Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends
This study aims to assess the impact of using green fuel in place of biodiesel on the performance and exhaust emissions of air-breathing engines. GasTurb 13 is utilized to forecast the engine's performance (kingTech 180 k turbojet engine). Catalytic deoxygenation of vegetable oils produces gree...
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2024
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my.upm.eprints.1138482025-02-04T08:28:25Z http://psasir.upm.edu.my/id/eprint/113848/ Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends Abu Talib, Abd Rahim S. M. Altarazi, Yazan Yu, Jianglong Gires, Ezanee Fahmi Abdul Ghafir, Mohd Tahmasebi, Arash Yusaf, Talal Alsultan, Abdulkareem G. Yunus, Robiah This study aims to assess the impact of using green fuel in place of biodiesel on the performance and exhaust emissions of air-breathing engines. GasTurb 13 is utilized to forecast the engine's performance (kingTech 180 k turbojet engine). Catalytic deoxygenation of vegetable oils produces green diesel, offering an alternative to biodiesel. Physiochemical properties of GD blends (PME30GD20, PME20GD30, PME10GD10) were analyzed, and GasTurb-13 software predicted engine performance and emissions, validated with experimental data. The results show that GD10PME10 exhibited higher density (767.6 g/m3) than pure green fuel, while viscosity dropped by 53.85 % compared to PME. GD outperformed Jet-A1 by 0.74 % in heating value, with GD10PME10 having the highest at 42.63 MJ/kg. Engine performance measures included thrust, mass fuel flow, thrust-specific fuel consumption, and exhaust gas temperature. GD10PME10 showed a 12.5 % thrust increase and the lowest TSFC (95 g/kN.s) at 80,000 RPM compared to Jet-A1. GD20PME30 achieved the lowest EGT (550 °C) at the same RPM. Regarding emissions, GD20PME30 emitted the lowest CO (100,000 RPM, 150 ppm) and 0.5 % less CO2 (90,000 RPM) than Jet-A1. GD10PME10 produced the lowest NOx (12.5 ppm) at maximum speed, while Jet-A1 emitted the least NOx (7.5 ppm) at 120 k RPM. Overall, the data suggested that green fuel might increase the physiochemical properties of biodiesel blends, hence improving the fuel's capacity to burn more effectively in aero-engines. Elsevier Ltd 2024-12-15 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/113848/1/113848.pdf Abu Talib, Abd Rahim and S. M. Altarazi, Yazan and Yu, Jianglong and Gires, Ezanee and Fahmi Abdul Ghafir, Mohd and Tahmasebi, Arash and Yusaf, Talal and Alsultan, Abdulkareem G. and Yunus, Robiah (2024) Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends. Fuel, 378. art. no. 132860. pp. 1-13. ISSN 0016-2361; eISSN: 0016-2361 https://linkinghub.elsevier.com/retrieve/pii/S001623612402009X 10.1016/j.fuel.2024.132860 |
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This study aims to assess the impact of using green fuel in place of biodiesel on the performance and exhaust emissions of air-breathing engines. GasTurb 13 is utilized to forecast the engine's performance (kingTech 180 k turbojet engine). Catalytic deoxygenation of vegetable oils produces green diesel, offering an alternative to biodiesel. Physiochemical properties of GD blends (PME30GD20, PME20GD30, PME10GD10) were analyzed, and GasTurb-13 software predicted engine performance and emissions, validated with experimental data. The results show that GD10PME10 exhibited higher density (767.6 g/m3) than pure green fuel, while viscosity dropped by 53.85 % compared to PME. GD outperformed Jet-A1 by 0.74 % in heating value, with GD10PME10 having the highest at 42.63 MJ/kg. Engine performance measures included thrust, mass fuel flow, thrust-specific fuel consumption, and exhaust gas temperature. GD10PME10 showed a 12.5 % thrust increase and the lowest TSFC (95 g/kN.s) at 80,000 RPM compared to Jet-A1. GD20PME30 achieved the lowest EGT (550 °C) at the same RPM. Regarding emissions, GD20PME30 emitted the lowest CO (100,000 RPM, 150 ppm) and 0.5 % less CO2 (90,000 RPM) than Jet-A1. GD10PME10 produced the lowest NOx (12.5 ppm) at maximum speed, while Jet-A1 emitted the least NOx (7.5 ppm) at 120 k RPM. Overall, the data suggested that green fuel might increase the physiochemical properties of biodiesel blends, hence improving the fuel's capacity to burn more effectively in aero-engines. |
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Article |
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Abu Talib, Abd Rahim S. M. Altarazi, Yazan Yu, Jianglong Gires, Ezanee Fahmi Abdul Ghafir, Mohd Tahmasebi, Arash Yusaf, Talal Alsultan, Abdulkareem G. Yunus, Robiah |
spellingShingle |
Abu Talib, Abd Rahim S. M. Altarazi, Yazan Yu, Jianglong Gires, Ezanee Fahmi Abdul Ghafir, Mohd Tahmasebi, Arash Yusaf, Talal Alsultan, Abdulkareem G. Yunus, Robiah Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends |
author_facet |
Abu Talib, Abd Rahim S. M. Altarazi, Yazan Yu, Jianglong Gires, Ezanee Fahmi Abdul Ghafir, Mohd Tahmasebi, Arash Yusaf, Talal Alsultan, Abdulkareem G. Yunus, Robiah |
author_sort |
Abu Talib, Abd Rahim |
title |
Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends |
title_short |
Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends |
title_full |
Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends |
title_fullStr |
Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends |
title_full_unstemmed |
Modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends |
title_sort |
modelling and experimental analysis of aero-engine performance and exhaust emission characteristics fueled with green fuel blends |
publisher |
Elsevier Ltd |
publishDate |
2024 |
url |
http://psasir.upm.edu.my/id/eprint/113848/1/113848.pdf http://psasir.upm.edu.my/id/eprint/113848/ https://linkinghub.elsevier.com/retrieve/pii/S001623612402009X |
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1823276350306254848 |
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13.239859 |