TY - GEN
T1 - Investigating PV Soiling Mapping
T2 - 52nd IEEE Photovoltaic Specialist Conference, PVSC 2024
AU - Aïssa, Brahim
AU - Zekri, Atef
AU - Subeh, Mosab I.A.Kareem
AU - Lopez-Garcia, Juan
AU - Benito, Veronica Bermudez
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/11/15
Y1 - 2024/11/15
N2 - The efficient operation of photovoltaic (PV) systems is essential for sustainable energy production, and one critical factor affecting their performance is the accumulation of dust and particulate matter, known as soiling. This work presents the investigation into PV soiling in a desert environment, using a case study in the State of Qatar. The study employs a multi-faceted approach, including the analysis of the morphological, structural and compositional properties of the dust particles, the effect of soiling as measured by hemispherical transmittance at different wavelengths and by different soiling quantification methods, including particle mass, surface coverage, transmission loss, and cleanliness index (δCI), are compared, revealing insights into the nature of soiling. The results reveal a very low mismatch of approximately 0.02% between dust IQ and δCI thus validating the use of these advanced sensors for soiling assessment.
AB - The efficient operation of photovoltaic (PV) systems is essential for sustainable energy production, and one critical factor affecting their performance is the accumulation of dust and particulate matter, known as soiling. This work presents the investigation into PV soiling in a desert environment, using a case study in the State of Qatar. The study employs a multi-faceted approach, including the analysis of the morphological, structural and compositional properties of the dust particles, the effect of soiling as measured by hemispherical transmittance at different wavelengths and by different soiling quantification methods, including particle mass, surface coverage, transmission loss, and cleanliness index (δCI), are compared, revealing insights into the nature of soiling. The results reveal a very low mismatch of approximately 0.02% between dust IQ and δCI thus validating the use of these advanced sensors for soiling assessment.
UR - http://www.scopus.com/inward/record.url?scp=85211579949&partnerID=8YFLogxK
U2 - 10.1109/PVSC57443.2024.10748921
DO - 10.1109/PVSC57443.2024.10748921
M3 - Conference contribution
AN - SCOPUS:85211579949
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 459
EP - 461
BT - 2024 IEEE 52nd Photovoltaic Specialist Conference, PVSC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 June 2024 through 14 June 2024
ER -