Geometric optimization of parabolic trough solar collector based on the local concentration ratio using the Monte Carlo method

2018 ◽  
Vol 175 ◽  
pp. 278-287 ◽  
Author(s):  
Hamed Hoseinzadeh ◽  
Alibakhsh Kasaeian ◽  
Mohammad Behshad Shafii
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Solar Collector ◽  
Concentration Ratio ◽  
Geometric Optimization ◽  
Local Concentration ◽  
Parabolic Trough ◽  
The Monte Carlo Method ◽  
Parabolic Trough Solar Collector

scholarly journals Design and Optimization of Elliptical Cavity Tube Receivers in the Parabolic Trough Solar Collector

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Fei Cao ◽  
Lei Wang ◽  
Tianyu Zhu
Keyword(s):  
Negative Correlation ◽  
Solar Collector ◽  
Concentration Ratio ◽  
Tracking Error ◽  
Parabolic Trough ◽  
Focal Distance ◽  
Error Angle ◽  
Design And Optimization ◽  
Elliptical Cavity ◽  
Parabolic Trough Solar Collector

The nonfragile cavity receiver is of high significance to the solar parabolic trough collector (PTC). In the present study, light distributions in the cavity under different tracking error angles and PTC configurations are analyzed. A new elliptical cavity geometry is proposed and analyzed. It is obtained from this study that light distribution on the tube receiver is asymmetrical when tracking error occurs. On increasing the tracking error angle, more lights are sheltered by the cavity outer surface. The PTC focal distance has negative correlation with the cavity open length, whereas the PTC concentration ratio has positive correlation with the cavity open length. Increasing the tracking error angle and increasing the PTC focal distance would both decrease the cavity blackness. Introducing a flat plate reflector at the elliptical cavity open inlet can largely increase the cavity darkness.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

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