New methodologies and improved models in the estimation of solar irradiation
type: CreativeWork
description: The wide development of solar energy, technical agriculture and climate monitoring happening in these years requires a better knowledge of incoming solar irradiation. Although solar irradiation can be measured with pyranometers with high accuracy if correctly maintained, there is a lack of these sensors in most of the countries and regions. Besides, the high spatial and temporal variability of solar irradiation make measurements from relatively nearby stations not reliable for certain applications. As a result, solar irradiation must be frequently modelled and estimated. Many different approaches have been proposed in the last decades for generating solar irradiation out of other commonly measured meteorological variables such as temperatures, rainfall and sunshine duration. More recently, other techniques using sensors onboard satellites are able to provide solar irradiation with a higher spatial coverage. Furthermore, novel machine learning techniques can generate accurate estimations of solar irradiation. However, despite the massive development of all these techniques, still there are some drawbacks and issues in the estimation of solar irradiation directly affecting accuracy. In this context, this thesis focuses on two main blocks of studies: the temporal and the spatial methods for the estimation of solar irradiation. Beginning by traditional models, models were benchmarked based on the errors and robustness and their capacity of spatial generalization was also evaluated. From this point, more complex techniques such as support vector regression with a special optimization procedure were proposed and results were compared to parametric models. To end the block of temporal models, a wide range of satellite-based models were studied to evaluate the sources of uncertainty and error in the estimation of global and also beam irradiation under different scenarios. Regarding the spatial methods, satellite-based estimations were compared to on-ground measurements and …
abstract: The wide development of solar energy, technical agriculture and climate monitoring happening in these years requires a better knowledge of incoming solar irradiation. Although solar irradiation can be measured with pyranometers with high accuracy if correctly maintained, there is a lack of these sensors in most of the countries and regions. Besides, the high spatial and temporal variability of solar irradiation make measurements from relatively nearby stations not reliable for certain applications. As a result, solar irradiation must be frequently modelled and estimated. Many different approaches have been proposed in the last decades for generating solar irradiation out of other commonly measured meteorological variables such as temperatures, rainfall and sunshine duration. More recently, other techniques using sensors onboard satellites are able to provide solar irradiation with a higher spatial coverage. Furthermore, novel machine learning techniques can generate accurate estimations of solar irradiation. However, despite the massive development of all these techniques, still there are some drawbacks and issues in the estimation of solar irradiation directly affecting accuracy. In this context, this thesis focuses on two main blocks of studies: the temporal and the spatial methods for the estimation of solar irradiation. Beginning by traditional models, models were benchmarked based on the errors and robustness and their capacity of spatial generalization was also evaluated. From this point, more complex techniques such as support vector regression with a special optimization procedure were proposed and results were compared to parametric models. To end the block of temporal models, a wide range of satellite-based models were studied to evaluate the sources of uncertainty and error in the estimation of global and also beam irradiation under different scenarios. Regarding the spatial methods, satellite-based estimations were compared to on-ground measurements and …
author: Antoñanzas Torres, Fernando
language: eng
date published: 2016
date modified: 2026-07-24T06:26:49Z
provider: Dialnet
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Universidad de La Rioja (España)