Estimation of Surplus Solar Energy in Greenhouse (II)

온실내 잉여 태양에너지 산정(II)

  • Suh, Won-Myung (Dept. of Agricultural Eng., Gyeongsang National Univ.(Institute of Agriculture and Life Science, GNU)) ;
  • Bae, Yong-Han (Graduate school, Gyeongsang National Univ.) ;
  • Ryou, Young-Sun (National Academy of Agricultural Science, RAD) ;
  • Lee, Sung-Hyoun (National Academy of Agricultural Science, RAD) ;
  • Kim, Hyeon-Tae (Dept. of Bio-Industrial Machinery Eng., Gyeongsang National Univ.(Institute of Agriculture and Life Science)) ;
  • Km, Yong-Ju (Dept. of Agricultural Eng., Gyeongsang National Univ.(Institute of Agriculture and Life Science, GNU)) ;
  • Yoon, Yong-Cheol (Dept. of Agricultural Eng., Gyeongsang National Univ.(Institute of Agriculture and Life Science, GNU))
  • 서원명 (경상대학교 지역환경기반공학과(농업생명과학연구원)) ;
  • 배용한 (경상대학교 대학원) ;
  • 유영선 ;
  • 이성현 ;
  • 김현태 (경상대학교 생물산업기계공학과(농업생명과학연구원)) ;
  • 김영주 (경상대학교 지역환경기반공학과(농업생명과학연구원)) ;
  • 윤용철 (경상대학교 지역환경기반공학과(농업생명과학연구원))
  • Received : 2011.04.29
  • Accepted : 2011.06.02
  • Published : 2011.06.30

Abstract

This study is about an analysis of surplus solar energy by important greenhouse type using Typical Meteorological Year (TMY) data which was secured in order to provide basic data for designing an optimum thermal storage system to accumulate surplus solar energy generated in greenhouses during the daytime. The 07-auto-1 and 08-auto-1 types showed similar heat budget tendencies regardless of greenhouse types. In other words, the ratios of surplus solar energy were about 20.0~29.0% regardless of greenhouse type. About 54.0~225.0% and 53.0~218.0% of required heating energy will be able to be supplemented respectively according to the greenhouse types. The 07-mono-1 and 07-mono-3 types also showed similar heat budget tendencies regardless of greenhouse types. In other words, the ratios of surplus solar energy were about 20.0~26.0% and 21.0~27.0% respectively by greenhouse type. About 57.0~211.0% and 62.0~228.0% of required heating energy will be able to be supplemented by greenhouse type. Except for Daegwallyeong and Suwon area, other regions can cover heating energy only by surplus solar energy, according to the study.

본 연구는 주간에 온실 내에서 환기로 인하여 배출되는 잉여 태양에너지를 축열할 적정 축열 시스템 설계의 기초자료를 제공할 목적으로 확보한 표준기상년(TMY; Typical Meteorological Year) 데이터를 이용하여 주요 온실 형태별로 잉여 태양에너지를 분석하였다. 그 연구결과를 요약하면 다음과 같다. 07-자동화-1형 및 08-자동화-1형의 경우, 온실형태에 관계없이 매우 유사한 열수지 경향을 보였다. 즉, 잉여 태양에너지가 차지하는 비율은 온실 형태별로 각각 약 20.0~29.0% 및 20.0~29.0% 정도로 나타났다. 그리고 소요 난방에너지를 온실 형태별로 각각 약 54.0~225.0% 및 53.0~218.0% 정도 보충할 수 있을 것으로 나타났다. 07-단동-1형과 07-단동-3형의 경우도 온실형태에 관계없이 매우 유사한 열수지 경향을 보였다. 즉, 잉여태양에너지가 차지하는 비율은 온실 형태별로 각각 약 20.0~26.0% 및 21.0~27.0% 정도로 나타났다. 그리고 소요 난방에너지를 온실 형태별로 각각 약 57.0~211.0% 및 62.0~228.0% 정도 보충할 수 있는 량이다. 그리고 온실형태에 관계없이 대관령 및 수원지역을 제외하면 나머지 지역은 잉여 태양에너지만으로도 난방에너지를 충당할 수 있음을 알 수 있었다.

Keywords

References

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