ABB is to deliver predictive maintenance solutions to Enel Green Power’s fleet of hydropower plants across Italy.
The solutions are intended to lower maintenance costs and transform the performance, reliability and energy efficiency the plants.
Under a new three-year contract, 33 of Enel Green Power’s hydroelectric plants comprising about 100 units will move from hours-based maintenance to predictive and condition-based maintenance, utilizing the ABB Ability™ Asset Performance Management solution.Kevin Kosisko, managing director of Energy Industries at ABB, said: “Predictive maintenance and asset performance management must become a key component of plant operators’ strategies to optimize maintenance operations, minimize risk, improve resilience and reduce costs. The results are more competitive electricity rates, in a more sustainable way.”
ABB and Enel Green Power have been collaborating since early last year to jointly develop and test predictive maintenance and advanced solutions through a pilot scheme on five Enel plants in Italy and Spain, including Presenzano, a 1000 MW plant near Naples.
The new contract includes digital software solutions and services that will provide analysis of over 190,000 signals and the deployment of about 800 digital asset models, aimed at improving plant operational performance, reducing unplanned failures and enabling more efficient planned maintenance practices through predictive maintenance. The integration is expected to yield savings in fleet maintenance costs and increase plant productivity.
“With personnel retirements resulting in knowledge gaps and more competitive electricity marketplaces, we believe that many power generation customers globally can benefit from this kind of digital transformation around maintenance and operations,” added Kosisko.
