Articles producció científica> Enginyeria Mecànica

Evaluation of Empirical Daily Solar Radiation Models for the Northeast Coast of the Iberian Peninsula

  • Identification data

    Identifier: imarina:9295594
    Authors:
    Vernet, AFabregat, A
    Abstract:
    The ability to accurately predict daily solar radiation reaching the earth’s surface is essential in applications such as solar power generation. Given their ease of use, many empirical models have been proposed based on different dependent variables such as cloud cover, daily temperature range, etc. In this study we evaluate 23 of these models for the prediction of daily solar radiation in the northern coastal zone of the Iberian Peninsula. Daily measurements during the period 2000–2018 from 16 meteorological stations spread over this area are used to adjust the parameters of each model, whose predictive capacity is then evaluated using measurements made between 2019 and 2022. Using different statistical metrics to assess their predictive performance, it was found that models based on hours of sunshine and level of cloudiness are significantly more accurate than those based on maximum and minimum daily temperature and day of the year. Specifically, the sunshine-based model by SBM3 obtained the highest Global Performance Indicator at 5.05. The results offer insight on the ability of each type of empirical model to accurately predict daily solar radiation in the Mediterranean region.
  • Others:

    Author, as appears in the article.: Vernet, A; Fabregat, A
    Department: Enginyeria Mecànica
    URV's Author/s: Fabregat Tomàs, Alexandre / Vernet Peña, Antonio
    Keywords: Solar radiation Regression Mediterranean area Empirical models
    Abstract: The ability to accurately predict daily solar radiation reaching the earth’s surface is essential in applications such as solar power generation. Given their ease of use, many empirical models have been proposed based on different dependent variables such as cloud cover, daily temperature range, etc. In this study we evaluate 23 of these models for the prediction of daily solar radiation in the northern coastal zone of the Iberian Peninsula. Daily measurements during the period 2000–2018 from 16 meteorological stations spread over this area are used to adjust the parameters of each model, whose predictive capacity is then evaluated using measurements made between 2019 and 2022. Using different statistical metrics to assess their predictive performance, it was found that models based on hours of sunshine and level of cloudiness are significantly more accurate than those based on maximum and minimum daily temperature and day of the year. Specifically, the sunshine-based model by SBM3 obtained the highest Global Performance Indicator at 5.05. The results offer insight on the ability of each type of empirical model to accurately predict daily solar radiation in the Mediterranean region.
    Thematic Areas: Zootecnia / recursos pesqueiros Renewable energy, sustainability and the environment Renewable energy, sustainability and the environm Interdisciplinar General computer science Fuel technology Engineering (miscellaneous) Engenharias iv Engenharias iii Engenharias ii Energy engineering and power technology Energy (miscellaneous) Energy & fuels Electrical and electronic engineering Economia Control and optimization Ciências ambientais Ciências agrárias i Ciência da computação Building and construction Biotecnología Biodiversidade Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: alexandre.fabregat@urv.cat anton.vernet@urv.cat
    Author identifier: 0000-0002-6032-2605 0000-0002-7028-1368
    Record's date: 2024-08-03
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/1996-1073/16/6/2560
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Energies. 16 (6):
    APA: Vernet, A; Fabregat, A (2023). Evaluation of Empirical Daily Solar Radiation Models for the Northeast Coast of the Iberian Peninsula. Energies, 16(6), -. DOI: 10.3390/en16062560
    Article's DOI: 10.3390/en16062560
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Publication Type: Journal Publications
  • Keywords:

    Control and Optimization,Electrical and Electronic Engineering,Energy & Fuels,Energy (Miscellaneous),Energy Engineering and Power Technology,Engineering (Miscellaneous),Fuel Technology,Renewable Energy, Sustainability and the Environm,Renewable Energy, Sustainability and the Environment
    Solar radiation
    Regression
    Mediterranean area
    Empirical models
    Zootecnia / recursos pesqueiros
    Renewable energy, sustainability and the environment
    Renewable energy, sustainability and the environm
    Interdisciplinar
    General computer science
    Fuel technology
    Engineering (miscellaneous)
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Energy engineering and power technology
    Energy (miscellaneous)
    Energy & fuels
    Electrical and electronic engineering
    Economia
    Control and optimization
    Ciências ambientais
    Ciências agrárias i
    Ciência da computação
    Building and construction
    Biotecnología
    Biodiversidade
    Astronomia / física
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