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Optimization of Greenhouse Thermal Screens for Maximized Energy Conservation

Author

Listed:
  • Adnan Rasheed

    (Department of Agricultural Engineering, Kyungpook National University, Daegu 702-701, Korea)

  • Wook Ho Na

    (Institute of Agricultural Science & Technology, Kyungpook National University, Daegu 702-701, Korea)

  • Jong Won Lee

    (Department of Horticulture Environment System, Korea National College of Agriculture and Fisheries, 1515, Kongjwipatjwi-ro, Deokjin-gu, Jeonju-si, Jeollabuk-do 54874, Korea)

  • Hyeon Tae Kim

    (Department of Bio-Industrial Machinery Engineering, Gyeongsang National University, (Institute of Agricultural and Life Sciences), Jinju 660-701, Korea)

  • Hyun Woo Lee

    (Department of Agricultural Engineering, Kyungpook National University, Daegu 702-701, Korea
    Institute of Agricultural Science & Technology, Kyungpook National University, Daegu 702-701, Korea
    Smart Agriculture Innovation Center, Kyungpook National University, Daegu 41566, Korea)

Abstract

In this work, we proposed a Building Energy Simulation (BES) dynamic climatic model of greenhouses by utilizing Transient System Simulation (TRNSYS 18) software to study the effect of use of different thermal screen materials and control strategies of thermal screens on heat energy requirement of greenhouses. Thermal properties of the most common greenhouse thermal screens were measured and used in the BES model. Nash-Sutcliffe efficiency coefficients of 0.84 and 0.78 showed good agreement between the computed and experimental results, thus the proposed model appears to be appropriate for performing greenhouse thermal simulations. The proposed model was used to evaluate the effects of different thermal screens including; Polyester, Luxous, Tempa, and Multi-layers, as well as to evaluate control strategies of greenhouse thermal screens, subjected to Daegu city, (latitude 35.53° N, longitude 128.36° E) South Korea winter season weather conditions. Obtained results show that the heating requirement of greenhouses with multi-layer night thermal screens was 20%, 5.4%, and 13.5%, less than the Polyester, Luxous, and Tempa screens respectively. Thus, our experiments confirm that the use of multi-layered thermal screen can reduce greenhouse heat energy requirement. Furthermore, screen-control with outside solar radiation at an optimum setpoint of 60 W·m −2 significantly influences the greenhouse’s energy conservation capacity, as it exhibited 699.5 MJ·m −2 , the least energy demand of all strategies tested. Moreover, the proposed model allows dynamic simulation of greenhouse systems and enables researchers and farmers to evaluate different screens and screen control strategies that suit their investment capabilities and local weather conditions.

Suggested Citation

  • Adnan Rasheed & Wook Ho Na & Jong Won Lee & Hyeon Tae Kim & Hyun Woo Lee, 2019. "Optimization of Greenhouse Thermal Screens for Maximized Energy Conservation," Energies, MDPI, vol. 12(19), pages 1-20, September.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3592-:d:269008
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    References listed on IDEAS

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    1. Hyung-Kweon Kim & Geum-Choon Kang & Jong-Pil Moon & Tae-Seok Lee & Sung-Sik Oh, 2018. "Estimation of Thermal Performance and Heat Loss in Plastic Greenhouses with and without Thermal Curtains," Energies, MDPI, vol. 11(3), pages 1-11, March.
    2. Adnan Rasheed & Jong Won Lee & Hyun Woo Lee, 2018. "Development and Optimization of a Building Energy Simulation Model to Study the Effect of Greenhouse Design Parameters," Energies, MDPI, vol. 11(8), pages 1-19, August.
    3. Miklos Kassai & Laith Al-Hyari, 2019. "Investigation of Ventilation Energy Recovery with Polymer Membrane Material-Based Counter-Flow Energy Exchanger for Nearly Zero-Energy Buildings," Energies, MDPI, vol. 12(9), pages 1-21, May.
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    Cited by:

    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. Misbaudeen Aderemi Adesanya & Wook-Ho Na & Anis Rabiu & Qazeem Opeyemi Ogunlowo & Timothy Denen Akpenpuun & Adnan Rasheed & Yong-Cheol Yoon & Hyun-Woo Lee, 2022. "TRNSYS Simulation and Experimental Validation of Internal Temperature and Heating Demand in a Glass Greenhouse," Sustainability, MDPI, vol. 14(14), pages 1-30, July.
    3. Chrysanthos Maraveas & Christos-Spyridon Karavas & Dimitrios Loukatos & Thomas Bartzanas & Konstantinos G. Arvanitis & Eleni Symeonaki, 2023. "Agricultural Greenhouses: Resource Management Technologies and Perspectives for Zero Greenhouse Gas Emissions," Agriculture, MDPI, vol. 13(7), pages 1-46, July.
    4. 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).
    5. Qazeem Opeyemi Ogunlowo & Timothy Denen Akpenpuun & Wook-Ho Na & Anis Rabiu & Misbaudeen Aderemi Adesanya & Kwame Sasu Addae & Hyeon-Tae Kim & Hyun-Woo Lee, 2021. "Analysis of Heat and Mass Distribution in a Single- and Multi-Span Greenhouse Microclimate," Agriculture, MDPI, vol. 11(9), pages 1-24, September.
    6. Costantino, Andrea & Comba, Lorenzo & Sicardi, Giacomo & Bariani, Mauro & Fabrizio, Enrico, 2021. "Energy performance and climate control in mechanically ventilated greenhouses: A dynamic modelling-based assessment and investigation," Applied Energy, Elsevier, vol. 288(C).
    7. Abdelouhab Labihi & Paul Byrne & Amina Meslem & Florence Collet & Sylvie Prétot, 2023. "Heat Recovery Potential in a Semi-Closed Greenhouse for Tomato Cultivation," Clean Technol., MDPI, vol. 5(4), pages 1-27, September.
    8. 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.
    9. Adnan Rasheed & Wook Ho Na & Jong Won Lee & Hyeon Tae Kim & Hyun Woo Lee, 2021. "Development and Validation of Air-to-Water Heat Pump Model for Greenhouse Heating," Energies, MDPI, vol. 14(15), pages 1-22, August.

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