IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v285y2023ics0360544223029080.html
   My bibliography  Save this article

Thermal performance and energy cost of Korean multispan greenhouse energy-saving screens

Author

Listed:
  • Rabiu, Anis
  • Adesanya, Misbaudeen Aderemi
  • Na, Wook-Ho
  • Ogunlowo, Qazeem O.
  • Akpenpuun, Timothy D.
  • Kim, Hyeon Tae
  • Lee, Hyun-Woo

Abstract

Protected agricultural system such as a greenhouse cultivation is increasingly replacing traditional farming systems. Nonetheless, high energy demand in greenhouse farming requires innovative technologies through the use of climate screens to ensure sustainable production. Thus, this study developed a novel methodology for examining the energy retention capacity and economic effectiveness of greenhouse climate screen materials using their thermophysical, radiometric and aerodynamic properties in TRNSYS software. The TRNSYS model was developed to determine the energy consumption, which was validated using a multi-span Venlo-type experimental greenhouse (Yeoju, South Korea). Further analyses on energy saving capacity of different screens and the equivalent energy costs were performed. The results from this research showed that among the fifteen investigated screens, the ensemble screen (M3) saved 34.09 kWh.m−2 of annual energy, equivalent to 60 % of the heating energy demand, and energy cost of 4490.26 Korean won. m−2. Further, the results revealed that the climate screens with multi-layer, thermoreflective, low longwave transmissivity, impermeable and aluminized strips or surface characteristics and features have a considerable impact on reducing greenhouse energy use and desirable for high energy-saving. This research has demonstrated that the techniques and methods utilised can investigate all the types of covering and thermal screens used in greenhouse.

