Imperial College London
Portrait Picture

Professor Helen Brindley

Faculty of Natural Sciences, Department of Physics

Professor in Earth Observation
 
 
 
//

Contact

 

+44 (0)20 7594 7673h.brindley

 
 
//

Location

 

717Huxley BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Choi:2021:10.1016/j.renene.2021.03.127,
author = {Choi, TH and Brindley, H and Ekins-Daukes, N and Escobar, R},
doi = {10.1016/j.renene.2021.03.127},
journal = {Renewable Energy},
pages = {1070--1086},
title = {Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications},
url = {http://dx.doi.org/10.1016/j.renene.2021.03.127},
volume = {173},
year = {2021}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We describe four schemes designed to estimate spectrally resolved direct normal irradiance (DNI) formulti-junction concentrator photovoltaic systems applications. The schemes have increasing levels ofcomplexity in terms of aerosol and circumsolar irradiance (CSI) treatment, ranging from a climatologicalaerosol classification with no account of CSI, to an approach which includes explicit aerosol typing andtype 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 anaverage bias of þ 0:068%, well within photometer calibration uncertainties. The average spread of erroris 2:5%. These statistics are markedly better than the climatological approach, which carries an averagebias 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 relevantwavelength domain. This approach results in systematic under and over-estimations of DNI at short andlong wavelengths respectively. Incorporating spectral CSI particularly benefits sites which experience asignificant amount of coarse aerosol. All approaches we describe use freely available reanalyses andsoftware tools, and can be easily applied to alternative aerosol measurements, including those fromsatellite.
AU  - Choi,TH
AU  - Brindley,H
AU  - Ekins-Daukes,N
AU  - Escobar,R
DO  - 10.1016/j.renene.2021.03.127
EP  - 1086
PY  - 2021///
SN  - 0960-1481
SP  - 1070
TI  - Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications
T2  - Renewable Energy
UR  - http://dx.doi.org/10.1016/j.renene.2021.03.127
UR  - https://www.sciencedirect.com/science/article/pii/S0960148121004894?via%3Dihub
UR  - http://hdl.handle.net/10044/1/87203
VL  - 173
ER  -
Download