IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i15p2873-d251825.html
   My bibliography  Save this article

Optimizing the 3D Distributed Climate inside Greenhouses Using Multi-Objective Optimization Algorithms and Computer Fluid Dynamics

Author

Listed:
  • Kangji Li

    (School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Wenping Xue

    (School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Hanping Mao

    (Institute of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Xu Chen

    (School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Hui Jiang

    (School of Electricity Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Gang Tan

    (Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY 82071, USA)

Abstract

As one of the major production facilities in agriculture, a greenhouse has many spatial distributed factors influencing crop growth and energy consumption, such as temperature field, air flow pattern, CO 2 concentration distribution, etc. By introducing a hybrid computational fluid dynamics–evolutionary algorithm (CFD-EA) method, this paper constructs a micro-climate model of greenhouse with main environmental parameters optimized. Considering environmental factors’ spatial influences together with energy usage simultaneously, the optimal solutions of control variables for crop growth are calculated. A commercial greenhouse located in east China is chosen for the method validation. Field experiments using temperature/velocity sensor matrix are carried out for CFD accuracy investigation. On this basis, the proposed optimization method is employed to search for the optimal control variables and parameters corresponding to the environmental Pareto frontier. By the proposed multi-objective scheme, we believe the method can provide set point basis for the design and regulation of large/medium-sized greenhouse production with high spatial resolution.

Suggested Citation

  • Kangji Li & Wenping Xue & Hanping Mao & Xu Chen & Hui Jiang & Gang Tan, 2019. "Optimizing the 3D Distributed Climate inside Greenhouses Using Multi-Objective Optimization Algorithms and Computer Fluid Dynamics," Energies, MDPI, vol. 12(15), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2873-:d:251825
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/15/2873/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/15/2873/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van Beveren, P.J.M. & Bontsema, J. & van Straten, G. & van Henten, E.J., 2015. "Optimal control of greenhouse climate using minimal energy and grower defined bounds," Applied Energy, Elsevier, vol. 159(C), pages 509-519.
    2. Kangji Li & Wenping Xue & Guohai Liu, 2017. "Exploring the Environment/Energy Pareto Optimal Front of an Office Room Using Computational Fluid Dynamics-Based Interactive Optimization Method," Energies, MDPI, vol. 10(2), pages 1-15, February.
    3. Kangji Li & Lei Pan & Wenping Xue & Hui Jiang & Hanping Mao, 2017. "Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study," Energies, MDPI, vol. 10(2), pages 1-23, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kangji Li & Yanhui Mi & Wen Zheng, 2023. "An Optimal Control Method for Greenhouse Climate Management Considering Crop Growth’s Spatial Distribution and Energy Consumption," Energies, MDPI, vol. 16(9), pages 1-19, May.
    2. Morice R. O. Odhiambo & Adnan Abbas & Xiaochan Wang & Ehsan Elahi, 2020. "Thermo-Environmental Assessment of a Heated Venlo-Type Greenhouse in the Yangtze River Delta Region," Sustainability, MDPI, vol. 12(24), pages 1-34, December.
    3. Edwin Villagran & Rommel Leon & Andrea Rodriguez & Jorge Jaramillo, 2020. "3D Numerical Analysis of the Natural Ventilation Behavior in a Colombian Greenhouse Established in Warm Climate Conditions," Sustainability, MDPI, vol. 12(19), pages 1-27, October.
    4. Andrea Colantoni & Rodolfo Picchio & Alvaro Marucci & Elena Di Mattia & Valerio Cristofori & Fabio Recanatesi & Mauro Villarini & Danilo Monarca & Massimo Cecchini, 2020. "WP3—Innovation in Agriculture and Forestry Sector for Energetic Sustainability," Energies, MDPI, vol. 13(22), pages 1-7, November.
    5. 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.
    6. Subin Mattara Chalill & Snehaunshu Chowdhury & Ramanujam Karthikeyan, 2021. "Prediction of Key Crop Growth Parameters in a Commercial Greenhouse Using CFD Simulation and Experimental Verification in a Pilot Study," Agriculture, MDPI, vol. 11(7), pages 1-23, July.
    7. Di Qi & Chuangyao Zhao & Shixiong Li & Ran Chen & Angui Li, 2021. "Numerical Assessment of Earth to Air Heat Exchanger with Variable Humidity Conditions in Greenhouses," Energies, MDPI, vol. 14(5), pages 1-18, March.

