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Energies 2016, 9(3), 194; doi:10.3390/en9030194

Predictive Control Applied to a Solar Desalination Plant Connected to a Greenhouse with Daily Variation of Irrigation Water Demand

1
Centro Mixto CIESOL, CIEMAT-Plataforma Solar de Almería, ctra. de Senés km. 4,5 Tabernas 04200, Almería 04120, Spain
2
Centro Mixto CIESOL, Universidad de Almería, ceiA3, Universidad de Almería, ctra. Sacramento s/n, Almería 04120, Spain
3
CSIRO Energy Technology, 10 Murray Dwyer Ct, Mayfield West, Newcastle, NSW 2304, Australia
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Filippo Sgroi
Received: 23 January 2016 / Revised: 23 February 2016 / Accepted: 26 February 2016 / Published: 14 March 2016
(This article belongs to the Special Issue Agriculture and Energy)
View Full-Text   |   Download PDF [2152 KB, uploaded 14 March 2016]   |  

Abstract

The water deficit in the Mediterranean area is a known matter severely affecting agriculture. One way to avoid the aquifers’ exploitation is to supply water to crops by using thermal desalination processes. Moreover, in order to guarantee long-term sustainability, the required thermal energy for the desalination process can be provided by solar energy. This paper shows simulations for a case study in which a solar multi-effect distillation plant produces water for irrigation purposes. Detailed models of the involved systems are the base of a predictive controller to operate the desalination plant and fulfil the water demanded by the crops. View Full-Text
Keywords: process control; modelling; solar energy; dynamic simulation; multi-effect distillation process control; modelling; solar energy; dynamic simulation; multi-effect distillation
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MDPI and ACS Style

Roca, L.; Sánchez, J.A.; Rodríguez, F.; Bonilla, J.; de la Calle, A.; Berenguel, M. Predictive Control Applied to a Solar Desalination Plant Connected to a Greenhouse with Daily Variation of Irrigation Water Demand. Energies 2016, 9, 194.

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