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Mineral dust modeling for optimizing operation and maintenance procedures in concentrated solar power plants

Karnezi, Eleni and Wolfertstetter, Fabian and Hanrieder, Natalie and Wilbert, Stefan and Basart, Sara and Soret, Albert and Perez Garcia-Pando, Carlos (2019) Mineral dust modeling for optimizing operation and maintenance procedures in concentrated solar power plants. EMS, 9. - 13. September 2019, Copenhagen.

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Abstract

Concentrated solar power (CSP) plants are being implemented in dusty environments such as the Middle East and North Africa where solar radiation is high. However, these areas are usually dry and typically have scarce water resources. The minimization of soiling-induced losses together with the reduction of cleaning costs is a challenge for operators and project planners. The H2020SOLWATT project targets to significantly reduce the water used by CSP plants. Within SOLWATT, our goal is to implement an operational soiling rate forecast product for the Middle East, North Africa and Europe. The product will be based on the combination of the MONARCH dust forecast System developed and operated by the Barcelona Supercomputing Center and an empirical soiling model developed by the DLR Institute of Solar Research. The resulting soiling forecast system is expected to help operators optimizing cleaning schedules and to serve as an input to a Dispatch and Operation & Maintenance optimizer. MONARCH is based on the online coupling of the meteorological Nonhydrostatic Multiscale Model with a full aerosol-chemistry module. The model provides operational regional mineral dust forecasts for the World Meteorological Organization (WMO; https://dust.aemet.es/), and participates to the WMO Sand and Dust Storm Warning Advisory and Assessment System for Northern Africa-Middle East-Europe (http://sds-was.aemet.es/). The DLR soiling model is a physical model that predicts the soiling rate for a CSP collector from weather parameters like wind speed, particle number concentration, relative humidity and temperature. The model has been optimized and validated using measurement data from two sites in Morocco and Spain. We evaluate forecasts from MONARCH against the AERONET SDA (Spectral De-Convolution Algorithm) AOD coarse product and deposition measurements in North Africa, Middle East and Spain. We also provide and evaluation of the coupled MONARCH-DLR soiling forecast system for various forecasting horizons with soiling rate data from two CSP operational sites.

Item URL in elib:https://elib.dlr.de/133834/
Document Type:Conference or Workshop Item (Speech)
Title:Mineral dust modeling for optimizing operation and maintenance procedures in concentrated solar power plants
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Karnezi, EleniBSC-CNSUNSPECIFIED
Wolfertstetter, Fabianfabian.wolfertstetter (at) dlr.dehttps://orcid.org/0000-0003-4323-8433
Hanrieder, NatalieNatalie.Hanrieder (at) dlr.deUNSPECIFIED
Wilbert, StefanStefan.Wilbert (at) dlr.dehttps://orcid.org/0000-0003-3573-3004
Basart, SaraBSC, Barcelona, SpanienUNSPECIFIED
Soret, AlbertBSC-CNSUNSPECIFIED
Perez Garcia-Pando, CarlosBSC-CNSUNSPECIFIED
Date:2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:soiling
Event Title:EMS
Event Location:Copenhagen
Event Type:international Conference
Event Dates:9. - 13. September 2019
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:23 Jan 2020 10:58
Last Modified:23 Jan 2020 10:58

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