Rooftop Greenhouse: (1) Design and Validation of a BES Model for a Plastic-Covered Greenhouse Considering the Tomato Crop Model and Natural Ventilation Characteristics

Uk-Hyeon Yeo, Sang-Yeon Lee, Se-Jun Park, Jun-Gyu Kim, Young-Bae Choi, Rack-Woo Kim, Jong Hwa Shin and In-Bok Lee
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Uk-Hyeon Yeo: Agriculture, Animal & Aquaculture Intelligence Research Center, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea
Sang-Yeon Lee: Research Institute for Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, Gwanak-ro 1, Gwanakgu, Seoul 08826, Korea
Se-Jun Park: Department of Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, Gwanak-ro 1, Gwanakgu, Seoul 08826, Korea
Jun-Gyu Kim: Department of Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, Gwanak-ro 1, Gwanakgu, Seoul 08826, Korea
Young-Bae Choi: Department of Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, Gwanak-ro 1, Gwanakgu, Seoul 08826, Korea
Rack-Woo Kim: Department of Smart Farm Engineering, College of Industrial Sciences, Kongju National University, 54 Daehak-ro, Yesan-eup, Yesan-gun 32439, Korea
Jong Hwa Shin: Department of Horticulture and Breeding, College of Life Sciences and Biotechnology, Andong National University, 1375 Gyeongdong-ro, Andong 36729, Korea
In-Bok Lee: Research Institute for Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, Gwanak-ro 1, Gwanakgu, Seoul 08826, Korea

Agriculture, 2022, vol. 12, issue 7, 1-25

Abstract: Energy management of a building-integrated rooftop greenhouse (BiRTG) is considered one of the important factors. Accordingly, the interest in energy simulation models has increased. Energy load computed from the simulation model can be used for appropriate capacity calculation and optimal operation of the environmental control system. In particular, because the thermal environment of greenhouses is sensitive to the external weather environment, dynamic energy simulations, such as building energy simulation (BES), play an essential role in understanding the complex mechanisms of heat transfer in greenhouses. Depending on the type and crop density, there is a significant difference in the thermal energy loads of greenhouses. Furthermore, ventilation is also an important factor affecting the energy input of the greenhouse. Therefore, this study aimed to design and validate BES models considering the crop and ventilation characteristics of a naturally ventilated greenhouse before designing and evaluating a BES model for the BiRTG. First, the BES module for the greenhouse and crop models was designed using field-measured data, and the ventilation characteristics were analysed using computational fluid dynamics (CFD). The greenhouse BES model was designed and then validated by comparing air temperature (T a ) and relative humidity (RH) measured at the greenhouse with the BES-computed results of the greenhouse model. The results showed that the average absolute error of T a was 1.57 °C and RH was 7.7%. The R 2 of the designed BES model for T a and RH were 0.96 and 0.89, respectively. These procedures and sub-modules developed were applied to the energy load calculation of BiRTG.

Keywords: building energy simulation (BES); computational fluid dynamics (CFD); crop model; greenhouse; thermal energy load; ventilation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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