Smart lighting in public areas, energy savings of up to 70-80%
A study by the Milan Polytechnic for Assil, in support of the Ddl on public lighting efficiency through digitised systems
by R.I.T.
Key points
The benefits of technology on energy-efficient lighting and - hence - on reducing environmental impact and costs is obvious to all. Long gone are the days when, in order to save on the electricity bill, the only option was to switch off as many lights as possible.
Today, so-called 'intelligent lights' make it possible to control, programme and optimise light sources while improving their functional and aesthetic performance. An achievement that has the triple advantage of reducing the environmental pollution of lighting, of reducing energy costs and of having opened up prairies of experimentation and innovation for manufacturers of luminaires and lighting systems.
While this has been established for several years in the private sector, the culture of 'intelligent lighting' is also spreading rapidly in the public sector, as demonstrated by Bill No. 1700, deposited in the Senate and entitled 'Provisions for the efficiency of public lighting and public buildings through the promotion of state-of-the-art digitalised lighting systems'.
Precisely to discuss this bill - and the potential that its approval would trigger - the meeting 'Intelligent public lighting: a lever for the country's energy and digital transition' was held in Rome, promoted on the initiative of Senator Clotilde Minasi, during which a study by Assil (Association of lighting manufacturers), carried out in collaboration with the Milan Polytechnic, was presented.
The measure aims to provide a clear framework on the best technologies available today to modernise lighting infrastructures in the public sector, contributing to the reduction of energy consumption and emissions. In fact, the regulatory proposal aims to encourage the adoption of intelligent and digitised lighting systems, based on LED technologies, light sensors and remote management platforms, capable of integrating monitoring, automation and predictive maintenance functions.

