How to 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.
CO2 Compressor Solutions for Carbon Reduction Initiatives
December 23rd 2024In this paper, we will explore the multifaceted challenges associated with handling CO2, the advanced technologies within Mitsubishi Heavy Industry Compressor’s growing portfolio and how our expertise is driving the transition towards a carbon-neutral society.
