Electrify Europe 2018

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Increasing Reliability, Availability and Maintainability of Advanced Class Gas Turbine by Incorporating state-of-the-Art Automation and AI (Room Lehar 2)

The penetration of renewable power around the world has increased the focus on reliable gas turbines to ensure smooth power transition between the different generating sources to maintain the stability of the respective grids. The reliability of newly designed power generation equipment is highly dependent on their original design, but it can be considerably complemented by the development and implementation of digital enhancements. Strategic Power Systems (SPS) is a world class data gathering and analysis company that collects and processes operational data from several thousand gas turbines across the globe. The data is directly collected from numerous operating companies participating in the ORAP program and it is used to calculate Reliability, Availability and Maintainability (RAM) statistics of each participating plant and the corresponding fleets. Their stringent analysis imposes mathematical & statistical requirements such as minimum statistical population size, continuity of the data, inclusion of every unit of the population, etc. The ORAP fleet includes Mitsubishi Hitachi Power Systems (MHPS) Advanced Class Gas Turbines (ACGT). SPS assessment of the MHPS fleet started in 2009 and has consistently shown superior 5 year moving average reliability values in excess of 99%. This paper describes the fundamental design criteria enabling MHPS ACGTs exhibit the best Advanced Class GT RAM statistics and introduces several state-of-the-art automation and AI enhancements that will further increase the reliability and flexibility of the current advanced gas turbines.