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http://dx.doi.org/10.12791/KSBEC.2020.29.3.285

Development and Validation of Inner Environment Prediction Model for Glass Greenhouse using CFD  

Jeong, In Seon (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
Lee, Chung Geon (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
Cho, La Hoon (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
Park, Sun Yong (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
Kim, Min Jun (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
Kim, Seok Jun (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
Kim, Dae Hyun (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Kangwon national university)
Publication Information
Journal of Bio-Environment Control / v.29, no.3, 2020 , pp. 285-292 More about this Journal
Abstract
Because the inner environment of greenhouse has a direct impact on crop production, many studies have been performed to develop technologies for controlling the environment in the greenhouse. However, it is difficult to apply the technology developed to all greenhouses because those studies were conducted through empirical experiments in specific greenhouses. It takes a lot of time and cost to develop the models that can be applicable to all greenhouse in real situation. Therefore studies are underway to solve this problem using computer-based simulation techniques. In this study, a model was developed to predict the inner environment of glass greenhouse using CFD simulation method. The developed model was validated using primary and secondary heating experiment and daytime greenhouse inner temperature data. As a result of comparing the measured and predicted value, the mean temperature and uniformity were 2.62℃ and 2.92%p higher in the predicted value, respectively. R2 was 0.9628, confirming that the measured and the predicted values showed similar tendency. In the future, the model needs to improve by applying the shape of the greenhouse and the position of the inner heat exchanger for efficient thermal energy management of the greenhouse.
Keywords
Facility horticulture; Computational Fluid Dynamics; Microclimate; Temperature distribution; Streamline;
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  • Reference
1 Ansys Inc., ANSYS FLUENT 19.1 User's Guide, 2019.
2 Ansys Inc., ANSYS FLUENT 19.1 Theory Guide, 2019.
3 Ansys Inc., FLUENT UDF Manual, 2019.
4 Fatnassi, H., C. Poncet, M.M. Bazzano, R. Brun, and N. Bertin. 2015. A numerical simulation of the photovoltaic greenhouse microclimate. Solar Energy. 120:575-584.   DOI
5 Kim, H.S. 2001. Prediction of Cooling Effect for Fog Cooling System in Greenhouse by CFD Simulation. Master Diss., Seoul National Univ., Seoul (in Korean).
6 Kang, Y.K., Y.B. Lee, J.H. Lee, and Y.S. Ryou, 2005. Performance of Geothermal Heat Pump for Greenhouse Heating and Cooling. Journal of Bio-Environment Control. 14:178-184 (in Korean).
7 Kang, D.H., S.Y. Lee, J.E. Son, I.B. Lee, and S.W. Nam, 2015. Design Standards for Greenhouse Environment. National Institute of Agricultural Sciences (in Korean).
8 Kim, H.N. 2016. Analysis of Heating Effect by Using Heat Pump and Surplus Solar Energy in Glass Greenhouse. Master Diss., Gyeongsang National Univ., Seoul National Univ., Jinju (in Korean).
9 Kwon, J.K., J.G. Jeon, S.H. Kim, and H.G. Kim, 2016. Application Effect of Heating Energy Saving Package on Venlo Type Glasshouse of Paprika Cultivation. Protected Horticulture and Plant Factory. 25:225-231 (in Korean).   DOI
10 Lee, Y.B., H.J. Jeon, and J. E. Son, 2010. Facility horticulture. Hyangmunsa (in Korean).
11 Ministry of Agriculture, Food and Rural Affairs. 2019(a). 2018 Facility vegetables Greenhouse status and vegetable production performance (in Korean).
12 Hong, S.W. and I.B. Lee, 2014. Predictive Model of Micro-Environment in a Naturally Ventilated Greenhouse for a Model-Based Control Approach. Protected Horticulture and Plant Factory. 23:181-191 (in Korean).   DOI
13 Yu, I.H., N.K. Yun, M.W. Cho, H.R. Ryu, and D.G. Moon, 2014. Development of CFD model for analyzing the air flow and temperature distribution in greenhouse with air-circulation fans. CNU Journal of Agricultural Science. 41:461-472 (in Korean).
14 Ministry of Agriculture, Food and Rural Affairs. 2019(b). 2018 Flower culture status (in Korean).
15 Nam, S.W. and Y.S. Kim, 2009. Analysis on the Uniformity of Temperature and Humidity According to Environment Control in Tomato Greenhouses. Protected Horticulture and Plant Factory. 18:215-224 (in Korean).
16 Tadj, N., T.D. Bartzanas, Fidaros, B. Draoui, and C. Kittas, 2010. Influence of Heating System on Greenhouse Microclimate Distribution. Transactions of the ASABE 53:225-238.   DOI