Universidad Politécnica de Cartagena. Ediciones UPCT
Abstract
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
