Camfil Power Systems

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

For the first time, there is a GT-specific filter efficiency standard. Discover how ISO29461-1 can help you select the right filters for any turbomachinery application.

For the first time, there is a GT-specific filter efficiency standard. Discover how ISO29461-1 can help you select the right filters for any turbomachinery application.

For the first time, there is a GT-specific filter efficiency standard. Discover how ISO29461-1 can help you select the right filters for any turbomachinery application.

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.

Alto Garda Cogen plant upgraded to EPA filters for their LM 6000 turbines and deliver reliable power and heating to their district

Monitoring the impact of ambient conditions on GT performance improves maintenance practices and maximizes operating profits

Monitoring the impact of ambient conditions on GT performance improves maintenance practices and maximizes operating profits

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.

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.

The Value Rating is a new gas turbine air filter classification system. Armed with this data, operators can instantly compare the impact different filters will have on the performance of their gas turbines.

As the world becomes environmentally conscious, the Power Generation and Oil and Gas industries have seen mounting pressure to find greener solutions. With a growing demand for greener practices and rising operational costs, it has become imperative for gas turbine operators to cut their carbon footprints, reduce operational costs, and become more efficient. In this whitepaper you will discover that one of the easiest, most cost-effective ways to dramatically reduce CO2 emissions is to upgrade the air intake filters on gas turbines.