Since its inception the gas turbine market has been driven by an emphasis on improved operating efficiency, greater megawatt output, with reduced environmental impact through technology advancement. The technology advances that have taken place include; higher firing temperatures and pressure ratios, improved cooling schemes with advanced metallurgy and coatings for hot gas path parts, consideration for tighter clearances, low emissions combustion systems, and fuels flexibility. Contemporaneously, there has been a commensurate focus on ensuring that the achievable levels of availability and reliability of these evolving product offerings would be optimized for various duty cycles, applications, and plant arrangements. In fact, as product evolution and advancement has taken place, there has been an expectation that availability and reliability performance would be consistent with the best achievable levels experienced by existing and more mature technologies. The purpose of this paper is to address the industry focus on availability and reliability (from EPRI to DOE), and to discuss the current and historical availability and reliability performance of gas turbines based on class; specifically “E” and “F” class. Additionally, this paper will also address the positive impact that “remote monitoring” has had; through the automation and computation of availability and reliability metrics. “Remote monitoring” has been introduced to provide an extra level of protection and diagnostic capability; providing an emphasis on performance, operability, and availability of the power generation equipment. The fact that “remote monitoring” has facilitated rapid data acquisition has had a positive impact on the calculation of availability and reliability metrics, making them more timely and accurate. This important point will also be discussed. With the permission of Mitsubishi Power Systems America (MPSA), specific data for the M501F fleet is presented. These comparisons will assist in establishing benchmarks for equipment performance based on duty cycle and other meaningful segmentations. Data available from SPS’s ORAP® (Operational Reliability Analysis Program) and other industry sources will be used to provide valid references for consideration.

This content is only available via PDF.
You do not currently have access to this content.