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dc.contributor.authorHasla, Helene Arnesen
dc.date.accessioned2018-09-18T06:49:44Z
dc.date.available2018-09-18T06:49:44Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11250/2563058
dc.descriptionMaster's thesis Renewable Energy ENE500 - University of Agder 2018nb_NO
dc.description.abstractThe spectral response of the photovoltaic (PV) cell depends on which technology that is used and the outdoor performance of PV modules depends on solar irradiation, module temperature, and solar spectrum. Therefore, di erent locations should give di erent PV performance outcome. This thesis investigates local spectral irradiance measurements, which will be analysed to document irradiance conditions, and give an indication of which PV technology to prefer in Southern Norway. A spectroradiometer is calibrated for use to measure the spectral irradiance at the University of Agder in Grimstad. From February to April in 2018, spectral irradiance data were collected. These data are used to analyse the spectral irradiance distribution during the months. Moreover, with the Simple Model for the Atmospheric Radiative Transfer of Sunshine version (SMARTS) and data from the nearby air station, di erent atmospheric parameters are analysed to test their in uence on the spectra. A literature review of the Average Photon Energy (APE) presented, and APE is used further to characterize the spectral irradiance. APE from this thesis work is from 1:95 􀀀 2:1 eV. The APE value is used to determine if the spectra are classi ed as blue rich or red rich. APE values from May and April are blue rich, while in February the majority of APE values are red rich. In addition to analysing the atmospheric parameter with SMARTS, a model for a clear sky for each month is made. From the spectral irradiance measurements with a spectrometer, only the spectral irradiance from 300 to 900 nm in uenced by noise. A model made in SMARTS gives the opportunity to get the complete spectrum. Spectral response (SR) curves for a-Si, c-Si, CIGS, and CdTe PV modules is used to calculate their short circuit current density with both the measured data and the SMARTS models. The maximum power output is also calculated with the SMARTS models. The results show that CIGS gives best PV performance. However, the results for CIGS and c-Si is close and are both suitable PV technologies to use for the Southern Norway conditions.nb_NO
dc.language.isoengnb_NO
dc.publisherUniversitetet i Agder ; University of Agdernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectENE500nb_NO
dc.titleMeasurements and analysis of spectral irradiance distributions in southern Norwaynb_NO
dc.typeMaster thesisnb_NO
dc.subject.nsiVDP::Teknologi: 500::Elektrotekniske fag: 540nb_NO
dc.source.pagenumber145 p.nb_NO


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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