• Journal of Bio-Environment Control
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• v.24 no.4
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• pp.308-316
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• 2015

This study was conducted to investigate the situation of ICT apply to plastic greenhouse, and the results be apply to design of new one. A CFD analysis were conducted to monitering the ventilation and energy saving of the single span greenhouse newly designed. The causes of delay to apply ICT to plastic greenhouse are the high cost for installation(24%), insufficiency of after services(19%), often disorder(16%), unskillful management of soft ware(15%), insufficient ICT efficiency(13%) and unsatisfying of income increase(12%). The parts of problem occurred in ICT plastic greenhouse are the structure, actuator, environmental control system and sensor(approximate 14%, respectively), remote control technique(13%), plant management technique(12%), energy saving technique(10%) and utilization of software(8%). In the condition of lateral window closed, the average wind speed changed to slow, but it was faster in the condition of leeward side window opened than in the condition of lee and winward side window opened. The air movement in the condition of lateral window closed occur by air moving fan not by out air. It is not affect the room temperature but effective the uniformity of room temperature. The average temperature of low height greenhouse was uniform than high height one. The average temperature in condition of 3rd curtain opened become same with outside temperature after 2 hours, but take more 5 hours in condition of 3rd curtain closed.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1995.04a
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• pp.60-63
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• 1995

우리나라 기상여건을 고려하여 온실의 여름철 고온에 대한 체계적인 연구는 아직 미비한 상태이며 거의 이루어지고 있지 않다. 더우기 많은 자본과 기술이 투자된 현대화 하우스에서 여름철 고온화현상에 대처하는 재배기술부족으로 7, 8월 2개월간 작물을 재배하지 못하고 대부분 휴작을 하므로서 시설의 주년이용과 고도활용에 심각한 문제점으로 대두되고있으며 온실의 주년재배를 위한 여름철의 하우스환경의 적정화연구는 온실재배의 당면과제라 할수 있다. (중략)

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1997.12a
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• pp.263-269
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• 1997

• Korean Journal of Agricultural Science
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• v.28 no.2
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• pp.99-107
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• 2001

It is difficult to install a ventilation window on the roof of single span greenhouses of arch shape. Investigation on the roof ventilation structures for those greenhouses was conducted. In small greenhouses with spans of 5 to 8 m, circular or chimney type ridge vents made of plastic were employed. In large greenhouses with spans of 12 to 18 m, even span roll-up ridge vents made of steel pipe were employed. The effect of roof ventilation was evaluated by comparative experiments between greenhouse installing ridge vents and having controlled side vents only. Roof ventilation contributed greatly to restraint of temperature rise and maintenance of uniform temperature distribution in greenhouses. And ventilation efficiency was analyzed by experiments on the opening and closing operation of the ridge and side vent. There were no temperature differences according to opening and closing sequence of ventilation window. But for greenhouse temperature control by ventilation, it is desirable to open side vents after ridge vents and to close ridge vents after side vents.

• Journal of the Korean Solar Energy Society
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• v.36 no.5
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• pp.31-50
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• 2016

To develope a greenhouse fog cooling system to control the temperature and relative humidity simultaneously to the target value, a theoretical analysis and experiments were done. The control process includes the measuring of environmental variables, setting and coding of the water and heat balance equations to maintain the target temperature and relative humidity in greenhouse, calculating of the open level of the greenhouse roof window that governs the natural ventilation and spray water quantity, and operating of the motor to open/close the roof window and pump to spray for water. The study results were shown to be very good because the average air temperature in the greenhouse was kept to be about $28.2^{\circ}C$ with the standard deviation of about $0.37^{\circ}C$ compared to the target temperature of $28^{\circ}C$ and the average relative humidity was about 75.2% compared to the target relative humidity was 75% during the experiments. The average outside relative humidity was about 41.0% and the average outside temperature was $27.2^{\circ}C$ with the standard deviation of about $0.54^{\circ}C$. The average solar intensity in the greenhouse was 712.9 W. The wind velocity of outside greenhouse was 0.558 m/s with the standard deviation of 0.46 m/s.

• Journal of Bio-Environment Control
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• v.8 no.4
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• pp.281-287
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• 1999

In order to take a good look at effectiveness of cooling of Fog system and Pad-Fan system, we chose 49 farm households which were installed evaporative cooling system and 2 farm households which were installed Pad-Fan system and Fog system for a test. We execute the test on 29 households out of 49.6 households, which were installed Pad-Fan system, were able to use; however, 6 household out of 9 which were installed Fog system couldn't use it. The main reason was the clogged on nozzle. The cooling efficiency on Pad-Fan system was 77.4%, but it was very poor on Fog system. Since there are many problems on Fog system, we need more research on size of fog, the location of nozzle, control of Fog systems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.6
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• pp.147-152
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• 2008

The Climate Change Convention has a purpose for stabilizing the concentration of greenhouse gases of the atmosphere so that the dangerous and artificial effects may not influence atmosphere systems. We intend to present the model needed to establish the systems able to monitor and control in real time not sticking to places by grafting IPTV technique and setting the monitoring objects of the greenhouse emitting sources of industrial facilities, the estimation instruction of emissions, the guidelines of emission estimation, etc. in order to corresponding to this Climate Change Convention.

