Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of Natural Ventilation Characteristics of Venlo-type Greenhouse with Continuous Roof Vents

연속형 천창을 가진 벤로형 온실의 자연환기 특성 분석

  • Kwon, Jin-Kyeong (Dept. of Agricultural Engineering, National Academy of Agricultural Science, Rural Development Administration) ;
  • Lee, Sung-Hyun (Dept. of Agricultural Engineering, National Academy of Agricultural Science, Rural Development Administration) ;
  • Seong, Jae-Hoon (Dept. of Agricultural Engineering, National Academy of Agricultural Science, Rural Development Administration) ;
  • Moon, Jong-Pil (Dept. of Agricultural Engineering, National Academy of Agricultural Science, Rural Development Administration) ;
  • Lee, Soo-Jang (Dept. of Agricultural Engineering, National Academy of Agricultural Science, Rural Development Administration) ;
  • Choi, Byeong-Min (Dept. of Agricultural Engineering, National Academy of Agricultural Science, Rural Development Administration) ;
  • Kim, Kyeong-Ja (Dept. of Agricultural Engineering, National Academy of Agricultural Science, Rural Development Administration)
  • 권진경 (농촌진흥청 국립농업과학원 농업공학부) ;
  • 이성현 (농촌진흥청 국립농업과학원 농업공학부) ;
  • 성제훈 (농촌진흥청 국립농업과학원 농업공학부) ;
  • 문종필 (농촌진흥청 국립농업과학원 농업공학부) ;
  • 이수장 (농촌진흥청 국립농업과학원 농업공학부) ;
  • 최병민 (농촌진흥청 국립농업과학원 농업공학부) ;
  • 김경자 (농촌진흥청 국립농업과학원 농업공학부)
  • Received : 2011.10.21
  • Accepted : 2001.11.18
  • Published : 2011.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this study the characteristics of natural ventilation of Venlo-type greenhouse with continuous roof vents were analyzed using commercial computational fluid dynamics (CFD) code. Developed CFD simulation model was verified by comparison with experimental data. Simulation errors were 1.9-46.0% for air velocity and 1.7-11.2% for air temperature at each measurement point. CFD simulations were conducted to estimate the effect of roof vents opening direction, opening angle, outside wind velocity and wind directions on ventilation rate and climate condition in greenhouse. The results of this study showed that ventilation rate of the present greenhouse was increased linearly in proportion to the increase of roof vent opening angle and outside wind velocity over 2.0 m/s. According to the analysis on the effects of different roof vent opening direction, simultaneous opening of wind and leeward vents showed the highest ventilation rate and lowest mean temperature in greenhouse.

