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Smart and Renewable Energy System to Power a Temperature-Controlled Greenhouse

Author

Listed:
  • Jamel Riahi

    (UR-LAPER, Faculty of Sciences of Tunis, University of Tunis El Manar Tunis, Tunis 1068, Tunisia)

  • Silvano Vergura

    (Department of Electrical and Information Engineering, Polytechnic University of Bari, st. E. Orabona 4, I-70125 Bari, Italy)

  • Dhafer Mezghani

    (UR-LAPER, Faculty of Sciences of Tunis, University of Tunis El Manar Tunis, Tunis 1068, Tunisia)

  • Abdelkader Mami

    (UR-LAPER, Faculty of Sciences of Tunis, University of Tunis El Manar Tunis, Tunis 1068, Tunisia)

Abstract

This paper presents the modeling and simulation of a Multi-Source Power System (MSPS)—composed of two renewable energy sources and supported by a Battery Energy Storage System (BESS)—to supply the ventilation and heating system for a temperature-controlled agricultural greenhouse. The first one is a photovoltaic (PV) generator connected to a DC/AC inverter and the second one is a wind turbine connected to a Permanent Magnet Synchronous Generator (PMSG). The temperature contribution in the model of the PV generator is deeply studied. A Maximum Power Point Tracking (MPPT) control based on fuzzy logic is used to drive a SEPIC converter to feed the maximum power to the greenhouse actuators. The operation of the actuators (ventilation and heating systems), on the basis of the mismatch between the internal temperature and the reference one, is controlled by a PI controller optimized by fuzzy logic, for more robust results. The simulation of the system is carried out in a Matlab/Simulink environment and its validation is based on the comparison between the simulated and experimental data for a test greenhouse, located in the Faculty of Science in Tunis. The results show that the proposed system provides an efficient solution for controlling the microclimate of the agricultural greenhouse in different periods of the year.

Suggested Citation

  • Jamel Riahi & Silvano Vergura & Dhafer Mezghani & Abdelkader Mami, 2021. "Smart and Renewable Energy System to Power a Temperature-Controlled Greenhouse," Energies, MDPI, vol. 14(17), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5499-:d:628414
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    References listed on IDEAS

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    1. Silvano Vergura, 2018. "Hypothesis Tests-Based Analysis for Anomaly Detection in Photovoltaic Systems in the Absence of Environmental Parameters," Energies, MDPI, vol. 11(3), pages 1-18, February.
    2. Silvano Vergura, 2016. "A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation," Energies, MDPI, vol. 9(5), pages 1-12, April.
    3. Daud, Abdel-Karim & Ismail, Mahmoud S., 2012. "Design of isolated hybrid systems minimizing costs and pollutant emissions," Renewable Energy, Elsevier, vol. 44(C), pages 215-224.
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    Cited by:

    1. Shuyao Dong & Md Shamim Ahamed & Chengwei Ma & Huiqing Guo, 2021. "A Time-Dependent Model for Predicting Thermal Environment of Mono-Slope Solar Greenhouses in Cold Regions," Energies, MDPI, vol. 14(18), pages 1-19, September.
    2. Quetzalcoatl Hernandez-Escobedo & David Muñoz-Rodríguez & Alejandro Vargas-Casillas & José Manuel Juárez Lopez & Pilar Aparicio-Martínez & María Pilar Martínez-Jiménez & Alberto-Jesus Perea-Moreno, 2022. "Renewable Energies in the Agricultural Sector: A Perspective Analysis of the Last Three Years," Energies, MDPI, vol. 16(1), pages 1-17, December.

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