IRUS Total

Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications

File Description SizeFormat 
manuscript.pdfAccepted version9.41 MBAdobe PDFView/Open
Title: Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications
Authors: Choi, TH
Brindley, H
Ekins-Daukes, N
Escobar, R
Item Type: Journal Article
Abstract: We describe four schemes designed to estimate spectrally resolved direct normal irradiance (DNI) for multi-junction concentrator photovoltaic systems applications. The schemes have increasing levels of complexity in terms of aerosol and circumsolar irradiance (CSI) treatment, ranging from a climatological aerosol classification with no account of CSI, to an approach which includes explicit aerosol typing and type dependent CSI contribution. When tested against ground-based broadband and spectral measurements at five sites spanning a range of aerosol conditions, the most sophisticated scheme yields an average bias of þ 0:068%, well within photometer calibration uncertainties. The average spread of error is 2:5%. These statistics are markedly better than the climatological approach, which carries an average bias of 1:76% and a spread of 4%. They also improve on an intermediate approach which uses Angstrom€ exponents to estimate the spectral variation in aerosol optical depth across the solar energy relevant wavelength domain. This approach results in systematic under and over-estimations of DNI at short and long wavelengths respectively. Incorporating spectral CSI particularly benefits sites which experience a significant amount of coarse aerosol. All approaches we describe use freely available reanalyses and software tools, and can be easily applied to alternative aerosol measurements, including those from satellite.
Issue Date: Aug-2021
Date of Acceptance: 25-Mar-2021
URI: http://hdl.handle.net/10044/1/87203
DOI: 10.1016/j.renene.2021.03.127
ISSN: 0960-1481
Publisher: Elsevier
Start Page: 1070
End Page: 1086
Journal / Book Title: Renewable Energy
Volume: 173
Copyright Statement: © 2021 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Natural Environment Research Council (NERC)
Funder's Grant Number: JJR/NCEO/ContFP1
Keywords: 0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
0915 Interdisciplinary Engineering
Publication Status: Published
Online Publication Date: 2021-03-30
Appears in Collections:Space and Atmospheric Physics
Faculty of Natural Sciences

This item is licensed under a Creative Commons License Creative Commons