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http://dx.doi.org/10.12791/KSBEC.2021.30.4.278

Environmental Prediction in Greenhouse According to Modified Greenhouse Structure and Heat Exchanger Location for Efficient Thermal Energy Management  

Jeong, In Seon (Forest Technology and Management Research Center, National Institute of Forest Science)
Lee, Chung Geon (Department of Interdisciplinary Program in Smart Agriculture, College of Agriculture and Life Sciences, Kangwon National University)
Cho, La Hoon (Department of Interdisciplinary Program in Smart Agriculture, College of Agriculture and Life Sciences, Kangwon National University)
Park, Sun Yong (Department of Interdisciplinary Program in Smart Agriculture, College of Agriculture and Life Sciences, Kangwon National University)
Kim, Seok Jun (Department of Interdisciplinary Program in Smart Agriculture, College of Agriculture and Life Sciences, Kangwon National University)
Kim, Dae Hyun (Department of Interdisciplinary Program in Smart Agriculture, College of Agriculture and Life Sciences, Kangwon National University)
Oh, Jae-Heun (Forest Technology and Management Research Center, National Institute of Forest Science)
Publication Information
Journal of Bio-Environment Control / v.30, no.4, 2021 , pp. 278-286 More about this Journal
Abstract
In this study, based on the Computational Fluid Dynamics (CFD) simulation model developed through previous study, inner environmenct of the modified glass greenhouse was predicted. Also, suggested the optimal shape of the greenhouse and location of the heat exchangers for heat energy management of the greenhouse using the developed model. For efficient heating energy management, the glass greenhouse was modified by changing the cross-section design and the location of the heat exchanger. The optimal cross-section design was selected based on the cross-section design standard of Republic of Korea's glass greenhouse, and the Fan Coil Unit(FCU) and the radiating pipe were re-positioned based on "Standard of greenhouse environment design" to enhance energy saving efficiency. The simulation analysis was performed to predict the inner temperature distribution and heat transfer with the modified greenhouse structure using the developed inner environment prediction model. As a result of simulation, the mean temperature and uniformity of the modified greenhouse were 0.65℃, 0.75%p higher than those of the control greenhouse, respectively. Also, the maximum deviation decreased by an average of 0.25℃. And the mean age of air was 18 sec. lower than that of the control greenhouse. It was confirmed that efficient heating energy management was possible in the modified greenhouse, when considered the temperature uniformity and the ventilation performance.
Keywords
computational fluid dynamics; cross-section design; heat exchanger; mean age of air; microclimate;
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