期刊
ENERGY
卷 284, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2023.128693
关键词
Bifacial photovoltaics; Optical model; Bifacial gain; LCOE
This study develops an experimentally validated view factor-based optical model to accurately predict the power output and bifacial gain of bifacial PV power plants. An optimal model for the best performance of bifacial PV at any location is suggested by optimizing parameters such as the pitch, height of installations, and slope. The results show that bifacial PV outperforms monofacial PV in terms of performance and financial gain.
Bifacial photovoltaic technology is considered an emerging and promising PV technology. However, the unavailability of proven field data or efficient models prevents the stakeholders from going ahead with this technology. The currently available bifacial performance models have limitations; they are location specific, for a single bifacial PV module alone, or ground-level installed bifacial PV only. This paper develops an experimentally validated view factor-based optical model using the Cross-string rule to predict the power output and bifacial gain for bifacial PV power plants with good accuracy and low computation power and time. An optimal model for the best performance of bifacial PV at any location was also suggested by optimizing the parameters like the pitch, height of installations, and slope. The results show that the year-round performance of bifacial PV in cities in India's five climatic zones is 30.54%-34.93% higher than the monofiacial PV panels at an average ground albedo of 30%. Bi-annual tracking improved a bifacial PV's overall power output and bifacial gain. The financial indicators like Levelised cost of energy, Net present value, Discounted payback period, and Internal rate of return indicate higher financial gain from the bifacial PV power plant compared to monofacial PV power plant.
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