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Modelling the soiling rate: Dependencies on meteorological parameters

Wolfertstetter, Fabian and Wilbert, Stefan and Terhag, Felix and Hanrieder, Natalie and Fernandez-Garcia, Arantxa and Sansom, Christopher and King, Peter and Zarzalejo, L.F. and Ghennioui, Abdellatif (2019) Modelling the soiling rate: Dependencies on meteorological parameters. In: AIP Conference Proceedings, 2126 (190018), pp. 1-11. SolarPACES Conference 2018, 8.-12. Okt. 2018, Casablanca, Morocco. DOI: 10.1063/1.5117715

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Official URL: https://aip.scitation.org/doi/abs/10.1063/1.5117715

Abstract

Concentrating solar power (CSP) plants are often located in dusty environments. Soiling depends strongly on location, time, weather conditions and mirror orientation and is characterized by the soiling rate: the loss of the specular reflectance due to soiling per time interval. The average soiling rate can reach 2%/day on sites with heavy dust loads such as the Arabian Peninsula. On some days (for example during a sandstorm) the soiling rate can be significantly higher than that. Measurement campaigns for the soiling rate are of interest for the CSP plant site selection and the plant design, but they are time consuming and costly. In this study, a soiling model is presented that describes particle deposition processes based on physical equations from where the soiling rate can be derived. The model uses easily measureable meteorological parameters such as aerosol particle number concentration, wind speed and direction at 10 m height, relative humidity, temperature and precipitation as input parameters. The model has been optimized and validated using measurement data from two sites in Morocco and Spain. The measurement data have been divided into two parts. One was used to find optimum model parameters by parameterization. The second dataset was used to validate the model. The model reaches a bias of 0.1%/d and a root mean square deviation of 0.4 %/d. Days with weak soiling (<1%/d) rates are identified with an accuracy of more than 90 %, the question whether or not the soiling rate is above 1%/d is answered correctly in 85 % of the cases.

Item URL in elib:https://elib.dlr.de/128833/
Document Type:Conference or Workshop Item (Speech)
Title:Modelling the soiling rate: Dependencies on meteorological parameters
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Wolfertstetter, Fabianfabian.wolfertstetter (at) dlr.dehttps://orcid.org/0000-0003-4323-8433
Wilbert, StefanStefan.Wilbert (at) dlr.dehttps://orcid.org/0000-0003-3573-3004
Terhag, FelixSF-QLFUNSPECIFIED
Hanrieder, NatalieNatalie.Hanrieder (at) dlr.dehttps://orcid.org/0000-0002-9671-351X
Fernandez-Garcia, ArantxaCIEMAT-PSAUNSPECIFIED
Sansom, ChristopherCranfield UniversityUNSPECIFIED
King, PeterCranfield UniversityUNSPECIFIED
Zarzalejo, L.F.CIEMATUNSPECIFIED
Ghennioui, AbdellatifIRESENUNSPECIFIED
Date:25 July 2019
Journal or Publication Title:AIP Conference Proceedings
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:2126
DOI :10.1063/1.5117715
Page Range:pp. 1-11
Status:Published
Keywords:dust, soiling,particle Deposition process,
Event Title:SolarPACES Conference 2018
Event Location:Casablanca, Morocco
Event Type:international Conference
Event Dates:8.-12. Okt. 2018
Organizer:SolarPACES
HGF - Research field:Energy
HGF - Program:Renewable Energies
HGF - Program Themes:Concentrating Solar Thermal Technology
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Impact of Desert Environment
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Qualification
Deposited By: Kruschinski, Anja
Deposited On:20 Nov 2019 15:18
Last Modified:26 Jul 2020 03:00

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