Solar field control for desalination plants

Roca, Lídia; Berenguel, Manuel; Yebra, Luis J.; Alarcón-Padilla, Diego-César

doi:10.1016/j.solener.2008.03.002

Cited by 61 publications

(44 citation statements)

References 10 publications

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“…A control system has been developed to optimize distillate production under variable operating conditions. Feedforward controllers (FF) following the ideas in [22][23][24][25] were implemented. This paper is focused on the study and implementation of a control architecture for an experimental SMD facility in order to improve the system operation and reduce the use of nonrenewable energy.…”

Section: Introductionmentioning

confidence: 99%

Solar membrane distillation: A control perspective

Gil

Ruiz-Aguirre

Roca

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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Abstract-This paper presents a preliminary architecture for controlling solar membrane distillation facilities. Membrane distillation (MD) is a desalination technology under investigation, without industrial applications and with only few pilot systems. There is a general lack of information on how these systems perform during real solar-powered operation and how distillate quality deteriorates under intermittent conditions. One of the few systems that have been fully described in literature is the MD-solar pilot plant in Plataforma Solar de Almería (PSA), Spain. This paper presents a first step towards an optimal automatic operation of this system through the definition of operation modes and basic control loops. A discussion of control schemes to be implemented in the near future is also included in this work.

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Section: Introductionmentioning

confidence: 99%

Solar membrane distillation: A control perspective

Gil

Ruiz-Aguirre

Roca

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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“…In the case of the photovoltaic parking area, this value is scaled to a tenth of its capacity to make the analyzed situations more realistic: the Spanish self-consumption regulations limit the power of photovoltaic facilities so this arrangement adapts the values of the energy produced to those typically demanded by the industrial cluster considered. Upper limits are calculated in the same way, for both solar collector systems (the one in CIESOL [45] and the other in the desalination plant [46]) but since their control system can regulate the inlet water flow, the lower limits are set to zero.…”

Section: Operation Limits and Conversion Factorsmentioning

confidence: 99%

“…Apart from this, both collector system coefficients are obtained through previously obtained models for each field [45,46].…”

Section: Operation Limits and Conversion Factorsmentioning

confidence: 99%

Heterogeneous resource management in energy hubs with self-consumption: Contributions and application example

et al. 2018

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The energy hub concept and modeling methodology are widely employed tools for solving resource conversion and storage scheduling problems. For instance, industrial clusters might benefit from determining the suitable time to operate their facilities and to sell electricity to the public power grid, according to legal, economic or environmental factors. In this paper, novel elements are introduced in order to more accurately represent real plants and to reduce the amount of decision variables. The major innovation is to consider devices consuming a resource which is not related to the quantity of output produced, by attaching binary decision variables to certain energy hub outputs. Secondly, a path vector is defined to take into account the flows of resources within the system instead of employing a variable for each branch between the components. The third innovation consists of an additional vector to express the amount of output resources sold from the energy hub, including constraints for those resources which are exported and imported through the same medium. An extended energy hub model is first proposed and then applied to a real plant example, including multiple and heterogeneous resources and performing a comparison between days with different demands, weather conditions and electricity prices. The results obtained in the selected scenarios demonstrate a logical operation scheduling, and therefore validate the proposed approach.

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“…This model includes a lumped-parameters model of the solar field according to [15], a stratified model of the storage tank based on an energy balance [16], and a first principles-based model of the heat exchanger [17]. Static energy balances were considered to model the distribution system and valves and transfer functions experimentally obtained were used to model pumps.…”

Section: System Modelingmentioning

confidence: 99%

Using a Nonlinear Model Predictive Control strategy for the efficient operation of a solar-powered membrane distillation system

Gil

Roca

Ruiz-Aguirre

et al. 2017

2017 25th Mediterranean Conference on Control and Automation (MED)

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Abstract-This paper presents an optimal operation strategy in terms of thermal efficiency and distillate flux production for a Solar Membrane Distillation (SMD) system. Firstly, a study of the Membrane Distillation (MD) module is presented, revealing the optimal operation strategy. Secondly, a hierarchical control system with two layers is developed and tested. The upper layer consists on a Nonlinear Model Predictive Control (NMPC) scheme which allows us to obtain the maximum temperature at the inlet of the MD module, by optimizing the use of solar energy. The lower layer is composed by a direct control system that is in charge of reaching the setpoint calculated by the upper layer. Simulation results are shown in order to demonstrate the effectiveness of this control approach.

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Solar field control for desalination plants

Cited by 61 publications

References 10 publications

Solar membrane distillation: A control perspective

Solar membrane distillation: A control perspective

Heterogeneous resource management in energy hubs with self-consumption: Contributions and application example

Using a Nonlinear Model Predictive Control strategy for the efficient operation of a solar-powered membrane distillation system

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