TY - GEN
T1 - Long-Term variability of aerosol optical depth, dust episodes, and direct normal irradiance over Kuwait for CSP Applications
AU - Gueymard, Christian A.
AU - Al-Rasheedi, Majed
AU - Ismail, Alaa
AU - Hussain, Tahani
N1 - Publisher Copyright:
© 2017. The Authors.
PY - 2017
Y1 - 2017
N2 - Two sources of aerosol data (from ground-based sunphotometry and long-term reanalysis), as well as irradiance data (from ground-based radiometric measurements) are investigated here. The daily, seasonal and interannual variability of aerosol optical depth is evaluated over Kuwait. Based on the MERRA-2 reanalysis, long-term aerosol trends are also established over the period 1980-2016, showing a slight increase in aerosol optical depth (AOD) since about 2000. This is conducive to a concomitant decrease in the direct normal irradiance (DNI) resource of ≈2% per decade, which can affect concentrating solar power (CSP) projects over the long-term. When compared with sunphotometer data from two AERONET stations located at a distance of only 90 km, but in somewhat differing environments, shortcomings are found in the aerosol data from the MERRA-2 reanalysis. Both bias and scatter are found in the hourly and daily AOD data, as well as occasional mismatch in the prediction of the more-or-less frequent AOD spikes caused by dust storm episodes. The use of MERRA-2 aerosol data for the prediction of clear-sky DNI with a high-performance irradiance model results in underestimation (of ≈13% on average) and substantial scatter on a 1-min basis, based on a comparison with co-located, high-quality DNI data.
AB - Two sources of aerosol data (from ground-based sunphotometry and long-term reanalysis), as well as irradiance data (from ground-based radiometric measurements) are investigated here. The daily, seasonal and interannual variability of aerosol optical depth is evaluated over Kuwait. Based on the MERRA-2 reanalysis, long-term aerosol trends are also established over the period 1980-2016, showing a slight increase in aerosol optical depth (AOD) since about 2000. This is conducive to a concomitant decrease in the direct normal irradiance (DNI) resource of ≈2% per decade, which can affect concentrating solar power (CSP) projects over the long-term. When compared with sunphotometer data from two AERONET stations located at a distance of only 90 km, but in somewhat differing environments, shortcomings are found in the aerosol data from the MERRA-2 reanalysis. Both bias and scatter are found in the hourly and daily AOD data, as well as occasional mismatch in the prediction of the more-or-less frequent AOD spikes caused by dust storm episodes. The use of MERRA-2 aerosol data for the prediction of clear-sky DNI with a high-performance irradiance model results in underestimation (of ≈13% on average) and substantial scatter on a 1-min basis, based on a comparison with co-located, high-quality DNI data.
KW - Aerosol optical depth (AOD)
KW - CSP
KW - Direct normal irradiance (DNI)
KW - Dust storms
KW - MERRA2
UR - http://www.scopus.com/inward/record.url?scp=85039722768&partnerID=8YFLogxK
U2 - 10.18086/swc.2017.04.04
DO - 10.18086/swc.2017.04.04
M3 - Conference contribution
AN - SCOPUS:85039722768
T3 - ISES Solar World Congress 2017 - IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2017, Proceedings
SP - 75
EP - 84
BT - ISES Solar World Congress 2017 - IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2017, Proceedings
A2 - Renne, David
A2 - Griffiths, Steven
A2 - Romero, Manuel
A2 - Guthrie, Ken
A2 - Mugnier, Daniel
PB - International Solar Energy Society
T2 - ISES Solar World Conference 2017, SWC 2017 and 5th International Conference on Solar Heating and Cooling Conference for Buildings and Industry 2017, SHC 2017
Y2 - 29 October 2017 through 2 November 2017
ER -