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%0 Thesis
%A Wolfertstetter, Fabian Anselm
%T Auswirkungen von Verschmutzung auf konzentrierende solarthermische Kraftwerke
%I RWTH Aachen University
%V Dissertation
%C Aachen
%M RWTH-2017-08665
%P 1 Online-Ressource (205 Seiten) : Illustrationen, Diagramme
%D 2016
%Z Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2017
%Z Dissertation, RWTH Aachen University, 2016
%X The soiling of solar mirrors compromises significantly the efficiency of concentrating solar power (CSP)-plants. It causes a partial loss of incoming radiation when being reflected at the mirror surfaces of the solar field. This reduces the output of the power plant or causes increased cleaning costs. Many potential CSP-sites lackinformation on soiling. In this thesis measurement methods are presented to quantify the effect of soiling. The collected data is applied in a financial yield analysis study and a statistical analysis concerning the meteorological causes of soiling.A novel measurement device called Tracking Cleanliness Sensor (TraCS) is presented. It is an accessory to an existing irradiance measurement station with a solar tracker. It consists of a second pyrheliometer that is installed to measure the direct normal irradiance (DNI) as reflected by a sample mirror. Comparing the reflected to the directly measured DNI is a measurement for the reflectivity of the sample mirror. The parameter cleanliness is calculated by comparing the reflectivity of a soiled mirror to its reflectivity in the clean state. In a next step, the soiling-rate is calculated. The soiling-rate is defined as the daily loss of cleanliness with time. TraCS is a low cost instrument that requires little additional maintenance. Further advantages compared to currently employed measurement methods are its high time resolution, the use of the current sun spectrum and the measurement of alarge mirror surface area of 30 cm2. A soiling-rate dataset of 1, 5 years measured at Plataforma Solar de Almería (PSA) in Spain in daily time resolution is presented and analyzed. The mean soiling-rate is - 0, 0052 /Tag.The dataset is applied in a yield analysis study for two types of power plants at two different sites. The focus lies on the exact reproduction of cleaning activities and costs. Adjustment of cleaning activities to a daily measurement of the soiling-rate can increase the profit of a power plant project over its lifetime. Candidate cleaning strategies are compared to a constant cleaning activity with one vehicle (reference). The increase in profit ranges up to 2, 6 
%F PUB:(DE-HGF)11
%9 Dissertation / PhD Thesis
%R 10.18154/RWTH-2017-08665
%U https://publications.rwth-aachen.de/record/706465