details

  • Original title: Use of Internet of Things and Artificial Intelligence in Refrigeration and Air Conditioning. 55th Informatory Note on Refrigeration Technologies.
  • Record ID : 30031296
  • Languages: French, English
  • Publishers: IIF-IIR
  • Publication date: 2023/08
  • DOI: http://dx.doi.org/10.18462/iif.NItec55.08.2023