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Meteorological-Data-Based Modeling for PV Performance Optimization
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DOI：10.3390/su15118659.png)
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摘要
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Developing a sustainable and reliable photovoltaic (PV) energy system requires a comprehensive analysis of solar profiles and an accurate prediction of solar energy performance at the study site. Installing the PV modules with optimal tilt and azimuth angles has a significant impact on the total irradiance delivered to the PV modules. This paper proposes a comprehensive optimization model to integrate total irradiance models with the PV temperature model to find the optimal year-round installation parameters of PV modules. A novel integration between installation parameters and the annual average solar energy is presented, to produce the maximum energy output. The results suggest an increase in energy yields of 4% compared to the conventional scheme, where tilt angle is equal to the latitude and the PV modules are facing south. This paper uses a real-time dataset for the NEOM region in Saudi Arabia to validate the superiority of the proposed model compared to the conventional scheme, but it can be implemented as a scheme wherever real-time data are available.
Keyword:
energy conversion
power generation meteorological factors
photovoltaic cell radiation effects
photovoltaic cell thermal factors
optimization methods
modeling
algorithms
期刊
IF:
3.3
论文数:
10.6W
被引数:
28.4W
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