A strategy for the robust forecasting of gas turbine health subjected to fouling
Fouling represents a major problem for Gas Turbines (GTs) in both heavy-duty and aero-propulsion applications. Solid particles entering the engine can stick to the internal surfaces and form deposits. Components' lifetime and performance can dramatically vary as a consequence of this phenomenon...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/88/e3sconf_ati2021_11002.pdf |
| _version_ | 1818681419037147136 |
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| author | Aldi Nicola Casari Nicola Fadiga Ettore Friso Riccardo Oliani Stefano Pinelli Michele Spina Pier Ruggero Suman Alessio Vulpio Alessandro |
| author_facet | Aldi Nicola Casari Nicola Fadiga Ettore Friso Riccardo Oliani Stefano Pinelli Michele Spina Pier Ruggero Suman Alessio Vulpio Alessandro |
| author_sort | Aldi Nicola |
| collection | DOAJ |
| description | Fouling represents a major problem for Gas Turbines (GTs) in both heavy-duty and aero-propulsion applications. Solid particles entering the engine can stick to the internal surfaces and form deposits. Components' lifetime and performance can dramatically vary as a consequence of this phenomenon. These effects impact the whole engine in terms of residual life, operating stability, and maintenance costs. In the High-Pressure Turbine (HPT), in particular, the high temperatures soft the particles and promote their adhesion, especially in the short term. Unfortunately, predicting the GT response to this detrimental issue is still an open problem for scientists. Furthermore, the stochastic variations of the components operating conditions increase the uncertainty of the forecasting results. In this work, a strategy to predict the effects of turbine fouling on the whole engine is proposed. A stationary Gas Path Analysis (GPA) has been performed for this scope to predict the GT health parameters. Their alteration as a consequence of fouling has been evaluated by scaling the turbine map. The scaling factor has been found by performing Computational Fluid Dynamic (CFD) simulations of a HPT nozzle with particle injection. Being its operating conditions strongly uncertain, a stochastic analysis has been conducted. The uncertainty sources considered are the circumferential hot core location and the turbulence level at the inlet. The study enables to build of confidence intervals on the GT health parameters predictions and represents a step forward towards a robust forecasting tool. |
| first_indexed | 2024-12-17T10:02:39Z |
| format | Article |
| id | doaj.art-8b1852134426415fb44ad9e24e2d6a93 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T10:02:39Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-8b1852134426415fb44ad9e24e2d6a932022-12-21T21:53:14ZengEDP SciencesE3S Web of Conferences2267-12422021-01-013121100210.1051/e3sconf/202131211002e3sconf_ati2021_11002A strategy for the robust forecasting of gas turbine health subjected to foulingAldi NicolaCasari NicolaFadiga EttoreFriso RiccardoOliani StefanoPinelli MicheleSpina Pier RuggeroSuman AlessioVulpio AlessandroFouling represents a major problem for Gas Turbines (GTs) in both heavy-duty and aero-propulsion applications. Solid particles entering the engine can stick to the internal surfaces and form deposits. Components' lifetime and performance can dramatically vary as a consequence of this phenomenon. These effects impact the whole engine in terms of residual life, operating stability, and maintenance costs. In the High-Pressure Turbine (HPT), in particular, the high temperatures soft the particles and promote their adhesion, especially in the short term. Unfortunately, predicting the GT response to this detrimental issue is still an open problem for scientists. Furthermore, the stochastic variations of the components operating conditions increase the uncertainty of the forecasting results. In this work, a strategy to predict the effects of turbine fouling on the whole engine is proposed. A stationary Gas Path Analysis (GPA) has been performed for this scope to predict the GT health parameters. Their alteration as a consequence of fouling has been evaluated by scaling the turbine map. The scaling factor has been found by performing Computational Fluid Dynamic (CFD) simulations of a HPT nozzle with particle injection. Being its operating conditions strongly uncertain, a stochastic analysis has been conducted. The uncertainty sources considered are the circumferential hot core location and the turbulence level at the inlet. The study enables to build of confidence intervals on the GT health parameters predictions and represents a step forward towards a robust forecasting tool.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/88/e3sconf_ati2021_11002.pdf |
| spellingShingle | Aldi Nicola Casari Nicola Fadiga Ettore Friso Riccardo Oliani Stefano Pinelli Michele Spina Pier Ruggero Suman Alessio Vulpio Alessandro A strategy for the robust forecasting of gas turbine health subjected to fouling E3S Web of Conferences |
| title | A strategy for the robust forecasting of gas turbine health subjected to fouling |
| title_full | A strategy for the robust forecasting of gas turbine health subjected to fouling |
| title_fullStr | A strategy for the robust forecasting of gas turbine health subjected to fouling |
| title_full_unstemmed | A strategy for the robust forecasting of gas turbine health subjected to fouling |
| title_short | A strategy for the robust forecasting of gas turbine health subjected to fouling |
| title_sort | strategy for the robust forecasting of gas turbine health subjected to fouling |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/88/e3sconf_ati2021_11002.pdf |
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