Suggested Citation

  • Rabiu, Anis & Adesanya, Misbaudeen Aderemi & Na, Wook-Ho & Ogunlowo, Qazeem O. & Akpenpuun, Timothy D. & Kim, Hyeon Tae & Lee, Hyun-Woo, 2023. "Thermal performance and energy cost of Korean multispan greenhouse energy-saving screens," Energy, Elsevier, vol. 285(C).
    • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223029080
    DOI: 10.1016/j.energy.2023.129514
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223029080
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129514?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. Yongtao Shen & Ruihua Wei & Lihong Xu, 2018. "Energy Consumption Prediction of a Greenhouse and Optimization of Daily Average Temperature," Energies, MDPI, vol. 11(1), pages 1-17, January.
    3. 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.
    4. 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.
    5. Cuce, Erdem & Harjunowibowo, Dewanto & Cuce, Pinar Mert, 2016. "Renewable and sustainable energy saving strategies for greenhouse systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 34-59.
    6. António M. Raimundo & Nuno Baía Saraiva & Luisa Dias Pereira & Ana Cristina Rebelo, 2021. "Market-Oriented Cost-Effectiveness and Energy Analysis of Windows in Portugal," Energies, MDPI, vol. 14(13), pages 1-19, June.
    7. Baneshi, Mehdi & Gonome, Hiroki & Maruyama, Shigenao, 2020. "Wide-range spectral measurement of radiative properties of commercial greenhouse covering plastics and their impacts into the energy management in a greenhouse," Energy, Elsevier, vol. 210(C).
    8. 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.
    9. Lin, Terry & Goldsworthy, Mark & Chavan, Sachin & Liang, Weiguang & Maier, Chelsea & Ghannoum, Oula & Cazzonelli, Christopher I. & Tissue, David T. & Lan, Yi-Chen & Sethuvenkatraman, Subbu & Lin, Han , 2022. "A novel cover material improves cooling energy and fertigation efficiency for glasshouse eggplant production," Energy, Elsevier, vol. 251(C).
    10. Yano, Akira & Cossu, Marco, 2019. "Energy sustainable greenhouse crop cultivation using photovoltaic technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 116-137.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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.
    3. Dimitra I. Pomoni & Maria K. Koukou & Michail Gr. Vrachopoulos & Labros Vasiliadis, 2023. "A Review of Hydroponics and Conventional Agriculture Based on Energy and Water Consumption, Environmental Impact, and Land Use," Energies, MDPI, vol. 16(4), pages 1-26, February.
    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. Parajuli, Samvid & Narayan Bhattarai, Tek & Gorjian, Shiva & Vithanage, Meththika & Raj Paudel, Shukra, 2023. "Assessment of potential renewable energy alternatives for a typical greenhouse aquaponics in Himalayan Region of Nepal," Applied Energy, Elsevier, vol. 344(C).
    6. Javier Padilla & Carlos Toledo & Rodolfo López-Vicente & Raquel Montoya & José-Ramón Navarro & José Abad & Antonio Urbina, 2021. "Passive Heating and Cooling of Photovoltaic Greenhouses Including Thermochromic Materials," Energies, MDPI, vol. 14(2), pages 1-22, January.
    7. 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.
    8. Fernández, Eduardo F. & Villar-Fernández, Antonio & Montes-Romero, Jesús & Ruiz-Torres, Laura & Rodrigo, Pedro M. & Manzaneda, Antonio J. & Almonacid, Florencia, 2022. "Global energy assessment of the potential of photovoltaics for greenhouse farming," Applied Energy, Elsevier, vol. 309(C).
    9. 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.
    10. Carlos Toledo & Alessandra Scognamiglio, 2021. "Agrivoltaic Systems Design and Assessment: A Critical Review, and a Descriptive Model towards a Sustainable Landscape Vision (Three-Dimensional Agrivoltaic Patterns)," Sustainability, MDPI, vol. 13(12), pages 1-38, June.
    11. Chiara Terrosi & Sonia Cacini & Gianluca Burchi & Maurizio Cutini & Massimo Brambilla & Carlo Bisaglia & Daniele Massa & Marco Fedrizzi, 2020. "Evaluation of Compressor Heat Pump for Root Zone Heating as an Alternative Heating Source for Leafy Vegetable Cultivation," Energies, MDPI, vol. 13(3), pages 1-15, February.
    12. 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).
    13. Chiara Bersani & Ahmed Ouammi & Roberto Sacile & Enrico Zero, 2020. "Model Predictive Control of Smart Greenhouses as the Path towards Near Zero Energy Consumption," Energies, MDPI, vol. 13(14), pages 1-17, July.
    14. Mingzhi Zhao & Ningbo Wang & Chun Chang & Xiaoming Hu & Yingjie Liu & Lei Liu & Jianan Wang, 2023. "Comparative Analysis of the Filling Mass of Vertical Heat Exchanger Tubes on the Thermal Environment of Arched Greenhouses," Energies, MDPI, vol. 16(13), pages 1-28, July.
    15. 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).
    16. 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).
    17. Engler, Nicholas & Krarti, Moncef, 2021. "Review of energy efficiency in controlled environment agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    18. Ge, Quanwu & Ke, Zhixin & Liu, Yutong & Chai, Fu & Yang, Wenhua & Zhang, Zhili & Wang, Yang, 2023. "Low-carbon strategy of demand-based regulating heating and lighting for the heterogeneous environment in beijing Venlo-type greenhouse," Energy, Elsevier, vol. 267(C).
    19. Luo, X.J. & Oyedele, Lukumon O. & Ajayi, Anuoluwapo O. & Akinade, Olugbenga O. & Owolabi, Hakeem A. & Ahmed, Ashraf, 2020. "Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    20. Wang, XiaoLong & Sun, GuoChen & Zhang, LinHua & Lei, WenJun & Zhang, WenKe & Li, HaoYi & Zhang, ChunYue & Guo, JingChenxi, 2023. "Application of green energy in smart rural passive heating: A case study of indoor temperature self-regulating greenhouse of winter in Jinan, China," Energy, Elsevier, vol. 278(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223029080. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.