Modelling adiabatic flame temperature for methane with an overview for advanced combustion process: flameless combustion
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Anis Imakhlaf
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Abdelhadi Beghidja
Abstract
In this study, we have carried out to modeling by mathematical equations the environment of the combustion chamber under some conditions using the software MATLAB in order to make an adequate algorithm of resolution and get solution of the different equations that taken part in the phenomenon of combustion, so the first was to identifies the kind of the fuel to use in that model (taking Methane as fuel combustion) and minimizing the reduction of novice gas burned is in priority, for this, we want to establish the optimal values to take to preserve the environment, especially from CO2 and CO emissions, secondly, its nature according to the equivalent ratio (lean, stoichiometric or rich mixture), all variations of equivalent ratio, the third idea is to retrace the ways of a different product of the reaction and see their variations compared to the equivalent ratio, once traced, we can improvise which exact place in the reaction, a product will be finished either in the form of a gas or to decompose in order to bind to another and form another component. We also discussed the percentage of O2 and H2O emissions for an interesting viewpoint of the environmental aspect of hydrocarbon’s chemical reaction. Another additional part will be dedicated to the process of flameless combustion to write its mathematical equation, compare it with the so-called traditional one, and see the variations in the temperature according to the equivalent ratio.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Hosseini, SE, Barzegaravval, H, Bruce, C, Wahid, MA. Hybrid solar flameless combustion system: modeling and thermodynamic analysis. Energy Convers Manag 2018;166:146–55. https://doi.org/10.1016/j.enconman.2018.04.012.Suche in Google Scholar
2. Köten, H. Comparison of various combustion models within a multidimensional framework applied to heavy duty CI engine [MSc thesis]. Turkey: Marmara Üniversitesi; 2009.Suche in Google Scholar
3. Unal, F, Temir, G, Koten, H. Energy, exergy and exergoeconomic analysis of solar-assisted vertical ground source heat pump system for heating season. J Mech Sci Technol 2018;32:3929–42. https://doi.org/10.1007/s12206-018-0744-1.Suche in Google Scholar
4. Köten, H. Advanced numerical and experimental studies on ci engine emissions. J Therm Eng 2018;4:2234–47. https://doi.org/10.18186/journal-of-thermal-engineering.434044.Suche in Google Scholar
5. Osuna, R, Fernandez, V, Romero, MBlanco, M, Blanco M. PS10: a 10 MW solar thermal power plant for southern Spain. In: Proceedings of 10th Solar PACES conference, Sydney, Australia; 2000:37–78 pp.Suche in Google Scholar
6. Solúcar, Inabensa, Fichtner, Ciemat, DLR. Final technical progress report: 10 MW solar thermal power plant for Southern Spain. Rapp Tech; 2006.Suche in Google Scholar
7. Mustafa, M, Abdelhadyet, S, Elweteedy, A. Analytical study of an innovated solar power tower (PS10) in Aswan. Int J Energy Eng 2012;2:273–8.10.5923/j.ijee.20120206.01Suche in Google Scholar
8. Santos, MJ, Miguel-Barbero, C, Merchan, RP, Medina, A, Calvo Hernandez, A. Roads to improve the performance of hybrid thermosolar gas turbine power plants: working fluids and multi-stage configurations. Energy Convers Manag 2018;165:578–92. https://doi.org/10.1016/j.enconman.2018.03.084.Suche in Google Scholar
9. Merchan, RP, Santos, MJ, Medina, A, Calvo Hernandez, A. Thermodynamic model of a hybrid thermosolar plant. Renew Energy 2017;1–11.10.1016/j.renene.2017.05.081Suche in Google Scholar
10. Olivenza-Leon, D, Medina, A, Calvo Hernandez, A. Thermodynamic modeling of an hybrid solar gas- turbine power plant. Energy Convers Manag 2015;93:435–47. https://doi.org/10.1016/j.enconman.2015.01.027.Suche in Google Scholar
11. Santos, MJ, Merchan, RP, Medina, A, Calvo Hernandez, A. Seasonal thermodynamic prediction of the performance of a hybridsolar gas-turbine power plant. Energy Convers Manag 2016;115:89–102. https://doi.org/10.1016/j.enconman.2016.02.019.Suche in Google Scholar
