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Year 2023, Volume: 9 Issue: 5, 1115 - 1129, 17.10.2023
https://doi.org/10.18186/thermal.1370719

Abstract

References

  • REFERENCES
  • [1] Ferreira AG, Maia CB, Cortez AFB, Valle RM. Technical Feasibility Assessment of Solar Chimney for Food Drying. Renew Energy 2009;34:217222. [CrossRef]
  • [2] United Nations, Department of Economic and Social Affairs. World Population Prospects 2017. [Internet]. New York. Available at: https://www.un.org/development/desa/fr/news/population/world-population-prospects-2017 Last Accessed Date: 21.07.2017.
  • [3] Food and Agriculture Organization. La faim ne diminue toujours pas dans le monde depuis trois ans et l’obésité est toujours à la hausse - Rapport des Nations Unies. New York. Available from: http://www.fao.org/news/story/fr/item/1201888/icode/ Last Accessed Date: 15.07.2019.
  • [4] Mistriotis A, Arcidiacono C, Picuno P, Bot GPA, Scarascia-Mugnozza G. Computational analysis of ventilation in greenhouses at zero- and low-wind-speeds. Agric For Meteorol 1997;88:121135. [CrossRef]
  • [5] Boulard T, Haxaire R, Lamrani MA, Roy JC, Jaffrin A. Characterization and Modelling of the Air Fluxes induced by Natural Ventilation in a Greenhouse. J Agric Eng Res 1999;74:135144. [CrossRef]
  • [6] Bouadila S, Kooli S, Skouri S, Lazaar M, Farhat A. Improvement of the greenhouse climate using a solar air heater with latent storage energy. Energy 2014;64:663672. [CrossRef]
  • [7] Kooli S, Bouadila S, Lazaar M, Farhat A. The effect of nocturnal shutter on insulated greenhouse using a solar air heater with latent storage energy. Sol Energy 2015;115:217–228. [CrossRef]
  • [8] Naseer M, Persson T, Righini I, Stanghellini C, Maessen H, Verheul MJ. Bio-economic Evaluation of Greenhouse Designs for Seasonal Tomato Production in Norway. Biosystems Eng 2021;212:413430. [CrossRef]
  • [9] Jain D, Tiwari GN. Effect of greenhouse on crop drying under natural and forced convection I: Evaluation of convective mass transfer coefficient. Energy Convers Manag 2004;45:765–783. [CrossRef]
  • [10] Kumar A, Tiwari GN. Thermal modeling of a natural convection greenhouse drying system for jaggery: An experimental validation. Sol Energy 2006;80:1135–1144. [CrossRef]
  • [11] Ahamed MS, Guo H, Tanino K. Development of a thermal model for simulation of supplemental heating requirements in Chinese-style solar greenhouses. Comput Electron Agric 2018;150:235244. [CrossRef]
  • [12] Tonga G, Christopher DM, Li B. Numerical Modelling of Temperature Variations in a Chinese Solar Greenhouse. Comput Electron Agric 2009;68:129–139. [CrossRef]
  • [13] Boulard T, Wang S. Experimental and numerical studies on the heterogeneity of crop transpiration in a plastic tunnel. Comput Electron Agric 2002;34:173–190. [CrossRef]
  • [14] Bartzanas T, Boulard T, Kittas C. Effect of vent arrangement on windward ventilation of a tunnel greenhouse. Biosyst Eng 2004;88:479–490. [CrossRef]
  • [15] Bournet PE, Boulard T. Effect of Ventilator Configuration on the distributed climate of greenhouses: A review of experimental and CFD Studies. Comput Electron Agric 2010;74:195–217. [CrossRef]
  • [16] Benni S, Tassinari P, Bonora F, Barbaresi A, Torreggiani D. Efficacy of greenhouse natural Ventilation: Environmental monitoring and CFD simulations of a study case. Energy Build 2016;125:276–286. [CrossRef]
