scholarly journals A tool to minimize the need of Monte Carlo ray tracing code for 3D finite volume modelling of a standard parabolic trough collector receiver under a realistic solar flux profile

2020 ◽  
Vol 8 (9) ◽  
pp. 3087-3102
Author(s):  
Majedul Islam ◽  
Suvash C. Saha ◽  
Prasad K. D. V. Yarlagadda ◽  
Azharul Karim
Keyword(s):  
Monte Carlo ◽  
Ray Tracing ◽  
Finite Volume ◽  
Solar Flux ◽  
Parabolic Trough ◽  
Parabolic Trough Collector ◽  
Flux Profile

Performance Enhancement of Solar Parabolic Trough Collector Using Intensified Ray Convergence System

2017 ◽  
Vol 867 ◽  
pp. 191-194
Author(s):  
Anbu Manimaran Sukanta ◽  
M. Niranjan Sakthivel ◽  
Gopalsamy Manoranjith ◽  
Loganathan Naveen Kumar
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Performance Enhancement ◽  
Solar Flux ◽  
Parabolic Trough ◽  
Parabolic Trough Collector ◽  
Chrome Coating ◽  
Convergence System ◽  
And Performance

Solar Energy is one of the forms of Renewable Energy that is available abundantly. This work is executed on the enhancement of the performance of solar parabolic trough collector using Intensified Ray Convergence System (IRCS). This paper distinguishes between the performance of solar parabolic trough collector with continuous dual axis tracking and a fixed solar parabolic trough collector (PTC) facing south (single axis tracking). The simulation and performance of the solar radiations are visualized and analyzed using TRACEPRO 6.0.2 software. The improvement in absorption of solar flux was found to be enhanced by 39.06% in PTC using dual axis tracking, absorption of solar flux increases by 52% to 200% in PTC receiver using perfect mirror than PTC using black chrome coating.

Comparative and sensitive analysis for parabolic trough solar collectors with a detailed Monte Carlo ray-tracing optical model

2014 ◽  
Vol 115 ◽  
pp. 559-572 ◽  
Author(s):  
Z.D. Cheng ◽  
Y.L. He ◽  
F.Q. Cui ◽  
B.C. Du ◽  
Z.J. Zheng ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Ray Tracing ◽  
Optical Model ◽  
Solar Collectors ◽  
Parabolic Trough ◽  
Sensitive Analysis

A Solar Trough Concentrator for Pill-Box Flux Distribution Over a CPV Panel

2010 ◽  
Vol 132 (1) ◽  
Author(s):  
R. Bader ◽  
A. Steinfeld
Keyword(s):  
Monte Carlo ◽  
Analytical Solution ◽  
Ray Tracing ◽  
Focal Plane ◽  
Flux Distribution ◽  
Solar Flux ◽  
Target Area ◽  
Mirror Surface ◽  
Surface Imperfections ◽  
Flux Concentration

An integral methodology is formulated to analytically derive the exact profile of a solar trough concentrator that delivers a uniform radiative flux distribution over a flat rectangular target area at the focal plane. The Monte Carlo ray-tracing technique is applied to verify the analytical solution and investigate the effect of sun shape and mirror surface imperfections on the radiation uniformity and spillage. This design is pertinent to concentrating photovoltaics at moderate mean solar flux concentration ratios of up to 50 suns.

A Spectrally Accurate 2-D Axisymmetric Photon Monte-Carlo RTE Solver for Hypersonic Entry Flows

2009 ◽  
Author(s):  
Andrew Feldick ◽  
Josh Giegel ◽  
Michael F. Modest
Keyword(s):  
Monte Carlo ◽  
Radiative Transfer ◽  
Ray Tracing ◽  
Hypersonic Flow ◽  
Finite Volume ◽  
Spectral Properties ◽  
Computational Time ◽  
Two Dimensional ◽  
Flow Solver

A two-dimensional axisymmetric ray tracing photon Monte Carlo radiative transfer solver is developed. Like all ray tracing Monte Carlo codes, the ray tracing is performed in 3-D, however, arrangements are made to take advantage of the 2-D nature of the problem, to minimize computational time. The solver is designed to be integrated into finite volume hypersonic flow solvers, and is able to resolve the complex spectral properties of such flows to line-by-line accuracy. The solver is then directly integrated into DPLR, a hypersonic flow solver, and closely coupled calculations are performed.

