Multi-objective optimization of micro planar combustor with tube outlet by RSM and NSGA-II for thermophotovoltaic applications

Zuo, W; Li, F; Li, Q; Chen, Z; Huang, Y; Chu, H

Multi-objective optimization of micro planar combustor with tube outlet by RSM and NSGA-II for thermophotovoltaic applications

Zuo, W Li, F Li, Q Chen, Z Huang, Y

Chu, H

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Energy, 2024, 291
Issue Date:: 2024-03-15

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Field	Value	Language
dc.contributor.author	Zuo, W
dc.contributor.author	Li, F
dc.contributor.author	Li, Q
dc.contributor.author	Chen, Z
dc.contributor.author	Huang, Y https://orcid.org/0000-0001-9800-8788
dc.contributor.author	Chu, H
dc.date.accessioned	2024-05-22T05:18:58Z
dc.date.available	2024-05-22T05:18:58Z
dc.date.issued	2024-03-15
dc.identifier.citation	Energy, 2024, 291
dc.identifier.issn	0360-5442
dc.identifier.issn	1873-6785
dc.identifier.uri	http://hdl.handle.net/10453/179136
dc.description.abstract	The pressure loss (Δp), output power (Qtot) and system efficiency (ηMTPV) are the most important performance parameters of micro combustor for thermophotovoltaic applications. However, the above performance paremetres are conflicted in the optimization of micro planar combustor with tube outlet for thermophotovoltaic applications. In this work, RSM (Response Surface Methodology) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) is combined to make a trade-off among the above performance parameters. With the inlet velocity (vin) and equivalence ratio (φ), tube length (L9), tube diameter (D) and tube distance (L10) selected as design variables, central composite design is used to arrange simulation cases. The regression model about Δp is quadratic, while the regression models about Qtot and ηMTPV are linear. Then, the significance of each term in the regression models is determined and arranged by variance (ANOVA). Fianlly, according to the Pareto optimal solution obtained from NSGA-II, the optimal values of the objective function are Δp = 977.87 Pa, Qtot = 6.59 W and ηMTPV = 2.72 %, and the corresponding design variables are vin = 7.09 m/s, φ = 0.99, L9 = 6.71 mm, D = 1.75 mm and L10 = 3.97 mm, respectively.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation	http://purl.org/au-research/grants/arc/DE220100552
dc.relation.ispartof	Energy
dc.relation.isbasedon	10.1016/j.energy.2024.130396
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0913 Mechanical Engineering, 0914 Resources Engineering and Extractive Metallurgy, 0915 Interdisciplinary Engineering
dc.subject.classification	Energy
dc.subject.classification	4008 Electrical engineering
dc.subject.classification	4012 Fluid mechanics and thermal engineering
dc.subject.classification	4017 Mechanical engineering
dc.title	Multi-objective optimization of micro planar combustor with tube outlet by RSM and NSGA-II for thermophotovoltaic applications
dc.type	Journal Article
utslib.citation.volume	291
utslib.for	0913 Mechanical Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/Strength - CGT - Centre for Green Technology
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2026-01-01T00:00:00+1000Z
dc.date.updated	2024-05-22T05:18:57Z
pubs.publication-status	Published
pubs.volume	291

Abstract:

The pressure loss (Δp), output power (Qtot) and system efficiency (ηMTPV) are the most important performance parameters of micro combustor for thermophotovoltaic applications. However, the above performance paremetres are conflicted in the optimization of micro planar combustor with tube outlet for thermophotovoltaic applications. In this work, RSM (Response Surface Methodology) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) is combined to make a trade-off among the above performance parameters. With the inlet velocity (vin) and equivalence ratio (φ), tube length (L9), tube diameter (D) and tube distance (L10) selected as design variables, central composite design is used to arrange simulation cases. The regression model about Δp is quadratic, while the regression models about Qtot and ηMTPV are linear. Then, the significance of each term in the regression models is determined and arranged by variance (ANOVA). Fianlly, according to the Pareto optimal solution obtained from NSGA-II, the optimal values of the objective function are Δp = 977.87 Pa, Qtot = 6.59 W and ηMTPV = 2.72 %, and the corresponding design variables are vin = 7.09 m/s, φ = 0.99, L9 = 6.71 mm, D = 1.75 mm and L10 = 3.97 mm, respectively.

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http://hdl.handle.net/10453/179136