Thermoelectric and exergy output performance of a Fresnel-based HCPV/T at different dust densities

Yan, Suying; Zhao, Sitong; Ma, Xiaodong; Ming, Tingzhen; Wu, Ze; Zhao, Xiaoxiao; Ma, Rui

doi:10.1016/j.renene.2020.06.036

Cited by 14 publications

(1 citation statement)

References 37 publications

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“…For example, when dust deposits on the cover glass of an infrared camera, the measurement accuracy of the infrared camera will be disturbed due to the temperature drop of the black body [ 12 ]. As dust accumulates on the cover glass of the photovoltaic module, it forms a thin layer that reduces the transmittance of the glass by reflecting, absorbing, and scattering light, thus affecting the efficiency and thus the power output [ 10 , 13 ]. In addition, in the medical field, the presence of condensation on an endoscope lens will result in a decline in image quality so that a clear view cannot be provided, which is an important obstacle to the safety and success of the operation [ 8 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Flexible Thin Film Functionalized by Initiative Dust Removal and Anti-Fogging for Optical Device Applications

Feng,

Tian,

Huang

et al. 2023

Sensors

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The deposition of dust and condensation of fog will block the scattering and transmission of light, thus affecting the performance of optical devices. In this work, flexible polyethylene terephthalate (PET) foil functionalized by active dust removal and anti-fogging characteristics is realized which combines electrodynamic screen (EDS) and electro-heating devices. In lieu of traditional measurement methods of dust removal efficiency, the PSNR is employed to characterize the dust removal efficiency of the film for the first time. The results show that both dust removal and anti-fogging improve the image quality, in which the dust removal increases the PSNR from 28.1 dB to 34.2 dB and the anti-fogging function realizes a film temperature rise of 16.7 ∘C in 5 min, reaching a maximum of 41.3 ∘C. According to the high sensitivity of the PSNR, we propose a fully automatic CIS film-driven algorithm, and its feasibility has been demonstrated.

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