Keywords

References

  1. Bartzanas, T., T. Boulard and C. Kittas. 2002. Numerical simulation of the airflow and temperature distribution in a wind tunnel greenhouse equipped with insect-proof screen in openings. Computers and Electronics in Agriculture 34:207-221. https://doi.org/10.1016/S0168-1699(01)00188-0
  2. Benet C. O. and J. E. Myers. 1995. Momentum, Heat and Mass transfer. McGraw-Hill. New York. USA.
  3. Boulard, T., J. F. Meneses, M. Mermier and G. Paradakis. 1996. The mechanisms involved in the natural ventilation of greenhouse. Agric. For. Meteorol 79:61-77. https://doi.org/10.1016/0168-1923(95)02266-X
  4. Boulard, T. and S. Wang. 2002. Experimental and numerical studies on the heterogeneity of crop transpiration in a plastic tunnel. Computers and Electronics in Agriculture 34:173-190. https://doi.org/10.1016/S0168-1699(01)00186-7
  5. Bruse, M. 1998. Development of numerical model for the simulation of exchange processes between small scale environmental design and microclimate in urban areas. Ph. D. Thesis. University of Bochum, Germany.
  6. Fatnassi, H., T. Boulard, C. Poncet and M. Chave. 2006. Optimisation of greenhouse insect screening with computational fluid dynamics. Biosystems Engineering 3(93):301-312. https://doi.org/10.1016/j.biosystemseng.2005.11.014
  7. Fernandez, J. E. and B. J. Bailey. 1992. Measurement and prediction of greenhouse ventilation rates. Agric. For. Meteorol 58:229-245. https://doi.org/10.1016/0168-1923(92)90063-A
  8. FLUENT 6.2 2005. User's Guide FLUENT inc. New Hampshire, USA.
  9. Haxaire, R. 1999. Caracterisation et Modelisaton des ecoulements d'air dans uneserre. Ph.D. Thesis. Universite de Nice, Sophia Antipolis, France.
  10. Hong, S. W., I. B. Lee, H. S. Hwang, I. H. Seo, J. P. Bitog, J. I. Yoo, K. S. Kim, S. H. Lee, K. W. Kim and N. K. Yoon. 2008. Numerical simulation of ventilation efficiencies of naturally ventilated multi-span greenhouses in Korea. Transaction of the ASABE. 51(4):1417-1432. https://doi.org/10.13031/2013.25235
  11. Kittas, C., B. Draoui and T. Boulard. 1995. Quantification of the ventilation of a greenhouse with a roof opening. Agric. For. Meteorol 77:95-111. https://doi.org/10.1016/0168-1923(95)02232-M
  12. Lee, I. B, N. K. Yun, T. Boulard, J. C. Roy, S. H. Lee, G. W. Kim, S. K. Lee and S. H. Kwon. 2006. Development of an aerodynamic simulation for studying microclimate of plant canopy in greenhouse-(2) development of CFD model to study the effect of tomato plants on internal climate of greenhouse. J. Bio-Env. Con. 15(4):289-295. (In Korean)
  13. Miguel, A. F. 1998. Airflow through porous screens from theory to practical consideration. Energy and Building. 28:63-69. https://doi.org/10.1016/S0378-7788(97)00065-0
  14. Mistriotis, A., G. P. A. Bot, P. Picuno and G. Scarascis Mugnozza. 1997. Analysis of the efficiency of greenhouse ventilation using computational fluid dynamics. Agric. For. Meteorol. 85: 217-228. https://doi.org/10.1016/S0168-1923(96)02400-8
  15. Moriyama, H., S. Sase, Y. Uematsu and T. Yamaguchi. 2008. Wind pressure coefficient of a pipe-framed greenhouse and influence of the side gable opening using a wind tunnel, Journal of the Society of Agricultural Structures, Japan 38(4):237-248. (In Japanese)
  16. Okushima, L., S. Sase, T. Maekawa and A. Ikeguchi. 1998. Airflow patterns forced by wind effect in venlo type greenhouse. Journal of the Society of Agricultural Structures, Japan 29(3): 159-167. (In Japanese)
  17. Papadakis, G., M. Mermier, J. F. Meneses and T. Boulard. 1996. Measurements and analysis of air exchange rates in a greenhouse with continuous roof and side openings. J. Agric. Eng. 25(9):127-133.
  18. Richard, P. J. and R. P. Hoxey. 1993. Appropriate boundary conditions for computational wind engineering models using the $k-\varepsilon$ turbulence model. Journal of Wind Engineering and Industrial Aerodynamics. 46&47:145-153.
  19. Sase. S., T. Kakakura and M. Nara. 1984. Wind tunnel testing on airflow and temperature distribution of a naturally ventilated greenhouse. Acta Horticulture 148:329-336.
  20. Sase, S., T. Kozai, M. Nara and H. Negishi. 1980. Ventilation of greenhouse. I. Wind tunnel measurement of pressure and discharge coefficients for a single-span greenhouse. J. Agr. Met. 36(1):3-12. https://doi.org/10.2480/agrmet.36.3
  21. Wang, S. and J. Deltour. 1996. An experimental ventilation function for large greenhouses based on a dynamic energy balance model. J. Agric. Eng. 5(3&4):103-112.
  22. Wang, S. and J. Deltour. 1999. Airflow patterns and associated ventilation function in large-scale multi-span greenhouses. Trans. of the ASAE 42(5):1409-1414. https://doi.org/10.13031/2013.13304
  23. Yang, D. K. Nakano, D. Derano, H. Yan, S. Ohashi and Q. Chen. 2009. Numerical analysis on microclimate inside single-span naturally ventilated greenhouse under various wind speeds and directions using CFD. J. SASJ. 40(2):133-142.
  24. Yu, I. H, N. K. Yun, M. W. Cho and I. B. Lee. 2008. Analysis for aerodynamic resistance of chrysanthemum canopy through wind tunnel test. J. Bio-Env. Con. 17(2): 83-89. (In Korean)

Cited by

  1. Analysis of Natural Ventilation Rates of Venlo-type Greenhouse Built on Reclaimed Lands using CFD vol.57, pp.6, 2015, https://doi.org/10.5389/KSAE.2015.57.6.021
  2. Spatial, Vertical, and Temporal Variability of Ambient Environments in Strawberry and Tomato Greenhouses in Winter vol.39, pp.1, 2014, https://doi.org/10.5307/JBE.2014.39.1.047