12. Meriche, IE, Baghidja, A, Boukelia, TE. Design and performance evaluation of solar gas turbine power plant in South Western Algeria. Int J Renew Energy Resour 2014;4:224–32.10.1109/IREC.2014.6826902Suche in Google Scholar
13. Duffie, JA, Beckman, WA. Solar engineering of thermal processes, 4th ed. Hoboken, NJ, USA: John Wiley & Sons, Inc.; 2004:928 p.Suche in Google Scholar
14. Merchan, RP, Santos, MJ, Reyes-Ramirez, I, Medina, A, Calvo Hernandez, A. Modeling hybrid solar gas-turbine power plants: thermodynamic projection of annual performance and emission. Energy Convers Manag 2017;134:314–26. https://doi.org/10.1016/j.enconman.2016.12.044.Suche in Google Scholar
15. Law, CK. Combustion physics. Cambridge, UK: Cambridge University Press; 2006:742 p.10.1017/CBO9780511754517Suche in Google Scholar
16. Pitz-Paal, R, Bayer Botero, N, Steinfeld, A. Heliostat field layout optimization for high-temperature solar thermochemical processing. Sol Energy 2011;85:334–43. https://doi.org/10.1016/j.solener.2010.11.018.Suche in Google Scholar
17. Moran, MJ, Shapiro, HN. Fundamentals of Engineering thermodynamics, 5th ed. West Sussex, England: John Wiley & Sons, Inc.; 2006:847 p.Suche in Google Scholar
18. Yamani, N, Abdallah, K, Mohammedi, K, Behar, O. Assessment of solar thermal tower technology under Algerian climate. Energy 2017;126:444–60. https://doi.org/10.1016/j.energy.2017.03.022.Suche in Google Scholar
19. Li, C, Zhai, R, Yang, Y. Optimization of a heliostat field layout on annual basis using a hybrid algorithm combining particle swarm optimization algorithm and genetic algorithm. Energies 2017:1–15.10.3390/en10111924Suche in Google Scholar
20. Wei, X, Lu, Z. A new method for the design of the heliostat field layout for solar tower power plant. Renew Energy 2010;35:1970–5. https://doi.org/10.1016/j.renene.2010.01.026.Suche in Google Scholar
21. Wei, XD, Lu, ZW, Lin, Z. Optimization procedure for design of heliostat field layout of a 1 MWe solar tower thermal power plant. In Proceedings of the SPI; 2007, vol 6841:684119–2 pp. https://doi.org/10.1117/12.755285.Suche in Google Scholar
22. Kribus, A, Ries, H, Spirkl, W. Inherent limitations of volumetric solar receivers. J Sol Energy Eng 1996;118:151–5.10.1115/1.2870891Suche in Google Scholar
23. Hosseini, SE, Barzegaravval, H, Bruce, C, Abdul Wahid, M. Hybrid solar flameless combustion system: modeling and thermodynamic analysis. Energy Convers Manag 2018;166:146–55. https://doi.org/10.1016/j.enconman.2018.04.012.Suche in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Three-phase modeling and optimization of benzene alkylation in commercial catalytic reactors
- Control of negative gain nonlinear processes using sliding mode controllers with modified Nelder-Mead tuning equations
- Novel control strategy for non-minimum-phase unstable second order systems: generalised predictor based approach
- Modelling adiabatic flame temperature for methane with an overview for advanced combustion process: flameless combustion
- Evaluation the effect of the ambient temperature on the liquid petroleum gas transportation pipeline
- Performance of molecular dynamics simulation for predicting of solvation free energy of neutral solutes in methanol
- Reviews
- Phase equilibria modeling of biorefinery-related systems: a systematic review
- On the drag force closures for multiphase flow modeling
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Three-phase modeling and optimization of benzene alkylation in commercial catalytic reactors
- Control of negative gain nonlinear processes using sliding mode controllers with modified Nelder-Mead tuning equations
- Novel control strategy for non-minimum-phase unstable second order systems: generalised predictor based approach
- Modelling adiabatic flame temperature for methane with an overview for advanced combustion process: flameless combustion
- Evaluation the effect of the ambient temperature on the liquid petroleum gas transportation pipeline
- Performance of molecular dynamics simulation for predicting of solvation free energy of neutral solutes in methanol
- Reviews
- Phase equilibria modeling of biorefinery-related systems: a systematic review
- On the drag force closures for multiphase flow modeling
