A global annual optimum tilt angle model for photovoltaic generation to use in the absence of local meteorological data. (December 2020)

• Record Type: Journal Article
• Authors: Nicolás-Martín, Carolina; Santos-Martín, David; Chinchilla-Sánchez, Mónica; Lemon, Scott
• Is Part Of: Renewable energy. Volume 161(2020)
• Page Start: 722
• Page End: 735
• Publication Date: 2020-12
• Subjects: Diffuse fraction -- Latitude -- Optimum tilt angle -- Photovoltaic energy -- Albedo; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2020.07.098
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: This manuscript proposes a series of global models to estimate optimum annual tilt angle ( β o p t ) as a function of local variables (latitude, diffuse fraction and albedo) based on the hourly irradiance data of 14, 468 sites spread across the globe from the One Building database. As a result, these models can be used for any location in the absence of local meteorological data. First, a polynomial regression model, applicable worldwide, is proposed to estimate β o p t as a function of latitude. This model fits the global data considered with a 2% RMSE error. Average energy losses are estimated to be 1% for a 10° variation from β o p t . A variation of 40° with respect to β o p t, implies a 12–18% energy loss depending on latitude. In addition, if only latitude is considered to estimate β o p t, different expressions should be used for latitudes > 50 ° depending on the hemisphere. These variations are a result of the influence of diffuse irradiance on β o p t, due to the fact that sites with higher amounts of diffuse irradiance have a lower β o p t . Secondly, a polynomial surface regression model to estimate β o p t as a function of latitude and the annual diffuse fraction is proposed improving the results, reaching a 0.7% RMSE error. Thirdly, a simplified polynomial surface regression model to estimate β o p t as a function of latitude and albedo (without the influence of the diffuse fraction) is proposed, and finally a model gathering all three variables under study (latitude, annual diffuse fraction and albedo) to calculate the optimum tilt angle is presented. Highlights: Model to estimate the annual optimum tilt angle for any location worldwide. Search based model based on polynomial regression, using data from 14468 sites. Studied influence variables on optimum tilt: hemisphere, diffuse fraction and albedo. The energy loss when the optimum tilt angle is misestimated increases with latitude. An estimation of a 0.2 annual albedo is only accurate for absolute latitudes <60°.