IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v198y2022ics0308521x22000245.html
   My bibliography  Save this article

Process-based greenhouse climate models: Genealogy, current status, and future directions

Author

Listed:
  • Katzin, David
  • van Henten, Eldert J.
  • van Mourik, Simon

Abstract

Process-based greenhouse climate models are valuable tools for the analysis and design of greenhouse systems. A growing number of greenhouse models are published in recent years, making it difficult to identify which components are shared across models, which are new developments, and what are the objectives, strengths and weaknesses of each model.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agisys:v:198:y:2022:i:c:s0308521x22000245
    DOI: 10.1016/j.agsy.2022.103388
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X22000245
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2022.103388?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. Keating, Brian A., 2020. "Crop, soil and farm systems models – science, engineering or snake oil revisited," Agricultural Systems, Elsevier, vol. 184(C).
    2. Esmaeli, Homa & Roshandel, Ramin, 2020. "Optimal design for solar greenhouses based on climate conditions," Renewable Energy, Elsevier, vol. 145(C), pages 1255-1265.
    3. 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).
    4. 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.
    5. M. Abbes & A. Farhat & A. Mami, 2019. "Pseudo bond graph tunnel greenhouse model with accurate longwave/shortwave radiations model," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 25(1), pages 90-114, January.
    6. 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.
    7. Vadiee, Amir & Martin, Viktoria, 2013. "Energy analysis and thermoeconomic assessment of the closed greenhouse – The largest commercial solar building," Applied Energy, Elsevier, vol. 102(C), pages 1256-1266.
    8. Sibel Eker & Elena Rovenskaya & Michael Obersteiner & Simon Langan, 2018. "Practice and perspectives in the validation of resource management models," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    9. 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).
    10. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
    11. Van Beveren, P.J.M. & Bontsema, J. & Van Straten, G. & Van Henten, E.J., 2015. "Minimal heating and cooling in a modern rose greenhouse," Applied Energy, Elsevier, vol. 137(C), pages 97-109.
    12. Alinejad, T. & Yaghoubi, M. & Vadiee, A., 2020. "Thermo-environomic assessment of an integrated greenhouse with an adjustable solar photovoltaic blind system," Renewable Energy, Elsevier, vol. 156(C), pages 1-13.
    13. Ronald L. Wasserstein & Nicole A. Lazar, 2016. "The ASA's Statement on p -Values: Context, Process, and Purpose," The American Statistician, Taylor & Francis Journals, vol. 70(2), pages 129-133, May.
    14. 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.
    15. Jiaoliao Chen & Jiangwu Zhao & Fang Xu & Haigen Hu & QingLin Ai & Jiangxin Yang, 2015. "Modeling of Energy Demand in the Greenhouse Using PSO-GA Hybrid Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-6, 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. 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.

    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. 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).
    2. 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).
    3. 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.
    4. 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.
    5. Katzin, David & Marcelis, Leo F.M. & van Mourik, Simon, 2021. "Energy savings in greenhouses by transition from high-pressure sodium to LED lighting," Applied Energy, Elsevier, vol. 281(C).
    6. Sun, Weituo & Wei, Xiaoming & Zhou, Baochang & Lu, Chungui & Guo, Wenzhong, 2022. "Greenhouse heating by energy transfer between greenhouses: System design and implementation," Applied Energy, Elsevier, vol. 325(C).
    7. Hu, Guoqing & You, Fengqi, 2023. "An AI framework integrating physics-informed neural network with predictive control for energy-efficient food production in the built environment," Applied Energy, Elsevier, vol. 348(C).
    8. Zhang, Kai & Yu, Jihua & Ren, Yan, 2022. "Research on the size optimization of photovoltaic panels and integrated application with Chinese solar greenhouses," Renewable Energy, Elsevier, vol. 182(C), pages 536-551.
    9. 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).
    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. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    12. Stirling, Sofía & Fariña, Santiago & Pacheco, David & Vibart, Ronaldo, 2021. "Whole-farm modelling of grazing dairy systems in Uruguay," Agricultural Systems, Elsevier, vol. 193(C).
    13. Uk-Hyeon Yeo & Sang-Yeon Lee & Se-Jun Park & Jun-Gyu Kim & Young-Bae Choi & Rack-Woo Kim & Jong Hwa Shin & In-Bok Lee, 2022. "Rooftop Greenhouse: (1) Design and Validation of a BES Model for a Plastic-Covered Greenhouse Considering the Tomato Crop Model and Natural Ventilation Characteristics," Agriculture, MDPI, vol. 12(7), pages 1-25, June.
    14. 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.
    15. 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).
    16. Ouammi, Ahmed, 2021. "Model predictive control for optimal energy management of connected cluster of microgrids with net zero energy multi-greenhouses," Energy, Elsevier, vol. 234(C).
    17. Hassanien, Reda Hassanien Emam & Li, Ming & Dong Lin, Wei, 2016. "Advanced applications of solar energy in agricultural greenhouses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 989-1001.
    18. 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).
    19. Engler, Nicholas & Krarti, Moncef, 2021. "Review of energy efficiency in controlled environment agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    20. 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.

    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:agisys:v:198:y:2022:i:c:s0308521x22000245. 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.elsevier.com/locate/agsy .

    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.