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Comprehensive Evaluation of Irradiance Transposition Models at High Temporal Resolution in Hot Desert Conditions
Author(s) -
Abdul Wahab Ziaullah,
Dunia Bachour,
Daniel Perez-Astudillo
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3617653
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The tilted irradiance, or Plane-Of-Array (POA) irradiance, refers to the solar radiation that strikes a tilted surface, such as a photovoltaic (PV) panel. Accurate estimation of POA is essential for designing efficient solar systems and predicting energy output. POA can be calculated using transposition models, that consider factors such as solar radiation components (direct and diffuse) and geometrical parameters like the tilt and azimuth angles. This study evaluates the performance of several widely used transposition models in the hot desert (BWh) climate of Doha, Qatar, using high-resolution (1-minute) irradiance data. A dataset spanning more than a year was analyzed with consideration of factors such as albedo, solar zenith angle, cloud cover, precipitation, and air quality. Several performance indicators including relative RMSE, relative MBE, and a risk index, were utilized. Among the tested models, Perez and Perez-Driesse provided the closest agreement with POA irradiance at two south-facing tilt angles, showing stable performance across seasons, while Hay-Davies emerged as least risky model. The analysis also revealed greater sensitivity to albedo at higher tilt angle. Model accuracy declined during cloudy and rainy periods, but improved during clear, dust-prone months. These findings highlight Qatar’s favorable atmospheric conditions for accurate POA modeling, supporting applications such as PV tilt optimization and system sizing, while underscoring the need for refined model tuning to address performance limitations under cloudy conditions.

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