journal article·2019-07

Investigation on the correlation between solar absorption and the size of non-metallic nanoparticles

Yafei Liu, Guoting Sun, Daming Wu, Shuangling Dong

Journal of Nanoparticle Research· Volume 21· Issue 7
Publisher page

Abstract

Solar heating with nanoparticles (NPs) exhibits great potential for photo thermal applications, such as direct absorption solar collector and photovoltaic photothermal system. The performance of NPs suspended in base fluid plays a major role in improving solar harvesting efficiency. Most researchers are focused on the optical properties of mental NPs due to their strong localized surface plasmon resonance (LSPR), resulting in a great solar absorption. To our best knowledge, theoretically and systematically studying on optical properties of non-metal NPs is still open. Therefore, we present a thorough investigation on the correlation between solar absorption and the size of CuO, carbon and graphite with the diameter range of 20–200 nm though using the finite-difference time-domain (FDTD) method. Results show that absorption and scattering cross sections of NPs have great sensitivity to particle size. The absorbed power increases with particle size growing. And solar absorption power for per unit volume of the three NPs has optimal diameter about 60 nm, 100 nm, 160 nm for carbon, graphite, and CuO, respectively. Graphite exhibits best average solar absorption efficiency, following by carbon and CuO except for particles smaller than about 30 nm. For particle diameter of 30 nm, carbon has better sunlight absorption property than that of graphite. This work aimed to provide guidelines for choosing non-metal particles and their optimal size for solar thermal utilization.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Thermal Radiation and Cooling Technologies · Solar Thermal and Photovoltaic Systems · nanoparticles nucleation surface interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (39)

