Whitepapers

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.

Many manufacturers are unaware of hidden costs of operating their compressed air system. Could this be you? With all capital equipment purchases, the initial cost is not the only expense to consider. Often there are associated costs that are not always apparent at the time of purchase that can significantly affect operational budgets. 

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.

Many manufacturers are unaware of hidden costs of operating their compressed air system. Could this be you? With all capital equipment purchases, the initial cost is not the only expense to consider. Often there are associated costs that are not always apparent at the time of purchase that can significantly affect operational budgets. 

As energy providers help combat climate change, gas turbine manufacturers can rise to the challenge by designing cleaner and more efficient equipment. To meet ambitious energy efficiency and sustainability targets set by gas turbine manufacturers, embracing digitalization is essential. Download our executive brief to learn how building a holistic digital twin with gas turbine simulation software enables improved gas turbine designs.

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.

While gas turbine oil maintenance is recognized as being essential, many programs lack the basic tools to maintain their lubricants within specification. Existing lubricant maintenance is typically reactive in scope, uses filtration technology from 1970s and does not target the root cause of many lubricant failures: varnish

As energy providers help combat climate change, gas turbine manufacturers can rise to the challenge by designing cleaner and more efficient equipment. To meet ambitious energy efficiency and sustainability targets set by gas turbine manufacturers, embracing digitalization is essential. Download our executive brief to learn how building a holistic digital twin with gas turbine simulation software enables improved gas turbine designs.

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.

While gas turbine oil maintenance is recognized as being essential, many programs lack the basic tools to maintain their lubricants within specification. Existing lubricant maintenance is typically reactive in scope, uses filtration technology from 1970s and does not target the root cause of many lubricant failures: varnish

While gas turbine oil maintenance is recognized as being essential, many programs lack the basic tools to maintain their lubricants within specification. Existing lubricant maintenance is typically reactive in scope, uses filtration technology from 1970s and does not target the root cause of many lubricant failures: varnish