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Developing regional calibration coefficients for estimation of hourly global solar radiation in Ireland

  • Kazeem Abiodun Ishola*
  • , Rowan Fealy
  • , Gerald Mills
  • , Reamonn Fealy
  • , Stuart Green
  • , Azucena Jimenez-Casteneda
  • , Oluwafemi E. Adeyeri
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This study proposed regional coefficients for estimating hourly global solar radiation through the adaptation of some empirical models that relate radiation to climatological and geographical variables. A total of 10 models were adapted over 7 stations in Ireland. The performance of the models was evaluated using some selected error indicators including the global performance index which combines all other error indices. The results indicated that the sunshine based regional calibration coefficients generated through a polynomial approach was most superior over other models with the lowest RMSE (0.2–0.3 MJm−2 hr−1 ), MAE (0.1–0.2 MJm−2 hr−1 ) and Pbias (0–7.0%) and highest R2 and KGE (>0.85). The study found no local effect such as instrumental siting, observational uncertainty and climate on the variations of these coefficients. This outcome will therefore facilitate the design of various local and/or regional solar energy applications at microscale in a temperate region.
Original languageEnglish
Pages (from-to)297-311
Number of pages15
JournalInternational Journal of Sustainable Energy
Volume38
Issue number3
Online published14 Jul 2018
DOIs
Publication statusPublished - 16 Mar 2019
Externally publishedYes

Bibliographical note

Month information for this publication is provided by the author(s) concerned.

Funding

This work is supported by Teagasc Irish Agriculture and Food Development Authority under the project ref: 2016076. We appreciate the Irish Meteorological Service for providing the data used for this study. The contributions of the reviewers to improving the quality of this paper are also acknowledged. This work is supported by Teagasc Irish Agriculture and Food Development Authority under the project ref: 2016076.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • calibration coefficients
  • Global radiation
  • solar energy applications

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