• 제목/요약/키워드: 동적열부하 계산

검색결과 13건 처리시간 0.026초

동적열부하계산용 서울의 표준기상데이터 (Standard Weather Data for Seoul)

  • 김두천
    • 대한설비공학회지:설비저널
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    • 제13권4호
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    • pp.254-267
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    • 1984
  • 이 자료는 건물의 연간 에너지소요량의 산정을 위한 동적열부하계산용 전산프로그램의 입력자료인 서울의 평균년 기상데이터로서, 한국과학재단 연구보고서인 "서울지방의 표준기상데이터에 관한 연구"로 부터 발췌한 것이다.

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냉난방부하 계산의 단순화 모델링 기법 적용 타당성 검토에 관한 연구 (A Study on Validity of Applying Simplify modeling Method for Heating/Cooling Load Calculation)

  • 강윤석;박종일;임병찬
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.1386-1391
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    • 2008
  • As the time goes by, the energy use in buildings are increasing threateningly. So, it is important to have an accurate energy load calculation for buildings. The accurate energy simulation program carries numerous input data. So, our purpose of this study is to verify the application of simplify modeling method which eliminates coordinates of building components instead of using full coordinates by using DOE2. After comparing original modeling method with simplify modeling method, we applied PAF for daylighting control in the building to verify the application of daylighting control in simplify modeling method. The results shows that there are little difference between original modeling and simplify modeling. Also it showed that application of daylighting control has little difference between original modeling so it is feasible to adapt simplify modeling. These results reveals that the application of simplify modeling is possible to predict energy load and use of the building.

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지중배전선로의 동적 허용용량 평가기술

  • 이남우
    • 전기의세계
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    • 제42권4호
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    • pp.45-52
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    • 1993
  • 일반적으로 케이블 계통은 최고허용온도 부근에서 상시운전하는 경우는 거의 없다. 즉, 허용전류 계산시에도 충분한 여유가 있는 가정들을 근거로 계산하므로 허용전류 자체에 충분한 여유가 있을 뿐만 아니라 설계단계에서도 향후 부하의 증가를 고려하여 설계하므로 설계용량 부근에서 상시운전하는 경우는 거의 없다. 동태용량 산정기법은 가상부하에 따른 도체 및 유도의 예측, 열특성 파라메타의 변화에 따른 허용전류의 예측이 가능하며 특히 케이블의 과도특성을 이용하여 단시간의 허용전류를 상당히 증대(외국의 경우 정태용랴의 약2배)시킬 수 있는 장점이 있다. 따라서 정태용량 산정에 의한 설계 여유 및 운전중에 조건의 변화에 따른 허용전류의 여유를 예측 할 수 있는 동태용량 산정법은 케이블 부하조정의 융통성 뿐 만 아니라 케이블계통 사고시에도 적절히 대처할 수 있는 많은 융통성을 제공해 주게 된다. 아울러 동태용량 프로그램이 절연체의 수명손시평가법과 함께 해석된다면 케이블계통의 플렉시빌리티와 효율의 비약적인 증가를 가져올 뿐만 아니라 전체 계통의 신뢰도를 증가시킬 수 있는 장점등으로 인해 복잡한 도시에서 새로운 케이블 경과지 확보가 점점 어려워지는 추세에 따라 앞으로 동태용량 프로그램에 관한 연구개발이 활발해질 것으로 예견된다.

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건물에너지 해석을 위한 간이열부하 해석프로그램 개발에 관한 연구 (A Study on Development of Simplified Thermal Load Calculation Program for Building Energy Analysis)

  • 강윤석;엄미은;임병찬;박종일
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.72-77
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    • 2008
  • About 25% of overall energy use of Korea had been spent in buildings. It is crucial to acknowledge the importance of saving energy in buildings. In order to save energy, it is important to predict accurate energy use. There are numerous energy simulation program that predicts both energy load and energy use. The problem of the energy simulation program is that it holds too many input variables, and it needs experts to model a building. So, our purpose of this study is to develop the simplified thermal load calculation program for building energy analysis which eliminates coordinates of building components instead of using full coordinates by using DOE2. Since the engine of the program is DOE2, we verified the validity of S-DOE by comparing peak heating & cooling load results and annual energy use results. The results shows that there are little difference between VisualDOE and S-DOE. Also it showed that S-DOE took less time to input variables than VisualDOE. These results reveals that the application of S-DOE is possible to accurately predict energy load and energy use of the building and still have strong point that it takes less time to analyse building energy.

