Articles by Camfil Power Systems
Gas turbines draw enormous volumes of air and the contaminants air carries—sand, dust, salt, and moisture. These elements corrode internal metal parts, and lead to unplanned outages. Because ambient conditions vary widely from one location to another, a filtration approach suited to one site can fail at another, producing pressure differential spikes and lost output. This eBook brings together filtration and rotating-equipment insights to explain why intake filtration must be matched to each site's environment. It examines Life Cycle Cost (LCC) analysis, coalescers, cartridge filters, findings from MTRs (mobile test rigs) deployed across four global environments, and the capital expenditure (CapEx) trade-offs of refurbishing versus replacing aging gas turbines. It also highlights how fouling, degradation, and the surge curve affect turbocompressor efficiency and reliability.
Power Augmentation Strategies for Turbomachinery Performance
In this paper, Alex Wells, Regional Product Manager at Camfil Power Systems, explores how optimizing air inlet conditions can unlock significant, yet often overlooked, power gains in gas turbines. From high-efficiency filtration upgrades to advanced cooling strategies like evaporative systems and chiller coils, this discussion breaks down how operators can recover lost megawatts, improve efficiency, and reduce operating costs. Backed by real-world data and global climate insights, this podcast highlights practical solutions to boost performance without major turbine modifications.
In this episode, Alex Wells, Regional Product Manager at Camfil Power Systems, explores how optimizing air inlet conditions can unlock significant, yet often overlooked, power gains in gas turbines. From high-efficiency filtration upgrades to advanced cooling strategies like evaporative systems and chiller coils, this discussion breaks down how operators can recover lost megawatts, improve efficiency, and reduce operating costs. Backed by real-world data and global climate insights, this podcast highlights practical solutions to boost performance without major turbine modifications.
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.
