HVAC systems optimization
Data and artificial intelligence to reduce consumption levels and CO2 emissions.
HVAC systems optimization
Data and artificial intelligence to reduce consumption levels and CO2 emissions.
HVAC systems optimization
Data and artificial intelligence to reduce consumption levels and CO2 emissions.
Digital technology for smarter and more efficient buildings
Experience in plant management and maintenance and the development of innovative digital know-how were key factors enabling Edison NEXT to successfully help a leading international player in the automotive sector on a project to reduce energy consumption levels and CO2 emissions of heating, ventilation and air conditioning systems in a large industrial shed.
The customer
Edison NEXT led one of the biggest production facilities in Italy belonging to a leading international player in the automotive sector facing the challenge of economic and environmental sustainability in its ecological transition journey.
The solution
After thorough analysis carried out alongside the customer, Edison NEXT designed and implemented a digital monitoring and dynamic control system for the building’s HVAC plants. The solution involved the installation of sensors and actuators on the plants, software for displaying and handling data and the use of machine learning algorithms for adaptative and predictive regulation.
