具有平板吸收器的固定式复合抛物面聚光器的设计程序,可实现全年有效性能——响应面法和Tracepro作为工具

Prabhat Bhuddha Dev S , Swaminathan Ganapathiraman , Premalatha Manikam
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摘要

具有低浓度比(C<;2)的固定式复合抛物面集中器(CPC)适用于工业应用中的预热过程。报道的文献没有分析全年的可用辐射或太阳角,以设计能够提供最大年能量的CPC。本文优化了CPC的设计因素,如接受半角(θa)和截断比(TR),以在一年内产生最大的能量,最大限度地提高光学效率,并最大限度地减少反射器材料。本研究考虑了印度塔米尔纳杜蒂鲁奇拉帕利地区的年辐射数据(ξ-10°45′36〃N)。对原始辐射数据进行处理以获得月平均日数据,该数据用作TracePro v21.1的输入。实验设计(DOE)采用响应面法(RSM),考虑了θa-18.5至28.5°和TR-0.5至1.0的因素。基于RSM给出的参数组合,使用Solidworks创建了九个几何模型,并使用TracePro进行模拟,以估计年度能量收集和平均光学效率。使用TracePro分析,按月计算和报告能量收集。此外,还得到了一个将θa和TR与年收集能量联系起来的模型。根据多目标优化的结果,在不截断的情况下,最佳浓度比为2,θa为28.5°。结果还表明,与其他设计相比,优化设计在一年中收集的平均能量的偏差较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Design procedure of stationary compound parabolic concentrator with flat plate absorber for effective year-round performance – Response Surface Methodology and Tracepro as tools

The stationary Compound Parabolic Concentrators (CPC) with a low concentration ratio (C<2) are suitable for pre-heating processes in industrial applications. The reported literature does not analyze the radiation available or the solar angles for whole year towards design of CPC which could provide maximum annual energy. This paper optimizes the design factors of CPC, such as acceptance half-angle (θa) and truncation ratio (TR), to yield maximum energy around the year, maximize optical efficiency and minimize reflector material. Annual irradiation data for the location - Tiruchirappalli, Tamilnadu, India (ϕ- 10°45′36″ N) is considered for the present study. The raw irradiation data is processed to get monthly average daily data, which is used as input for the TracePro v21.1. The experimental design (DOE) is made in response surface methodology (RSM) by considering the factors of θa - 18.5 to 28.5° and TR - 0.5 to 1.0. Nine Geometric models were created using Solidworks based on the combination of parameters given by RSM and simulated using TracePro to estimate the annual energy collection and average optical efficiency. Using the TracePro analysis month wise energy collection is calculated and reported. Further, a model relating θa and TR to the annual energy collected was obtained. According to the results obtained from the multi-objective optimization, the optimum concentration ratio is 2 with the θa of 28.5° without truncation. The results also indicate that the deviation from the average energy collected by the optimized design over the year is less when compared to the other designs.

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