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

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Listed:
  • Lidia Roca

    (Centro Mixto CIESOL, CIEMAT-Plataforma Solar de Almería, ctra. de Senés km. 4,5 Tabernas 04200, Almería 04120, Spain)

  • Jorge A. Sánchez

    (Centro Mixto CIESOL, Universidad de Almería, ceiA3, Universidad de Almería, ctra. Sacramento s/n, Almería 04120, Spain
    These authors contributed equally to this work.)

  • Francisco Rodríguez

    (Centro Mixto CIESOL, Universidad de Almería, ceiA3, Universidad de Almería, ctra. Sacramento s/n, Almería 04120, Spain
    These authors contributed equally to this work.)

  • Javier Bonilla

    (Centro Mixto CIESOL, CIEMAT-Plataforma Solar de Almería, ctra. de Senés km. 4,5 Tabernas 04200, Almería 04120, Spain
    These authors contributed equally to this work.)

  • Alberto De la Calle

    (CSIRO Energy Technology, 10 Murray Dwyer Ct, Mayfield West, Newcastle, NSW 2304, Australia
    These authors contributed equally to this work.)

  • Manuel Berenguel

    (Centro Mixto CIESOL, Universidad de Almería, ceiA3, Universidad de Almería, ctra. Sacramento s/n, Almería 04120, Spain
    These authors contributed equally to this work.)

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.

Suggested Citation

  • Lidia Roca & Jorge A. Sánchez & Francisco Rodríguez & Javier Bonilla & Alberto De la Calle & Manuel Berenguel, 2016. "Predictive Control Applied to a Solar Desalination Plant Connected to a Greenhouse with Daily Variation of Irrigation Water Demand," Energies, MDPI, vol. 9(3), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:194-:d:65700
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    References listed on IDEAS

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    1. Ayala, Claudio O. & Roca, Lidia & Guzman, Jose Luis & Normey-Rico, Julio E. & Berenguel, Manolo & Yebra, Luis, 2011. "Local model predictive controller in a solar desalination plant collector field," Renewable Energy, Elsevier, vol. 36(11), pages 3001-3012.
    2. Fernandez, M.D. & Gonzalez, A.M. & Carreno, J. & Perez, C. & Bonachela, S., 2007. "Analysis of on-farm irrigation performance in Mediterranean greenhouses," Agricultural Water Management, Elsevier, vol. 89(3), pages 251-260, May.
    3. Li, Chennan & Goswami, Yogi & Stefanakos, Elias, 2013. "Solar assisted sea water desalination: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 136-163.
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    Cited by:

    1. Gil, Juan D. & Mendes, Paulo R.C. & Camponogara, E. & Roca, Lidia & Álvarez, J.D. & Normey-Rico, Julio E., 2020. "A general optimal operating strategy for commercial membrane distillation facilities," Renewable Energy, Elsevier, vol. 156(C), pages 220-234.
    2. Achour, Yasmine & Ouammi, Ahmed & Zejli, Driss, 2021. "Technological progresses in modern sustainable greenhouses cultivation as the path towards precision agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    3. Cynthia Giagnocavo & Emilio Galdeano-Gómez & Juan Carlos Pérez-Mesa, 2018. "Cooperative Longevity and Sustainable Development in a Family Farming System," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    4. Hossein Yousefi & Mohamad Aramesh & Bahman Shabani, 2021. "Design Parameters of a Double-Slope Solar Still: Modelling, Sensitivity Analysis, and Optimization," Energies, MDPI, vol. 14(2), pages 1-23, January.
    5. Elsayed, Mohamed L. & Mesalhy, Osama & Mohammed, Ramy H. & Chow, Louis C., 2019. "Transient and thermo-economic analysis of MED-MVC desalination system," Energy, Elsevier, vol. 167(C), pages 283-296.
    6. Chiara Bersani & Ahmed Ouammi & Roberto Sacile & Enrico Zero, 2020. "Model Predictive Control of Smart Greenhouses as the Path towards Near Zero Energy Consumption," Energies, MDPI, vol. 13(14), pages 1-17, July.
    7. Wang, Qiushi & Liang, Shen & Zhu, Ziye & Wu, Gang & Su, Yuehong & Zheng, Hongfei, 2019. "Performance of seawater-filling type planting system based on solar distillation process: Numerical and experimental investigation," Applied Energy, Elsevier, vol. 250(C), pages 1225-1234.
    8. Masoud Afrand & Rasool Kalbasi & Arash Karimipour & Somchai Wongwises, 2016. "Experimental Investigation on a Thermal Model for a Basin Solar Still with an External Reflector," Energies, MDPI, vol. 10(1), pages 1-16, December.
    9. Angel Carreño-Ortega & Emilio Galdeano-Gómez & Juan Carlos Pérez-Mesa & María Del Carmen Galera-Quiles, 2017. "Policy and Environmental Implications of Photovoltaic Systems in Farming in Southeast Spain: Can Greenhouses Reduce the Greenhouse Effect?," Energies, MDPI, vol. 10(6), pages 1-24, May.
    10. Hassan A. Awaad & Elsayed Mansour & Mohammad Akrami & Hassan E.S. Fath & Akbar A. Javadi & Abdelazim Negm, 2020. "Availability and Feasibility of Water Desalination as a Non-Conventional Resource for Agricultural Irrigation in the MENA Region: A Review," Sustainability, MDPI, vol. 12(18), pages 1-14, September.

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