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Optimization of the radiative flux uniformity of a modular solar simulator to improve solar technology qualification testing
Ctr Invest Opt, AC Unidad Aguascalientes, Prol Constituc 607, Aguascalientes 20200, Aguascalientes, Mexico..
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology.ORCID iD: 0000-0003-4134-3520
CONACYT Ctr Invest Opt, AC Unidad Aguascalientes, Prol Constituc 607, Aguascalientes 20200, Aguascalientes, Mexico..
2021 (English)In: Sustainable Energy Technologies and Assessments, ISSN 2213-1388, E-ISSN 2213-1396, Vol. 47, article id 101372Article in journal (Refereed) Published
Abstract [en]

Solar simulators are key facilities for conducting solar research and certification tests under a well-controlled environment. This study presents the optical design optimization of a modular low flux solar simulator to improve solar technology qualification testing. The optical system was designed as a multi-lamp array of 26 subunits. Each subunit consists of a 575 We metal halide lamp and a parabolic reflector. The Monte Carlo ray tracing technique was used for analyzing the optical performances of the proposed design. Reflector design parameters were analyzed in detail for optimizing the uniformity of the flux distribution on the target. Results show that an average flux of 1198 W/m(2) over a target area of 2000 mm x 1000 mm, with a conversion efficiency of 25.7% and a sustained non-uniformity of only 1.4% was numerically achieved, predicting a Class A solar simulator for large target areas. A shutter curtain was modeled and introduced between the light source and the target for flux regulation, achieving average flux levels ranging from 1162 to 105 W/m(2) with a resolution of approximately 100 W/m(2). The modular nature of this design has the great advantage that it could be easily scaled according to the test requirements of potential solar systems.

Place, publisher, year, edition, pages
Elsevier BV , 2021. Vol. 47, article id 101372
Keywords [en]
Monte Carlo ray-tracing analysis, Solar simulator, Radiative flux distribution, Uniformity
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-304873DOI: 10.1016/j.seta.2021.101372ISI: 000711930900002Scopus ID: 2-s2.0-85107724672OAI: oai:DiVA.org:kth-304873DiVA, id: diva2:1611530
Note

QC 20211115

Available from: 2021-11-15 Created: 2021-11-15 Last updated: 2022-06-25Bibliographically approved

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Wang, Wujun

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CiteExportLink to record
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  • apa
  • ieee
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  • de-DE
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Output format
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