Fault diagnosis analysis of combined cycle based on the structural theory of thermo‐economics. Issue 4 (17th February 2023)

• Record Type: Journal Article
• Authors: Ban, Ningning; Shi, Yongfeng; Zhu, Qunzhi; Fan, Chenghao
• Is Part Of: Energy science & engineering. Volume 11:Issue 4(2023)
• Page Start: 1382
• Page End: 1394
• Publication Date: 2023-02-17
• Subjects: advanced exergy analysis -- combined cycle power plant -- fault diagnosis -- structural theory -- thermo‐economic; Energy industries -- Periodicals; Energy development -- Periodicals; Power resources -- Periodicals; 621.042
• DOI: 10.1002/ese3.1397
• Languages: English
• ISSNs: 2050-0505

Abstract

Abstract: In this paper, an improved thermo‐economic diagnosis model based on the structural theory of thermo‐economics combined with advanced exergy analysis is proposed in a combined cycle fault diagnosis model. Diagnosis model simulation of a 590 MW combined cycle unit is implemented by EBSILON Professional in terms of advanced exergy analysis method. The characteristic fault value (CFV) required for diagnosis is quantitatively presented and precisely located in the diagnosis model. The results show that with 3% performance deterioration fault of the compressor, gas turbine and intermediate pressure cylinder of the turbine, gas turbine failure leads to three times fuel consumption to the unit compared to the compressor. In contrast, multiple fault diagnosis results show that the fault value generated by each component under multiple faults is not a simple superposition of a single fault. The impact of some component faults is partially offset or increased. However, the increased fuel consumption of the whole unit under multiple faults or malfunctions must be greater than the sum of the increased fuel consumption under a single fault. CFV can effectively perform precise positioning and quantitative analysis on single and multiple fault scenarios of the combined cycle unit. In addition, CFV has strong sensitivity and changes linearly with the performance deterioration of the components, which paves the way for a reliable approach for early‐stage warning and diagnosis. Abstract : In this paper, an improved thermo‐economic diagnosis model based on the structure theory of thermo‐economics, is proposed in a combined cycle system fault diagnosis model. The results show that this model can make quantitative analysis and identify either single or multiple fault location of the combined cycle unit, which paves the way for a reliable approach for early‐stage warning and diagnosis