Spectral filtering copper-coated hibiscus-butanol extract for photovoltaic cells

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2020-01-01 DOI:10.21307/ijssis-2020-014

M. Emetere, Gabe-Oji Testimony

引用次数: 1

Abstract

Abstract The efficiency of the photovoltaic (PV) panel was queried in this research. Past research on spectra response has shown that the maximum solar response, i.e. using color filters is 24%. This result is not very good for a PV system exposed to the harsh weather condition in any part of the African continent. In this research, the bio-filter was used to perform spectral filtering of harmful solar radiation hitting the surface of the solar PV panel. The bio-filter was synthesized from the extract of the hibiscus flower. Hibiscus is a common plant found in almost all parts of Africa. The results show that the bio-filter has a relative efficiency of 94%. This makes the product a novel to be adopted in Africa and other tropical belts to elongate the life span and performance of the solar photovoltaic panel.

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光电池用光谱滤波镀铜木槿-丁醇提取物

摘要:本文对光伏板的效率进行了研究。过去对光谱响应的研究表明，最大的太阳响应，即使用彩色滤光片是24%。这个结果对于暴露在非洲大陆任何地方恶劣天气条件下的光伏系统来说都不是很好。在本研究中，生物过滤器用于对照射在太阳能光伏板表面的有害太阳辐射进行光谱过滤。以木槿花提取物为原料合成生物滤池。木槿是一种常见的植物，几乎在非洲所有地区都能找到。结果表明，该生物滤池的相对效率为94%。这使得该产品成为非洲和其他热带地区采用的一种新颖的产品，以延长太阳能光伏电池板的寿命和性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

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