Open Access

ARTICLE

Malfunction Diagnosis of the GTCC System under All Operating Conditions Based on Exergy Analysis

Xinwei Wang^1,2,*, Ming Li¹, Hankun Bing¹, Dongxing Zhang¹, Yuanshu Zhang¹

1 Steam Turbine and Gas Turbine Research Center, Huadian Electric Power Research Institute Co., Ltd., Hangzhou, 310030, China
2 College of Control Science and Engineering, Zhejiang University, Hangzhou, 310058, China

* Corresponding Author: Xinwei Wang. Email:

Energy Engineering 2024, 121(12), 3875-3898. https://doi.org/10.32604/ee.2024.056237

Received 17 July 2024; Accepted 26 September 2024; Issue published 22 November 2024

Abstract

After long-term operation, the performance of components in the GTCC system deteriorates and requires timely maintenance. Due to the inability to directly measure the degree of component malfunction, it is necessary to use advanced exergy analysis diagnosis methods to characterize the components’ health condition (degree of malfunction) through operation data of the GTCC system. The dissipative temperature is used to describe the degree of malfunction of different components in the GTCC system, and an advanced exergy analysis diagnostic method is used to establish a database of overall operating condition component malfunctions in the GTCC system. Ebsilon software is used to simulate the critical parameters of the malfunctions of the GTCC system components and to obtain the changes in the dissipative temperature of different components. Meanwhile, the fuel consumption and economic changes of the GTCC system on a characteristic power supply day under health and malfunction conditions are analyzed. Finally, the effects of maintenance costs, electricity, and gas prices on maintenance expenses and profits are analyzed. The results show that the GTCC system maintenance profit is 6.07 $/MWh, while the GTCC system maintenance expense is 5.83 $/MWh. Compared with the planned maintenance mode, the malfunction maintenance mode saves 0.24 $/MWh. Simultaneously, the maintenance coefficient of GTCC should be adjusted under different malfunctions to obtain a more accurate maintenance period.

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Keywords

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