Enel employs predictive analytics to remotely monitor power plants


Italian multinational energy company Enel is to use AVEVA’s predictive asset analytics solution to remotely monitor 21 thermal power plants across Europe and South America with a total capacity of 18.5GW.

AVEVA’s software will provide early warning notification of potential future equipment issues.

“Optimising asset performance is critical to maintaining profitability, especially given the challenge of operating within highly dynamic environments,” said Kim Custeau, asset performance business lead at AVEVA, which is headquartered in Cambridge, England.

“We support our customers as they embark on their digital transformation journey, focusing on improvement areas that will have a positive impact to their business.”

Custeau added that as urbanisation increases, an additional 2.5 billion people are predicted to live in urban areas by 2050, cities and suburbs must undergo a significant transformation to create sustainable living conditions for their residents.

“Energy is a key pillar of this transformation, as energy companies seek to meet demographic and economic growth expectations in an environmental friendly way. Electricity and gas companies can enhance efficiency and performance from existing capital investments by improving asset performance, made possible in part by the Industrial Internet of Things.

With more electricity and gas companies looking to enhance efficiency and performance through technology, this partnership is intended to help Enel achieve its goals of increasing demographic and economic growth expectations in an environmentally-conscious way.