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On the evaluation of spectral effects on photovoltaic modules performance parameters and hotspots in solar cells

机译:关于太阳能电池光伏模块性能参数和热点的光谱效应评估

摘要

The performance of photovoltaic (PV) modules in terms of their ability to convert incident photon to electrical energy (efficiency) depends mostly on the spectral distribution of incident radiation from the sun. The incident spectrum finally perceived by the module depends strongly on the composition of the medium in which it has traveled. The composition of the earth’s atmosphere, which includes, amongst others, water vapour, gases such as carbon dioxide and oxygen, absorbs or scatters some of the sunlight. The incident solar spectrum is also modified by the diffuse aspect of radiation from the sky which strongly depends on aerosol concentration, cloudiness and local reflection of the earth’s surface. Although it is well known that the changes in outdoor spectrum affect device performance, little work has been conducted to support this theory. This is probably due to lack of spectral data or in certain instances where data is available, little knowledge of interpreting that data. The outdoor spectral data that one obtains in the field does not come clearly for just simple interpretation. Different analytical interpretation procedures have been proposed, all trying to explain and quantify the spectral influence on PV devices. In this study an assessment methodology for evaluating the effects of outdoor spectra on device performance parameters during the course of the day, seasons and or cloudy cover has been developed. The methodology consists of developing a device dependant concept, Weighted Useful Fraction (WUF) using the outdoor measured spectral data. For measuring PV module’s performance parameters, a current-voltage (I-V) tester was developed in order to monitor the performance of six different module technologies. The Gaussian distribution was used to interpret the data. For hot-spot analysis, different techniques were used, which include Infrared thermographic technique for identifying the hot-spots in the solar cells, SEM and EDX techniques. The AES technique was also used in order to identify other elements at hot-spots sites that could not be detected by the EDX technique. iii Results obtained indicate that multicrystalline modules performance is affected by the changes in the outdoor spectrum during summer or winter seasons. The modules prefer a spectrum characterized by WUF = 0.809 during summer season. This spectrum corresponds to AM 2.19 which is different from AM 1.5 used for device ratings. In winter, the mc-Si module’s WUF (0.7125) peaks at 13h00 at a value corresponding to AM 1.83. Although these devices have a wider wavelength range, they respond differently in real outdoor environment. Results for mono – Si module showed that the device performs best at WUF = 0.6457 which corresponds to AM 1.83 during summer season, while it operates optimally under a winter spectrum indicated by WUF of 0.5691 (AM2.58). The seasonal changes resulted in the shift in WUF during day time corresponding to the “preferred” spectrum. This shift indicates that these devices should be rated using AM values that correspond to the WUF values under which the device operates optimally. For poly-Si, it was also observed the WUF values are lower than the other two crystalline-Si counterparts. The pc-Si was observed to prefer a lower AM value indicated by WUF = 0.5813 during winter season while for summer it prefers a spectrum characterized by WUF = 0.5541 at AM 3.36. The performance of the single junction a-Si module degraded by 67 percent after an initial outdoor exposure of 16 kWh/m² while the