Whitepapers

Closed-loop heat pumps and mechanical vapor recompression open-cycle-loop heat pumps with MVR are two long-established processes gaining greater attention as industry attempt

This article finds that comprehensive root cause failure analysis are neccasery to provide different methods to alleviate the cause of stress corrosion cracking.

Friction coefficient at the hub-shaft interface is critical to joint torque capacity. In a test program designed for a high-profile customer within the industry, several common but important hub-shaft joint configurations were tested to determine how friction can affect the torque capacity of these configurations. This paper outlines the performance results obtained within the test program.

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.

Turbomachinery couplings can indicate greater problems within equipment. Stocking the proper spares and recertifying old couplings eliminates extra downtime and delays.

Closed-loop heat pumps and mechanical vapor recompression open-cycle-loop heat pumps with MVR are two long-established processes gaining greater attention as industry attempt

This article finds that comprehensive root cause failure analysis are neccasery to provide different methods to alleviate the cause of stress corrosion cracking.

Turbomachinery couplings can indicate greater problems within equipment. Stocking the proper spares and recertifying old couplings eliminates extra downtime and delays.

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. 

By making use of the untapped potential of low-pressure steam via mechanical vapor recompression, plant operators successfully found a more energy efficient and sustainable supply of energy.

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.

By making use of the untapped potential of low-pressure steam via mechanical vapor recompression, plant operators successfully found a more energy efficient and sustainable supply of energy.

By making use of the untapped potential of low-pressure steam via mechanical vapor recompression, plant operators successfully found a more energy efficient and sustainable supply of energy.

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

Coupling recertification helps ensure that the components that power equipment stay in peak operating condition, at a fraction of replacement cost.

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

When designing ruled surface turbomachinery blades, several factors should be considered in order to achieve rapid production and high quality by flank milling.

70% of the total lifecycle costs for gas compressors come from energy consumption. Recent impeller improvements help compressors produce greater flow utilizing less power than previous designs.

The API standards are the commonly used standard in the hydrocarbon market. They establish rules for design, testing, and operation with the objective of safe and reliable operation for 20 years.

The API standards are the commonly used standard in the hydrocarbon market. They establish rules for design, testing, and operation with the objective of safe and reliable operation for 20 years.