Modelling the performance of aero-gas turbine engine using algae-based biofuel with emission prediction
The world oil consumption is at the peak where the fuel price is insubstantial and can increase dramatically due to economic, social, and political factors and unprecedented stability. Since fuel resources are scarce, it is an urgent need to find alternative fuel. Biofuel is one of the favorable cho...
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| Format: | Proceeding Paper |
| Language: | English English |
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IOP Publishing Ltd
2019
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| Online Access: | http://irep.iium.edu.my/72401/ http://irep.iium.edu.my/72401/1/72401%20Modelling%20the%20performance%20of%20aero-gas%20turbine%20engine.pdf http://irep.iium.edu.my/72401/2/72401%20Modelling%20the%20performance%20of%20aero-gas%20turbine%20engine%20SCOPUS.pdf |
| _version_ | 1848787608672403456 |
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| author | Azami, Muhammad Hanafi Mustafa, Muhamad Zaki Savill, Mark Li, Yi-Guang |
| author_facet | Azami, Muhammad Hanafi Mustafa, Muhamad Zaki Savill, Mark Li, Yi-Guang |
| author_sort | Azami, Muhammad Hanafi |
| building | IIUM Repository |
| collection | Online Access |
| description | The world oil consumption is at the peak where the fuel price is insubstantial and can increase dramatically due to economic, social, and political factors and unprecedented stability. Since fuel resources are scarce, it is an urgent need to find alternative fuel. Biofuel is one of the favorable choices in the market. Algae-based biofuel is the fourth generation of biofuel where it does not compete with the food production and it has myriad of advantages. These abundant algae are easy to cultivate and researchers found that algae-based biofuel is capable of reducing engine emission. This paper modelled the RB211 aero-gas turbine engine by utilizing algae-based biofuel with various blended percentage ratios at different flight conditions. Cranfield's University in-house software, PYTHIA, and HEPHAESTUS are used to model the engine performance and emission prediction respectively. PYTHIA programme uses a modified Newton-Raphson convergence technique in the zero-dimensional steady-state model for both design and off-design conditions. Meanwhile, HEPHAESTUS software uses the Zeldovich equations (for NOx) and models the emission by implementing a partially-stirred reactor (PSR) model and perfectly stirred reactor (PSRS) models at different zones in the combustor. Results have shown that thrust force produced is increasing at higher blended percentage ratio of algae biofuel. Through emission analysis prediction, generally, the nitrous oxide emission formation is lower at a higher altitude during the cruising. Results also predicted that higher percentage blended ratio of algae biofuel also reduces the emission formation. |
| first_indexed | 2025-11-14T17:27:38Z |
| format | Proceeding Paper |
| id | iium-72401 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:27:38Z |
| publishDate | 2019 |
| publisher | IOP Publishing Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-724012019-05-31T01:18:23Z http://irep.iium.edu.my/72401/ Modelling the performance of aero-gas turbine engine using algae-based biofuel with emission prediction Azami, Muhammad Hanafi Mustafa, Muhamad Zaki Savill, Mark Li, Yi-Guang T Technology (General) The world oil consumption is at the peak where the fuel price is insubstantial and can increase dramatically due to economic, social, and political factors and unprecedented stability. Since fuel resources are scarce, it is an urgent need to find alternative fuel. Biofuel is one of the favorable choices in the market. Algae-based biofuel is the fourth generation of biofuel where it does not compete with the food production and it has myriad of advantages. These abundant algae are easy to cultivate and researchers found that algae-based biofuel is capable of reducing engine emission. This paper modelled the RB211 aero-gas turbine engine by utilizing algae-based biofuel with various blended percentage ratios at different flight conditions. Cranfield's University in-house software, PYTHIA, and HEPHAESTUS are used to model the engine performance and emission prediction respectively. PYTHIA programme uses a modified Newton-Raphson convergence technique in the zero-dimensional steady-state model for both design and off-design conditions. Meanwhile, HEPHAESTUS software uses the Zeldovich equations (for NOx) and models the emission by implementing a partially-stirred reactor (PSR) model and perfectly stirred reactor (PSRS) models at different zones in the combustor. Results have shown that thrust force produced is increasing at higher blended percentage ratio of algae biofuel. Through emission analysis prediction, generally, the nitrous oxide emission formation is lower at a higher altitude during the cruising. Results also predicted that higher percentage blended ratio of algae biofuel also reduces the emission formation. IOP Publishing Ltd 2019-03-20 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/72401/1/72401%20Modelling%20the%20performance%20of%20aero-gas%20turbine%20engine.pdf application/pdf en http://irep.iium.edu.my/72401/2/72401%20Modelling%20the%20performance%20of%20aero-gas%20turbine%20engine%20SCOPUS.pdf Azami, Muhammad Hanafi and Mustafa, Muhamad Zaki and Savill, Mark and Li, Yi-Guang (2019) Modelling the performance of aero-gas turbine engine using algae-based biofuel with emission prediction. In: 4th International Conference on Mechanical, Automotive and Aerospace Engineering (ICMAAE 2018), 19th-20th September 2018, Kuala Lumpur, Malaysia. https://iopscience.iop.org/article/10.1088/1757-899X/488/1/012007/pdf 10.1088/1757-899X/488/1/012007 |
| spellingShingle | T Technology (General) Azami, Muhammad Hanafi Mustafa, Muhamad Zaki Savill, Mark Li, Yi-Guang Modelling the performance of aero-gas turbine engine using algae-based biofuel with emission prediction |
| title | Modelling the performance of aero-gas turbine engine using
algae-based biofuel with emission prediction |
| title_full | Modelling the performance of aero-gas turbine engine using
algae-based biofuel with emission prediction |
| title_fullStr | Modelling the performance of aero-gas turbine engine using
algae-based biofuel with emission prediction |
| title_full_unstemmed | Modelling the performance of aero-gas turbine engine using
algae-based biofuel with emission prediction |
| title_short | Modelling the performance of aero-gas turbine engine using
algae-based biofuel with emission prediction |
| title_sort | modelling the performance of aero-gas turbine engine using
algae-based biofuel with emission prediction |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/72401/ http://irep.iium.edu.my/72401/ http://irep.iium.edu.my/72401/ http://irep.iium.edu.my/72401/1/72401%20Modelling%20the%20performance%20of%20aero-gas%20turbine%20engine.pdf http://irep.iium.edu.my/72401/2/72401%20Modelling%20the%20performance%20of%20aero-gas%20turbine%20engine%20SCOPUS.pdf |