AI solution to reduce CO2 emissions annually

KaXu Solar One in South Africa has a capacity of 100 MW and saves emissions up to the amount of 315’000 tons annually.

Sulzer’s BLUE BOX advanced analytics solution is on the boiler feedwater and heat transfer fluid pumps and will strengthen Atlantica’s own anomaly detection capabilities and thus increase up-time, improve reliability and eliminate operational risks of their renewable energy plants. After successful completion, Atlantica aims to implement Sulzer’s cloud-based technology in all its assets worldwide as a part of their enterprise-level digitalisation efforts. 

The latest version of Sulzer’s BLUE BOX is now capable of enhancing operational performance of pumping systems in both the short- and long-term. This includes automated flagging of anomalous operations detected and estimated remaining lifetimes as well as pro-active recommendations on actions by Sulzer experts aiming for a more targeted maintenance. 

Atlantica will benefit from a new BLUE BOX with artificial intelligence features, strengthening their own machine learning capabilities. With Sulzer’s help, Atlantica expects to generate significant cost savings and higher revenue. In addition, BLUE BOX helps understand the operational performance of the pumps, therefore providing the possibility for proposed efficiency or output gains in the future.

The new version of BLUE BOX makes use of artificial intelligence and combines statistical with physical models based on Sulzer’s expertise. By analysing real-time and historical operational data, Sulzer’s pump experts will proactively support Atlantica to make better-informed business decisions. 

The BLUE BOX by Sulzer is a set of digital enabled services, leveraging the Internet of Things for asset optimisation and real-time predictive maintenance. It uses existing pump data and machine learning to cut costs in pump operation and maintenance considerably.