Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/129799
Title: Validation of a 3D local-scale adaptive solar radiation model by using pyranometer measurements and a high-resolution digital elevation model
Authors: Rodríguez, Eduardo 
García-Ferrero, Judit
Sánchez-Aparicio, María
Iglesias, José M.
Oliver Serra, Albert 
Santos, M. Jesús
Andrés-Anaya, Paula
Cascón, J. Manuel
Montero García, Gustavo 
Medina, Alejandro
Lagüela, Susana
Asensio, M. Isabel
Montenegro Armas, Rafael 
UNESCO Clasification: 1206 Análisis numérico
Keywords: Adaptive mesh
Complex orography
High-resolution DEM
LIDAR data
Pyranometer measurement, et al
Issue Date: 2024
Project: Infraestructura de Computación Científica Para Aplicaciones de Inteligencia Artificialy Simulación Numérica en Medioambientey Gestión de Energías Renovables (Iusiani-Ods) 
Journal: Sensors (Switzerland) 
Abstract: The result of the multidisciplinary collaboration of researchers from different areas of knowledge to validate a solar radiation model is presented. The MAPsol is a 3D local-scale adaptive solar radiation model that allows us to estimate direct, diffuse, and reflected irradiance for clear sky conditions. The model includes the adaptation of the mesh to complex orography and albedo, and considers the shadows cast by the terrain and buildings. The surface mesh generation is based on surface refinement, smoothing and parameterization techniques and allows the generation of high-quality adapted meshes with a reasonable number of elements. Another key aspect of the paper is the generation of a high-resolution digital elevation model (DEM). This high-resolution DEM is constructed from LiDAR data, and its resolution is two times more accurate than the publicly available DEMs. The validation process uses direct and global solar irradiance data obtained from pyranometers at the University of Salamanca located in an urban area affected by systematic shading from nearby buildings. This work provides an efficient protocol for studying solar resources, with particular emphasis on areas of complex orography and dense buildings where shadows can potentially make solar energy production facilities less efficient.
URI: http://hdl.handle.net/10553/129799
ISSN: 1424-8220
DOI: 10.3390/s24061823
Source: Sensors [EISSN 1424-8220], v. 24 (6), (Marzo 2024)
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