Modeling and optimization method of an indirectly irradiated solar receiver.

Air solar receiver CFD modeling CSP Coupling net-radiation method using infinitesimals areas and CFD code an Coupling of the Kriging surface response method and the MOGA MOGA Net-radiation method Response Surface Method optimization

Journal

MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829

Informations de publication

Date de publication:
2019
Historique:
received: 11 10 2018
accepted: 12 12 2018
entrez: 1 1 2019
pubmed: 1 1 2019
medline: 1 1 2019
Statut: epublish

Résumé

This work presents the modeling and optimization of an indirectly irradiated solar receiver. A numerical model of the cavity-absorber block is put forward with the coupling of the net-radiation method using infinitesimal areas and a CFD code. An iterative method with a relaxation factor made it possible to obtain the temperature distribution and the developed code was implemented in the form of UDF and used as boundary conditions in the CFD model of the absorber to simulate the flow of air and heat transfer. The good ability of the receiver to transfer heat to the fluid is proved with a 92% thermal efficiency obtained. Then the combination of the Kriging surface response method and the MOGA allowed the mathematical optimization of the receiver. The multi-objective optimization made it possible to obtain 3 candidates giving the best combinations of design parameters from the fixed objectives. Three bullet points, highlighting the customization of the procedure. •A practical analysis using the net-radiation method using infinitesimal areas is applied for cavity radiative exchange model.•The code developed for the cavity is implemented in the boundary conditions at the level of the ANSYS Fluent CFD model allowing the simulation of the conjugated transfers within the absorber.•The optimization method proposed is the combination of the Kriging surface response method for quantitative and qualitative analysis of the design parameters and MOGA to obtain different combinations seeking to maximize or to minimize the chosen parameters.

Identifiants

pubmed: 30596028
doi: 10.1016/j.mex.2018.12.006
pii: S2215-0161(18)30209-7
pmc: PMC6308248
doi:

Types de publication

Journal Article

Langues

eng

Pagination

43-55

Auteurs

Baye A Ndiogou (BA)

Laboratoire d'Energétique Appliquée, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop de Dakar, PO:5085, Dakar-Fann, Senegal.

Ababacar Thiam (A)

Laboratoire d'Energétique Appliquée, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop de Dakar, PO:5085, Dakar-Fann, Senegal.
Departement de Physique, Université Alioune Diop de Bambey, Senegal.

Cheikh Mbow (C)

Faculté des Sciences et Techniques, Université Cheikh Anta Diop de Dakar, Senegal.

Mohamed Izzedine S Adjibade (MIS)

Laboratoire d'Energétique Appliquée, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop de Dakar, PO:5085, Dakar-Fann, Senegal.

Vincent Sambou (V)

Laboratoire d'Energétique Appliquée, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop de Dakar, PO:5085, Dakar-Fann, Senegal.

Classifications MeSH