Ndiogou Baye A, Thiam Ababacar, Mbow Cheikh, Adjibade Mohamed Izzedine S, Sambou Vincent
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.
MethodsX. 2018 Dec 17;6:43-55. doi: 10.1016/j.mex.2018.12.006. eCollection 2019.
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.
这项工作展示了间接辐射太阳能接收器的建模与优化。提出了一种腔体吸收器模块的数值模型，该模型结合了使用微元面积的净辐射法和一个计算流体力学（CFD）代码。一种带有松弛因子的迭代方法使得获取温度分布成为可能，并且所开发的代码以用户定义函数（UDF）的形式实现，并用作吸收器CFD模型中的边界条件，以模拟空气流动和热传递。接收器向流体传递热量的良好能力通过所获得的92%的热效率得到了证明。然后，克里金表面响应方法和多目标遗传算法（MOGA）的结合实现了接收器的数学优化。多目标优化使得从固定目标中获得3个给出最佳设计参数组合的候选方案成为可能。三个要点突出了该过程的定制性。• 使用微元面积的净辐射法对腔体辐射交换模型进行实际分析。• 为腔体开发的代码在ANSYS Fluent CFD模型层面的边界条件中实现，从而能够模拟吸收器内的共轭传递。• 所提出的优化方法是将用于对设计参数进行定量和定性分析的克里金表面响应方法与用于获得不同组合以寻求所选参数最大化或最小化的MOGA相结合。
