Compensation of heliostat drift by seasonal sampling

Iriarte-Cornejo, C.; Arancibia-Bulnes, Camilo A.; Salgado‐Tránsito, Iván; Waissman, Julio; Cabanillas, R.E.; Estrada, Claudio A.

doi:10.1016/j.solener.2014.03.023

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…It is important to point out that drift in general takes the images out of the center of target, as seen in Figure 7. In fact, it is common to apply a constant compensation [18], which centers the trajectories on the target but does not correct drift. More sophisticated correction methods require much more implementation effort [20].…”

Section: Resultsmentioning

confidence: 99%

“…The aim of this methodology is rather to serve as a parametric tool to simulate different drift scenarios and to evaluate the impact in plant performance. Also, the present modeling tool can be very useful to study the effect of different advanced heliostat control strategies [5,6,18]. Sometimes a uniform flux is sought, but in other cases specialized flux distributions may be sought for some applications.…”

Section: Resultsmentioning

confidence: 99%

“…Drift is always present in CR plants. It can be reduced by different time consuming methodologies [18], but never completely eliminated.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling of Drift Effects on Solar Tower Concentrated Flux Distributions

Lara-Cerecedo

Moreno-Cruz

Pitalúa-Díaz

et al. 2016

International Journal of Photoenergy

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A novel modeling tool for calculation of central receiver concentrated flux distributions is presented, which takes into account drift effects. This tool is based on a drift model that includes different geometrical error sources in a rigorous manner and on a simple analytic approximation for the individual flux distribution of a heliostat. The model is applied to a group of heliostats of a real field to obtain the resulting flux distribution and its variation along the day. The distributions differ strongly from those obtained assuming the ideal case without drift or a case with a Gaussian tracking error function. The time evolution of peak flux is also calculated to demonstrate the capabilities of the model. The evolution of this parameter also shows strong differences in comparison to the case without drift.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Modeling of Drift Effects on Solar Tower Concentrated Flux Distributions

Lara-Cerecedo

Moreno-Cruz

Pitalúa-Díaz

et al. 2016

International Journal of Photoenergy

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“…A very common calibration method has been presented by Berenguel et al 2 and was enhanced by modeling the error sources and developing a drift model for each heliostat e.g. by Iriarte-Cornejo et al 3 . The method implements a correction of the aiming point of a heliostat by pointing the reflected flux to a separate diffusely reflective flux target, usually placed beneath a receiver.…”

Section: State Of the Artmentioning

confidence: 99%

Novel imaging closed loop control strategy for heliostats

Bern

Schöttl

Heimsath

et al. 2017

AIP Conference Proceedings

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Abstract. Central Receiver Systems use up to thousands of heliostats to concentrate solar radiation. The precise control of heliostat aiming points is crucial not only for efficiency but also for reliable plant operation. Besides the calibration of open loop control systems, closed loop tracking strategies are developed to address a precise and efficient aiming strategy. The need for cost reductions in the heliostat field intensifies the motivation for economic closed loop control systems. This work introduces an approach for a closed loop heliostat tracking strategy using image analysis and signal modulation. The approach aims at the extraction of heliostat focal spot position within the receiver domain by means of a centralized remote vision system decoupled from the rough conditions close to the focal area. Taking an image sequence of the receiver while modulating a signal on different heliostats, their aiming points are retrieved. The work describes the methodology and shows first results from simulations and practical tests performed in small scale, motivating further investigation and deployment.

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