Development of Empirical Equations for Irradiance Profile of a Standard Parabolic Trough Collector Using Monte Carlo Ray Tracing Technique

2013 ◽  
Vol 860-863 ◽  
pp. 180-190 ◽  
Author(s):  
Majedul Islam ◽  
M. A. Karim ◽  
Suvash C. Saha ◽  
Sarah Miller ◽  
Prasad K. D. V. Yarlagadda
Keyword(s):  
Heat Transfer ◽  
Heat Flux ◽  
Monte Carlo ◽  
Conjugate Heat Transfer ◽  
Large Range ◽  
Published Data ◽  
Empirical Equations ◽  
Parabolic Trough ◽  
Test Conditions ◽  
Flux Profile

This article explains a technique in which equations are developed to produce the irradiance profile around the receiver of LS2 collector using a vigorouslyverified MCRT model. A large range of test conditions including daily normal insolation, selective coatings and glass envelop conditions were chosen from the published data by Dudley et al. [1] for the job. The R2value is excellent that varies between 0.9857 and 0.9999. Therefore, these equations can be used confidently to produce boundary heat flux profile of the collector at normal incident for conjugate heat transfer analyses of the receiver.

Validation of a Monte Carlo Integral Formulation Applied to Solar Facility Simulations and Use of Sensitivities

2015 ◽  
Vol 137 (2) ◽  
Author(s):  
Cyril Caliot ◽  
Hadrien Benoit ◽  
Emmanuel Guillot ◽  
Jean-Louis Sans ◽  
Alain Ferriere ◽  
...  
Keyword(s):  
Inverse Problem ◽  
Monte Carlo ◽  
Spatial Distribution ◽  
Ray Tracing ◽  
Optical Model ◽  
Experimental Validation ◽  
Solar Flux ◽  
Integral Formulation ◽  
Complex Geometries ◽  
Multiple Reflections

The design of solar concentrating systems and receivers requires the spatial distribution of the solar flux on the receiver. This article presents an integral formulation of the optical model for the multiple reflections involved in solar concentrating facilities, which is solved by a Monte Carlo ray-tracing (MCRT) algorithm that handles complex geometries. An experimental validation of this model is obtained with published results for a dish configuration. The convergence of the proposed algorithm is studied and found faster than collision-based algorithms. In addition, an example of the use of the sensitivity of the power on a target to the mirror rms-slope is given by treating an inverse-problem consisting in finding the equivalent rms-slope of mirrors that best match the flux map measurements.

scholarly journals Finite Element Modeling and Ray Tracing of Parabolic Trough Collectors for Evaluation of Optical Intercept Factors With Gravity Loading

2011 ◽  
Author(s):  
Joshua M. Christian ◽  
Clifford K. Ho
Keyword(s):  
Finite Element ◽  
Ray Tracing ◽  
Finite Element Models ◽  
Optical Performance ◽  
Parabolic Trough ◽  
Parabolic Trough Collector ◽  
Error Distributions ◽  
Slope Error ◽  
The Impact ◽  
Reflective Surfaces

Predicting the structural and optical performance of concentrating solar power (CSP) collectors is critical to the design and performance of CSP systems. This paper presents a performance analysis which utilizes finite-element models and ray-tracing of a parabolic trough collector. The finite-element models were used to determine the impact of gravity loads on displacements and rotations of the facet surfaces, resulting in slope error distributions across the reflective surfaces. The geometry of the LUZ LS-2 parabolic trough collector was modeled in SolidWorks, and the effects of gravity on the reflective surfaces are analyzed using SolidWorks Simulation. The ideal mirror shape, along with the 90° and 0° positions (with gravity deformation) were evaluated for the LS-2. The ray-tracing programs APEX and ASAP are used to assess the impact of gravity deformations on optical performance. In the first part of the analysis, a comprehensive study is performed for the parabolic trough to evaluate a random slope error threshold (i.e., induced by manufacturing errors and assembly processes) above which additional slope errors caused by gravity sag decrease the intercept factor of the system. The optical performance of the deformed shape of the collector (in both positions) is analyzed with additional induced slope errors ranging from zero up to 1° (17.44 mrad). The intercept factor for different solar incident angles found from ray-tracing is then compared to empirical data to demonstrate if the simulations provide consistent answers with experimental data.

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