Case Study: How the Nosedo WWTP increased hydraulic capacity thanks to digital intelligence

As the main sewage treatment plant in the Italian city of Milan, the Nosedo wastewater treatment plant serves a population equivalent of 1,250,000 and makes circular use of water. It is the largest WWTP in Europe to reuse all its effluent for agricultural purposes.

This was added to in 2019 by another equally great or even greater milestone. Since last year, the plant has implemented digital intelligence to optimise its operation. Public services company Metropolitana Milanese SpA decided to implement digitisation to increase the hydraulic capacity of the plant in times of wet weather, reduce chemicals consumption and achieve savings in the electricity bill. Besides cutting the cost per cubic meter of treated water for citizens, the decision does away with the need to make further investments to enlarge the plant. The results prove this and the hydraulic capacity of the plant will increase by between 20% and 30% during wet weather periods.

The Italian public services company has been accompanied along this new path to digitisation by Veolia Water Technologies, chosen due to the company’s profound, expert knowledge of water treatment and its experience of online facility control with AQUAVISTA™ Plant, a holistic and intelligent control program for water treatment plants. For good reasons, Veolia Water Technologies has helped hundreds of WWTPs in the digital transformation process to enable them to become connected and benefit from significant reductions in operating costs as well as increased biological and hydraulic capacity.

In addition to increasing treatment capacity and reducing operating costs, AQUAVISTA™ Plant has also improved other aspects of operation, which was a decisive factor in Metropolitana Milanese SpA’s decision to work with Veolia Water Technologies. These additional benefits include: the possibility of integrating WWTP operation and sewage network operation; an enhanced global vision of the process and greater control of variations in biological load; reduced manual intervention and lower sludge production, with consequent savings in sludge disposal costs.

Published in: FuturENVIRO #67 February 2020