국내 온실 난방부하 산정을 위한 난방적산온도의 비교분석 및 공간보간법을 이용한 지역별 제시
Regional Recommendation and Comparative Analysis of Accumulated Temperature for Seasonal Heating Load Calculation in Greenhouses
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Korea's facility horticultural heating costs account for a high proportion. Therefore, it is the most important factor to consider in greenhouse construction. It is important to assess the heating load of greenhouses. But there is not much data from the weather station. This study determined the heating load for each segmented area using the spatial correction method. The heating degeneration calculated from standard weather data (AHDH and BHDH) and total weather data (CHDH and DHDH) is consistent. However, there was a big difference between AHDH and DHDH. Therefore, the updated heating load data for each region is needed. Each of the four types of set temperatures (8℃, 12℃, 16℃, 20℃) was provided, and the heating temperature setpoint (℃) for each region of 168 cities and counties was presented. As a result of the analysis, the reliability of about 99% was confirmed in most of the regions suggested in this study. By using the calculated heating load for each region, it is possible to predict and utilize energy consumption and management costs.
Abstract
Korea's facility horticultural heating costs account for a high proportion. Therefore, it is the most important factor to consider in greenhouse construction. It is important to assess the heating load of greenhouses. But there is not much data from the weather station. This study determined the heating load for each segmented area using the spatial correction method. The heating degeneration calculated from standard weather data (AHDH and BHDH) and total weather data (CHDH and DHDH) is consistent. However, there was a big difference between AHDH and DHDH. Therefore, the updated heating load data for each region is needed. Each of the four types of set temperatures (8℃, 12℃, 16℃, 20℃) was provided, and the heating temperature setpoint (℃) for each region of 168 cities and counties was presented. As a result of the analysis, the reliability of about 99% was confirmed in most of the regions suggested in this study. By using the calculated heating load for each region, it is possible to predict and utilize energy consumption and management costs.
참고문헌 (26)
- 서원명, "태안 시설원예단지의 온실 냉난방 부하 분석", 한국농공학회논문집, 51(6), pp.45~52 (2009), 한국농공학회
- 손진관, "시설원예 배출 배액의 수질환경 평가 및 정화 부하량 산정", 한국환경과학회지, 28(12), pp.1199~1208 (2019), 한국환경과학회[DOI]
- 김영복, "보온단열재의 설치방법에 따른 보온성 효과 분석", 생물환경조절학회지, 18(4), pp.332~340 (2009), (사) 한국생물환경조절학회
- S. K. Hong, "Strategies for Increasing Biomass Energy Utilization in Rural Areas : Focusing on heating for greenhouse cultivation", Journal of the Korean Society of Agricultural Engineers, 57(6), pp.9~20 (2015)
- 정성원, "시설원예용 조합형 다겹보온자재의 보온 특성", 생물환경조절학회지, 18(4), pp.341~347 (2009), (사) 한국생물환경조절학회
- 이국한, "작물재배 환경이 Arbuscular 내생균근 균의상대밀도와 작물체의 인(P) 함량에 미치는 영향", 한국환경과학회지, 21(5), pp.641~646 (2012), 한국환경과학회[DOI]
- Bok-Rye Lee, "Comparative Analysis of Protein Patterns and Fruit Size in Three Asian Pears with Different Fruit Maturity Periods", 원예과학기술지, 39(1), pp.1~9 (2021), 한국원예학회[DOI]
- 윤성욱, "국내 온실 난방부하 산정을 위한 난방적산온도의 비교분석 및 공간보간법을 이용한 지역별 제시", 한국기계기술학회지, 25(6), pp.1203~1216 (2023), 한국기계기술학회[DOI]
- 전종길, "시설원예용 지열 및 태양열 이용 하이브리드 히트펌프 시스템의 난방성능에 관한 연구", 한국태양에너지학회 논문집, 35(5), pp.49~56 (2015), 한국태양에너지학회
- 류연수, "시설원예의 지열냉·난방시스템 경제성 분석", 한국태양에너지학회 논문집, 32(6), pp.60~67 (2012), 한국태양에너지학회
- 남상운, "플라스틱 온실의 기간난방부하 산정 방법 개발", 한국농공학회논문집, 57(5), pp.37~42 (2015), 한국농공학회
- 송지수, "건물에너지 모델의 재실자 요소를 활용한 간편한 확률보정", 한국건축친환경설비학회 논문집, 9(3), pp.253~258 (2015), 한국건축친환경설비학회
- 문진우, "난방시스템 및 개구부의 통합제어를 위한 규칙기반제어법 및 인공신경망기반제어법의 성능비교", KIEAE Journal, 14(3), pp.97~103 (2014), 한국생태환경건축학회[DOI]
- 남상운, "온실의 기간난방부하 산정을 위한 난방적산온도 비교분석", 생물환경조절학회지, 23(3), pp.192~198 (2014), (사) 한국생물환경조절학회
- 이천규, "표준기상 데이터 적용 냉매 직팽식 태양열 히트펌프 성능 분석", 한국태양에너지학회 논문집, 42(4), pp.15~31 (2022), 한국태양에너지학회[DOI]
- J. K. K, "Prediction of PV Capacity Corresponding to Greenhouse Heating and Cooling Loads", ~ (2021)
- 이창현, "하천 합류부에서의 수질계측결과를 활용한 2차원 공간분포 해석", 대한토목학회논문집(국문), 42(3), pp.343~350 (2022), 대한토목학회[DOI]
- 이예지, "역거리 가중 보간(IDW) 기술 기반의 일사량 및 태양광발전량 예측 영향요인 분석: 관측소 거리 및 셀 크기를 중심으로", 한국생활환경학회지, 30(4), pp.384~395 (2023), 한국생활환경학회
- KSES, "Korean Standard Weather Data", The Korean Solar Energy Society, ~ (2013)
- A Study on the weather data with climate change scenarios in relation to building energy performance, "H. C. Yoo", Ministry of Education and Science Technology, 7~16 (2011)
- PHIK, "Climate data", Passive House Institute Korea, ~ (2022)
- S. G. Lee, "Analysis of the Heating Degree Hour for greenhouses", Journal of the Korean Society of Agricultural Engineers, 27(3), pp.85~96 (1985)
- 조성환, "국내 15개 주요지역의 난방도일 재산정에 관한 연구", 설비공학 논문집, 22(7), pp.436~441 (2010), 대한설비공학회
- M. K. Kim, "Design standards for greenhouse environment", Rural Development Corporation, 130~137 (1997)
- SPSS, "ver. 20.0, IBM Corp", ~
- ASABE, "Standard: Heating, ventilating and cooling greenhouses, ANSI", ASAE EP406.4, 2008