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온실 표준기상데이터 작성시 일사 및 습도의 영향 (Effect of Humidity and Irradiation on the standard weather data for greenhouse)

  • 박우식;김문기
    • 한국생물환경조절학회:학술대회논문집
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    • 한국생물환경조절학회 1996년도 심포지움 및 학술논문발표요지
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    • pp.89-93
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    • 1996
  • 시설의 냉ㆍ난방시스템 최적 설계를 위해서나 시스템의 연간 에너지 소요량 산정을 위해서는 동적열부하계산을 시행해야 한다. 이를 위해서는 어느 지역의 표준적인 기상상황을 총합적으로 파악해야 하는데 이는 단순히 각 기상자료의 월평균치를 사용하는 것으로는 불충분하며, 중요한 기상요소들을 종합적으로 고려한 인위적인 기상자료를 필요로 한다. (중략)

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TRNSYS 적용을 통한 RTS법의 검증 (Veryfication in RTS method by applying TRNSYS)

  • 최봉수;홍희기;이진섭
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2006년도 하계학술발표대회 논문집
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    • pp.531-535
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    • 2006
  • Lots of programs and methods for calculating the maximum and dynamic thermal load of building have been developed and used practically. In this paper we calculated heat load in RTS method and compared them with result using TRNSYS in the same test space.

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시험공간에 강제환기를 고려한 냉방부하의 실증실험 및 시뮬레이션 (Verification Experiment and Simulation of Cooling Load for a Test Space with Forced Ventilation)

  • 김동혁;유호선;홍희기
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2005년도 동계학술발표대회 논문집
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    • pp.217-222
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    • 2005
  • Building energy consumption according to the ventilation has been considered to be an important subject. The purpose of this study is to investigate the cooling loads in a test space with a forced ventilating system. In the test space, on/off controlled air-conditioning and forced ventilating facility were operated between 8:30 to 21:00 during 4 days and some important data like temperatures and energy consumption were measured to obtain actual cooling loads. The simulation was carried out in a mode of temperature level control using a TRNSYS 15.3 with a precisely measured air change amount and performance data of air-conditioner. Cooling loads including sensible and latent were compared between by experiment and by simulation. Both of cooling loads associated with ventilation show a close agreement within an engineering tolerance.

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남향과 동향 집합주택의 냉방부하에 관한 연구 (A Study on the Cooling Load of South and East Facing Apartment Houses)

  • 박근우;이경희
    • 한국주거학회논문집
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    • 제11권2호
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    • pp.129-137
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    • 2000
  • This study is about the difference of South and East facing Cooling load of Apartment s Houses using Dynamic Heat-flow Calculation. Therefore, the purpose of this study is come in to use Material for the Thermal Environments of Apartment Houses. The results of the analysis are below. (1) For the peak load of degree hour; The highest is "I" unit and the next high load is H, F, E, C, B, G, D and A unit for the south facing Apartment houses. The higher load is "H" unit and the next high load is I, E, F, B, C, G, D, A Unit for the east facing Apartment houses. (2) For the total load of degree day; The highest load is "I" unit and the next high load is H, G, F, E, C, B, D and A Unit for the south facing Apartment houses. The highest load is "H" unit and the next high load is I, G, E, F, B, C, D, A Unit for the east facing Apartment houses. (3) For the total load of degree day; The highest load is "H" Unit for the east facing Apartment houses and the Lowest load is "A" Unit for the south facing Apartment houses.is "A" Unit for the south facing Apartment houses.nt houses.

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옥상녹화시스템의 식재방식에 따른 단열효과의 정량적 분석 (Quantitative Analysis on the Insulating Effect by the Green Roof Planting System)

  • 장희경;조홍제;여인애;윤성환
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.873-876
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    • 2008
  • The purpose of this study was to investigate Green Roof System's thermal performance using dynamic heat load simulation programs related to architectural environment. In results, it is found out that the thermal performance of Green Roof System is stabler than that of roof slab system which means that it is possible to create pleasant indoor environment and save the heating and cooling load.

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간이 에너지 계산법과 동적 열부하 계산법의 비교 연구 (A Comparison of the ASHRAE Simplified Energy Analysis Procedure with the HASP/ACLD Results)

  • 김두천;최진희;원영수
    • 설비공학논문집
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    • 제1권3호
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    • pp.210-218
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    • 1989
  • The ASHRAE Simplified Energy Analysis Procedure using the Modified Bin Method(SEAP) is compared with the hourly calculation program, HASP/ACLD. The HASP/ACLD model office building with VAV system in Seoul is used as the basis for comparison. And the parameters considered are glass to wall area ratio and internal heat gains. The results show that SEAP predictions of annual energy use agree with HASP/ACLD predictions within 5% deviation. But there is a large difference in cooling and heating energy as glass to wall area ratio is varied. The SEAP cooling energy is 65-85% and the heating energy is 104-160% of the HASP/ACLD results. This is probably due to the solar heat gain data. the data related to the SEAP must be developed prior to use it.

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