Heliostat field optimization: A new computationally efficient model and biomimetic layout

Noone, Corey J.; Torrilhon, Manuel; Mitsos, Alexander

doi:10.1016/j.solener.2011.12.007

Cited by 251 publications

(151 citation statements)

References 23 publications

Supporting

Mentioning

147

Contrasting

Order By: Relevance

“…The SPT system is assumed to be placed at the same location of the reference plant called PS10, see [22]. In Table 1, all the fixed parameters are detailed.…”

Section: Resultsmentioning

confidence: 99%

Optimization of multiple receivers solar power tower systems

Carrizosa

Domínguez-Bravo

Fernández-Cara

et al. 2015

Energy

View full text Add to dashboard Cite

In this article a new procedure to optimize the design of a Multiple Receivers Solar Power Tower system is presented. The proposed procedure allows to optimize the different receivers (height, aperture tilt angle, azimuth angle and aperture size) as well as the heliostat field layout, seeking to minimize the levelized cost of thermal energy.The optimization problem is high dimensional, with a black-box nonconvex objective function that is hard to compute.Our method is based on an alternating greedy-based heuristic method, already used by the authors to design a system with a single receiver, which simultaneously optimizes the receivers and the heliostat field. The proposed procedure allows one to determine the overall number of heliostats, their locations and the aiming region of each field.

show abstract

“…The SPT system is assumed to be placed at the same location of the reference plant called PS10, see [22]. In Table 1, all the fixed parameters are detailed.…”

Section: Resultsmentioning

confidence: 99%

Optimization of multiple receivers solar power tower systems

Carrizosa

Domínguez-Bravo

Fernández-Cara

et al. 2015

Energy

View full text Add to dashboard Cite

show abstract

“…2 and 3, as given in Refs (Noone 2012, Collado 2013 represents the interception efficiency, which is related to the energy directed to the receiver that does not fall on the absorbing area, because the reflector surface accuracy, beam spread, mirror canting accuracy, and tracking accuracy all have a major effect on the flux distribution at the receiver. An analytical flux density model or the HFLCAL model presented by Collado (2013), Schmitz (2006) and Collado (2010) which are simple and accurate tools applied to estimate the ( ) and flux distribution, are used in this study.…”

Section: Optical Efficiency Factorsmentioning

confidence: 99%

“…Shading occurs when a heliostat is shaded from sunlight by an adjoining heliostat or a tower, and similarly blocking occurs if a heliostat block the sun rays reflected from an adjoining to the receiver, In this study, the central ray tracing and discretization technique, which is presented in Ref. (Noone 2012), was adapted to calculate the ( & ) with small subdivisions (100 elements) and high accuracy. On the other hand, because any SPTP optimization operation should depend on the annual energy estimation of each different layout, the insolation-weighted mean yearly heliostat field efficiency ( , ) was calculated in Refs (Noone 2012, Besarati 2014 using Eq.…”

Section: Optical Efficiency Factorsmentioning

confidence: 99%

“…Several codes have been produced since the 70s for estimating ideal layouts; and most of those codes are presented in (Garcia 2008). For the most part, the most recent codes (Chiesi 2013, Noone 2012, Collado, 2013, Besarati 2014) identify various forms of access to increase the global optical efficiency ( ), which the present study depends on, to estimate the optical performance of the field. The main purpose of this work is to apply software simulations, a dynamic simulation developed in MATLAB, and consider all average days in the year, as presented in (American Society of Heating, Refrigeration, and Airconditioning Engineers) (ASHRAE 2013), within a specified interval time, to study the potential of SPTP technology through a hypothetical relocation of Seville, Spain's Gemasolar SPTP to regions in the south of Turkey (Gaziantep, Sanliurfa, and Finike).…”

Section: Introductionmentioning

confidence: 99%

“…Collado (2013) also studied the optimization of the heliostat field by adopting radially staggered distribution with an implemented Campo code, and estimated the maximum annual energy with a new layout suggested. In the present study, each mirror position is specified by utilizing the layouts of the MIT team model (Noone 2012), while two parameters of this model settle down the layout outline of the reflectors, estimated by used an optimization algorithm. Then, the thermal performance of the receiver is estimated using a simple analytical model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the potential energy of a heliostat field and solar receiver of solar tower power plants in the southern region of Turkey

Al-Dualimi

Söylemez

2016

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

A prior study on the performance of high-efficient models for a heliostat field and solar receiver at various candidate locations (e.g., certain regions in the south of Turkey) helped determine suitable locations for installing solar tower power plant units. This study considered the fact that solar tower power plants are affected by the working conditions of a particular site, which helps realize the highest performance of the solar power tower plant. An optimized heliostat field consisting of 2650 SENER heliostats and a model of a solar receiver based on the data obtained using Gemasolar in Seville, Spain, was used as a reference in this work. Each heliostat position is specified using an optimization algorithm that refines previously proposed models, and two parameters are added to this model to further optimize the heliostat layout. Then, a sample analytical thermal model is used for predicting the radiative and convective heat losses from the receiver system. Article History: Received March 13rd 2016; Received in revised form Jun 22nd 2016; Accepted July 3rd 2016; Available onlineHow to Cite This Article: Ra'ad, K, M, A. and Mehmet, S, S. (2016), Evaluating the potential energy of a heliostat field and solar receiver of solar tower power plants in the southern region of Turkey. Int. Journal of Renewable Energy Development, 5(2), 151-161,http://dx.doi.org/10.14710/ijred.5.2.151-161

show abstract

Optimal coupling of waste and concentrated solar for the constant production of electricity over a year

Fuente

Martı́n

2019

AIChE Journal

View full text Add to dashboard Cite

In this article, a biogas‐based Brayton cycle is integrated with a concentrated solar power facility. The gas turbine hot flue gas and the molten salts are used to generate steam for the regenerative Rankine cycle. The process model is solved as a nonlinear optimization problem within a multiperiod scheme to decide on the contribution of the energy resources and the operating conditions of the facility to meet a certain demand of power over a year mitigating the absence of solar availability. The steam turbine is responsible for power production while the gas turbine works mainly as a combustion chamber. In the South of Spain, an excess of biogas is available during summer yielding a production cost of electricity of 0.17 €/kWh with an investment of 380 M€ for a production facility of 25 MW. This plant is not yet economic.

show abstract

Heliostat field optimization: A new computationally efficient model and biomimetic layout

Cited by 251 publications

References 23 publications

Optimization of multiple receivers solar power tower systems

Optimization of multiple receivers solar power tower systems

Evaluating the potential energy of a heliostat field and solar receiver of solar tower power plants in the southern region of Turkey

Optimal coupling of waste and concentrated solar for the constant production of electricity over a year

Contact Info

Product

Resources

About