Spectral filtering of photovoltaic cells using novel bio-filter: silver-coated Ixora extract using water as a solution

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
M. Emetere, Adeyemo Nehemiah
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引用次数: 1

Abstract

Abstract Over the years, it has been noticed that there is a rising interest in spectral filtering to increase the overall efficiency or output of photovoltaic solar systems. Meanwhile methods for comparing the performance of spectral filtering and the effects of optical spectral filter design on system performance are not well developed. This research emphasizes on two areas, that is, to screen plant extract to serve as a coating to elongate the life span or improve the efficiency of solar cells, to test for the different spectral incident on solar cells and to apply silver-coated plant extract to filter spectral hitting the PV cells. The parameters (voltage, current, and radiation) obtained during the experiment indicate the benefit of using plant extract to coat the PV cells’ surface. Data are obtained to assess the performance of experimental spectral filters in different spectral filtering configurations. The result shows that the efficiency of the PV cell increased by 8%. This research has shown that these spectra filtering method is viable. Hence, it is recommended that solar companies concentrate on the protective layer to improve solar cell efficiency.
使用新型生物过滤器对光伏电池进行光谱过滤:以水为溶液的银涂层Ixora提取物
摘要多年来,人们注意到人们对光谱滤波越来越感兴趣,以提高光伏太阳能系统的整体效率或输出。同时,比较光谱滤波性能和光谱滤波器设计对系统性能影响的方法还没有很好地发展。本研究着重于两个方面,即筛选植物提取物作为涂层,以延长太阳能电池的寿命或提高太阳能电池的效率,测试入射到太阳能电池上的不同光谱,以及应用镀银植物提取物过滤撞击光伏电池的光谱。实验过程中获得的参数(电压、电流和辐射)表明了使用植物提取物覆盖光伏电池表面的好处。获得数据以评估实验光谱滤波器在不同光谱滤波配置中的性能。结果表明,该光伏电池的效率提高了8%。研究表明,这些频谱滤波方法是可行的。因此,建议太阳能公司将重点放在保护层上,以提高太阳能电池的效率。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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