DOI QR코드

DOI QR Code

Estimation on Heating and Cooling Loads for a Multi-Span Greenhouse and Performance Analysis of PV System using Building Energy Simulation

BES를 이용한 연동형 온실의 냉·난방 부하 산정 및 PV 시스템 발전 성능 분석

  • Lee, Minhyung (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) ;
  • 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) ;
  • Park, Gwanyong (Department of Rural Systems Engineering, Seoul National University) ;
  • Kim, Jun-Gyu (Department of Rural Systems Engineering, Seoul National University)
  • 이민형 (서울대학교 지역시스템공학전공) ;
  • 이인복 (서울대학교 지역시스템공학전공) ;
  • 하태환 (서울대학교 지역시스템공학전공) ;
  • 김락우 (서울대학교 지역시스템공학전공) ;
  • 여욱현 (서울대학교 지역시스템공학전공) ;
  • 이상연 (서울대학교 지역시스템공학전공) ;
  • 박관용 (서울대학교 지역시스템공학전공) ;
  • 김준규 (서울대학교 지역시스템공학전공)
  • Received : 2017.09.05
  • Accepted : 2017.10.11
  • Published : 2017.10.31

Abstract

The price competitiveness of photovoltaic system (PV system) has risen recently due to the growth of industries, however, it is rarely applied to the greenhouse compared to other renewable energy. In order to evaluate the application of PV system in the greenhouse, power generation and optimal installation area of PV panels should be analyzed. For this purpose, the prediction of the heating and cooling loads of the greenhouse is necessary at first. Therefore, periodic and maximum energy loads of a multi-span greenhouse were estimated using Building Energy Simulation(BES) and optimal installation area of PV panels was derived in this study. 5 parameter equivalent circuit model was applied to analyzed power generation of PV system under different installation angle and the optimal installation condition of the PV system was derived. As a result of the energy simulation, the average cooling load and heating load of the greenhouse were 627,516MJ and 1,652,050MJ respectively when the ventilation rate was $60AE{\cdot}hr^{-1}$. The highest electric power production of the PV system was generated when the installation angle was set to $30^{\circ}$. Also, adjustable PV system produced about 6% more electric power than the fixed PV system. Optimal installation area of the PV panels was derived with consideration of the estimated energy loads. As a result, optimal installation area of PV panels for fixed PV system and adjustable PV system were $521m^2$ and $494m^2$ respectively.

Keywords

References

  1. Celik, A.N. and N. Acikgoz. 2007. Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models. Applied Energy 84:1-15. https://doi.org/10.1016/j.apenergy.2006.04.007
  2. Cho, K.J. 2015. Survey of ICT Apply to Plastic Greenhouse, Rack.Pinion Adaption to Single Span and CFD Analysis. Protected Horticulture and Plant Factory 24(4):308-316 (in Korean). https://doi.org/10.12791/KSBEC.2015.24.4.308
  3. Choi, D.J. 2009. Comparison Researches for Installation of the Module Angles and Array Spacing on Photovoltaic Power System. Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 23(1):162-168 (in Korean). https://doi.org/10.5207/JIEIE.2009.23.1.162
  4. De Soto, W., S.A. Klein and W.A. Beckman. 2006. Improvement and validation of a model for photovoltaic array performance. Solar Energy 80:78-88. https://doi.org/10.1016/j.solener.2005.06.010
  5. Duffie, J.A. and W.A. Beckman. 1991. Solar Engineering of Thermal Processes, second ed. John Wiley & Sons Inc., New York.
  6. Ha. T.H., I.B. Lee, K.S. Kwon and S.W. Hong. 2015. Computation and field experiment validation of greenhouse energy load using building energy simulation model. International Journal of Agricultural and Biological Engineering 8(6):116-127. https://doi.org/10.15740/HAS/IJAE/8.1/116-120
  7. Kang, S.H., Y.H. Lee, J.H. Hwang and Y.H. Cho. 2012. The analysis of the renewable energy supply ratio for the school building applied PV system. Journal of the Korean Solar energy Society 32(2):50-57 (in Korean). https://doi.org/10.7836/kses.2012.32.2.050
  8. Kim, D.S., U.C. Shin and J.H. Yoon. 2014. Annual energy yield prediction of building added PV system depending on the Installation angle and the location in Korea. The International Journal of The Korea Institute of Ecological Architecture and Environment 14(1):67-74 (in Korean).
  9. Ministry of Agriculture, Food and Rural Affairs (MAFRA). 2016. Greenhouse cultivation present condition and product statistic. Sejong, Korea (in Korean).
  10. Ministry of Trade, Industry and Energy (MOTIE). 2016. New & renewable energy whithe Paper. Sejong, Korea (in Korean).
  11. Ministry of Trade, Industry and Energy (MOTIE). 2017. Enforcement Decree of the Development, Uses and Promotion of New Energy and Renewable Energy Act (in Korean).
  12. 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.
  13. Lee, S.B., I.B. Lee, S.W. Hong, I.H. Seo, B.P. Jessie, K.S. Kwon, T.H. Ha and C.P. Han. 2012. Prediction of Greenhouse Energy Loads using Building Energy Simulation (BES). Journal of the Korean Society of Agricultural Engineers 54(3):113-124 (in Korean). https://doi.org/10.5389/KSAE.2012.54.3.113
  14. Lee, S.N., S.J. Park, I.B. Lee, T.H. Ha, K.S. Kwon, R.W. Kim, U.H. Yeo and S.Y. Lee. 2016. 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. Protected Horticulture and Plant Factory 25(2):123-132 (in Korean). https://doi.org/10.12791/KSBEC.2016.25.2.123
  15. Park, S.H. and J.H. Seo. 2012. A Study on the Photovoltaic Module Layout Considering the Azimuth and Inclination in Region. Korean Journal of Air-Conditioning and Refrigeration Engineering 24(6):461-466 (in Korean). https://doi.org/10.6110/KJACR.2012.24.6.461
  16. Quesada, B., C. Sanchez, J. Canada, R. Royo and J. Paya. 2011. Experimental results and simulation with TRNSYS of a 7.2 kWp grid-connected photovoltaic system. Applied Energy 88:1772-1783. https://doi.org/10.1016/j.apenergy.2010.12.011
  17. Rural Development Adminstration (RDA). 2017. Guidelines for environmental management of smart greenhouses. Suwon, Korea (in Korean).
  18. Song, S.Y., B.K. Koo and B.I. Lee. 2009. Analysis of annual heating load reduction effect for thermal bridge-free externally insulated apartment buildings using the steady-state method. Architectural Institute of Korea 25(8):365-372 (in Korean).
  19. Yu, M.G., Y.J. Nam and K.H. Lee. 2015. Design method of heat storage type ground source heat pump system considering energy load pattern of greenhouse. The International Journal of The Korea Institute of Ecological Architecture and Environment 15(3):57-63 (in Korean).