  • [17] Majdoubi H, Boulard T, Fatnassi H, Bouirden L. Airflow and microclimate patterns in a one-hectare canary type greenhouse: An experimental and CFD assisted study. Agric For Meteorol 2009;149:1050–1062. [CrossRef]
  • [18] Nebbali R, Roy JC, Boulard T. Dynamic simulation of the distributed radiative and convective climate within a cropped greenhouse. Renew Energy 2012;43:111129. [CrossRef]
  • [19] Boulard T, Roy JC, Pouillard JB, Fatnassi H, Grisey A. Modelling of micrometeorology, canopy transpiration and photosynthesis in a closed greenhouse using computational fluid dynamics. Biosyst Eng 2017;158:110133. [CrossRef]
  • [20] Kim RW, Kim JG, Lee IB, Yeo UH, Lee SY, Decano-Valentin C. Development of three-dimensional visualisation technology of the aerodynamic environment in a Greenhouse using CFD and VR technology, part 1: Development of VR a database using CFD. Biosyst Eng 2021;207:3358. [CrossRef]
  • [21] Yeo UH, Lee SY, Park SJ, Kim JG, Choi YB, Kim RW, et al. 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 2022;12:903. [CrossRef]
  • [22] Ali HB. Mesure et Modelisation des Bilans d'Energie et de Masse (Eau) sur des Plantes Cultivees sous Serre: Impact d'une Restriction Hydrique. (Dissertation Thesis). Angers; 24 Nov 2016.
  • [23] Launder BE, Spalding DB. The numerical computation of turbulent flows. In: Numerical Prediction of Flow, Heat Transfer, Turbulence and Combustion. 1983. p. 96116. [CrossRef]
  • [24] Teitel M, Ziskind G, Liran O, Dubovsky V, Letan R. Effect of wind direction on greenhouse ventilation rate, airflow patterns and temperature distributions. Biosyst Eng 2008;101:351–369. [CrossRef]
  • [25] Ali HB, Bournet PE, Cannavo P, Chantoiseau E. Using CFD to Improve the Irrigation Strategy for Growing Ornamental Plants Inside a Greenhouse. Biosystems Engineering. 2019;186:130145. [CrossRef]
  • [26] He X, Wang J, Guo S, Zhang J, Wei B, Sun J, Shu S. Ventilation Optimization of Solar Greenhouse with Removable Back Walls Based on CFD. Comput Electron Agric 2018;149:1625. [CrossRef]
  • [27] Tigampo S, Sambou V, Dieye Y, Toure PM, Bodian S. Study of air movement and temperature distribution in a greenhouse used as a dryer. MATEC Web of Confer 2020;307:01051. [CrossRef]
  • [28] Kim K, Yoon JY, Kwon HJ, Han JH, Son JE, Nam SW, Giacomelli GA, Lee IB. 3-D CFD Analysis of relative humidity distribution in greenhouse with a fog cooling system and refrigerative dehumidifiers. Biosyst Eng 2008;100:245–255. [CrossRef]
  • [29] ANSYS Fluent Inc. ANSYS Fluent Theory Guide. Pennsylvania, USA: ANSYS Fluent Inc; 2011.
  • [30] Ali HB, Bournet PE, Cannavo P, Chantoiseau E. Development of a CFD crop submodel for simulating microclimate and transpiration of ornamental plants grown in a greenhouse under water Restriction. Comput Electron Agric 2018;149:2040. [CrossRef]
  • [31] Fatnassi H, Boulard T, Bouirden L. Simulation of climatic conditions in full-scale greenhouse fitted with insect-proof screens. Agric Forest Meteorol 2003;118:97–111. [CrossRef]
  • [32] Villagran EA, Baeza Romero EJ, Bojaca CR. Transient CFD analysis of the natural ventilation of three types of greenhouses used for agricultural production in a tropical mountain climate. Biosyst Eng 2019;188:288304. [CrossRef]