    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. Changyu Zhou & Guohe Huang & Jiapei Chen, 2019. "A Type-2 Fuzzy Chance-Constrained Fractional Integrated Modeling Method for Energy System Management of Uncertainties and Risks," Energies, MDPI, vol. 12(13), pages 1-21, June.
    2. Changyu Zhou & Guohe Huang & Jiapei Chen, 2018. "A Multi-Objective Energy and Environmental Systems Planning Model: Management of Uncertainties and Risks for Shanxi Province, China," Energies, MDPI, vol. 11(10), pages 1-21, October.
    3. Benjamin Kubwimana & Hamidreza Najafi, 2023. "A Novel Approach for Optimizing Building Energy Models Using Machine Learning Algorithms," Energies, MDPI, vol. 16(3), pages 1-16, January.
    4. Nadal, Ana & Llorach-Massana, Pere & Cuerva, Eva & López-Capel, Elisa & Montero, Juan Ignacio & Josa, Alejandro & Rieradevall, Joan & Royapoor, Mohammad, 2017. "Building-integrated rooftop greenhouses: An energy and environmental assessment in the mediterranean context," Applied Energy, Elsevier, vol. 187(C), pages 338-351.
    5. Zhang, Guanshan & Ding, Xiaoming & Li, Tianhua & Pu, Wenyang & Lou, Wei & Hou, Jialin, 2020. "Dynamic energy balance model of a glass greenhouse: An experimental validation and solar energy analysis," Energy, Elsevier, vol. 198(C).
    6. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2019. "A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin," Applied Energy, Elsevier, vol. 241(C), pages 331-361.
    7. Mohamed Hamdy & Gerardo Maria Mauro, 2017. "Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO 2 -eq vs. Discounted Payback Time," Energies, MDPI, vol. 10(7), pages 1-26, July.
    8. Ajagekar, Akshay & Decardi-Nelson, Benjamin & You, Fengqi, 2024. "Energy management for demand response in networked greenhouses with multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 355(C).
    9. Theodora Karanisa & Yasmine Achour & Ahmed Ouammi & Sami Sayadi, 2022. "Smart greenhouses as the path towards precision agriculture in the food-energy and water nexus: case study of Qatar," Environment Systems and Decisions, Springer, vol. 42(4), pages 521-546, December.
    10. Dafni Despoina Avgoustaki & George Xydis, 2020. "Plant factories in the water-food-energy Nexus era: a systematic bibliographical review," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 253-268, April.
    11. 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).
    12. Małgorzata Basińska & Dobrosława Kaczorek & Halina Koczyk, 2020. "Building Thermo-Modernisation Solution Based on the Multi-Objective Optimisation Method," Energies, MDPI, vol. 13(6), pages 1-19, March.
    13. Muñoz-Liesa, Joan & Royapoor, Mohammad & López-Capel, Elisa & Cuerva, Eva & Rufí-Salís, Martí & Gassó-Domingo, Santiago & Josa, Alejandro, 2020. "Quantifying energy symbiosis of building-integrated agriculture in a mediterranean rooftop greenhouse," Renewable Energy, Elsevier, vol. 156(C), pages 696-709.
    14. Tae-Hyoung Kim & Young-Sun Jeong, 2018. "Analysis of Energy-Related Greenhouse Gas Emission in the Korea’s Building Sector: Use National Energy Statistics," Energies, MDPI, vol. 11(4), pages 1-17, April.
    15. Zhang, Han & Gao, Xueping & Sun, Bowen & Qin, Zixue & Zhu, Hongtao, 2020. "Parameter analysis and performance optimization for the vertical pipe intake-outlet of a pumped hydro energy storage station," Renewable Energy, Elsevier, vol. 162(C), pages 1499-1518.
    16. 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.
    17. 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.
    18. Lin, Dong & Zhang, Lijun & Xia, Xiaohua, 2021. "Model predictive control of a Venlo-type greenhouse system considering electrical energy, water and carbon dioxide consumption," Applied Energy, Elsevier, vol. 298(C).
    19. Lee-Yong Sung & Jonghoon Ahn, 2020. "Comparative Analyses of Energy Efficiency between on-Demand and Predictive Controls for Buildings’ Indoor Thermal Environment," Energies, MDPI, vol. 13(5), pages 1-15, March.
    20. Drottberger, Annie & Zhang, Yizhi & Yong, Jean Wan Hong & Dubois, Marie-Claude, 2023. "Urban farming with rooftop greenhouses: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(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:gam:jeners:v:12:y:2019:i:15:p:2873-:d:251825. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.