Thermo-economic and comparative analyses of two recently proposed optimization approaches for circular heliostat fields: Campo radial-staggered and biomimetic spiral

Abstract In this paper, comparative analyses between two newly proposed circular heliostat field layout designs, i.e. Campo radial-staggered and biomimetic spiral layouts are carried out. Moreover, different optimization objectives including annual weighted efficiency, annual unweighted efficiency, and levelized cost of energy are considered for field layout optimization. In addition, the effects of different design variables, such as the central tower height, number of heliostats in the field, receiver’s dimensions and size of the mirrors on the field thermal and economical capabilities are investigated. Finally, the analysis’ results indicate that optimum weighted efficiency for Campo radial-staggered and biomimetic spiral layouts are 61.6% and 61.5%, whereas the optimum levelized cost of energy for both methods are 32.4 US$/MWh.

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

[2]  Alexander Mitsos,et al.  Site selection for hillside central receiver solar thermal plants , 2011 .

[3]  Elias K. Stefanakos,et al.  Optimal heliostat aiming strategy for uniform distribution of heat flux on the receiver of a solar power tower plant , 2014 .

[4]  Gregory J. Kolb,et al.  Summary of the Solar Two Test and Evaluation Program , 2000 .

[5]  F. W. Lipps.  Theory of cellwise optimization for solar central receiver systems , 1985 .

[6]  James Spelling,et al.  Hybrid Solar Gas-Turbine Power Plants : A Thermoeconomic Analysis , 2013 .

[7]  F. W. Lipps,et al.  Shading and blocking geometry for a solar tower concentrator with rectangular mirrors , 1974 .

[8]  Manuel Blanco,et al.  The Tonatiuh Software Development Project: An Open Source Approach to the Simulation of Solar Concentrating Systems , 2005 .

[9]  Fahad A. Al-Sulaiman,et al.  Optimization of heliostat field layout in solar central receiver systems on annual basis using differential evolution algorithm , 2015 .

[10]  Yongping Yang,et al.  Comparing Study of Biomimetic Spiral and Radial Staggered Layouts of the Heliostat Field , 2015 .

[11]  Robert Pitz-Paal,et al.  Visual HFLCAL - A Software Tool for Layout and Optimisation of Heliostat Fields , 2009 .

[12]  Elysia J. Sheu,et al.  Dry redox reforming hybrid power cycle: Performance analysis and comparison to steam redox reforming , 2015 .

[13]  James B. Blackmon.  Parametric determination of heliostat minimum cost per unit area , 2013 .

[14]  F. Collado,et al.  An analytic function for the flux density due to sunlight reflected from a heliostat , 1986 .

[15]  A. Ramos,et al.  Strategies in tower solar power plant optimization , 2012 .

[16]  M. Wagner.  Simulation and predictive performance modeling of utility-scale central receiver system power plants , 2008 .

[17]  Zhifeng Wang,et al.  A new method for the design of the heliostat field layout for solar tower power plant , 2010 .

[18]  Alexander Mitsos,et al.  Concentrated solar power on demand , 2011 .

[19]  Paul Gauché,et al.  Influence of Canting Mechanism and Facet Profile on Heliostat Field Performance , 2014 .

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

[21]  F. Dinter,et al.  Incidence angle effects on circular Gaussian flux density distributions for heliostat imaging , 2016 .

[22]  F. Collado.  One-point fitting of the flux density produced by a heliostat , 2010 .

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

[24]  Manuel Romero,et al.  Methodology for generation of heliostat field layout in central receiver systems based on yearly normalized energy surfaces , 2006 .

[25]  Francisco J. Collado,et al.  Preliminary design of surrounding heliostat fields , 2009 .

[26]  Robert Pitz-Paal,et al.  Assessment of the potential improvement due to multiple apertures in central receiver systems with secondary concentrators , 2006 .

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

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

[29]  Francisco J. Collado,et al.  Calculation of the annual thermal energy supplied by a defined heliostat field , 1989 .

[30]  G. Sassi.  Some notes on shadow and blockage effects , 1983 .

[31]  F. W. Lipps,et al.  A cellwise method for the optimization of large central receiver systems , 1978 .

[32]  Francisco J. Collado,et al.  Campo: Generation of regular heliostat fields , 2012 .

[33]  Zhor Hassar,et al.  Modeling of Irradiance Attenuation from a Heliostat to the Receiver of a Solar Central Tower , 2014 .

[34]  B. D. Hunn,et al.  Solar energy systems design , 1985 .

[35]  H. Vogel.  A better way to construct the sunflower head , 1979 .

[36]  Yingxue Yao,et al.  Heliostat field layout methodology in central receiver systems based on efficiency-related distribution , 2015 .

[37]  Jesús Ballestrín,et al.  Solar radiation attenuation in solar tower plants , 2012 .

[38]  B L Kistler,et al.  A user's manual for DELSOL3: A computer code for calculating the optical performance and optimal system design for solar thermal central receiver plants , 1986 .

[39]  F.M.F Siala,et al.  Mathematical formulation of a graphical method for a no-blocking heliostat field layout , 2001 .

[40]  Francisco J. Collado,et al.  A review of optimized design layouts for solar power tower plants with campo code , 2013 .

[41]  Fahad A. Al-Sulaiman,et al.  Development of a mathematical model for optimizing a heliostat field layout using differential evolution method , 2015 .

[42]  D. Yogi Goswami,et al.  A computationally efficient method for the design of the heliostat field for solar power tower plant , 2014 .