DOI QR코드

DOI QR Code

건물에너지시뮬레이션을 활용한 연동형 온실 및 작물에너지모델 설계 및 이의 냉·난방부하 산정

Design of Energy Model of Greenhouse Including Plant and Estimation of Heating and Cooling Loads for a Multi-Span Plastic-Film Greenhouse by Building Energy Simulation

  • 이승노 (서울대학교 지역시스템공학전공) ;
  • 박세준 (서울대학교 지역시스템공학전공) ;
  • 이인복 (서울대학교 지역시스템공학전공) ;
  • 하태환 (서울대학교 지역시스템공학전공) ;
  • 권경석 (서울대학교 지역시스템공학전공) ;
  • 김락우 (서울대학교 지역시스템공학전공) ;
  • 여욱현 (서울대학교 지역시스템공학전공) ;
  • 이상연 (서울대학교 지역시스템공학전공)
  • Lee, Seung-No (Department of Rural Systems Engineering, Seoul National University) ;
  • Park, Se-Jun (Department of Rural Systems Engineering, Seoul National University) ;
  • Lee, In-Bok (Department of Rural Systems Engineering, Seoul National University) ;
  • Ha, Tae-Hwan (Department of Rural Systems Engineering, Seoul National University) ;
  • Kwon, Kyeong-Seok (Department of Rural Systems Engineering, Seoul National University) ;
  • Kim, Rack-Woo (Department of Rural Systems Engineering, Seoul National University) ;
  • Yeo, Uk-Hyeon (Department of Rural Systems Engineering, Seoul National University) ;
  • Lee, Sang-Yeon (Department of Rural Systems Engineering, Seoul National University)
  • 투고 : 2016.06.01
  • 심사 : 2016.06.21
  • 발행 : 2016.06.30

초록

The importance of energy saving technology for managing greenhouse was recently highlighted. For practical use of energy in greenhouse, it is necessary to simulate energy flow precisely and estimate heating/cooling loads of greenhouse. So the main purpose of this study was to develope and to validate greenhouse energy model and to estimate annual/maximum energy loads using Building Energy Simulation (BES). Field experiments were carried out in a multi-span plastic-film greenhouse in Jeju Island ($33.2^{\circ}N$, $126.3^{\circ}E$) for 2 months. To develop energy model of the greenhouse, a set of sensors was used to measure the greenhouse microclimate such as air temperature, humidity, leaf temperature, solar radiation, carbon dioxide concentration and so on. Moreover, characteristic length of plant leaf, leaf area index and diffuse non-interceptance were utilized to calculate sensible and latent heat exchange of plant. The internal temperature of greenhouse was compared to validate the greenhouse energy model. Developed model provided a good estimation for the internal temperature throughout the experiments period (coefficients of determination > 0.85, index of agreement > 0.92). After the model validation, we used last 10 years weather data to calculate energy loads of greenhouse according to growth stage of greenhouse crop. The tendency of heating/cooling loads change was depends on external weather condition and optimal temperature for growing crops at each stage. In addition, maximum heating/cooling loads of reference greenhouse were estimated to 644,014 and $756,456kJ{\cdot}hr^{-1}$, respectively.

