System and method for gas turbine compressor cleaning

A system comprising:

• a memory configured to store instructions;
• and
• a processor configured to execute the instructions to:
• sense first operations for a first turbine system included in a fleet of turbine systems via a plurality of sensors disposed in the first turbine system before a water wash operation;
• derive a pre-wash estimated efficiency based on first data obtained during the sensing first operations;
• sense second operations for the first turbine system via the plurality of sensors after the water wash operation;
• derive a post-wash estimated efficiency based on a second data obtained during the sensing second operations;
• derive at least one forecasting model, wherein the at least one forecasting model is based on both the pre-wash estimated efficiency and the post-wash estimated efficiency for the first turbine system, wherein the at least one forecasting model is configured to predict a performance of the first turbine system;
• and
• apply the at least one forecasting model to derive a predictive improvement in the performance for the first turbine system, wherein the at least one forecasting model comprises a wash impact efficiency derived based on both the pre-wash estimated efficiency and the post-wash estimated efficiency.

A tangible, non-transitory computer-readable media storing computer instructions thereon, the computer instructions, when executed by a processor, cause the processor to:

• sense first operations for a first turbine system included in a fleet of turbine systems via a plurality of sensors disposed in the first turbine system before a water wash operation;
• derive a pre-wash estimated efficiency based on first data obtained during the sensing first operations;
• sense second operations for the first turbine system via the plurality of sensors after the water wash operation;
• derive a post-wash estimated efficiency based on a second data obtained during the sensing second operations;
• derive at least one forecasting model, wherein the at least one forecasting model is based on the pre-wash estimated efficiency and the post-wash estimated efficiency for the first turbine system, wherein the at least one forecasting model is configured to predict a performance of the first turbine system;
• and
• apply the at least one forecasting model to derive a predictive improvement in the performance for the first turbine system, wherein the at least one forecasting model comprises a wash impact efficiency derived based on both the pre-wash estimated efficiency and the post-wash estimated efficiency.