Preliminary design of surrounding heliostat fields

Collado, Francisco Javier Conde

doi:10.1016/j.renene.2008.09.003

Cited by 79 publications

(43 citation statements)

References 11 publications

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“…The heliostats field layout has been calculated following the guidelines proposed by Collado [4]. As we have mentioned before we have chosen the spring equinox.…”

Section: Solar Subsystemmentioning

confidence: 99%

“…The values of the solar radiation have been obtained in the literature [14]. The energy absorbed by the molten salts can be calculated from the incident energy on the receiver, using the parameters from Table 1 [4]. The energy absorbed by the molten salt is calculated assuming that the receiver has a mean efficiency of 0.95.…”

Section: Solar Subsystemmentioning

confidence: 99%

“…The optimization of the heliostat field layout is essential for cost reduction [4]. The heliostats field layout is generally designed at the spring-solar equinox noon, which means that in summer it is possible to store heat to be used in periods of no insolation.…”

Section: Introductionmentioning

confidence: 99%

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District Cooling Using Central Tower Power Plant

et al. 2014

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“…The heliostats field layout has been calculated following the guidelines proposed by Collado [4]. As we have mentioned before we have chosen the spring equinox.…”

Section: Solar Subsystemmentioning

confidence: 99%

Section: Solar Subsystemmentioning

confidence: 99%

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District Cooling Using Central Tower Power Plant

et al. 2014

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“…The parameters are optimized in order to obtain a field layout. For instance, radially-staggered layouts are commonly assumed, originally proposed in Lipps & Vant-Hull (1978), see also Collado (2009) ;Siala & Elayeb (2001); Wei et al (2010). This pattern consists on concentric semi-circumferences where the parameters indicate the separation between the circumferences and the angular distances between the heliostats located at the same circumference.…”

Section: Introductionmentioning

confidence: 99%

“…Most articles in the literature focus on the Field Optimization problem, see Collado (2009); Sánchez & Romero (2006); Siala & Elayeb (2001), or on the Tower Optimization separately, see Ghobeity & Mitsos (2012). References to simultaneous optimization of the Field and Tower are very scarce.…”

Section: Introductionmentioning

confidence: 99%

A heuristic method for simultaneous tower and pattern-free field optimization on solar power systems

Carrizosa

Domínguez-Bravo

Fernández-Cara

et al. 2015

Computers & Operations Research

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A heuristic method for optimizing a solar power tower system is proposed, in which both heliostat field (heliostat locations and number) and the tower (tower height and receiver size) are simultaneously considered.Maximizing the thermal energy collected per unit cost leads to a difficult optimization problem due to its characteristics: it has a nonconvex black-box objective function with computationally expensive evaluation and nonconvex constraints.The proposed method sequentially optimizes the field layout for a given tower configuration and then, the tower design is optimized for the previously obtained field layout. A greedy-based heuristic algorithm is presented to address the heliostat location problem. This algorithm follows a pattern-free method. The only constraints to be considered are: the field region and the nonconvex constraints * Corresponding author. Instituto de Matemáticas de la Universidad de Sevilla (IMUS) Edificio Celestino Mutis-1 Planta-D10.5 Avda. Reina Mercedes, s/n, 41012 Sevilla, Spain. Tel: +34 955420870.Email address: carmenanadb@us.es (C. Domínguez-Bravo)Preprint submitted to Computers & Operations Research November 25, 2014 (which allow heliostats to not collide).The absence of a geometrical pattern to design the field and the simultaneous optimization of the field and the tower designs make this approach different from the existing ones. Our method is compared against other proposals in the literature of heliostat field optimization.

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Development of a mathematical model for optimizing a heliostat field layout using differential evolution method

Atif

Al‐Sulaiman

2015

Int. J. Energy Res.

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Summary In this study, differential evolution was employed to perform optimization of a heliostat field. A complete mathematical code was developed for this purpose, which generates a heliostat field and calculates the optimum spacing between heliostats through differential evolution optimization technique. The optimization was executed for two sets of two cases and compared with an un‐optimized case. In the first case, only the optical performance was optimized, whereas in the second case, the normalized ratio of the optical performance to the land area covered by the heliostat field was maximized. In the first set of cases, the extra security distance between the heliostats was neglected, whereas in the second set of cases, the extra security distance was taken into account. To apply and examine the application of the optimization algorithm developed, 3 days of the year were selected: March 21, June 21, and December 21, considering Dhahran, Saudi Arabia as an illustrative example. For June 21, when the extra security distance between the heliostats is neglected, the optical efficiency of the un‐optimized case was 0.6026, while for the first optimized case, it was 0.6395, and for the second optimized case, it was 0.6033. However, when the extra security distance was considered, the optical efficiency of the un‐optimized case was 0.6167; while for the first optimized case, it was 0.6241, and for the second optimized case, it was 0.6167. Similar observations were realized for the other cases selected. Copyright © 2015 John Wiley & Sons, Ltd.

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Preliminary design of surrounding heliostat fields

Cited by 79 publications

References 11 publications

District Cooling Using Central Tower Power Plant

District Cooling Using Central Tower Power Plant

A heuristic method for simultaneous tower and pattern-free field optimization on solar power systems

Development of a mathematical model for optimizing a heliostat field layout using differential evolution method

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