Mansur Ahmed Al, Islam Md Imamul, Kiron Mohammad Kamrozzaman, Asif Ul Haq Mohammad, Maruf Md Hasan, Shihavuddin Asm, Ashique Ratil Hasnat, Amin Md Ruhul
Department of Electrical and Electronic Engineering, Green University of Bangladesh, Dhaka, Bangladesh.
Department of Computer Science and Engineering, Indipendent University of Bangladesh, Dhaka, Bangladesh.
Data Brief. 2022 Jun 14;43:108389. doi: 10.1016/j.dib.2022.108389. eCollection 2022 Aug.
In the twenty-first century, energy sustainability and reliability are one of the major challenges in the world and prime factors of the national development plan. Recently, Solar PV is gaining popularity and making a significant effect as an alternative to fossil fuels due to reduction of cost and enhanced efficiency. However, the production performance of Solar PV over the period gets significantly impacted owing to a variety of problems such as dust, aging due to shading and soiling over the cell, hot spot, discoloration and corrosion for excessive atmospheric temperature, inadequate solar light, cell damage, and so on. In this research, a low-cost halogen-based artificial sun simulator is developed and deployed to examine the electrical properties of Solar PV in indoor conditions. Two monocrystalline and three polycrystalline PV panels under Standard Test Conditions, as well as a prototype 5 × 8 PV array, using this artificial light source, were evaluated rigorously for experimental purposes. With the help of a microcontroller-based I-V tracer and an actual data storage system, Open Circuit Voltage (Voc), Short Circuit Current (Isc), Maximum Power Voltage (Vmp), Maximum Power Current (Imp), and Maximum Power (Pmax) at three irradiance levels were measured and recorded. Utilizing Microsoft Excel software, the data logger's recorded data were analyzed and I-V and P-V curves were plotted. These data are extremely valuable for obtaining a good understanding of the validity of the Sun Simulator and the rate of deterioration of solar PV performance depending on irradiance. These data will aid the research community in future research regarding PV array performance monitoring, corresponding solution modeling, and developing cost-effective installation of large-scale PV arrays.
在21世纪，能源的可持续性和可靠性是全球面临的主要挑战之一，也是国家发展计划的首要因素。近年来，由于成本降低和效率提高，太阳能光伏发电越来越受欢迎，并作为化石燃料的替代品产生了重大影响。然而，由于灰尘、因遮挡和电池表面污垢导致的老化、热点、因大气温度过高导致的变色和腐蚀、太阳光不足、电池损坏等各种问题，太阳能光伏在此期间的生产性能受到了显著影响。在本研究中，开发并部署了一种低成本的基于卤素的人工太阳模拟器，以在室内条件下检测太阳能光伏的电学特性。为了实验目的，使用这种人工光源对标准测试条件下的两块单晶硅光伏板和三块多晶硅光伏板以及一个5×8的光伏阵列原型进行了严格评估。借助基于微控制器的I-V跟踪器和实际数据存储系统，测量并记录了三种辐照度水平下的开路电压（Voc）、短路电流（Isc）、最大功率电压（Vmp）、最大功率电流（Imp）和最大功率（Pmax）。利用Microsoft Excel软件对数据记录器记录的数据进行了分析，并绘制了I-V和P-V曲线。这些数据对于深入了解太阳模拟器的有效性以及太阳能光伏性能随辐照度的劣化速率非常有价值。这些数据将有助于研究界未来在光伏阵列性能监测、相应解决方案建模以及开发具有成本效益的大规模光伏阵列安装方面的研究。
