Operation and Maintenance Decision of Compressor Water Wash Based on Digital Twin

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Operation and Maintenance Decision of Compressor Water Wash Based on Digital Twin

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[1]TAN Zouqing,DU Chenyu,WAN Anping.Operation and Maintenance Decision of Compressor Water Wash Based on Digital Twin[J].Journal of Zhengzhou University (Engineering Science),2024,45(06):129-136.[doi:10.13705/j.issn.1671-6833.2024.03.013]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 45 Number of periods: 2024 06 Page number: 129-136 Column: Public date: 2024-09-25

Title:: Operation and Maintenance Decision of Compressor Water Wash Based on Digital Twin

Author(s):: TAN Zouqing¹; DU Chenyu¹; 2; WAN Anping²; 1. School of Mechanical Engineering And Rail Transit, Changzhou University, Changzhou 213164, China; 2. School of Engineering,Hangzhou City University, Hangzhou 310015, China

Keywords:: compressor; digital twin; extreme gradient boosting; offline water washing; health management

CLC:: TK39

DOI:: 10.13705/j.issn.1671-6833.2024.03.013

Abstract:: In order to improve the power generation efficiency of the gas turbine,and to solve the problem of thehigh cost of the operation and maintenance (O&M) of the compressor water washing system, a digital twin-basedO&M decision study of the compressor was conducted. And a health management framework for gas turbine in power plants based on digital twin was proposed. Based on that the compressor operation data was processed, and theextreme gradient boosting algorithm was used to build a prediction model for the washing cycle, and some of the parameters within the dataset were selected as inputs to the model, with the gas consumption as the output quantity,analyzed the change rule and its relationship with the input quantity. the water washing cycle and water washing recovery rate were calculated and compared, and the appropriate water washing cycle for O&M decision of the compressor was derived. The model prediction results showed that: the average R2_score of the eight water washing gasconsumption prediction reached 0. 98, and the prediction results were accurate. Among the eight times of waterwashing, the second and third water washing cycles were appropriate, and the third water washing recovery rate wasoptimal, resulting in the guiding hours of gas turbine compressor water washing cycle of 1 824 hours. Comparedwith the average water washing cycle of the power plant in the actual implementation, the cost of water washingcould be reduced by 21. 9 million yuan per time.

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Last Update: 2024-09-29