Three Shaft Industrial Gas Turbine Transient Performance Analysis
The power demand from gas turbines in electrical grids is becoming more dynamic due to the rising demand for power generation from renewable energy sources. Therefore, including the transient data in the fault diagnostic process is important when the steady-state data are limited and if some compone...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/4/1767 |
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| author | Waleligne Molla Salilew Zainal Ambri Abdul Karim Tamiru Alemu Lemma Amare Desalegn Fentaye Konstantinos G. Kyprianidis |
| author_facet | Waleligne Molla Salilew Zainal Ambri Abdul Karim Tamiru Alemu Lemma Amare Desalegn Fentaye Konstantinos G. Kyprianidis |
| author_sort | Waleligne Molla Salilew |
| collection | DOAJ |
| description | The power demand from gas turbines in electrical grids is becoming more dynamic due to the rising demand for power generation from renewable energy sources. Therefore, including the transient data in the fault diagnostic process is important when the steady-state data are limited and if some component faults are more observable in the transient condition than in the steady-state condition. This study analyses the transient behaviour of a three-shaft industrial gas turbine engine in clean and degraded conditions with consideration of the secondary air system and variable inlet guide vane effects. Different gas path faults are simulated to demonstrate how magnified the transient measurement deviations are compared with the steady-state measurement deviations. The results show that some of the key measurement deviations are considerably higher in the transient mode than in the steady state. This confirms the importance of considering transient measurements for early fault detection and more accurate diagnostic solutions. |
| first_indexed | 2024-03-11T08:12:03Z |
| format | Article |
| id | doaj.art-a67e140f1ea84c2abce0ce62f6c5b9ae |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T08:12:03Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a67e140f1ea84c2abce0ce62f6c5b9ae2023-11-16T23:05:51ZengMDPI AGSensors1424-82202023-02-01234176710.3390/s23041767Three Shaft Industrial Gas Turbine Transient Performance AnalysisWaleligne Molla Salilew0Zainal Ambri Abdul Karim1Tamiru Alemu Lemma2Amare Desalegn Fentaye3Konstantinos G. Kyprianidis4Mechanical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaMechanical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaMechanical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaSchool of Business, Society and Engineering, Mälardalen University, SE-72123 Västerås, SwedenSchool of Business, Society and Engineering, Mälardalen University, SE-72123 Västerås, SwedenThe power demand from gas turbines in electrical grids is becoming more dynamic due to the rising demand for power generation from renewable energy sources. Therefore, including the transient data in the fault diagnostic process is important when the steady-state data are limited and if some component faults are more observable in the transient condition than in the steady-state condition. This study analyses the transient behaviour of a three-shaft industrial gas turbine engine in clean and degraded conditions with consideration of the secondary air system and variable inlet guide vane effects. Different gas path faults are simulated to demonstrate how magnified the transient measurement deviations are compared with the steady-state measurement deviations. The results show that some of the key measurement deviations are considerably higher in the transient mode than in the steady state. This confirms the importance of considering transient measurements for early fault detection and more accurate diagnostic solutions.https://www.mdpi.com/1424-8220/23/4/1767gas turbinedesign pointoff-designperformancetransientfouling |
| spellingShingle | Waleligne Molla Salilew Zainal Ambri Abdul Karim Tamiru Alemu Lemma Amare Desalegn Fentaye Konstantinos G. Kyprianidis Three Shaft Industrial Gas Turbine Transient Performance Analysis Sensors gas turbine design point off-design performance transient fouling |
| title | Three Shaft Industrial Gas Turbine Transient Performance Analysis |
| title_full | Three Shaft Industrial Gas Turbine Transient Performance Analysis |
| title_fullStr | Three Shaft Industrial Gas Turbine Transient Performance Analysis |
| title_full_unstemmed | Three Shaft Industrial Gas Turbine Transient Performance Analysis |
| title_short | Three Shaft Industrial Gas Turbine Transient Performance Analysis |
| title_sort | three shaft industrial gas turbine transient performance analysis |
| topic | gas turbine design point off-design performance transient fouling |
| url | https://www.mdpi.com/1424-8220/23/4/1767 |
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