스마트온실의 에너지 분석 모델 개발 및 냉방 패키지 성능 분석
Development of Smart Greenhouse Energy Analysis Model and Analysis of Cooling Packages Performance
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초록
Through active cooling, smart farms equipped with environmental control systems can overcome the limitations of existing greenhouses that are closed due to heat damage in summer. The control system can extend the crop harvest period by maintaining growth temperature and maintain fixed crop quality throughout the year. Accordingly, there is an increasing need for a cooling performance analysis model for smart farm cooling system applications. Therefore, in this study, a cooling package applicable to greenhouses was proposed, and the energy consumption of the cooling package was analyzed using EnergyPlus. Through consideration and analysis of previous studies, three cooling packages, which included natural ventilation and shading – basic cooling methods – were set up. A greenhouse energy model was developed for a smart farm in Naju. Prior to modeling the cooling packages, the predicted temperature and relative humidity performance of the greenhouse model was verified based on 24-hour measurement data from 9/16 to 9/17 for greenhouses without cooling. The greenhouse model showed performance that satisfied the recommended error value of MBE = -5.8, -6.3% and Cv(RMSE) = 8.7, 8.9% at the dry bulb temperature and relative humidity, respectively. On the basis of the verified model, plant evapotranspiration was simulated using the Stanghellini model, and cooling performance was analyzed using the three cooling package models. Package 1 showed an energy consumption of 20 W/m2, which is advantageous in terms of energy cost, but cannot maintain an appropriate growth environment. Packages 2 and 3 were found to be disadvantageous in terms of energy cost because of their relatively high energy consumption, but could be advantageous in maintaining growth temperature.
Abstract
Through active cooling, smart farms equipped with environmental control systems can overcome the limitations of existing greenhouses that are closed due to heat damage in summer. The control system can extend the crop harvest period by maintaining growth temperature and maintain fixed crop quality throughout the year. Accordingly, there is an increasing need for a cooling performance analysis model for smart farm cooling system applications. Therefore, in this study, a cooling package applicable to greenhouses was proposed, and the energy consumption of the cooling package was analyzed using EnergyPlus. Through consideration and analysis of previous studies, three cooling packages, which included natural ventilation and shading – basic cooling methods – were set up. A greenhouse energy model was developed for a smart farm in Naju. Prior to modeling the cooling packages, the predicted temperature and relative humidity performance of the greenhouse model was verified based on 24-hour measurement data from 9/16 to 9/17 for greenhouses without cooling. The greenhouse model showed performance that satisfied the recommended error value of MBE = -5.8, -6.3% and Cv(RMSE) = 8.7, 8.9% at the dry bulb temperature and relative humidity, respectively. On the basis of the verified model, plant evapotranspiration was simulated using the Stanghellini model, and cooling performance was analyzed using the three cooling package models. Package 1 showed an energy consumption of 20 W/m2, which is advantageous in terms of energy cost, but cannot maintain an appropriate growth environment. Packages 2 and 3 were found to be disadvantageous in terms of energy cost because of their relatively high energy consumption, but could be advantageous in maintaining growth temperature.
