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Title: Investigating the Applicability of Horizontal to Tilted Sky-Diffuse Solar Irradiation Transposition Models for Key Libyan Cities
Authors: Nassar, Yasser
Abuhamoud, Nassir
Miskeen, Guzlan
El-Khozondar, Hala
Alsadi, Samer
Ahwidi, Omar
Keywords: Transposition model;solar irradiance;isotropic models;anisotropic models;Libya
Issue Date: 29-Jul-2022
Publisher: ResearchGate GmbH
Citation: Nassar, Y., Abuhamoud, N., Miskeen, G., El-Khozondar, H., Alsadi, S., & Ahwidi, O. (2022). Investigating the Applicability of Horizontal to Tilted Sky-Diffuse Solar Irradiation Transposition Models for Key Libyan Cities. 9-14. DOI: 10.1109/MI-STA54861.2022.9837500.‏
Series/Report no.: ;9-14
Abstract: The global solar irradiation incident on a tilted surface with different tilt angles is one of the most important requirements for simulating solar energy systems. However, this data is often not available. For this reason scientists, database platforms and commercial software resort to using transposition models to convert horizontal solar irradiation into tilted solar irradiation incident on any inclined surface at any degree. The present study considered a wide range of the most widely used horizontal to tilted transposition models around the world. In the absence of measured information, the horizontal solar radiation was obtained from Solargis for six locations in Libya, which were carefully selected to represent all Libyan territories. Three cities were selected in the north (Tripoli, Sirte and Benghazi), a city in the middle (Al-Jufra) and two cities in the south (Sabha and Kufra). The proposed approach was applied to these cities for selected 22 transposition models and for various tilt angles (10°-90°) in order to figure out the best model for use in each area and at any given tilt angle. According to the obtained results it is able to recommend the Bugler; 1988 model as the most accurate model for the northern and central regions of the country, while the most applicable model for the southern region is Lui&Jordan model; 1963.
metadata.dc.identifier.doi: 10.1109/MI-STA54861.2022.9837500
Appears in Collections:Engineering and Technology Faculty

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