CFD modelling of the microclimate of a cultivated greenhouse: A validation study between experimental and numerical results

Year 2023, Volume: 9 Issue: 5, 1115 - 1129, 17.10.2023
https://doi.org/10.18186/thermal.1370719

Abstract

In this work, we present the validation of a numerical model of a greenhouse thermally in-sulated on three sides with a tomato crop. A CFD software (Ansys-Fluent) was used to solve the numerical model. The discrete ordinate model was included to solve the radiative trans-fer equation. The results of the numerical model were compared with the values of air tem-perature observations at different points in the greenhouse. Good agreement was obtained between the simulated and measured values, with coefficients of determination R2 = 0.77, R2 = 0.84, R2 = 0.99, and R2 = 0.89 for the temperatures of the points 10 cm, 80 cm, and 210 cm above the ground and the average temperature in the greenhouse, respectively. A third-order polynomial curve was drawn between the simulated and measured values of relative humidity in the greenhouse. These R2 values are 0.9786 and 0.7165, the simulated and measured relative humidity, respectively. The simulation results showed low velocity values with an average of 0.525 m/s located between 1.5 m and 2 m from the ground.

References

  • REFERENCES
  • [1] Ferreira AG, Maia CB, Cortez AFB, Valle RM. Technical Feasibility Assessment of Solar Chimney for Food Drying. Renew Energy 2009;34:217222. [CrossRef]
  • [2] United Nations, Department of Economic and Social Affairs. World Population Prospects 2017. [Internet]. New York. Available at: https://www.un.org/development/desa/fr/news/population/world-population-prospects-2017 Last Accessed Date: 21.07.2017.
  • [3] Food and Agriculture Organization. La faim ne diminue toujours pas dans le monde depuis trois ans et l’obésité est toujours à la hausse - Rapport des Nations Unies. New York. Available from: http://www.fao.org/news/story/fr/item/1201888/icode/ Last Accessed Date: 15.07.2019.
  • [4] Mistriotis A, Arcidiacono C, Picuno P, Bot GPA, Scarascia-Mugnozza G. Computational analysis of ventilation in greenhouses at zero- and low-wind-speeds. Agric For Meteorol 1997;88:121135. [CrossRef]
  • [5] Boulard T, Haxaire R, Lamrani MA, Roy JC, Jaffrin A. Characterization and Modelling of the Air Fluxes induced by Natural Ventilation in a Greenhouse. J Agric Eng Res 1999;74:135144. [CrossRef]
  • [6] Bouadila S, Kooli S, Skouri S, Lazaar M, Farhat A. Improvement of the greenhouse climate using a solar air heater with latent storage energy. Energy 2014;64:663672. [CrossRef]
  • [7] Kooli S, Bouadila S, Lazaar M, Farhat A. The effect of nocturnal shutter on insulated greenhouse using a solar air heater with latent storage energy. Sol Energy 2015;115:217–228. [CrossRef]
  • [8] Naseer M, Persson T, Righini I, Stanghellini C, Maessen H, Verheul MJ. Bio-economic Evaluation of Greenhouse Designs for Seasonal Tomato Production in Norway. Biosystems Eng 2021;212:413430. [CrossRef]
  • [9] Jain D, Tiwari GN. Effect of greenhouse on crop drying under natural and forced convection I: Evaluation of convective mass transfer coefficient. Energy Convers Manag 2004;45:765–783. [CrossRef]
  • [10] Kumar A, Tiwari GN. Thermal modeling of a natural convection greenhouse drying system for jaggery: An experimental validation. Sol Energy 2006;80:1135–1144. [CrossRef]
  • [11] Ahamed MS, Guo H, Tanino K. Development of a thermal model for simulation of supplemental heating requirements in Chinese-style solar greenhouses. Comput Electron Agric 2018;150:235244. [CrossRef]
  • [12] Tonga G, Christopher DM, Li B. Numerical Modelling of Temperature Variations in a Chinese Solar Greenhouse. Comput Electron Agric 2009;68:129–139. [CrossRef]
  • [13] Boulard T, Wang S. Experimental and numerical studies on the heterogeneity of crop transpiration in a plastic tunnel. Comput Electron Agric 2002;34:173–190. [CrossRef]
