| Autor: |
R. F. Swati, Naveed Ahmad, Muhammad Bilal Anwar, Momina Tariq, Liu Nairui |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 Sixth International Conference on Aerospace Science and Engineering (ICASE). |
| DOI: |
10.1109/icase48783.2019.9059241 |
| Popis: |
Prediction of Nitrous oxides (NOx) emission and development in combustion burning devices utilizing numerical simulation is significant now days because of strict legislation about environment impact of contaminated gases. This work managed consolidates approach of Computational Fluid Dynamics (CFD) and Chemical Reactor Networking (CRN) method to analyze the pollutant discharged NOx from gas turbine Ignition chamber. A 2D model was created of the gas turbine combustor utilizing design tool and CFD simulations were done by using FLUENT software and determined the data about the flow field, temperature, velocity insight the combustor by varying the equivalence ratios, using methane gas (CH4) as burning fuel. On the base of CFD data 2 CRN models were made, the first one depended on 5 PSR's CRN reactors which divided the combustor into 5 flame sections that named as primary CRN model and the second one was increased number of CRN reactors with 12 flame sections that contained 12 PSR's reactors named complex CRN model by using ANSYS CHEMKIN Software. The NOx emission prediction was simulated using methane GRI3.0 mechanism. This paper examined the CFD and CRN simulations results comparing with determined temperature and NOx of both CRN models. The predicted NOx discharge at the combustion chamber outlet from CFD and CRN were compared the available experimental values for the results validation. At the Key end determined that complex CRN model predictions of NOx showed better, efficient and accurate results with experimental values than primary CRN model in very less Computation time, even though the primary CRN model consequences showed also reasonable NOx Prediction. The four NOx Formation mechanisms were also executed for NOx creation pathway analysis and for deep understanding about NOx behavior at combustion Chamber. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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