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A control method for agricultural greenhouses heating based on computational fluid dynamics and energy prediction model

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  • Chen, Jiaoliao
  • Xu, Fang
  • Tan, Dapeng
  • Shen, Zheng
  • Zhang, Libin
  • Ai, Qinglin

Abstract

As energy heating is one of the main production costs, many efforts have been made to reduce the energy consumption of agricultural greenhouses. Herein, a novel control method of greenhouse heating using computational fluid dynamics (CFD) and energy prediction model (EPM) is proposed for energy savings and system performance. Based on the low-Reynolds number k–ε turbulence principle, a CFD model of heating greenhouse is developed, applying the discrete ordinates model for the radiative heat transfers and porous medium approach for plants considering plants sensible and latent heat exchanges. The CFD simulations have been validated, and used to analyze the greenhouse thermal performance and the priority of fan coil units (FCU) loops under the various heating conditions. According to the heating efficiency and temperature uniformity, the priorities of each FCU loop can be predicted to generate a database with priorities for control system. EPM is built up based on the thermal balance, and used to predict and optimize the energy demand of the greenhouse online. Combined with the priorities of FCU loops from CFD simulations offline, we have developed the CFD–EPM-based heating control system of greenhouse with surface water source heat pumps system (SWSHPS). Compared with conventional multi-zone independent control (CMIC) method, the energy savings potential is between 8.7% and 15.1%, and the control temperature deviation is decreased to between 0.1°C and 0.6°C in the investigated greenhouse. These results show the CFD–EPM-based method can improve system performance with more accurate temperature, more rapid responses and lower energy consumption.

Suggested Citation

  • Chen, Jiaoliao & Xu, Fang & Tan, Dapeng & Shen, Zheng & Zhang, Libin & Ai, Qinglin, 2015. "A control method for agricultural greenhouses heating based on computational fluid dynamics and energy prediction model," Applied Energy, Elsevier, vol. 141(C), pages 106-118.
  • Handle: RePEc:eee:appene:v:141:y:2015:i:c:p:106-118
    DOI: 10.1016/j.apenergy.2014.12.026
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    12. Jiaming Guo & Yanhua Liu & Enli Lü, 2019. "Numerical Simulation of Temperature Decrease in Greenhouses with Summer Water-Sprinkling Roof," Energies, MDPI, vol. 12(12), pages 1-15, June.
    13. Khan, Zaid Ashiq & Koondhar, Mansoor Ahmed & Tiantong, Ma & Khan, Aftab & Nurgazina, Zhanar & Tianjun, Liu & Fengwang, Ma, 2022. "Do chemical fertilizers, area under greenhouses, and renewable energies drive agricultural economic growth owing the targets of carbon neutrality in China?," Energy Economics, Elsevier, vol. 115(C).
    14. Iddio, E. & Wang, L. & Thomas, Y. & McMorrow, G. & Denzer, A., 2020. "Energy efficient operation and modeling for greenhouses: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    15. Dapeng Tan & Libin Zhang & Qinglin Ai, 2019. "An embedded self-adapting network service framework for networked manufacturing system," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 539-556, February.
    16. Marucci, Alvaro & Cappuccini, Andrea, 2016. "Dynamic photovoltaic greenhouse: Energy efficiency in clear sky conditions," Applied Energy, Elsevier, vol. 170(C), pages 362-376.
    17. Gloria Alexandra Ortiz Rocha & Maria Angelica Pichimata & Edwin Villagran, 2021. "Research on the Microclimate of Protected Agriculture Structures Using Numerical Simulation Tools: A Technical and Bibliometric Analysis as a Contribution to the Sustainability of Under-Cover Cropping," Sustainability, MDPI, vol. 13(18), pages 1-40, September.
    18. Ben Ali, Rim & Bouadila, Salwa & Mami, Abdelkader, 2020. "Experimental validation of the dynamic thermal behavior of two types of agricultural greenhouses in the Mediterranean context," Renewable Energy, Elsevier, vol. 147(P1), pages 118-129.
    19. María S. Fernández-García & Pablo Vidal-López & Desirée Rodríguez-Robles & José R. Villar-García & Rafael Agujetas, 2020. "Numerical Simulation of Multi-Span Greenhouse Structures," Agriculture, MDPI, vol. 10(11), pages 1-31, October.
    20. Md Nafiul Islam & Md Zafar Iqbal & Mohammod Ali & Md Ashrafuzzaman Gulandaz & Md Shaha Nur Kabir & Seung-Ho Jang & Sun-Ok Chung, 2023. "Evaluation of a 0.7 kW Suspension-Type Dehumidifier Module in a Closed Chamber and in a Small Greenhouse," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    21. Xinzhong Wang & Weiquan Fang & Zhongfeng Zhao, 2023. "Establishment of a Model and System for Secondary Fertilization of Nutrient Solution and Residual Liquid," Sustainability, MDPI, vol. 15(3), pages 1-14, January.

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