Statistical Analysis of Solar Position Calculation Algorithms: SPA and Grena 1-5

de Melo, Karen Barbosa; Tavares, Lucas Ramos; Villalva, Marcelo Gradella

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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Statistical Analysis of Solar Position Calculation Algorithms: SPA and Grena 1-5

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Author(s):	de Melo, Karen Barbosa ^[1] ; Tavares, Lucas Ramos ^[1] ; Villalva, Marcelo Gradella ^[1] Total Authors: 3
Affiliation:	^[1] Univ Campinas UNICAMP, Campinas, SP - Brazil Total Affiliations: 1
Document type:	Journal article
Source:	IEEE Latin America Transactions; v. 19, n. 7, p. 1145-1152, JUL 2021.
Web of Science Citations:	0
Abstract
Photovoltaic systems have been explored as a solution to meet the growing demand for electricity from a clean and renewable source. To improve the performance of photovoltaic systems, a widely used alternative is the implementation of solar trackers. The strategy of sun-tracking most used in photovoltaic power plants with solar trackers applies algorithms to calculate the sun position. This work presents a statistical analysis of six solar position calculation algorithms: Solar Position Algorithm (SPA) and Grena 1-5. The algorithm with the lowest solar vector error was the SPA. (AU)

FAPESP's process:	16/08645-9 - Interdisciplinary research activities in electric smart grids
Grantee:	João Bosco Ribeiro do Val
Support Opportunities:	Research Projects - Thematic Grants

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