Optimisation of heliostat field layout for solar power tower systems using iterative artificial bee colony algorithm: a review and case study

Arrif, Toufik; Benchabane, Adel; Germoui, Mawloud; Bezza, B.; Belaid, Abdelfetah

doi:10.1080/01430750.2018.1525581

Cited by 23 publications

(7 citation statements)

References 35 publications

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“…In this work, the primary objective function considered in optimization was in the form of minimizing a simplified Levelized Cost of Heat given by Equation (22) [52][53][54]. In calculating LCOH, only an independent generating system was assumed:…”

Section: Conventional Fieldmentioning

confidence: 99%

“…The results were then compared with the model developed. To calculate the LCOH using SAM, Equation (22) was applied using the same values for the CRF. The comparison between the results is shown again in Table 3.…”

Section: Conventional Fieldmentioning

confidence: 99%

“…The algorithm developed, using parallelization, provides a solution to the conceptual complexity and high computational cost associated with pattern-free heliostat field optimization. Arrif et al [22] also developed an algorithm which is based on the bee colony optimization method to optimize the case study site of the PS10 CSP power plant in Spain. The proposed algorithm, the Artificial Bee Colony Algorithm (IABCA), finds the best position for each heliostat on the field in which the maximum efficiency for both the heliostat and field is reached within a limited area.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation and Design of Multi-Tower Concentrated Solar Power Fields

2020

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In power tower systems, the heliostat field is one of the essential subsystems in the plant due to its significant contribution to the plant's overall power losses and total plant investment cost. The design and optimization of the heliostat field is hence an active area of research, with new field improvement processes and configurations being actively investigated. In this paper, a different configuration of a multi-tower field is explored. This involves adding an auxiliary tower to the field of a conventional power tower Concentrated Solar Power (CSP) system. The choice of the position of the auxiliary tower was based on the region in the field which has the least effective reflecting heliostats. The multi-tower configuration was initially applied to a 50 MWth conventional field in the case study region of Nigeria. The results from an optimized field show a marked increase in the annual thermal energy output and mean annual efficiency of the field. The biggest improvement in the optical efficiency loss factors be seen from the cosine, which records an improvement of 6.63%. Due to the size of the field, a minimal increment of 3020 MWht in the Levelized Cost of Heat (LCOH) was, however, recorded. In much larger fields, though, a higher number of weaker heliostats were witnessed in the field. The auxiliary tower in the field provides an alternate aim point for the weaker heliostat, thereby considerably cutting down on some optical losses, which in turn gives rise to higher energy output. At 400 MWth, the multi-tower field configuration provides a lower LCOH than the single conventional power tower field.

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Section: Conventional Fieldmentioning

confidence: 99%

Section: Conventional Fieldmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation and Design of Multi-Tower Concentrated Solar Power Fields

2020

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“…As reported in previous studies, the ratio "ds" specified in Equation (38) and defined as the fraction of the extra security distance to the heliostat height, was taken equal to 0.3. 46 Based on several tests, Besarati and Yogi 44 reported that a circle radius RR = 2:5:DM for a densest field layout (dsep = 0 ) is considered as an appropriate radius.…”

Section: Shading and Blocking Efficiencymentioning

confidence: 99%

“…The redirected sun vectors toward the receiver (target) in the optical system considered are presented in Figure 2. The target vector named also the Heliostat‐Tower vector

\overset{R}{true} = ((),,, {italicR}_{italicX}, {italicR}_{italicY}, {italicR}_{italicZ})

is the reflected sunray by the heliostat, 37,38 can be obtained as:

R_{X} = X_{T} - X_{i}, R_{Y} = Y_{T} - Y_{i}, R_{Z} = Z_{T} - Z_{i}

…”

Section: Mathematical Model Of the Heliostat Fieldmentioning

confidence: 99%

Design optimization of a solar tower power plant heliostat field by considering different heliostat shapes

et al. 2020

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The present study focuses on the optimization of solar tower power plant heliostat field by considering different heliostat shapes including rectangular, square, pentagon, hexagon, heptagon, octagon, and circular heliostat shapes. The optimization is carried out using an in-house developed code-based MATLAB program. The developed in-house code is validated first on a wellknown PS10 Solar Thermal Power plant having rectangular heliostats shape and the resulting yearly unweighted heliostat field efficiency of about 64.43% could be obtained. The optimized PS10 heliostat field using different heliostat shapes showed that the circular and octagon heliostat shapes provide better efficiency with minimum land area. The yearly efficiency is increased from 69.65% for the rectangular heliostat shape to 70.96% and 71% for the octagon and circular shapes, respectively. In addition, the calculated field area (land area) is reduced for the case of circular and octagon heliostat shapes with a gain of about 11.10% and 10.93% (about 42.0436 × 10 3 and 41.4036 × 10 3 m 2), respectively, in comparison with the PS10 field area.

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