Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors.

Gutierrez Corea, Federico Vladimir; Manso Callejo, Miguel Ángel; Moreno Regidor, Maria Pilar y Velasco Gomez, Jesus (2014). Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors.. "Sensors", v. 14 (n. 4); pp. 6758-6787. ISSN 1424-8220. https://doi.org/10.3390/s140406758.

Descripción

Título: Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors.
Autor/es:
  • Gutierrez Corea, Federico Vladimir
  • Manso Callejo, Miguel Ángel
  • Moreno Regidor, Maria Pilar
  • Velasco Gomez, Jesus
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: 2014
Volumen: 14
Materias:
Palabras Clave Informales: Spatial interpolation; 15-minute Global Solar Radiation; volunteer stations
Escuela: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Departamento: Ingeniería Topográfica y Cartografía [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This study was motivated by the need to improve densification of Global Horizontal Irradiance (GHI) observations, increasing the number of surface weather stations that observe it, using sensors with a sub-hour periodicity and examining the methods of spatial GHI estimation (by interpolation) with that periodicity in other locations. The aim of the present research project is to analyze the goodness of 15-minute GHI spatial estimations for five methods in the territory of Spain (three geo-statistical interpolation methods, one deterministic method and the HelioSat2 method, which is based on satellite images). The research concludes that, when the work area has adequate station density, the best method for estimating GHI every 15 min is Regression Kriging interpolation using GHI estimated from satellite images as one of the input variables. On the contrary, when station density is low, the best method is estimating GHI directly from satellite images. A comparison between the GHI observed by volunteer stations and the estimation model applied concludes that 67% of the volunteer stations analyzed present values within the margin of error (average of +-2 standard deviations).

Más información

ID de Registro: 25550
Identificador DC: http://oa.upm.es/25550/
Identificador OAI: oai:oa.upm.es:25550
Identificador DOI: 10.3390/s140406758
URL Oficial: http://www.mdpi.com/1424-8220/14/4/6758
Depositado por: Memoria Investigacion
Depositado el: 29 Abr 2014 14:38
Ultima Modificación: 14 May 2015 17:16
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