Kalmar, part of Cargotec, will supply nine Rubber-Tyred Gantry Cranes (RTGs) to the Port of Itaguaí in a new agreement with terminal operator Sepetiba Tecon.
The agreement with Companhia Siderúrgica Nacional for the supply for the RTGs will see the cranes delivered to the terminal in Rio de Janeiro, Brazil. Delivery is scheduled to be completed in Q1 2022.
The Kalmar RTG combines diesel and electric technology for fuel savings, low emissions and easy maintenance. The units delivered to Sepetiba Tecon will be configured to handle 6+1 wide with 1-over-6 high stacking and will have a lifting capacity of 40 tonnes under the spreader.
To ensure greater fuel economy and lower emissions, the cranes will include a Variable Speed Generator system, automatically optimising RPMs according to the required power, fully-electric Bromma spreaders and large tyres that enable minimal ground pressure.
Troy Thompson, Vice President of Sales at Kalmar Americas, commented: “We are delighted that Sepetiba Tecon chose us to support their ambitious expansion plans, and we are looking forward to establishing a long-term partnership with them.
“Our proven and reliable equipment, combined with the service capabilities we offer, help customers improve their operational performance as they develop their operations to meet the demands of the future.”
The RTGs will be fitted with Kalmar SmartRail® automated gantry steering system that automatically controls the gantry within centimetre grade accuracy on the travelling path, improving the terminal’s operational efficiency.
The cranes will also be equipped with SmartRail CPI® (Container Position Indication) system, a real-time tool to track and report container moves.
Sepetiba Tecon S.A. is located in the Port of Itaguaí, some 80 kilometres from the city of Rio Janeiro. One of Brazil’s major container terminals, it offers customers rail and sea connections at the convergence point of Brazil’s main highways.
The order, booked in Cargotec’s 2020 Q4 intake, includes Kalmar’s SmartPort operator assistance feature.