Heliostat-field gain-scheduling control applied to a two-step solar hydrogen production plant

Roca, Lídia; Calle, Alberto de la; Yebra, Luis J.

doi:10.1016/j.apenergy.2012.09.047

Cited by 28 publications

(14 citation statements)

References 27 publications

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“…In this solar hydrogen production plant, temperature in the reactor should be precisely switched and maintained in two particular values. In [6] an adaptive controller was tested obtaining promising results. In that case, the focusing strategy to choose the heliostats is based on a model of the solar field.…”

Section: Introductionmentioning

confidence: 95%

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A Combinatorial Optimization Problem to Control a Solar Reactor

Roca¹,

Diaz-Franco²,

Calle³

et al. 2014

Energy Procedia

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Section: Introductionmentioning

confidence: 95%

“…In this paper, a controller based on [6] is proposed. In this case, the model of the solar field is used to obtain an array such as each element is the thermal power contribution of each heliostat.…”

Section: Introductionmentioning

confidence: 99%

A Combinatorial Optimization Problem to Control a Solar Reactor

Roca¹,

Diaz-Franco²,

Calle³

et al. 2014

Energy Procedia

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“…This has to do both with the optical quality of individual heliostats, as well as the tracking control necessary to keep a good aiming of these heliostat to the target, a) Author to whom correspondence should be addressed. Electronic mail: caab@ier.unam.mx 1941-7012/2014/6(2)/023117/13/$30.00 V C 2014 AIP Publishing LLC 6, 023117-1 JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY 6, 023117 (2014) in order to achieve desired radiative flux or temperature distributions (Salome et al, 2013;Roca et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Heliostat image drift behavior for different error sources

Escobar-Toledo

Arancibia-Bulnes

Iriarte-Cornejo

et al. 2014

Journal of Renewable and Sustainable Energy

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Drift is ubiquitous in heliostat fields, and may be caused by diverse geometrical inaccuracies during heliostat installation and operation. This phenomenon is studied for three important primary errors in the present paper: Angular offset in the drive mechanism, pedestal tilt, and canting error. Each error produces characteristic signatures, but there is a diversity of behavior depending on the error parameters and location of the heliostat. The variation of the extent of drift curves is studied as a function of distance, for fixed error parameters. It is found that, in general, this extent is not proportional to distance, except for far heliostats, and depends on a complicated manner on the different parameters involved. Moreover, even though the extent of drift curves becomes proportional to distance for far heliostats, the convergence is very slow, and very variable with the error parameters. V C 2014 AIP Publishing LLC. [http://dx.

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“…In this solar hydrogen production plant, temperature in the reactor should be accurately switched and maintained in two particular values. A heliostat focusing strategy has been tested in this plant obtaining promising results. Temperature is controlled with an adaptive PI that gives the number of focused heliostasts.…”

Section: Introductionmentioning

confidence: 99%

A control based on a knapsack problem for solar hydrogen production

Roca¹,

Diaz-Franco²,

Calle³

et al. 2014

Optim Control Appl Methods

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Summary The Hydrosol pilot plant was installed in the small solar power systems solar tower at CIEMAT‐Plataforma Solar de Almería (PSA), Spain, for producing solar hydrogen from water using a ferrite‐based redox technology. It consists of two reactors where hydrogen and oxygen production cycles are alternated for quasi‐continuous hydrogen production. In the first step (water splitting), an exothermic reaction takes place at an operating temperature of 800℃. The second step (thermal reduction) is an endothermic reaction, which requires an operating temperature of 1200℃. Recently, an adaptive control strategy for controlling these operating temperatures in the solar hydrogen reactor has been proposed and implemented, using the number of heliostats focused as the control signal. The algorithm chooses which heliostats have to be focused estimating the concentrated solar power contribution of each heliostat. Then, the heliostats are focused, starting from those which provide lower power. This paper is based on this control strategy, but considering a new algorithm to choose the heliostats. Using the concentrated solar power contributions, a knapsack problem is defined to obtain a local optimal solution, which provides a set of heliostats that minimizes the error between the setpoint and the reactor concentrated solar power. In order to evaluate the performance of this method, simulation and experimental results are shown and discussed. Copyright © 2014 John Wiley & Sons, Ltd.

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Heliostat-field gain-scheduling control applied to a two-step solar hydrogen production plant

Cited by 28 publications

References 27 publications

A Combinatorial Optimization Problem to Control a Solar Reactor

A Combinatorial Optimization Problem to Control a Solar Reactor

Heliostat image drift behavior for different error sources

A control based on a knapsack problem for solar hydrogen production

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