키워드

참고문헌

  1. Al-Helal, A.M. and A.M. Abdel-Ghany. 2011. Energy partition and conversion of solar and thermal radiation into sensible and latent heat in a greenhouse under arid conditions. Energy and Buildings 43: 1740-1747. https://doi.org/10.1016/j.enbuild.2011.03.017
  2. Attar, I. and A. Farhat. 2015. Efficiency evaluation of a solar water heating system applied to the greenhouse climate. Solar Energy 119: 212-224. https://doi.org/10.1016/j.solener.2015.06.040
  3. Candy, S., G. Moore and P. Freere. 2012. Design and modeling of a greenhouse for a remote region in Nepal. Procedia Engineering 49: 152-160. https://doi.org/10.1016/j.proeng.2012.10.123
  4. Chen, J., F. Xu, D. Tan, Z. Shen, L. Zhang and Q. Ai. 2015. A control method for agricultural greenhouses heating based on computational fluid dynamics and energy prediction model. Applied Energy 141: 106-118. https://doi.org/10.1016/j.apenergy.2014.12.026
  5. Cho, J.H., D.Y. Kim and J.S. Lee. 2010. Directions for developing green aquaculture using thermal effluent from power plant. Korea Maritime Institute, Busan, Korea (in Korean).
  6. Choudhury, B.J., S.B. Idso and R.J. Reginato. 1987. Analysis of an empirical model for soil heat flux under a growing wheat crop for estimating evaporation by an infrared-temperature based energy balance equation. Agricultural and Forest Meteorology 39: 283-297. https://doi.org/10.1016/0168-1923(87)90021-9
  7. Clothier, B.E., K.L. Clawson, P.J. Pinter, J.R., M.S. Moran, R.J. Reginato and R.D. Jackson. 1986. Estimation of soil heat flux net radiation during the growth of alfalfa. Agricultural and Forest Meteorology 37: 319-329. https://doi.org/10.1016/0168-1923(86)90069-9
  8. Fynn, R.P., A. Al-shooshan, T.H. Short and R.W. McMahon. 1993. Evapotranspiration measurement and modeling for a potted chrysanthemum crop. American Society of Agricultural Engineers 36(6): 1907-1913. https://doi.org/10.13031/2013.28541
  9. Joudi, K.A. and A.A. Farhan. 2015. A dynamic model and an experimental study for the internal air and soil temperatures in an innovative greenhouse. Energy Conversion and Management 91: 76-82. https://doi.org/10.1016/j.enconman.2014.11.052
  10. Lee, H.W., S. Diop and Y.S. Kim. 2011. Variation of the overall heat transfer coefficient of plastic greenhouse covering material. Journal of Bio-Environment Control 20(2): 72-77 (in Korean).
  11. Lee, S.B. 2012. Analysis and validation of dynamic thermal energy for greenhouse with geothermal system using field data. MS. diss., Seoul National University, Seoul, Korea.
  12. Liebethal, C., B. Huwe and T. Foken. 2005. Sensitivity analysis for two ground heat flux calculation approaches. Agricultural and Metorology 132: 253-262. https://doi.org/10.1016/j.agrformet.2005.08.001
  13. Luo, W., H. F. Zwart, J. Dail, X. Wang, C. Stanghellini and C. Bu. 2005. Simulation of greenhouse management in the subtropics, Part I: Model validation and scenario study for the winter season. Biosystems Engineering 90(3): 307-318. https://doi.org/10.1016/j.biosystemseng.2004.11.008
  14. Mashonjowa, E., F. Ronsse, J.R. Milford and J.G. Pieters. 2013. Modelling the thermal performance of a naturally venrilated greenhouse in Zimbabwe using a dynamic greenhouse climate model. Solar Energy 91: 381-393. https://doi.org/10.1016/j.solener.2012.09.010
  15. Ministry of Agriculture, Food and Rural Affairs (MAFRA). 2015a. Greenhouse cultivation present condition and product statistic. Sejong, Korea (in Korean).
  16. Ministry of Agriculture, Food and Rural Affairs (MAFRA). 2015b. Project for improve use efficiency of agricultural energy. Sejong, Korea (in Korean).
  17. Nam, S.W. and H.H. Shin. 2015. Development of a method to estimate the seasonal heating load for plastic greenhouses. Journal of the Korean Society of Agricultural Engineers 57(5): 37-42.
  18. Ntinas, G.K., V.P. Fragos and Ch. Nikita-Martzopoulou. 2014. Thermal analysis of a hybrid solar energy saving system inside a greenhouse. Energy Conversion and Management 81: 428-439. https://doi.org/10.1016/j.enconman.2014.02.058
  19. Santanello J.R., J.A. and M.A. Friedl. 2003. Diurnal covariation in soil heat flux and net radiation. American Meteorological Society 42: 851-862.
  20. Sethi, V.P. 2009. On the selection of shape and orientation of a greenhouse: Thermal modeling and experimental validation. Solar Energy 83: 21-38. https://doi.org/10.1016/j.solener.2008.05.018
  21. Singh, G., P.P. Singh, P.P. Singh Lubana and K.G. Singh. 2006. Formulation and validation of a mathematical model of the microclimate of a greenhouse. Renewable Energy 31: 1541-1560. https://doi.org/10.1016/j.renene.2005.07.011
  22. Stanghellini, C. 1987. Transpiration of greenhouse crops: An aid to climate management. PhD. diss., Wageningen, The Netherlands: IMAG.