Experimental Characterization and Statistical Analysis of Water-Based Gold Nanofluids for Solar Applications: Optical Properties and Photothermal Conversion Efficiency
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7035
comunitat-uji-handle3:10234/8617
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INVESTIGACIONMetadata
Title
Experimental Characterization and Statistical Analysis of Water-Based Gold Nanofluids for Solar Applications: Optical Properties and Photothermal Conversion EfficiencyAuthor (s)
Date
2022-03-26Publisher
WileyISSN
2367-198XBibliographic citation
BURGOS RODRÍGUEZ, Jorge, et al. Experimental Characterization and Statistical Analysis of Water‐Based Gold Nanofluids for Solar Applications: Optical Properties and Photothermal Conversion Efficiency. Solar RRL, 2022, 2200104.Type
info:eu-repo/semantics/articleVersion
info:eu-repo/semantics/publishedVersionSubject
Abstract
Optimizing optical and photothermal properties of the solar nanofluids (NFs) to be used in direct absorption solar collectors is a key issue to maximize efficiencies in these collector types. This work both experime ... [+]
Optimizing optical and photothermal properties of the solar nanofluids (NFs) to be used in direct absorption solar collectors is a key issue to maximize efficiencies in these collector types. This work both experimentally and statistically analyzes the influence of the size (5 and 20 nm) and concentration (5.1, 28.2, and 51.3 ppm) of gold nanoparticles (NPs) on several important variables for collector performance: NF stability, extinction coefficient, photothermal efficiency, etc. The research work shows that the addition of small amounts of gold NPs, whose surface plasmon resonance has wavelengths close to 520 nm, greatly improves the light absorption capacity of the base fluid (water). The statistical analysis confirms the influence of NP size and concentration on photothermal conversion efficiency (PTE), which lead to an increase of up to 121% for the smallest-sized NF with the highest concentration. [-]
Is part of
Sol. RRL 2022, 2200104Funder Name
Generalitat Valenciana | Universitat Jaume I de Castellón
Project code
PROMETEO/2020/029 | UJI-B2020-32
Rights
info:eu-repo/semantics/openAccess
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