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Experimental analysis and simulation of a production line for CPV modules: impact of defects, misalignments, and binning of receivers

机译:CPV模块生产线的实验分析和仿真:缺陷,未对准和接收器装箱的影响

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Abstract An inherent characteristic of high concentrator photovoltaics (HCPV) modules is a tight mechanical tolerance caused by the narrow angular transmission of the optical system, typically below or close to 1???°. Misalignments in the modules caused during the assembly process in the production line will degrade not only the electrical but also the angular performance of the module. Moreover, dispersion in the electrical characteristics of the elementary units comprising a module would lead also to power loss. Quality control and data analysis on the production line is of great significance for adjusting the production line and preserving the angular tolerance and the electrical performance. This is particularly critical during the set-up and tuning of an automated production line. This paper presents the results of a pilot production line for HCPV modules carried out within the European funded ECOSOLE project. Several quality controls were established, which are the binning of the photovoltaic receivers, the measurement of misalignments among the elementary units within every module, and the indoor electrical characterization of the modules. Collected experimental data during the tuning phase of the pilot line were used to validate a module performance model based on production parameters. Monte Carlo method is lately applied to the model to assess the influence of production defects of diverse nature and the adequacy of quality controls, in several manufacturing scenarios beyond the specific constrains of the ECOSOLE experience.
机译:摘要高聚光光伏(HCPV)模块的固有特性是由光学系统的窄角度传输(通常低于或接近1º°)引起的严格的机械公差。在生产线的组装过程中导致的模块错位不仅会降低模块的电气性能,还会降低模块的角度性能。此外,包括模块的基本单元的电特性的分散也会导致功率损耗。生产线上的质量控制和数据分析对于调整生产线,保持角公差和电气性能具有重要意义。这在自动生产线的设置和调试过程中尤其重要。本文介绍了在欧洲资助的ECOSOLE项目中进行的HCPV组件试生产线的结果。建立了几个质量控制,包括光伏接收器的分箱,每个模块内基本单元之间未对准的测量以及模块的室内电气特性。在生产线调试阶段收集的实验数据用于基于生产参数验证模块性能模型。蒙特卡洛方法最近被应用到该模型中,以评估在ECOSOLE经验的特定限制之外的几种制造方案中,各种性质的生产缺陷的影响以及质量控制的充分性。

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