Worldwide annual optimum tilt angle model for solar collectors and photovoltaic systems in the absence of site meteorological data

Version 1.0.0

Description: The present repository shares multiple regression algorithms for optimum tilt angle position described in the manuscript: Worldwide annual optimum tilt angle model for solar collectors and photovoltaic systems in the absence of site meteorological data. The code uploaded train the algorithms with the data from the databases. Polynomial fitting algorithms, neural networks and decision trees are shared.

Motivation: Several models for accurately computing the annual optimum tilt angle for fixed solar photovoltaic arrays or solar collectors, in any location of the world. The optimum tilt angle that maximizes the annual energy yield can therefore be easily calculated in the absence of meteorological data and simulation software tools. The proposed models are calculated using global horizontal radiation data collected from 2,551 sites across the world. After selecting the optimum angle for each location, through a regression analysis, a mathematical model that calculates annual optimum angles as a function of latitude has been developed. Furthermore, regression techniques such as neural networks and decision trees have been compared with the polynomial models.

Please, if the code is used, I would appreciate attribution. This usually includes adding the following reference:

Chinchilla, M., Santos-Martín, D., Carpintero-Rentería, M., & Lemon, S. (2021). Worldwide annual optimum tilt angle model for solar collectors and photovoltaic systems in the absence of site meteorological data. Applied Energy, 281, 116056.