Show source-provided references
1. Al-Qazwini Y, Noor ASM, Yadav TK, Yaacob MH, Harun SW, Mahdi MA (2014) Performance evaluation of a bilayer SPR-based fiber optic RI sensor with TiO2 using FDTD solutions. Photonic Sens 4(4):289–294. https://doi.org/10.1007/s13320-014-0207-y10.1007/s13320-014-0207-y ↗
2. Chen M, He Y, Wang X, Hu Y (2018) Numerically investigating the optical properties of plasmonic metallic nanoparticles for effective solar absorption and heating. Sol Energy 161:17–24. https://doi.org/10.1016/j.solener.2017.12.03210.1016/j.solener.2017.12.032 ↗
3. Chen M, He Y, Ye Q, Wang X, Hu Y (2019) Shape-dependent solar thermal conversion properties of plasmonic Au nanoparticles under different light filter conditions. Sol Energy 182:340–347. https://doi.org/10.1016/j.solener.2019.02.07010.1016/j.solener.2019.02.070 ↗
4. Chen M, He Y, Zhu J, Kim DR (2016) Enhancement of photo-thermal conversion using gold nanofluids with different particle sizes. Energy Conv Manag 112:21–30. https://doi.org/10.1016/j.enconman.2016.01.00910.1016/j.enconman.2016.01.009 ↗
5. Djurišić AB, Li EH (1999) Optical properties of graphite. J Appl Phys 85:7404–741010.1063/1.369370 ↗
6. Dobrovolskaia MA, Germolec DR, Weaver JL (2009) Evaluation of nanoparticle immunotoxicity. Nat Nanotechnol 4(7):411. https://doi.org/10.1038/nnano.2009.17510.1038/nnano.2009.175 ↗
7. Draine BT (1988) The discrete-dipole approximation and its application to interstellar graphite grains. Astrophys J 333:848–87210.1086/166795 ↗
8. Draine BT, Flatau PJ (1944) Discrete-dipole approximation for scattering calculations. JOSA A 11(4):1491–1499. https://doi.org/10.1364/JOSAA.11.00149110.1364/JOSAA.11.001491 ↗
9. Du M, Tang GH (2015) Optical property of nanofluids with particle agglomeration. Sol Energy 122:864–872. https://doi.org/10.1016/j.solener.2015.10.00910.1016/j.solener.2015.10.009 ↗
10. Fredriksson H, Pakizeh T, Käll M, Kasemo B, Chakarov D (2009) Resonant optical absorption in graphite nanostructures. J Optics-UK 11(11):114022. https://doi.org/10.1088/1464-4258/11/11/11402210.1088/1464-4258/11/11/114022 ↗
11. Gorji TB, Ranjbar AA (2017) A review on optical properties and application of nanofluids in direct absorption solar collectors (DASCs). Renew Sust Energ Rev 72:10–32. https://doi.org/10.1016/j.rser.2017.01.01510.1016/j.rser.2017.01.015 ↗
12. Haes AJ, Duyne RPV (2002) A nanoscale optical biosensor: sensitivity and selectivity of an approach based on the localized surface plasmon resonance spectroscopy of triangular silver nanoparticles. J Am Chem Soc 124(35):0596–10604. https://doi.org/10.1021/ja020393x10.1021/ja020393x ↗
13. Holm VR, Greve MM, Holst B (2017) A theoretical investigation of the optical properties of metal nanoparticles in water for photo thermal conversion enhancement. Energy Conv Manag 149:536–542. https://doi.org/10.1016/j.enconman.2017.07.02710.1016/j.enconman.2017.07.027 ↗
14. Ishii S, Sugavaneshwar RP, Nagao T (2016) Titanium nitride nanoparticles as plasmonic solar heat transducers. J Phys Chem C 120(4):2343–2348. https://doi.org/10.1021/acs.jpcc.5b0960410.1021/acs.jpcc.5b09604 ↗
15. Kim J, Lee GJ, Park I, Lee YP (2012) Finite-difference time-domain numerical simulation study on the optical properties of silver nanocomposites. J Nanosci Nanotechnol 12(7):5527–5531. https://doi.org/10.1166/jnn.2012.633010.1166/jnn.2012.6330 ↗
16. Liu J, Ye Z, Zhang L, Fang X, Zhang Z (2015) A combined numerical and experimental study on graphene/ionic liquid nanofluid based direct absorption solar collector. Sol Energy Mater Sol Cells 136:177–186. https://doi.org/10.1016/j.solmat.2015.01.01310.1016/j.solmat.2015.01.013 ↗
17. Liu X, Xuan Y (2017) Full-spectrum volumetric solar thermal conversion via photonic nanofluids. Nanoscale. 9(39):14854–14860. https://doi.org/10.1039/C7NR03912C10.1039/C7NR03912C ↗
18. Meinel AB, Meinel MP (1977) Applied solar energy: an introduction. NASA STI/Recon Technical Report, 77
19. Mie G (1908) Articles on the optical characteristics of turbid tubes, especially colloidal metal solutions. Ann Phys 25:377–44510.1002/andp.19083300302 ↗
