Efficient modeling of variable solar flux distribution on Solar Tower receivers by interpolation of few discrete representations

Abstract In order to assess the solar radiation on the complex geometry of Solar Tower receivers, usually detailed maps of the flux distribution are generated using optical simulations based on ray tracing techniques. Transient modeling including a large set of such simulations implies very high computational effort. A new methodology is presented which allows for transient assessment of the flux distribution based on a comparatively small set of optical simulations and subsequent interpolations. For this purpose, two different discretization grids are used: a set of uniformly distributed solar vector nodes on the sky hemisphere and a set of different heliostat field fractions being on focus. For the interpolation in the sky discretization, three different techniques are introduced and compared in terms of accuracy. Partly defocused heliostat fields as well as complex aiming strategies can be readily taken into account by the presented approach. The methodology is validated by means of two exemplary test setups (PS10 and Gemasolar). The accuracy of the different interpolation techniques depending on the refinement of the discretization grids is assessed with appropriate error measures. Depending on the temporal resolution of the transient application, the computational effort can be reduced by several orders of magnitude compared to a direct simulation of the flux distribution for every time step. In addition to the quantitative validation, the use of the developed methodology in conjunction with a thermo-hydraulic simulation is demonstrated by means of the PS10 setup.

[1]  Chun Chang,et al.  Thermal model and thermodynamic performance of molten salt cavity receiver , 2010 .

[2]  Qiang Yu,et al.  Simulation and analysis of the central cavity receiver’s performance of solar thermal power tower plant , 2012 .

[3]  Anna Heimsath,et al.  Quantifying Optical Loss Factors of Small Linear Concentrating Collectors for Process Heat Application , 2014 .

[4]  G. Colomer,et al.  Advanced CFD&HT Numerical Modeling of Solar Tower Receivers☆ , 2014 .

[5]  Javier Samanes,et al.  A model for the transient performance simulation of solar cavity receivers , 2014 .

[6]  Giampaolo Manzolini,et al.  Comparison of Linear and Point Focus Collectors in Solar Power Plants , 2013 .

[7]  W. Beckman,et al.  Solar Engineering of Thermal Processes , 1985 .

[8]  Peter Nitz,et al.  Novel sky discretization method for optical annual assessment of solar tower plants , 2016 .

[9]  Jinjia Wei,et al.  Numerical investigation on uniformity of heat flux for semi-gray surfaces inside a solar cavity receiver , 2015 .

[10]  Manuel Torrilhon,et al.  Heliostat field optimization: A new computationally efficient model and biomimetic layout , 2012 .

[11]  Xin Li,et al.  Modeling and dynamic simulation of the collector and receiver system of 1MWe DAHAN solar thermal power tower plant , 2012 .

[12]  David Sánchez,et al.  Comparison of Different Strategies for Heliostats Aiming Point in Cavity and External Tower Receivers , 2016 .

[13]  Germain Augsburger,et al.  Modelling of the receiver transient flux distribution due to cloud passages on a solar tower thermal power plant , 2013 .

[14]  Hongli Zhang,et al.  Modeling and simulation of 1 MWe solar tower plant's solar flux distribution on the central cavity receiver , 2012, Simul. Model. Pract. Theory.

[15]  M. J. Persky,et al.  Infrared, spectral, directional-hemispherical reflectance of fused silica, Teflon polytetrafluoroethylene polymer, chrome oxide ceramic particle surface, Pyromark 2500 paint, Krylon 1602 paint, and Duraflect coating. , 2008, Applied optics.

[16]  Zhifeng Wang,et al.  Modeling and simulation of the pioneer 1 MW solar thermal central receiver system in China , 2009 .

[17]  Pierre Garcia,et al.  Codes for solar flux calculation dedicated to central receiver system applications : A comparative review , 2008 .

[18]  Yuwen Zhang,et al.  A novel integrated simulation approach couples MCRT and Gebhart methods to simulate solar radiation transfer in a solar power tower system with a cavity receiver , 2016 .

[19]  M. R. Rodríguez-Sánchez,et al.  Thermal design guidelines of solar power towers , 2014 .

[20]  Douglas T. Reindl,et al.  An alternative method for calculation of semi-gray radiation heat transfer in solar central cavity receivers , 2012 .

[21]  Qiang Yu,et al.  Analysis and improvement of solar flux distribution inside a cavity receiver based on multi-focal points of heliostat field , 2014 .

[22]  Maria Francesca Carfora Interpolation on spherical geodesic grids: A comparative study , 2007 .

[23]  Alvaro Sanchez-Gonzalez,et al.  Solar flux distribution on central receivers: A projection method from analytic function , 2015 .

[24]  Sebastian-James Bode,et al.  A Novel Approach to Reduce Ray Tracing Simulation Times by Predicting Number or Rays , 2014 .

[25]  Jinjia Wei,et al.  Numerical investigation of start-up performance of a solar cavity receiver , 2013 .

[26]  M. R. Rodríguez-Sánchez,et al.  Comparison of simplified heat transfer models and CFD simulations for molten salt external receiver , 2014 .