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.
20 GWh/year
70.000 m2
50
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 requirement
Reduction of energy spending and CO2 emissions by the heating, ventilation and air conditioning (HVAC) systems in a large industrial shed without modifying existing plants but guaranteeing constant comfort and suitable temperatures in the workplace.
Reduction of consumption
Comfort
Efficiency
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.
IoT hardware
Installation of sensors to continually measure temperature, humidity and CO2, as well as actuators to operate the plants in response to inputs from the control algorithms.
Software
A dashboard accessible via any desktop browser or smartphone with an internet connection to display, at any time, all the parameters monitored and check the operation indicators.
Artificial intelligence
A cloud platform that uses machine learning to process data and define how to regulate the plants to optimize energy consumption, CO2 emissions and comfort in the building.
Results
Thanks to the technologies deployed, we obtained appreciable savings in thermal and electric energy and guaranteed round the clock remote control using the Internet of Things and Artificial Intelligence.
36%
6%
24h/24
Energy utilities
Discover how Edison NEXT can lead you in your energy efficiency projects for industrial sites and buildings.
