Applying and Improving Pyranometric Method to Estimate Sunshine Duration for a Tropical Site

Tovondahiniriko Fanjirindratovo; Didier Calogine; Oanh Chau; Olga Ramiarinjanahary

doi:10.20944/preprints202406.1439.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 19 June 2024 / Approved: 20 June 2024 / Online: 21 June 2024 (05:37:22 CEST)

The aim of this paper is to apply all the existing pyranometric method, to estimate the sunshine duration from the global solar irradiation, in order to find in their original form the most suitable method for a tropical site. Then, in a second step, one of these methods will be optimized to well fit tropical sites. Five methods in the literature (Step Algorithm, Carpentras Algorithm, Slob & Monna Algorithm, Slob & Monna 2 Algorithm, and Linear Algorithm) were applied with eleven years of global and diffuse solar radiation data. As a result, in their original form, the Step Algorithm is on the first rank. But in the second step, after improving its main coefficients, the Carpentras Algorithm was found to be the best algorithm for tropical site in the southern hemisphere.

Carpentras method; data fitting; global radiation; sunshine duration; Slob and Monna algorithm; step algorithm; linear algorithm

Physical Sciences, Other

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Applying and Improving Pyranometric Method to Estimate Sunshine Duration for a Tropical Site

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