본문 바로가기
KERD
논문KCI 등재

탑상형 아파트의 배치방향별 봄철 실내온도 비교평가

Comparative Evaluation of Indoor Temperature in Spring according to Sitting Orientation of Tower-Type Apartments

2

조회

0

다운로드

2

인용

0

참고문헌

키워드

주제분류환경공학

초록

It is usual for energy consumption in accordance with facing and sitting direction of towertype apartments to be calculated by the official statistics or computer simulation. Previous studies for energy consumption appear to be very limited due to the dependence on flat type of apartment. Acknowledging these constraints, an empirical study for a tower type apartment was conducted to demonstrate how a on-site indoor temperature measurement in spring can be used to assist in estimating the total energy consumption in terms of facing and sitting orientation specific settings. The results indicate that maximum temperature difference in spring was identified as 1.16℃ between south and eastern direction. It is known that raising 1℃indoor temperature require 7% more energy consumption than normal. The 1.16℃ difference means that sitting direction of tower type apartment is a crucial explanatory variable as unit of analysis for energy consumption. It was demonstrated that the indoor temperature could be used effectively as an indicator to estimate energy consumption among various sitting direction of tower type apartments. It is anticipated that this research output could be used as a valuable reference to support more scientific and objective decision-making for facing and sitting orientation of tower type apartments.

Abstract

It is usual for energy consumption in accordance with facing and sitting direction of towertype apartments to be calculated by the official statistics or computer simulation. Previous studies for energy consumption appear to be very limited due to the dependence on flat type of apartment. Acknowledging these constraints, an empirical study for a tower type apartment was conducted to demonstrate how a on-site indoor temperature measurement in spring can be used to assist in estimating the total energy consumption in terms of facing and sitting orientation specific settings. The results indicate that maximum temperature difference in spring was identified as 1.16℃ between south and eastern direction. It is known that raising 1℃indoor temperature require 7% more energy consumption than normal. The 1.16℃ difference means that sitting direction of tower type apartment is a crucial explanatory variable as unit of analysis for energy consumption. It was demonstrated that the indoor temperature could be used effectively as an indicator to estimate energy consumption among various sitting direction of tower type apartments. It is anticipated that this research output could be used as a valuable reference to support more scientific and objective decision-making for facing and sitting orientation of tower type apartments.

참고문헌 (21)

  1. "기상청"[URL]
  2. 김지혜, "기후 온난화의 영향에 의한 건물의 냉?난방에너지 수요량 예측", 한국태양에너지학회 논문집, 26(3), pp.119~126 (2006), 한국태양에너지학회
  3. 김진관, "판상형 아파트와 탑상형 아파트의 도시가스 소비 특성에 관한 비교 연구", 주거환경, 7(2), pp.55~65 (2009), 한국주거환경학회
  4. "조금만 발품 팔면 탄소발자국 줄어요"[URL]
  5. "탑상형(타워형) 설계의 장단점"[URL]
  6. 홍희기, "한국형 아파트의 난방에너지 분석 1: 위치의 영향", 설비공학 논문집, 16(1), pp.101~110 (2004), 대한설비공학회
  7. 장현재, "여름철 열대야 발생시 탑상형 아파트의 실내온열환경에 대한 연구", 설비공학 논문집, 22(1), pp.20~25 (2010), 대한설비공학회
  8. 조민관, "판상형과 탑상형 아파트 수직벽면의 태양에너지 가용량분석", 대한건축학회논문집 계획계, 24(12), pp.337~344 (2008), 대한건축학회
  9. 지식경제부, "에너지이용 합리화법" (2009), 대한민국
  10. 지식경제부, "건물냉방온도 제한에 관한 규정" (2010), 대한민국
  11. 건물의 에너지원단위기준(안)연구, "홍성희", 한국에너지기술연구원, ~ (2001)
  12. 홍성희, "공동주택의 에너지소비원단위 설정연구", 대한건축학회 논문집, 17(12), pp.151~160 (2001)
  13. 황혜영, "탑상형 아파트 일조환경 분석", 대한건축학회논문집 계획계, 22(1), pp.219~226 (2006), 대한건축학회
  14. Afshari,A., "Deposition of fine and ultrafine particles on indoor surface materials", Journal of Indoor and Built Environment, 17(3), pp.247~251 (2008)
  15. Bohm,B., "Monitoring the energy consumption in a district heated apartment building in Copenhagen,with specific interest in the thermodynamic performance", Energy and buildings, 36(3), pp.229~236 (2004)
  16. Heiple, S, "Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles", Energy and buildings, 40(8), pp.1426~1436 (2008)
  17. Neto,A.H., "Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption", Energy and buildings, 40(12), pp.2169~2176 (2008)
  18. Korean National Statistical Office, "The census of population and residence" (2000)
  19. Paulo, F, "Energy efficient building design using sensitivity analysis-A case study", Energy and Buildings, 39(1), pp.23~31 (2007)
  20. WDCGG (World Data Centre for Greenhouse Gases), "WMO WDCGG data catalogue - GAW data", ~ (1999)
  21. Wise, M., "Implications of Limiting CO2 Concentrations on Land Use and Energy", Science, 324(5931), pp.1183~1186 (2009)

관련 논문AI추천

이 간행물의 다른 논문 (13건)