Mathematical modeling of a PCM storage tank in a solar cooling plant

Gallego, Antonio J.; Ruiz–Pardo, Álvaro; Cerezuela-Parish, A.; Sánchez, José Manuel García; Martı́n-Macareno, C.; Cabeza, Luisa F.; Camacho, Eduardo F.; Oró, Eduard

doi:10.1016/j.solener.2013.03.026

Cited by 27 publications

(8 citation statements)

References 9 publications

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“…El captador solar usado en este trabajo, pertenece a la planta de refrigeración solar ubicada en la terraza de la Escuela de Ingenieros de Sevilla. Esta está formada por el captador solar Fresnel, una máquina de absorción de doble efecto y un sistema de almacenamiento basado en materiales de cambio de fase [12] y [13].…”

Section: Descripción Del Modelo Matemático Del Captador Solar Fresnelunclassified

Control predictivo en el espacio de estados de un captador solar tipo Fresnel

Gallego¹,

Rosa²,

Camacho³

2020

XXXVIII Jornadas De Automática: Gijón, 6, 7, Y 8 De Septiembre De 2017

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Section: Descripción Del Modelo Matemático Del Captador Solar Fresnelunclassified

Control predictivo en el espacio de estados de un captador solar tipo Fresnel

Gallego¹,

Rosa²,

Camacho³

2020

XXXVIII Jornadas De Automática: Gijón, 6, 7, Y 8 De Septiembre De 2017

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“…where R = R(t st ) is the interface position which depends on t st (Stefan time), T f is the melting temperature, T(r) is the PCM temperature which depends on the radius and L * is the corrected latent heat of hydroquinone. In [27,28], all the modeling details and parameters estimation are better explained. Figure 6 shows a comparison between the model and the real temperature of the storage tank evolution.…”

Section: Stefan Solution For Phase Changementioning

confidence: 99%

Hybrid Nonlinear MPC of a Solar Cooling Plant

et al. 2019

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Solar energy for cooling systems has been widely used to fulfill the growing air conditioning demand. The advantage of this approach is based on the fact that the need of air conditioning is usually well correlated to solar radiation. These kinds of plants can work in different operation modes resulting on a hybrid system. The control approaches designed for this kind of plant have usually a twofold goal: (a) regulating the outlet temperature of the solar collector field and (b) choosing the operation mode. Since the operation mode is defined by a set of valve positions (discrete variables), the overall control problem is a nonlinear optimization problem which involves discrete and continuous variables. This problems are difficult to solve within the normal sampling times for control purposes (around 20–30 s). In this paper, a two layer control strategy is proposed. The first layer is a nonlinear model predictive controller for regulating the outlet temperature of the solar field. The second layer is a fuzzy algorithm which selects the adequate operation mode for the plant taken into account the operation conditions. The control strategy is tested on a model of the plant showing a proper performance.

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“…The total mass of the PCM is of 3294 kg [36]. The melting temperature of the hydroquinone is about 170°C which is suitable for the water absorption chiller operating range [37].…”

Section: Plant Descriptionmentioning

confidence: 99%

Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field

et al. 2018

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Model predictive control has been demonstrated to be one of the most efficient control techniques for solar power systems. An incremental offset-free state-space Model Predictive Controller (MPC) is developed for the Fresnel collector field located at the solar cooling plant installed on the roof of the Engineering School of Sevilla. A robust Luenberger observer is used for estimating the states of the plant which cannot be measured. The proposed strategy is tested on a nonlinear distributed parameter model of the Fresnel collector field. Its performance is compared to that obtained with a gain-scheduling generalized predictive controller. A real test carried out at the real plant is presented, showing that the proposed strategy achieves a very good performance.

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Mathematical modeling of a PCM storage tank in a solar cooling plant

Cited by 27 publications

References 9 publications

Control predictivo en el espacio de estados de un captador solar tipo Fresnel

Control predictivo en el espacio de estados de un captador solar tipo Fresnel

Hybrid Nonlinear MPC of a Solar Cooling Plant

Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field

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