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A novel integrated framework to evaluate greenhouse energy demand and crop yield production

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  • Golzar, Farzin
  • Heeren, Niko
  • Hellweg, Stefanie
  • Roshandel, Ramin

Abstract

Greenhouses are complex systems that require considerable amounts of energy. In order to optimize their performance, it is necessary to reduce the amount of energy per unit of crop produced. This requires a combined assessment of greenhouse energy balance and crop growth, as well as their interaction. In this work, more than 30 existing greenhouse models are reviewed and different algorithms are combined to propose an integrated energy-yield model. The physical model of greenhouse energy demand is based on the dynamic energy and mass balance while yield production is based on a physiological crop model.

Suggested Citation

  • Golzar, Farzin & Heeren, Niko & Hellweg, Stefanie & Roshandel, Ramin, 2018. "A novel integrated framework to evaluate greenhouse energy demand and crop yield production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 487-501.
    • Handle: RePEc:eee:rensus:v:96:y:2018:i:c:p:487-501
    DOI: 10.1016/j.rser.2018.06.046
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    Cited by:

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    3. Vanessa Burg & Farzin Golzar & Gillianne Bowman & Stefanie Hellweg & Ramin Roshandel, 2021. "Symbiosis opportunities between food and energy system: The potential of manure‐based biogas as heating source for greenhouse production," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 648-662, June.
    4. Gang Wu & Hui Fang & Yi Zhang & Kun Li & Dan Xu, 2023. "Photothermal and Photovoltaic Utilization for Improving the Thermal Environment of Chinese Solar Greenhouses: A Review," Energies, MDPI, vol. 16(19), pages 1-29, September.
    5. Premaratne Samaranayake & Chelsea Maier & Sachin Chavan & Weiguang Liang & Zhong-Hua Chen & David T. Tissue & Yi-Chen Lan, 2021. "Energy Minimisation in a Protected Cropping Facility Using Multi-Temperature Acquisition Points and Control of Ventilation Settings," Energies, MDPI, vol. 14(19), pages 1-18, September.
    6. Gianluca Serale & Luca Gnoli & Emanuele Giraudo & Enrico Fabrizio, 2021. "A Supervisory Control Strategy for Improving Energy Efficiency of Artificial Lighting Systems in Greenhouses," Energies, MDPI, vol. 14(1), pages 1-19, January.
    7. Hu, Guoqing & You, Fengqi, 2022. "Renewable energy-powered semi-closed greenhouse for sustainable crop production using model predictive control and machine learning for energy management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    8. Tahery, Danial & Roshandel, Ramin & Avami, Akram, 2021. "An integrated dynamic model for evaluating the influence of ground to air heat transfer system on heating, cooling and CO2 supply in Greenhouses: Considering crop transpiration," Renewable Energy, Elsevier, vol. 173(C), pages 42-56.
    9. Carson Kinney & Alireza Dehghani-Sanij & SeyedBijan Mahbaz & Maurice B. Dusseault & Jatin S. Nathwani & Roydon A. Fraser, 2019. "Geothermal Energy for Sustainable Food Production in Canada’s Remote Northern Communities," Energies, MDPI, vol. 12(21), pages 1-25, October.
    10. Katzin, David & van Henten, Eldert J. & van Mourik, Simon, 2022. "Process-based greenhouse climate models: Genealogy, current status, and future directions," Agricultural Systems, Elsevier, vol. 198(C).
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