scholarly journals Transparent Photonic Crystal Heat Mirrors for Solar Thermal Applications

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1464 ◽  
Author(s):  
Mohsen Rostami ◽  
Nima Talebzadeh ◽  
Paul G. O’Brien

Numerical calculations are performed to determine the potential of using one-dimensional transparent photonic crystal heat mirrors (TPCHMs) as transparent coatings for solar receivers. At relatively low operating temperatures of 500 K, the TPCHMs investigated herein do not provide a significant advantage over conventional transparent heat mirrors that are made using transparent conducting oxide films. However, the results show that TPCHMs can enhance the performance of transparent solar receiver covers at higher operating temperatures. At 1000 K, the amount of radiation reflected by a transparent cover back to the receiver can be increased from 40.4% to 60.0%, without compromising the transmittance of solar radiation through the cover, by using a TPCHM in the place of a conventional transparent mirror with a In2O3:Sn film. For a receiver operating temperature of 1500 K, the amount of radiation reflected back to the receiver can be increased from 25.7% for a cover that is coated with a In2O3:Sn film to 57.6% for a cover with a TPCHM. The TPCHM that is presented in this work might be useful for high-temperature applications where high-performance is required over a relatively small area, such as the cover for evacuated receivers or volumetric receivers in Sterling engines.

2021 ◽  
Vol 54 (1) ◽  
Author(s):  
A. S. Shalaby ◽  
Sagr Alamri ◽  
D. Mohamed ◽  
Arafa H. Aly ◽  
S. K. Awasthi ◽  
...  

2021 ◽  
Author(s):  
Arafa H Aly ◽  
Doaa Mohamed ◽  
Suneet K Awasthi ◽  
Zaineb S Matar ◽  
Mohammed Tamam

Abstract The present work deals with photonic sensing technology used for biosensing applications. In this paper we have theoretically examined the transmission properties of one-dimensional (1D) defect photonic crystal (DPC) suitable for biosensing applications. The number of contaminated water samples containing different types of bacteria is poured into the defect layer region and corresponding change in the transmission peaks of defect mode inside photonic bandgap (PBG) has been observed. The proposed structure is composed of two sub-photonic crystals (PCs) containing Si and TiO2 material layers. These two sub-PCs are separated by defect layer of air in which various sensing samples has to be poured one by one. The performance of the proposed biosensor is verified by measuring redshift in the central wavelength of defect mode inside PBG depending upon the change in refractive index of various water borne bacteria samples from 1.333 to 1.43. The sensitivity of the proposed biosensor reaches to high value of 483.6 nm/RIU for Escherichia coli (E. coli) bacteria sample. The proposed biosensor achieves high value of figure of (FOM) of order 104 and low value of limit of detection (LOD) of order 10− 6 which makes our biosensor suitable for biosensing applications.


Nano Letters ◽  
2006 ◽  
Vol 6 (12) ◽  
pp. 2909-2915 ◽  
Author(s):  
Qing Wan ◽  
Eric N. Dattoli ◽  
Wayne Y. Fung ◽  
Wei Guo ◽  
Yanbin Chen ◽  
...  

Nanoscale ◽  
2021 ◽  
Author(s):  
Javier Castillo-Seoane ◽  
Jorge Gil-Rostra ◽  
Victor Lopez-Flores ◽  
Gabriel Lozano ◽  
Javier Ferrer ◽  
...  

The eventual exploitation of one-dimensional nanomaterials yet needs the development of scalable, high yield, homogeneous and environmentally friendly methods able to meet the requirements for the fabrication of under design...


2021 ◽  
Vol 53 (11) ◽  
Author(s):  
A. S. Shalaby ◽  
Sagr Alamri ◽  
D. Mohamed ◽  
Arafa H. Aly ◽  
S. K. Awasthi ◽  
...  

2019 ◽  
Vol 30 (7) ◽  
pp. 1070-1083 ◽  
Author(s):  
Ernur Karadoğan

Brinson model is one of the most widely used shape memory alloy models due to its prediction power over a wide range of operating temperatures and inclusion of measurable engineering variables. The model involves parameters that are determined based on experimental data specific to a particular alloy. Therefore, it is subject to both experimental uncertainty and natural random variability in its parameters that propagate throughout the loading/unloading of the material. In this article, we analyse the sensitivity of the Brinson model to its parameters using a probabilistic approach, and present how the uncertainties in these parameters at different operating temperatures propagate as evidenced by the resulting stress–strain curves. The analyses were performed for isothermal loading/unloading and at various operating temperatures representing possible phase changes between martensite–austenite and martensite–martensite variants. The results show that the sensitivity of the model varies considerably based on the operating temperature and loading conditions. In addition, the variability in the model’s output is amplified after phase transitions during loading, and loading the material above the critical stress for martensite transition reduces variability during unloading. Based on the results of the sensitivity analysis, recommendations as to which parameters affect the variability of the model-predicted stress–strain curves are presented.


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