HIT module did not exhibit the initial degradation regardless of their similarities in material composition. It was established that the WUF before degradation peaks at 15h00 at a value of 0.7130 corresponding to AM 4.50 while the WUF after degradation “prefers” the spectrum (WUF = 0.6578) experienced at 15h30 corresponding to AM value of 5.57. Comparing the before and after degradation scenarios of a-Si:H, it was observed that the device spends less time under the red spectrum which implies that the device “prefers” a full spectrum to operate optimally. The degradation of a-Si:H device revealed that the device spectral response was also shifted by a 7.7 percent after degradation. A higher percentage difference (61.8 percent) for spectral range for the HIT module is observed, but with no effects on device parameters. Seasonal changes (summer/winter) resulted in the outdoor spectrum of CuInSe2 to vary by WUF = 1.5 percent, which resulted in the decrease in Isc. This was ascertained by iv analyzing the percentage change in WUF and evaluating the corresponding change in Isc. The analysis showed that there was a large percentage difference of the module’s Isc as the outdoor spectrum changed during the course of the day. This confirmed that the 17 percent decrease in Isc was due to a WUF of 1.5 percent. In mc-Si solar cells used in this study, it was found that elemental composition across the entire solar cell was not homogenously distributed resulting in high concentration of transition metals which were detected at hot spot areas. The presence of transition metals causes hot-spot formation in crystalline solar cells. Although several transition elements exist at hot-spot regions, the presence of oxygen, carbon, iron and platinum was detected in high concentrations. From this study, it is highly recommended that transition elements and oxygen must be minimized so as to increase the life expectancy of these devices and improve overall systems reliability
机译:光伏(PV)模块在将入射光子转换为电能的能力(效率)方面的性能主要取决于太阳入射辐射的光谱分布。最终由模块感知的入射光谱在很大程度上取决于其传播的介质的成分。地球大气的组成部分吸收或散射了一些阳光,其中包括水蒸气,二氧化碳和氧气等气体。来自天空的辐射的扩散方面也改变了入射的太阳光谱,这在很大程度上取决于气溶胶的浓度,云度和地球表面的局部反射。尽管众所周知,室外光谱的变化会影响设备性能,但为支持该理论所做的工作很少。这可能是由于缺乏光谱数据或在某些情况下(如果有数据的话)缺乏解释该数据的知识。仅仅通过简单的解释就不能清楚地获得人们在野外获得的室外光谱数据。已经提出了不同的分析解释程序,所有这些程序都试图解释和量化光谱对PV器件的影响。在这项研究中,已经开发出一种评估方法,用于评估白天,季节和/或阴天覆盖期间室外光谱对设备性能参数的影响。该方法包括使用室外测量的光谱数据开发设备相关概念,即加权有用分数(WUF)。为了测量光伏组件的性能参数,开发了一种电流-电压(I-V)测试仪,以监视六种不同组件技术的性能。高斯分布用于解释数据。对于热点分析,使用了不同的技术,包括用于识别太阳能电池中热点的红外热成像技术,SEM和EDX技术。还使用AES技术来识别EDX技术无法检测到的热点站点上的其他元素。 iii获得的结果表明,在夏季或冬季,多晶组件的性能会受到户外光谱变化的影响。这些模块更喜欢在夏季以WUF = 0.809为特征的频谱。该频谱对应于AM 2.19,与用于设备额定值的AM 1.5不同。冬季,mc-Si模块的WUF(0.7125)在13h00达到峰值,对应于AM 1.83。尽管这些设备具有较宽的波长范围,但它们在实际的室外环境中的响应不同。单晶硅模块的结果表明,该器件在WUF = 0.6457时表现最佳,相当于夏季的AM 1.83,而在WUF为0.5691(AM2.58)表示的冬季光谱下,其性能最佳。季节变化导致白天的WUF发生变化,对应于“首选”频谱。此偏移表明,应使用与WUF值相对应的AM值对这些设备进行评级,在该WUF值下,设备将以最佳状态运行。对于多晶硅,还观察到WUF值低于其他两个晶体硅对应物。观察到pc-Si在冬季更喜欢用WUF = 0.5813表示的较低AM值,而在夏天,它更喜欢在AM 3.36用WUF = 0.5541表征的光谱。初始户外暴露于16 kWh /m²后,单结a-Si组件的性能下降了67%,而HIT组件无论材料组成如何相似,都没有表现出初始退化。可以确定,降解前的WUF在15h00的峰值为0.7130,对应于AM 4.50,而降解后的WUF“优选”在15h30经历的光谱(WUF = 0.6578),对应于AM值为5.57。比较a-Si:H降解前后的情景,可以发现该设备在红色光谱下花费的时间更少,这意味着该设备“更喜欢”整个光谱以实现最佳运行。 a-Si:H器件的降解表明,降解后,器件的光谱响应也偏移了7.7%。在HIT模块的光谱范围内观察到更高的百分比差异(61.8%),但对设备参数没有影响。季节变化(夏季/冬季)导致CuInSe2的室外光谱变化WUF = 1.5%,从而导致Isc降低。通过iv分析WUF的百分比变化并评估Isc的相应变化来确定这一点。分析表明,随着一天中室外光谱的变化,模块的Isc会有很大的百分比差异。这证实了Isc下降17%是由于WUF为1.5%。在本研究中使用的mc-Si太阳能电池中,发现整个太阳能电池的元素组成分布不均匀,导致在热点区域检测到高浓度的过渡金属。过渡金属的存在会导致晶体太阳能电池中形成热点。尽管热点区域存在多个过渡元素,但仍以高浓度检测到了氧,碳,铁和铂的存在。根据这项研究,强烈建议必须将过渡元素和氧气减至最少,以增加这些设备的预期寿命并提高整体系统的可靠性

著录项

  • 作者

    Simon Michael;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
  • 中图分类
  • 入库时间 2022-08-31 16:25:21

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