  • [14] Bartzanas T, Boulard T, Kittas C. Effect of vent arrangement on windward ventilation of a tunnel greenhouse. Biosyst Eng 2004;88:479–490. [CrossRef]
  • [15] Bournet PE, Boulard T. Effect of Ventilator Configuration on the distributed climate of greenhouses: A review of experimental and CFD Studies. Comput Electron Agric 2010;74:195–217. [CrossRef]
  • [16] Benni S, Tassinari P, Bonora F, Barbaresi A, Torreggiani D. Efficacy of greenhouse natural Ventilation: Environmental monitoring and CFD simulations of a study case. Energy Build 2016;125:276–286. [CrossRef]
  • [17] Majdoubi H, Boulard T, Fatnassi H, Bouirden L. Airflow and microclimate patterns in a one-hectare canary type greenhouse: An experimental and CFD assisted study. Agric For Meteorol 2009;149:1050–1062. [CrossRef]
  • [18] Nebbali R, Roy JC, Boulard T. Dynamic simulation of the distributed radiative and convective climate within a cropped greenhouse. Renew Energy 2012;43:111129. [CrossRef]
  • [19] Boulard T, Roy JC, Pouillard JB, Fatnassi H, Grisey A. Modelling of micrometeorology, canopy transpiration and photosynthesis in a closed greenhouse using computational fluid dynamics. Biosyst Eng 2017;158:110133. [CrossRef]
  • [20] Kim RW, Kim JG, Lee IB, Yeo UH, Lee SY, Decano-Valentin C. Development of three-dimensional visualisation technology of the aerodynamic environment in a Greenhouse using CFD and VR technology, part 1: Development of VR a database using CFD. Biosyst Eng 2021;207:3358. [CrossRef]
  • [21] Yeo UH, Lee SY, Park SJ, Kim JG, Choi YB, Kim RW, et al. 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 2022;12:903. [CrossRef]
  • [22] Ali HB. Mesure et Modelisation des Bilans d'Energie et de Masse (Eau) sur des Plantes Cultivees sous Serre: Impact d'une Restriction Hydrique. (Dissertation Thesis). Angers; 24 Nov 2016.
  • [23] Launder BE, Spalding DB. The numerical computation of turbulent flows. In: Numerical Prediction of Flow, Heat Transfer, Turbulence and Combustion. 1983. p. 96116. [CrossRef]
  • [24] Teitel M, Ziskind G, Liran O, Dubovsky V, Letan R. Effect of wind direction on greenhouse ventilation rate, airflow patterns and temperature distributions. Biosyst Eng 2008;101:351–369. [CrossRef]
  • [25] Ali HB, Bournet PE, Cannavo P, Chantoiseau E. Using CFD to Improve the Irrigation Strategy for Growing Ornamental Plants Inside a Greenhouse. Biosystems Engineering. 2019;186:130145. [CrossRef]
  • [26] He X, Wang J, Guo S, Zhang J, Wei B, Sun J, Shu S. Ventilation Optimization of Solar Greenhouse with Removable Back Walls Based on CFD. Comput Electron Agric 2018;149:1625. [CrossRef]
  • [27] Tigampo S, Sambou V, Dieye Y, Toure PM, Bodian S. Study of air movement and temperature distribution in a greenhouse used as a dryer. MATEC Web of Confer 2020;307:01051. [CrossRef]
  • [28] Kim K, Yoon JY, Kwon HJ, Han JH, Son JE, Nam SW, Giacomelli GA, Lee IB. 3-D CFD Analysis of relative humidity distribution in greenhouse with a fog cooling system and refrigerative dehumidifiers. Biosyst Eng 2008;100:245–255. [CrossRef]
  • [29] ANSYS Fluent Inc. ANSYS Fluent Theory Guide. Pennsylvania, USA: ANSYS Fluent Inc; 2011.
  • [30] Ali HB, Bournet PE, Cannavo P, Chantoiseau E. Development of a CFD crop submodel for simulating microclimate and transpiration of ornamental plants grown in a greenhouse under water Restriction. Comput Electron Agric 2018;149:2040. [CrossRef]
  • [31] Fatnassi H, Boulard T, Bouirden L. Simulation of climatic conditions in full-scale greenhouse fitted with insect-proof screens. Agric Forest Meteorol 2003;118:97–111. [CrossRef]
  • [32] Villagran EA, Baeza Romero EJ, Bojaca CR. Transient CFD analysis of the natural ventilation of three types of greenhouses used for agricultural production in a tropical mountain climate. Biosyst Eng 2019;188:288304. [CrossRef]
There are 33 citations in total.