참고문헌 (28)
- Smart Farm Technology and Market Trends Reports, "Korea Institute for Science and Technology Job Promotion", ~, pp.S&T Market Report, Vol. 69 (2019)
- Status and Policy Tasks For Korean Smart-Farm Based on ICT Convergence, "National Assembly Research Service", NARS, ~, pp.Current Issues and Analysis, Vol. 95 (2019)
- Smart farm 2019-2021, Technology Roadmap for SME, "Ministry of SMEs and Startups", ~ (2018)
- Kim, T. W., "ICT-based Smart Farm Greenhouse Status and Prospects", Journal of The Korean Institute of Communication Sciences, 36(3), pp.3~8 (2019)
- 박민정, "연동형 비닐하우스의 환기창 형태 조사 및 자연환기 효과 분석", 생물환경조절학회지, 29(1), pp.36~42 (2020), (사) 한국생물환경조절학회[DOI]
- 남상운, "간척지 온실의 환기 및 냉방 특성 분석", 생물환경조절학회지, 26(3), pp.181~187 (2017), (사) 한국생물환경조절학회
- 김동억, "여름철 수시차광에 의한 온실 환경변화가 오이의 광호흡, 엽온, Thermal breakdown 등 생육에 미치는 영향", 생물환경조절학회지, 29(3), pp.306~312 (2020), (사) 한국생물환경조절학회[DOI]
- Rural Development Administration, "Energy Saving Technology for Controlled Horticulture, Argricultural Technology Guide 114" (2014)
- 이태석, "단동온실 내 공기순환팬 사용에 따른 온습도 및 에너지소비량 비교 분석", 생물환경조절학회지, 26(4), pp.276~282 (2017), (사) 한국생물환경조절학회
- 박석호, "온실 포그 냉방 제어시스템 개발 및 냉방효과", 생물환경조절학회지, 29(3), pp.265~276 (2020), (사) 한국생물환경조절학회[DOI]
- 남상운, "포그분사 및 공기유동에 의한 온실재배 토마토의 엽온 변화", 생물환경조절학회지, 23(1), pp.11~18 (2014), (사) 한국생물환경조절학회
- Ryou, Y. S., "Performance Test of Greenhouse Air Conditioning System Using Heat Pump", Protected Horticulture and Plant Factory, 12(2), pp.20~35 (1999)
- 이재한, "지열-열펌프 시스템의 온실냉방 및 육묘 효과", 생물환경조절학회지, 15(3), pp.211~216 (2006), (사) 한국생물환경조절학회
- 박용정, "축열조를 채용한 수평형 지열원 히트펌프 온실 난방 시스템에 관한 연구", 에너지공학, 15(3), pp.194~201 (2006), 한국에너지학회
- 이연건, "제주 시설온실 냉난방을 위한 발전소 온배수 활용 열펌프 시스템 구축 및 냉방성능 평가", 에너지공학, 27(4), pp.70~79 (2018), 한국에너지학회
- 최창용, "밀폐형 유리온실에서의 냉난방에너지 절감을 위한 자동제어 댐퍼시스템 설계", 한국기계기술학회지, 18(3), pp.397~404 (2016), 한국기계기술학회[DOI]
- 박두용, "스마트팜 적용 단일소재 피복재의 시험을 통한 빛환경 성능평가 및 주광분포 시뮬레이션", KIEAE Journal, 21(4), pp.111~116 (2021), 한국생태환경건축학회[DOI]
- EnergyPlus Input, "Output reference 9.3", United State of America Department Of Energy, 2020
- Mun, S. H., "Limitation of EnergyPlus in Analyzing Energy Performance of Semi-Transparent Photovoltaic Modules", Case Studies in Thermal Engineering, 22(100765) (2020)
- ASHRAE, "Measurement of Energy and Demand Savings (Guideline 14)" (2002), American Society of Heating Refrigerating and Air-Conditioning Engineers
- Prenger, J., "A Comparison of Four Evapotranspiration Models In a Greenhouse Environment", Transactions of the ASAE, 45(6), pp.1779~1788 (2002)
- Lopez-Cruz, I., "Simulation of Greenhouse Tomato Crop Transpiration by Two Theorerical Models", Acta Hortic, 797, pp.145~150 (2008)
- Villarreal-Guerrero, F., "Comparison of Three Evapotranspiration Models for a Greenhouse Cooling Strategy with Natural Ventilation and Variable High Pressure Fogging", Scientia Horticulture, 134, pp.210~221 (2012)
- Stanghellini, C., "Transpiration of Greenhouse Crops: An Aid to Climate Management", Ph.D., pp.1987
- Shen, W., "Energy Consumption Prediction of a Greenhouse and Optimization of Daily Average Temperature", Energies, 11(1), pp.65~ (2018)
- "Smart Farm Optimal Environment Information Service"[URL]
- 이종구, "광강도와 상대습도에 따른 온실 딸기의 엽온 특성", 농업생명과학연구, 54(1), pp.91~98 (2020), 농업생명과학연구원[DOI]
- EnergyPlus Engineering Reference 9.3, "United State of America Department Of Energy", ~ (2020)