• Journal of Practical Agriculture & Fisheries Research
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• v.11 no.1
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• pp.183-195
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• 2009

시설하우스의 공기환경은 작물생육에 큰 영향을 준다. 특히 기공주변 공기의 상대습도는 증산작용에 크게 영향을 주며, 안개가 끼게 되면 기공을 통한 증산작용이 일어나지 않아 작물은 생육을 멈추게 된다. 이에 대한 이론적 고찰을 습공기선도를 중심으로 살펴보았으며, 그 기술을 권왕림(경기도 이천시 백사면 모전2리 192) 쌈채소 재배 농장과 정기설(경기도 용인시 백암면 석천리) 백암육계 농장에 적용한 결과를 요약하면 다음과 같다. 1. 여름철 온실 공기의 온도를 낮추기 위하여 널리 사용하는 Pad & Fan, Mist & Fan 등의 증발냉각 방법은 사막 기후지역(온도는 높고 습도는 낮은 지역)에 적합한 방법으로 우리나라와 같이 고온 다습한 기후에는 적합하지 않다. 2. 겨울철 저녁에 온실을 보온하기 전에 따뜻한 공기의 열이 연료비를 절감 할 수 있다는 생각으로 환기를 하지 않으면 절대습도가 높아 약간의 온도가 떨어져도 안개가 발생하게 된다. 3. 겨울철 저녁에 온실을 보온하기 전에 외부 공기로 충분히 환기하여 절대습도를 낮추면 노점온도가 낮아지고, 약간의 난방으로도 온실의 안개를 방지할 수 있다. 4. 여름철 상추재배에서 시원한 바람으로 공기환경을 개선한 결과 41.6%의 증수효과가 있었다. 5. 겨울철 육계농장의 공기환경 개선으로 47,300수 기준으로 폐사율 2%와 난방연료 40%를 절감할 수 있었으며, 육계 성장의 균일도를 53%→73%로 20%정도 높일 수 있었다. ※ 정기설 백암육계 농장(경기도 용인시 백암면 석천리) (011-719-7597)

• Journal of Bio-Environment Control
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• v.18 no.3
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• pp.215-224
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• 2009

A survey on the actual state of heating, cooling, ventilation, and air-flow and experimental measurement of temperature and humidity distribution in tomato greenhouse were performed to provide fundamental data required in the development of air-flow control technology. In single-span plastic houses, which account for most of 136 tomato greenhouses surveyed, roof windows, ventilation and air-flow fans were installed in a low rate, and installation specs of those facilities showed a very large deviation. There were no farms installed greenhouse cooling facilities. In the hot air heating system, which account for most of heating type, installation specs of hot air duct showed also a large deviation. The exhaust air temperature and wind speed in hot air duct also were measured to have a big difference depending on the distance from the heater. We are using the maximum difference as indicator to determine whether temperature distribution is uniform. However if the temperature slope is not identical in greenhouse, it can't represent the uniformity. We analyzed relation between the maximum difference and the uniformity of temperature and humidity distribution. The uniformity was calculated using the mean and standard deviation of data from 12 measuring points. They showed high correlation but were represented differently by linear in the daytime and quadratic in the nighttime. It could see that the uniformity of temperature and humidity distribution was much different according to greenhouse type and heating method. The installation guidelines for ventilation and air-flow fan, the spread of greenhouse cooling technology for year-round stable production, and improvement of air duct and heating system, etc. are needed.

• Journal of Bio-Environment Control
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• v.28 no.2
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• pp.95-103
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• 2019

Temperature and relative humidity are important factors in crop cultivation and should be properly controlled for improving crop yield and quality. In order to control the environment accurately, we need to predict how the environment will change in the future. The objective of this study was to predict air temperature and relative humidity at a future time by using a multilayer perceptron (MLP). The data required to train MLP was collected every 10 min from Oct. 1, 2016 to Feb. 28, 2018 in an eight-span greenhouse ($1,032m^2$) cultivating mango (Mangifera indica cv. Irwin). The inputs for the MLP were greenhouse inside and outside environment data, and set-up and operating values of environment control devices. By using these data, the MLP was trained to predict the air temperature and relative humidity at a future time of 10 to 120 min. Considering typical four seasons in Korea, three-day data of the each season were compared as test data. The MLP was optimized with four hidden layers and 128 nodes for air temperature ($R^2=0.988$) and with four hidden layers and 64 nodes for relative humidity ($R^2=0.990$). Due to the characteristics of MLP, the accuracy decreased as the prediction time became longer. However, air temperature and relative humidity were properly predicted regardless of the environmental changes varied from season to season. For specific data such as spray irrigation, however, the numbers of trained data were too small, resulting in poor predictive accuracy. In this study, air temperature and relative humidity were appropriately predicted through optimization of MLP, but were limited to the experimental greenhouse. Therefore, it is necessary to collect more data from greenhouses at various places and modify the structure of neural network for generalization.