Details

Primary Language English
Subjects Thermodynamics and Statistical Physics
Journal Section Articles
Authors

Soumaïla Tıgampo This is me 0000-0003-3142-9291

Sami Koolı This is me 0000-0001-5704-0925

Nizar Ben Salah This is me 0000-0001-5103-0822

Walid Foudhıl This is me 0000-0003-0936-2035

Reda Erraıs This is me 0000-0002-6427-9501

Sadok Ben Jabrallah This is me 0000-0003-1528-1207

Vincent Sambou This is me 0000-0002-1042-8348

Publication Date October 17, 2023
Submission Date December 22, 2021
Published in Issue Year 2023 Volume: 9 Issue: 5

Cite

APA Tıgampo, S., Koolı, S., Salah, N. B., Foudhıl, W., et al. (2023). CFD modelling of the microclimate of a cultivated greenhouse: A validation study between experimental and numerical results. Journal of Thermal Engineering, 9(5), 1115-1129. https://doi.org/10.18186/thermal.1370719
AMA Tıgampo S, Koolı S, Salah NB, Foudhıl W, Erraıs R, Jabrallah SB, Sambou V. CFD modelling of the microclimate of a cultivated greenhouse: A validation study between experimental and numerical results. Journal of Thermal Engineering. October 2023;9(5):1115-1129. doi:10.18186/thermal.1370719
Chicago Tıgampo, Soumaïla, Sami Koolı, Nizar Ben Salah, Walid Foudhıl, Reda Erraıs, Sadok Ben Jabrallah, and Vincent Sambou. “CFD Modelling of the Microclimate of a Cultivated Greenhouse: A Validation Study Between Experimental and Numerical Results”. Journal of Thermal Engineering 9, no. 5 (October 2023): 1115-29. https://doi.org/10.18186/thermal.1370719.
EndNote Tıgampo S, Koolı S, Salah NB, Foudhıl W, Erraıs R, Jabrallah SB, Sambou V (October 1, 2023) CFD modelling of the microclimate of a cultivated greenhouse: A validation study between experimental and numerical results. Journal of Thermal Engineering 9 5 1115–1129.
IEEE S. Tıgampo, “CFD modelling of the microclimate of a cultivated greenhouse: A validation study between experimental and numerical results”, Journal of Thermal Engineering, vol. 9, no. 5, pp. 1115–1129, 2023, doi: 10.18186/thermal.1370719.
ISNAD Tıgampo, Soumaïla et al. “CFD Modelling of the Microclimate of a Cultivated Greenhouse: A Validation Study Between Experimental and Numerical Results”. Journal of Thermal Engineering 9/5 (October 2023), 1115-1129. https://doi.org/10.18186/thermal.1370719.
JAMA Tıgampo S, Koolı S, Salah NB, Foudhıl W, Erraıs R, Jabrallah SB, Sambou V. CFD modelling of the microclimate of a cultivated greenhouse: A validation study between experimental and numerical results. Journal of Thermal Engineering. 2023;9:1115–1129.
MLA Tıgampo, Soumaïla et al. “CFD Modelling of the Microclimate of a Cultivated Greenhouse: A Validation Study Between Experimental and Numerical Results”. Journal of Thermal Engineering, vol. 9, no. 5, 2023, pp. 1115-29, doi:10.18186/thermal.1370719.
Vancouver Tıgampo S, Koolı S, Salah NB, Foudhıl W, Erraıs R, Jabrallah SB, Sambou V. CFD modelling of the microclimate of a cultivated greenhouse: A validation study between experimental and numerical results. Journal of Thermal Engineering. 2023;9(5):1115-29.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK http://eds.yildiz.edu.tr/journal-of-thermal-engineering