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Facile preparation of core-shell Ag@SiO2 nanoparticles and their application in spectrally splitting PV/T systems

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  • Huang, Ju
  • Han, Xinyue
  • Zhao, Xiaobo
  • Meng, Chunfeng

Abstract

Several researchers have demonstrated that plasmonic nanofluids based filters can potentially enhance hybrid solar photovoltaic/thermal (PV/T) systems performance. In this work, we report a facile process for achieving silica-coated silver (Ag) nanoparticles using dimethylamine (DMA) as a basic solvent to induce tetraethyl orthosilicate (TEOS) hydrolysis. Then, the prepared Ag@SiO2 nanoparticles which have a controllable silica shell thickness are suspended in propylene glycol-CoSO4 hybrid fluid. Finally, the characteristics of the PV/T system filtered by the Ag@SiO2/CoSO4-PG nanofluids are evaluated based on the indoor test and photo-thermal conversion model. The results show that the nanoparticles prepared under optimized conditions, i.e., pH value of 8–9, water: ethanol volume ratio of 1:4, temperature of 25 °C, TEOS volume of 0.05 mL, and reaction time of 12 h, exhibit an absorption peak at 474 nm. Further, this study reveals that Ag@SiO2/CoSO4-PG nanofluid filter with concentration of 25.4 mg/L gives a reasonable spectral match with silicon concentrator solar cell according to the measured optical transmittance and the calculated filtering efficiency of 39.3%. The use of 25.4 mg/L Ag@SiO2/CoSO4-PG nanofluid filter produces a higher total efficiency of 63.3% and yields economic value enhancement of 67.8% compared to the PV only system when worth factor (w) is 3.

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  • Huang, Ju & Han, Xinyue & Zhao, Xiaobo & Meng, Chunfeng, 2021. "Facile preparation of core-shell Ag@SiO2 nanoparticles and their application in spectrally splitting PV/T systems," Energy, Elsevier, vol. 215(PA).
    • Handle: RePEc:eee:energy:v:215:y:2021:i:pa:s0360544220322180
    DOI: 10.1016/j.energy.2020.119111
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    References listed on IDEAS

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    Cited by:

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    2. Maadi, Seyed Reza & Navegi, Ali & Solomin, Evgeny & Ahn, Ho Seon & Wongwises, Somchai & Mahian, Omid, 2021. "Performance improvement of a photovoltaic-thermal system using a wavy-strip insert with and without nanofluid," Energy, Elsevier, vol. 234(C).
    3. Huang, Gan & Wang, Kai & Curt, Sara Riera & Franchetti, Benjamin & Pesmazoglou, Ioannis & Markides, Christos N., 2021. "On the performance of concentrating fluid-based spectral-splitting hybrid PV-thermal (PV-T) solar collectors," Renewable Energy, Elsevier, vol. 174(C), pages 590-605.
    4. Huang, Ju & Han, Xinyue & Zhao, Xiaobo & Khosa, Azhar Abbas & Meng, Chunfeng, 2022. "The stability, optical behavior optimization of Ag@SiO2 nanofluids and their application in spectral splitting photovoltaic/thermal receivers," Renewable Energy, Elsevier, vol. 190(C), pages 865-878.
    5. Kenneth Coldrick & James Walshe & Sarah J. McCormack & John Doran & George Amarandei, 2023. "The Role of Solar Spectral Beam Splitters in Enhancing the Solar-Energy Conversion of Existing PV and PVT Technologies," Energies, MDPI, vol. 16(19), pages 1-23, September.
    6. Liang, Huaxu & Wang, Fuqiang & Yang, Luwei & Cheng, Ziming & Shuai, Yong & Tan, Heping, 2021. "Progress in full spectrum solar energy utilization by spectral beam splitting hybrid PV/T system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    7. Pan, Hong-Yu & Chen, Xue & Xia, Xin-Lin, 2022. "A review on the evolvement of optical-frequency filtering in photonic devices in 2016–2021," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    8. Han, Xinyue & Ding, Fan & Huang, Ju & Zhao, Xiaobo, 2023. "Hybrid nanofluid filtered concentrating photovoltaic/thermal-direct contact membrane distillation system for co-production of electricity and freshwater," Energy, Elsevier, vol. 263(PD).
    9. Zhao, Xiaobo & Han, Xinyue & Yao, Yiping & Huang, Ju, 2022. "Stability investigation of propylene glycol-based Ag@SiO2 nanofluids and their performance in spectral splitting photovoltaic/thermal systems," Energy, Elsevier, vol. 238(PC).
    10. Ju, Xinyu & Liu, Huawei & Pei, Maoqing & Li, Wenzhi & Lin, Jianqing & Liu, Dongxue & Ju, Xing & Xu, Chao, 2023. "Multi-parameter study and genetic algorithm integrated optimization for a nanofluid-based photovoltaic/thermal system," Energy, Elsevier, vol. 267(C).

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