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Hybrid Ray Tracing Model and Particle Swarm Optimization for the Performance of an Internally Reflecting Solar Still with a Booster Reflector
Arabian Journal for Science and Engineering ( IF 2.9 ) Pub Date : 2020-10-14 , DOI: 10.1007/s13369-020-04963-z
N. U. Rehman , M. Uzair

The existing models for analyzing internally reflecting solar stills with external boosters are based on simple geometric relationships and are therefore not adequate for simulating and optimizing more complex arrangements. Therefore, this study presents a 3D hybrid ray-tracing-based model for designing and optimizing such stills. To validate the model, a geometrical arrangement was simulated, and a comparison was made with the output of a geometrical modeling package. To statistically sample a large number of solar rays to determine the irradiance received by the basin, the Latin hypercube sampling technique was used. A comparison was made with the results from a still with the same geometry but without the booster reflector. The model was then used to produce optimal optical-irradiance performance values for aspect ratio, cover angle, booster length ratio and booster angle. The effects of changing these parameters were shown using contour plots. Particle swarm optimization was then applied as an alternative method and was found to optimize the design in significantly less time.



中文翻译:

混合光线跟踪模型和粒子群优化用于带反射镜的内部反射太阳蒸馏器的性能

现有的带有外部助推器的内部反射太阳剧照分析模型基于简单的几何关系,因此不足以模拟和优化更复杂的布置。因此,本研究提出了一种基于3D混合光线跟踪的模型,用于设计和优化此类静止图像。为了验证模型,对几何排列进行了仿真,并与几何建模包的输出进行了比较。为了对大量太阳光线进行统计采样以确定该盆地接收的辐照度,使用了拉丁超立方采样技术。将具有相同几何形状但没有增强反射镜的静止图像的结果进行比较。然后,该模型用于产生宽高比,覆盖角,助力器长度比和助力器角度。使用等高线图显示了更改这些参数的效果。然后应用粒子群优化作为替代方法,发现可以在明显更少的时间内优化设计。

更新日期:2020-10-14
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