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Daily spectral effects on concentrating PV solar cells as affected by realistic aerosol optical depth and other atmospheric conditions

机译:受到实际气溶胶光学深度和其他大气条件的影响,对聚光光伏太阳能电池的每日光谱影响

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This contribution addresses the need for more information about the spectral effect affecting solar cells specifically designed for concentrating photovoltaic (CPV) applications. Spectral effects result from differences between the actual (dynamically variable) solar spectrum incident on a solar cell in the field and the standard (fixed) solar spectrum used for rating purposes. A methodology is proposed to quantify this spectral effect at any site where basic atmospheric information exists, and predict what semiconductor material(s) may benefit from operating under non-standard conditions. Using the same SMARTS radiative code as for the development of the improved reference spectrum for concentrating PV rating, an analysis of the spectral sensitivity of five specific PV technologies to varying atmospheric factors is presented, using simulated spectra at 5-nm resolution. (The alternative of using the average photon energy (APE) concept was also considered, but proved inappropriate in the present context.) The technologies investigated here include a 21.5%-efficient CIGS cell, a 22%-efficient crystalline silicon cell (both appropriate for low-concentration applications), as well as three high-performance multijunction cells, which are specifically designed for high-concentration applications. To the difference of most previous studies, the approach taken here considers realistic atmospheric conditions. The proposed Daily Spectral Enhancement Factor (DSEF) is obtained from a typical daily-average incident spectrum, which is purposefully weighted to minimize the incidence of large spectral effects at low sun. Calculations of DSEF are performed here at fifteen world sites from an atmospheric monitoring network. These sites have largely different latitudes and climates, and yet are all potentially interesting for CPV applications. Results are obtained for a typical clear day of January and July, and for each of the five PV technologies just mentioned. This analysis provides a preliminary quantitative assessment of how local atmospheric conditions interact with the spectral response of different CPV technologies. Most importantly, it is shown that the effect of aerosol optical depth (AOD, also referred to as atmospheric turbidity) has the largest impact on both the average direct normal irradiance (DNI) during a given month and the cell's DSEF. It is found that DSEF can be as low as 0.993 under clean conditions (low AOD), and as high as 1.215 under hazy conditions (high AOD). Under most conditions, all simulated solar cells perform significantly better than under rating conditions due to the spectral effect alone. There is no important difference in DSEF from cell to cell, except in one instance of very high AOD. The methodology and results proposed here constitute a step towards a better performance prediction of CPV systems, by assessing the variable spectral effect more accurately. It is anticipated that a more detailed simulation, which would also model temperature effects, as well as current-limiting effects in multijunction cells, would indicate even larger DSEF values than found here. Accurate aerosol data with higher spatial resolution in the "sun belt" than what exists today would also be desirable for the development of CPV applications.
机译:这种贡献满足了有关影响专门设计用于聚光光伏(CPV)应用的太阳能电池的光谱效应的更多信息的需求。光谱效应是由入射在太阳能电池上的实际(动态可变)太阳光谱与用于评级目的的标准(固定)太阳光谱之间的差异引起的。提出了一种方法来量化存在基本大气信息的任何地点的光谱效应,并预测在非标准条件下操作可受益于哪些半导体材料。使用与开发用于改善PV额定值的改进参考光谱相同的SMARTS辐射代码,使用5 nm分辨率的模拟光谱,对五种特定PV技术对变化的大气因素的光谱敏感性进行了分析。 (也考虑了使用平均光子能量(APE)概念的替代方法,但在当前情况下被证明是不合适的。)此处研究的技术包括效率为21.5%的CIGS电池,效率为22%的晶体硅电池(均适用)适用于低浓度应用)以及三个高性能多结电池,这些电池是专为高浓度应用而设计的。与以前的大多数研究不同,此处采用的方法考虑了实际的大气条件。拟议的每日光谱增强因子(DSEF)是从典型的每日平均入射光谱中获得的,有目的地对其进行加权以最大程度地减少低太阳下大光谱效应的发生。 DSEF的计算是通过大气监测网络在15个世界站点上进行的。这些地点的纬度和气候存在很大差异,但对于CPV应用而言,都具有潜在的吸引力。对于典型的1月和7月晴天,以及上述5种光伏技术中的每一种,都可获得结果。该分析提供了对本地大气条件如何与不同CPV技术的光谱响应相互作用的初步定量评估。最重要的是,显示出气溶胶光学深度(AOD,也称为大气浊度)的影响对给定月份的平均直接法向辐照度(DNI)和电池的DSEF都有最大的影响。发现在干净条件下(低AOD),DSEF可以低至0.993;在朦胧条件下(高AOD),DSEF可以低至1.215。在大多数情况下,由于单独的光谱效应,所有模拟太阳能电池的性能均明显优于额定条件。除了在一个非常高的AOD情况下,细胞之间的DSEF没有重要区别。通过更准确地评估可变光谱效应,此处提出的方法和结果构成了朝CPV系统更好的性能预测迈出的一步。可以预料的是,更详细的仿真(还将模拟温度效应以及多结电池中的限流效应)将表明比此处发现的DSEF值更大。对于CPV应用程序的开发,在“太阳带”中具有比今天更高的空间分辨率的精确气溶胶数据也将是理想的。

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