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Procedure to determine module distribution within a solar array to increase the net energy collection in a solar competition vehicle

机译:确定太阳能电池阵列中模块分布的程序,以增加太阳能竞赛车辆的净能量收集

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摘要

In solar vehicle competition, the available space for installation of the solar panel in the car is limited. In order to optimize space, it is difficult not to install solar modules in areas impacted by shadows, even if they cause reduction of efficiency in the overall photoelectric generation. Shadow patterns arise from the relative position of the sun to the earth, and the relative position of the vehicle towards both of them. Since vehicle, earth and sun are moving in semi-predictable patterns, computer simulations can cross and match data from such sources to forecast generation behavior. The outputs of such simulations are shadow patterns on the surface of the vehicle, indicating locations that are suitable or unsuitable to install solar cells. This paper will show the design procedure of the solar panel for a Challenger Class solar vehicle that participated in the World Solar Challenge 2013, intended to increase the net energy collection. The results obtained, illustrate how the employment of a computational tool can help in the acquisition of both qualitative and quantitative information, related to shadows position and their impact on energy collection. With data inputs such as vehicle geometry and its relative position towards the route, the tool was used to evaluate different possible configurations of solar panel module distribution and select the ones that are more convenient to the given scenario. Therefore, this analysis allows improving the solar panel design by considering important variables that were often overlooked.
机译:在太阳能汽车竞赛中,用于在汽车中安装太阳能电池板的可用空间是有限的。为了优化空间,即使在阴影影响的区域中也不安装太阳能模块是困难的,即使它们导致整个光电发电效率降低。阴影模式是由于太阳相对于地球的相对位置以及车辆相对于两者的相对位置而产生的。由于车辆,地球和太阳以半可预测的方式运动,因此计算机仿真可以交叉并匹配来自此类源的数据以预测发电行为。这种模拟的输出是车辆表面的阴影图案,指示适合或不适合安装太阳能电池的位置。本文将展示参加2013年世界太阳能挑战赛的挑战者级太阳能汽车的太阳能电池板的设计程序,该程序旨在增加净能量收集。获得的结果说明使用计算工具如何能够帮助获取与阴影位置及其对能量收集的影响有关的定性和定量信息。借助车辆几何形状及其相对于路线的相对位置等数据输入,该工具可用于评估太阳能电池板模块分布的不同可能配置,并选择更适合给定场景的配置。因此,该分析可以通过考虑经常被忽略的重要变量来改进太阳能电池板的设计。

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