Solar Radiation Interpolation

Actas del XIX Congreso de Tecnologías de la Información Geográfica. TIG al servicio de los ODS Zaragoza, 12 a 14 de septiembre de 2022

“…El relieve, las superficies afectadas por sombras, las condiciones atmosféricas y las diferencias estacionales son algunos de los principales factores. Para el cálculo de la radiación solar hemos empleado el procedimiento incluido en el modelo gSolarRoof que emplea la herramienta 'Radiación solar de áreas' integrada en el software ArcGIS, que permite representar la radiación en un periodo de tiempo definido para un área geográfica (Martín y Domínguez, 2019). El análisis realizado da como resultado la radiación solar global en cada ubicación de una superficie determinada.…”

Maximizing the sustainability net present value of renewable energy supply networks

“…In the first category, the methods partially model the spatial autocorrelation through mathematical functions; some of these methods are Natural Neighbor (NaN), Inverse Distance Weight (IDW), Triangular Irregular Network (TIN), Regression models, among others. In the second category, the methods simulate the spatial data autocorrelation and evaluate the uncertainty of the results to carry out the interpolation processes such as Kriging that which is the most commonly used method (Bhattacharjee et al, 2019;Martín & Dominguez, 2019;Sankar et al, 2018).…”

“…Li & Heap, 2008). This expression shows that the farthest sampled point has the lowest contribution to the calculation (Martín & Dominguez, 2019).The main factor influencing the method accuracy is the exponent selected arbitrarily as the neighborhood size. When the p parameter value increases, the weight value diminishes.…”

“…Li & Heap, 2008).The non-geostatistical techniques estimate no-sampled points values with adjusted mathematical functions according to sampled points information. The geostatistical techniques establish a spatial correlation between data (Martín & Dominguez, 2019). The sampled points number is decisive to define the information quality because the solar irradiance value is affected not only by cloudiness, aerosols, relative humidity, among other factors, but also by the physiography and soil type of the study site (Jeffrey et al, 2001;Şen, 2008).…”

Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and León, Spain

“…Geographic Information Systems (GIS) offer different options to analyze and represent the spatial heterogeneity of the incident solar radiation in a given area. Martín and Dominguez [ 24 ] presented a description of the methods for estimating the distribution of solar radiation in geographical areas, from a sample of data, using deterministic techniques (global polynomial interpolation, local polynomial interpolation, inverse distance weighting and radial basis functions) and geostatistical techniques (kriging and co-kriging) applying them for the summer solstice 2011, from 45 stations in Spain. Indeed, the global polynomial method presents interpolations closer to the real value, the geostatistical methods, in turn, generally present very low squared errors (the universal kriging and the ordinary co-kriging are those that show the best adequacy in the results).…”