期刊
PROGRESS IN PHOTOVOLTAICS
卷 30, 期 1, 页码 27-48出版社
WILEY
DOI: 10.1002/pip.3458
关键词
optimum tilt angle; performance analysis; photovoltaic power plant; PVSyst; solar power enhancement; uncertainty
This study analyzed the performance of a 19 MWp PV plant in India with fixed-tilt, seasonal adjustable-tilt, and horizontal single-axis solar tracking configurations, providing a comparative power enhancement analysis. The study found that the single-axis solar tracking configuration had higher annual performance ratio and capacity factors, leading to significantly improved energy yield compared to fixed-tilt and seasonal adjustable-tilt configurations.
Photovoltaic (PV) plants are generally installed at optimum tilt angle for a location or using sun tracking for enhancing energy generation potential. The objective of the present study is to assess the practicability of these techniques for large commercial plants along with determining expected uncertainty in simulated energy yield estimation. In this study, performance analysis of a 19-MWp (17-MWac) PV plant is carried out which is installed in India with fixed-tilt (FT), seasonal adjustable-tilt (AT), and horizontal single-axis solar tracking (HSAT) configurations. This study is the first-time comparative power enhancement analysis of these three different configurations under real outdoor conditions for a single large scale power plant at one location. The operation and maintenance issues of these configurations are also analyzed. A reliability analysis of linear actuator of the industrial solar tracking system is carried out as the actuator is a critical part of the solar tracking system of the power plant. Major results of the study are annual performance ratio 79% (FT), capacity factors = 19% (FT), 20% (AT), and 22% (HSAT) respectively, final yields (Y-f) = 4.58 h/day (FT), 4.85 h/day (AT), and 5.28 h/day (HSAT). The energy yield simulations are done on two widely used PV design software: PVSyst and PVSOL and results are analyzed in detail. The accuracy of predicted data is validated and found to be within acceptable limits of uncertainty. The results of this study are compared with previous studies.
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