Power facility operators are responsible for every detail of the plant, including improving power output and reducing expenses. An important strategy to achieve these critical goals is to use predictive analytics to forecast how local site ambient conditions and filter behavior will affect gas turbine performance. By monitoring these factors and collecting data in real time, predictive analytics tools and services help power facility operators understand the impact of environmental conditions, changing weather patterns and filter status on the health and performance of gas turbines. This article examines how calculating the impact of local site conditions can improve gas turbine power forecasting.
At the 2026 Turbomachinery and Pump Symposia, Engro Fertilizers’ Muhammad Uzair Javed explained how his team traced persistent high vibration to train misalignment, then moved a 100-ton turbine skid to cut vibration in half.
At the 2026 Turbomachinery and Pump Symposia, Opportune’s Dan Romito warned that grid constraints and a five-year gas turbine backlog are pushing AI data centers toward on-site power, while colleagues honored the legacy of the late Dara Childs.
At the 2026 Turbomachinery and Pump Symposia, John Crane’s Brian Kalfrin explained why volatile natural gas liquids demand custom-engineered seals, from face material selection to installation and flush rates.
The two-frame platform for two-stroke marine engines is built around a cartridge design that lets operators exchange the rotating assembly during port calls.