Camfil Power Systems

Articles

Hot corrosion is a source of nonrecoverable degradation in gas turbines. It is a chemical reaction among salts, sulfur, and heat, where the damages can reduce an engine’s life by up to 75%. One of the most effective methods is to eliminate the contaminants triggering the chemical reaction. This paper examines the causes of hot corrosion and assesses various methods of mitigation.

Gas Turbine Hot Corrosion: Causes, Effects, and Preventive Measures (June 2023)

Gas Turbine Hot Corrosion: Causes, Effects, and Preventive Measures (May 2023)

Gas Turbine Hot Corrosion: Causes, Effects, and Preventive Measures

Hot corrosion is a source of nonrecoverable degradation on gas turbines. It is a chemical reaction between salts, sulfur and heat, where the damages can reduce an engine’s life by up to 75%. One of the most effective methods is to eliminate the contaminants triggering the chemical reaction. This paper examines the causes of hot corrosion and assesses various methods of mitigation.

GAS TURBINE HOT CORROSION: CAUSES, EFFECTS AND PREVENTIVE MEASURES (Dec 2022)

GAS TURBINE HOT CORROSION: CAUSES, EFFECTS AND PREVENTIVE MEASURES (Nov 2022)

This article examines the impact of predictive analytics (PA) on gas turbine performance, power output, and operating costs. It shows that by monitoring these factors and collecting real-time data, PA can help power facility operators understand the influence of environmental conditions, changing weather patterns, and filter status on the health and efficiency of gas turbines.

Improve gas turbine power output using predictive analytics (Oct 2022)

Improve gas turbine power output using predictive analytics (Sept 2022)

Improve gas turbine power output using predictive analytics (August 2022)

Improve gas turbine power output using predictive analytics

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.