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Energy saving strategies in sustainable greenhouse cultivation in the mediterranean climate – A case study

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  • Ouazzani Chahidi, Laila
  • Fossa, Marco
  • Priarone, Antonella
  • Mechaqrane, Abdellah

Abstract

Greenhouse cultivation is one of the most effective and widely used methods which provide a suitable environment for plants growth. The persisting demand for energy in greenhouses represents the main constraint for this cultivation method. Integrating passive technologies and renewable energies can significantly contribute to reducing the energy consumption. This study presents an EnergyPlus dynamic model of a high-efficiency greenhouse, the “Smart Agro-Manufacturing Laboratory” (SamLab), located in Albenga, Italy. The SamLab includes different energy-saving integrated systems: a shading/reflecting system for glazed surfaces, operable windows for natural ventilation, a roof with semitransparent PV modules, and a HVAC system with a ground-coupled heat pump. The EnergyPlus model of the greenhouse considers all interactive components in the energy balance, including the plants, the soil and the internal masses, and comparison are performed to assess the influence of each factor. Moreover, the positive effect of the renewable energies is estimated by comparing the primary energy need associated to the actual innovative plant of the greenhouse (PV modules and ground coupled heat pump) with the energy ideally requested by a traditional plant to satisfy the same request of heating and cooling. The results show that the passive technologies can provide a reduction of nearly 16% of the energy needs, during cooling period. Moreover, the ground coupled heat pump saves around 21% compared to a traditional air conditioning system. The PV energy production have been both measured and predicted with good accuracy; this provides around 44% of the yearly electricity needs for air conditioning needs.

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  • Ouazzani Chahidi, Laila & Fossa, Marco & Priarone, Antonella & Mechaqrane, Abdellah, 2021. "Energy saving strategies in sustainable greenhouse cultivation in the mediterranean climate – A case study," Applied Energy, Elsevier, vol. 282(PA).
    • Handle: RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920315646
    DOI: 10.1016/j.apenergy.2020.116156
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    References listed on IDEAS

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    1. Chiara Bersani & Marco Fossa & Antonella Priarone & Roberto Sacile & Enrico Zero, 2021. "Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse," Energies, MDPI, vol. 14(11), pages 1-21, June.
    2. Zhang, Menghang & Yan, Tingxiang & Wang, Wei & Jia, Xuexiu & Wang, Jin & Klemeš, Jiří Jaromír, 2022. "Energy-saving design and control strategy towards modern sustainable greenhouse: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    3. Hamels, Sam & Himpe, Eline & Laverge, Jelle & Delghust, Marc & Van den Brande, Kjartan & Janssens, Arnold & Albrecht, Johan, 2021. "The use of primary energy factors and CO2 intensities for electricity in the European context - A systematic methodological review and critical evaluation of the contemporary literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    4. Maria Ravani & Konstantinos Georgiou & Stefania Tselempi & Nikolaos Monokrousos & Georgios K. Ntinas, 2023. "Carbon Footprint of Greenhouse Production in EU—How Close Are We to Green Deal Goals?," Sustainability, MDPI, vol. 16(1), pages 1-39, December.
    5. Uk-Hyeon Yeo & Sang-Yeon Lee & Se-Jun Park & Jun-Gyu Kim & Young-Bae Choi & Rack-Woo Kim & Jong Hwa Shin & In-Bok Lee, 2022. "Rooftop Greenhouse: (1) Design and Validation of a BES Model for a Plastic-Covered Greenhouse Considering the Tomato Crop Model and Natural Ventilation Characteristics," Agriculture, MDPI, vol. 12(7), pages 1-25, June.
    6. Safarzadeh, Soroush & Hafezalkotob, Ashkan & Jafari, Hamed, 2022. "Energy supply chain empowerment through tradable green and white certificates: A pathway to sustainable energy generation," Applied Energy, Elsevier, vol. 323(C).
    7. Han, Gwangwoo & Joo, Hong-Jin & Lim, Hee-Won & An, Young-Sub & Lee, Wang-Je & Lee, Kyoung-Ho, 2023. "Data-driven heat pump operation strategy using rainbow deep reinforcement learning for significant reduction of electricity cost," Energy, Elsevier, vol. 270(C).
    8. Sedat Boyacı & Atilgan Atilgan & Joanna Kocięcka & Daniel Liberacki & Roman Rolbiecki & Barbara Jagosz, 2023. "Determination of the Effect of a Thermal Curtain Used in a Greenhouse on the Indoor Climate and Energy Savings," Energies, MDPI, vol. 16(23), pages 1-16, November.
    9. Laila Ouazzani Chahidi & Marco Fossa & Antonella Priarone & Abdellah Mechaqrane, 2021. "Evaluation of Supervised Learning Models in Predicting Greenhouse Energy Demand and Production for Intelligent and Sustainable Operations," Energies, MDPI, vol. 14(19), pages 1-15, October.

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