20. Moharam MG, Gaylord TK (1981) Rigorous coupled-wave analysis of planar-grating diffraction. Josa. 71(7):811–818. https://doi.org/10.1364/JOSA.71.00081110.1364/JOSA.71.000811 ↗
21. N, k database. http://www.ioffe.ru/SVA/NSM/nk/Oxides/Gif/cuo.gif
22. Nakayama K, Tanabe K, Atwater HA (2008) Plasmonic nanoparticle enhanced light absorption in GaAs solar cells. Appl Phys Lett 93(12):121904. https://doi.org/10.1063/1.298828810.1063/1.2988288 ↗
23. Paris A, Vaccari A, Lesina AC, Serra E, Calliari L (2012) Plasmonic scattering by metal nanoparticles for solar cells. Plasmonics. 7(3):525–534. https://doi.org/10.1007/s11468-012-9338-410.1007/s11468-012-9338-4 ↗
24. Pustovalov VK (2016) Light-to-heat conversion and heating of single nanoparticles, their assemblies, and the surrounding medium under laser pulses. RSC Adv 6(84):81266–81289. https://doi.org/10.1039/C6RA11130K10.1039/C6RA11130K ↗
25. Querry MR (1985) Optical constants, contractor report. US Army Chemical Research, Development and Engineering Center, Aberdeen Proving Ground, MD, 418
26. Rahman MM, Younes H, Ni G et al (2017) Plasmonic nanofluids enhanced solar thermal transfer liquid. In AIP Conference Proceedings AIP Publishing 1850(1):110013. https://doi.org/10.1063/1.498448710.1063/1.4984487 ↗
27. Saidur R, Meng T, Said Z, Hasanuzzaman M, Kamyar A (2012) Evaluation of the effect of nanofluid based absorbers on direct solar collector. Int J Heat Mass Transf 55(21–22): 5899–5907. https:// https://doi.org/10.1016/j.ijheatmasstransfer.2012.05.08710.1016/j.ijheatmasstransfer.2012.05.087 ↗
28. Singh GK (2013) Solar power generation by PV (photovoltaic) technology: a review. Energy. 53:1–13. https://doi.org/10.1016/j.energy.2013.02.05710.1016/j.energy.2013.02.057 ↗
29. Sun Y, Evans J, Ding F, Liu N, Liu W, Zhang Y, He S (2015) Bendable, ultra-black absorber based on a graphite nanocone nanowire composite structure. Opt Express 23(15):20115–20123. https://doi.org/10.1364/OE.23.02011510.1364/OE.23.020115 ↗
30. Taflove A, Hagness SC (2005) Computational electrodynamics: the finite-difference time-domain method. Artech house, Norwood
31. Vuu K, Xie J, McDonald MA et al (2005) Gadolinium-rhodamine nanoparticles for cell labeling and tracking via magnetic resonance and optical imaging. Bioconjug Chem 16(4):995–999. https://doi.org/10.1021/bc050085z10.1021/bc050085z ↗
32. Wang X, Wang Y, Yang X, Cao Y (2019) Numerical simulation on the LSPR-effective core-shell copper/graphene nanofluids. Sol Energy 181:439–451. https://doi.org/10.1016/j.solener.2019.02.01810.1016/j.solener.2019.02.018 ↗
33. Wang Z, Quan X, Zhang Z, Cheng P (2018) Optical absorption of carbon-gold core-shell nanoparticles. J Quant Spectrosc Ra Transfer 205:291–298. https://doi.org/10.1016/j.jqsrt.2017.08.00110.1016/j.jqsrt.2017.08.001 ↗
34. Yao GY, Liu QL, Zhao ZY (2018) Studied localized surface plasmon resonance effects of au nanoparticles on TiO2 by FDTD simulations. Catalysts. 8(6):236. https://doi.org/10.3390/catal806023610.3390/catal8060236 ↗
35. Yee K (1966) Numerical solution of initial boundary value problems involving Maxwell's equations in isotropic media. IEEE Trans Antennas Propag 14(3):302–307. https://doi.org/10.1109/TAP.1966.113869310.1109/TAP.1966.1138693 ↗
36. Zakharko Y, Nychyporuk T, Bonacina L, Lemiti M, Lysenko V (2013) Plasmon-enhanced nonlinear optical properties of SiC nanoparticles. Nanotechnology. 24(5):055703. https://doi.org/10.1088/0957-4484/24/5/05570310.1088/0957-4484/24/5/055703 ↗
37. Zeng J, Xuan Y (2018) Tunable full-spectrum photo-thermal conversion features of magnetic- plasmonic Fe3O4/TiN nanofluid. Nano Energy 51:754–763. https://doi.org/10.1016/j.nanoen.2018.07.03410.1016/j.nanoen.2018.07.034 ↗
38. Zienkiewicz OC, Taylor RL, Nithiarasu P, Zhu JZ (1977) The finite element method. McGraw-hill, London
39. Zivanovic SS, Yee KS, Mei KK (1991) A subgridding method for the time-domain finite-difference method to solve Maxwell's equations. IEEE Trans Micro Theor Tech 39:471–479. https://doi.org/10.1109/22.7528910.1109/22.75289 ↗