A new predictive solar radiation numerical model

F. Díaz, G. Montero, J.M. Escobar, E. Rodríguez and R. Montenegro

Applied Mathematics and Computation, 2015, vol. 267, issue C, 596-603

Abstract: A solar radiation numerical model is presented. With it, the user can estimate the radiation values in any location easily and compute the solar power generation taking into account not only the radiation level, but also the terrain surface conditions considering the cast shadows. The terrain surface is taken into account, using 2-D adaptive meshes of triangles which are constructed using a refinement/derefinement procedure in accordance with the variations of terrain surface and albedo. The model can be used in atmospheric sciences as well as in electrical engineering since it allows the user to find the optimal location for the maximum power generation in photovoltaic or solar thermal power exploitations. For this purpose, the effect of shadows is considered in each time step. Solar radiation is first computed for clear-sky conditions and then, real-sky values are computed daily in terms of the clear-sky index. Maps for clear-sky index are obtained from a spatial interpolation of observational data which are available for each day at several points of the studied zone. Finally, the solar radiation maps of a month are calculated from the daily results. However, for power system management purposes, it is very important to know the amount of energy that a facility can introduce into the grid in a future. That is why a predictive tool has been developed. So, the model can be applied in solar radiation forecasting using a meteorological model. The estimation of daily solar radiation provided by such model is used to adjust the clear sky results and, then, to obtain the real sky radiation.

Keywords: Solar radiation; Adaptive meshes; Solar power; Forecasting (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:267:y:2015:i:c:p:596-603

DOI: 10.1016/j.amc.2015.01.036

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