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利用实时数据采集确定光伏板的最佳倾斜角度

Optimal Tilt Angle Determination for PV Panels Using Real Time Data Acquisition.

作者信息

Sharma Manoj Kumar, Kumar Deepak, Dhundhara Sandeep, Gaur Dipesh, Verma Yajvender Pal

机构信息

Department of EEE University Institute of Engineering and Technology Panjab University Chandigarh 160014 India.

Department of Basic Engineering College of Agricultural Engineering and Technology CCS Haryana Agricultural University Hisar Haryana 125004 India.

出版信息

Glob Chall. 2020 Feb 18;4(8):1900109. doi: 10.1002/gch2.201900109. eCollection 2020 Aug.

Abstract

Solar energy is one of the promising renewable energy sources which has the potential to meet the future energy demand around the world. To maximize the irradiance fall, solar panels are generally equipped with a motor tracking system and are placed at a specific tilt angle. However, tracking methods are not cost-effective and a fixed tilt angle is not productive. This study proposes a method for harnessing maximum output from photovoltaic (PV) panels throughout the year by determining the optimal tilt angle. The investigation is performed on real-time solar PV panels of 5 kWp rated capacity installed at 10°, 20°, 25°, 30°, and 40° angle on the rooftop of engineering institute situated at Chandigarh, India. The real-time power generation response for a year is used to find the optimal tilt angle. The results obtained from the practical setup are validated by comparing it with the simulation results of the regression analysis. In addition, the impact of the optimal angle on total power generation and carbon emissions is analyzed. The results reveal that the proposed approach is quite effective to increase the power generation of PV panels up to 7-8% and can be practically implemented in any location throughout the world.

摘要

太阳能是一种很有前景的可再生能源,有潜力满足全球未来的能源需求。为了使辐照度下降最大化,太阳能板通常配备电机跟踪系统,并以特定的倾斜角度放置。然而,跟踪方法成本效益不高,固定倾斜角度也没有成效。本研究提出一种方法,通过确定最佳倾斜角度,全年从光伏(PV)板获取最大输出。研究是在印度昌迪加尔一所工程学院屋顶上以10°、20°、25°、30°和40°角安装的额定容量为5千瓦峰值的实时太阳能光伏板上进行的。利用一年的实时发电响应来找出最佳倾斜角度。通过将实际设置获得的结果与回归分析的模拟结果进行比较来验证。此外,还分析了最佳角度对总发电量和碳排放的影响。结果表明,所提出的方法对于将光伏板发电量提高7 - 8%相当有效,并且可以在世界任何地方实际实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9335/7408049/720ef6707e52/GCH2-4-1900109-g001.jpg

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