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

被引:22
|
作者
Caliot, Cyril [1 ]
Benoit, Hadrien [1 ]
Guillot, Emmanuel [1 ]
Sans, Jean-Louis [1 ]
Ferriere, Alain [1 ]
Flamant, Gilles [1 ]
Coustet, Christophe [2 ]
Piaud, Benjamin [2 ]
机构
[1] CNRS, PROMES, Proc Mat & Solar Energy Lab, F-66120 Font Romeu, France
[2] HPC SA Raytracing Solut, F-31100 Toulouse, France
关键词
D O I
10.1115/1.4029692
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Path integral Monte Carlo simulations of nanowires and quantum point contacts
    Shumway, J.
    Gilbert, M. J.
    PROGRESS IN NONEQUILIBRIUM GREEN'S FUNCTIONS III, 2006, 35 : 190 - +
  • [32] Path integral Monte Carlo simulations of the melting of molecular hydrogen surfaces
    Wagner, M
    Ceperley, DM
    JOURNAL OF LOW TEMPERATURE PHYSICS, 1996, 102 (3-4) : 275 - 305
  • [33] Quantum adsorbates: Path integral Monte Carlo simulations of helium in silicalite
    Chakravarty, C
    JOURNAL OF PHYSICAL CHEMISTRY B, 1997, 101 (10): : 1878 - 1883
  • [34] Optimization of Organic Solar Cells by Kinetic Monte Carlo Simulations
    Albes, Tim
    Popescu, Bogdan
    Popescu, Dan
    Arca, Francesco
    Lugli, Paolo
    2014 IEEE 14TH INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY (IEEE-NANO), 2014, : 1023 - 1028
  • [35] Multi stage Monte Carlo optimization applied to systems of integral equations
    Conley, W
    BOUNDARY ELEMENT TECHNOLOGY XV, 2003, 4 : 75 - 81
  • [36] Monte Carlo Simulations of scintillation detectors for the use as dosemeters
    Alegria, N.
    Kessler, P.
    Gabay, K. -L.
    Legarda, F.
    Neumaier, S.
    Roettger, A.
    JOURNAL OF INSTRUMENTATION, 2021, 16 (09)
  • [37] Monte Carlo simulations of dose deposition applied to clinical radiation therapy
    Rodgers, James E.
    RADIATION MEASUREMENTS, 2006, 41 : S36 - S44
  • [38] Worm algorithm and diagrammatic Monte Carlo: A new approach to continuous-space path integral Monte Carlo simulations
    Boninsegni, M.
    Prokof'ev, N. V.
    Svistunov, B. V.
    PHYSICAL REVIEW E, 2006, 74 (03)
  • [39] Size scalability of Monte Carlo simulations applied to oxidized polypyrrole systems
    Helmick, Greg
    Abere, Yoseph
    Blaisten-Barojas, Estela
    COMPUTATIONAL MATERIALS SCIENCE, 2025, 247
  • [40] Determining uncertainties of correlated measurements by Monte Carlo simulations applied to laserscanning
    Koch, Karl-Rudolf
    JOURNAL OF APPLIED GEODESY, 2008, 2 (03) : 139 - 147