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

Gutierrez Corea, Federico Vladimir and Manso Callejo, Miguel Ángel and Moreno Regidor, Maria Pilar and 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.

Description

Title: Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors.
Author/s:
  • Gutierrez Corea, Federico Vladimir
  • Manso Callejo, Miguel Ángel
  • Moreno Regidor, Maria Pilar
  • Velasco Gomez, Jesus
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2014
ISSN: 1424-8220
Volume: 14
Subjects:
Freetext Keywords: Spatial interpolation; 15-minute Global Solar Radiation; volunteer stations
Faculty: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Department: Ingeniería Topográfica y Cartografía [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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).

More information

Item ID: 25550
DC Identifier: http://oa.upm.es/25550/
OAI Identifier: oai:oa.upm.es:25550
DOI: 10.3390/s140406758
Official URL: http://www.mdpi.com/1424-8220/14/4/6758
Deposited by: Memoria Investigacion
Deposited on: 29 Apr 2014 14:38
Last Modified: 14 May 2015 17:16
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