• 제목/요약/키워드: Annual Load

검색결과 320건 처리시간 0.026초

지역난방 사용자 구성비에 따른 열소비 패턴 분석 (Heat Consumption Pattern Analysis by the Component Ratio of District Heating Users)

  • 이훈;이민경;김래현
    • 에너지공학
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    • 제22권2호
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    • pp.211-225
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    • 2013
  • 본 연구에서는 서로 다른 위도의 도시 유형별로 주택과 건물 구성비를 가진 3지역을 선정하여 대상 지역별로 2008년 1년간(1.1~12.31)의 실제 운전실적을 이용하여 지역난방 사용자의 일일 및 연간 열소비 패턴을 분석하고, 지역별 상호 차이점을 파악하기 위하여 주택과 건물의 열소비 패턴을 비교 분석하였다. 특히 본 연구에서는 실제 주택 및 건물 지역난방 사용자가 사용한 열소비 패턴을 매시간대별로 파악하고, 연결 열부하(난방면적 ${\times}$ 단위열부하 : 시설용량과 지역난방 배관망의 설계기준이 되는 열부하로 난방면적에 용도별 단위열부하를 곱하여 산출[Gcal/h])와의 관계를 분석하여 일일, 연간 및 최대 부하율 결과값을 도출함으로써 주택 및 건물 지역난방 사용자 비율에 따른 최적의 열원시설 용량산정이 가능케 하고 수요개발(해당 시설용량으로 열공급이 가능한 지역난방 사용자의 범위로 각 사용자기계실의 연결열부하 합과 같음.)단계에서의 정확한 방향을 제시할 수 있는 근거를 도출하였다.

코어 위치와 종횡비 및 방위에 따른 건물 에너지 부하 분석 (An Analysis on Building Energy Load along Core Position, Area Ratio and Orientation)

  • 김진호;박우평;신승호;민준기;김동훈
    • 한국지열·수열에너지학회논문집
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    • 제9권1호
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    • pp.15-19
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    • 2013
  • In this Study, effect of core position, area ratio and orientation of building on energy load is examined using TRNSYS17. This parameters are major parameters of the conceptual design stage. Reference model is square floor plan($1,444m^2$), centered core and 29% core area ratio. As the results, without considering the building orientation, the annual heating load of central building with 1:1 area ratio is lowest ($10.33kWh/m^2yr$) and the annual cooling load of off-central building with 1:1 area ratio is lowest ($59.27kWh/m^2yr$). As area ratio is bigger, cooling load is lower and heating load is higher. But if we consider building orientation, orders of heating load and cooling load are changed for area ratio and orientation.

우리나라 공공하수처리시설 및 가축분뇨공공 처리시설의 인(P) 유입부하량에 대한 총량평가 (Total assessment for phosphorus input load of public wastewater and livestock manure treatment facilities in Korea)

  • 김원재
    • 상하수도학회지
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    • 제32권4호
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    • pp.325-335
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    • 2018
  • The annual total phosphorus load caused by public wastewater, nightsoil and livestock manure treatment facilities in Korea has been examined macroscopically. Annual domestic average phosphorus (P) inflows through the income of phosphate rock for the last five years (2012 - 2016) were analyzed as 76,598 tons/year. As of the year 2015, the total loadings of phosphorus attributed to public wastewater treatment facilities, nightsoil treatment facilities and livestock wastewater were estimated as 30,269 tons/year, 1,909 tons/year and 18,138 tons/year, respectively. Considering the amount of phosphorus imports, the annual phosphorus load from wastewater, livestock wastewater and excretions is equivalent to 39.5%, 23.7%, 2.5% and totally 65.7%(39.5% + 23.7% + 2.5%). Therefore, the introduction of phosphorus recovery and recycling processes for the public wastewater and livestock manure treatment facilities has been found to be effective because it could reduce the import amount of phosphate rock by up to 60% or more.

전기구동 히트펌프(EHP)와 가스엔진구동 히트펌프(GHP)의 에너지소비량 및 환경부하 분석 (Analysis of Energy Consumption & Environmental Load of Electric Heat Pump and Gas Engine Driven Heat Pump)

  • 김상훈;임상채;정광섭;김영일
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2006년도 하계학술발표대회 논문집
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    • pp.933-937
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    • 2006
  • Energy is motive power that makes convenient society. But, our country's energy is depending on most import. Also, energy and environmental issue are important problem in community of nations. The purpose of this study is to analysis the energy consumption and environmental load of EHP and GHP in Medium and small-scaled office building. The annual energy consumption used to cooling and heating by EHP was 10 percent more than GHP. And annual energy cost of EHP was 33 percent more expensive than GHP. But, Compared to the annual $CO_2$ emission, EHP was 6 percent less than GHP. Therefore, equipment selection should be consider environmental load as well as energy consumption and cost.

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주단위 정규화를 통하여 계절별 부하특성을 고려한 연간 전력수요예측 (Annual Yearly Load Forecasting by Using Seasonal Load Characteristics With Considering Weekly Normalization)

  • 차준민;윤경하;구본희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.199-200
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    • 2011
  • Load forecasting is very important for power system analysis and planning. This paper suggests yearly load forecasting of considering weekly normalization and seasonal load characteristics. Each weekly peak load is normalized and the average value is calculated. The new hourly peak load is seasonally collected. This method was used for yearly load forecasting. The results of the actual data and forecast data were calculated error rate by comparing.

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도심 오피스건물의 옥상녹화 조성 유형별 건물에너지 절감 비교 연구 (Comparative of Energy-Saving by Green Roof Type on Urban Office Building)

  • 김정호;권기욱;주창훈;윤용한
    • 한국환경과학회지
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    • 제23권8호
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    • pp.1437-1446
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    • 2014
  • This study, the urban energy used office building green roof type composition of the target by analyze building energy reductions. Green roof is total 6 types(type A~F) were selected, EnergyPlus the energy simulation programs were used. Top floor of green roof types evaluation, the reduction of the cooling peak load type E(1.26%), type D(1.30%), type C(1.37%), type B(1.45%), type F(1.49%), and heating peak load is type D(1.32%), type E(1.40%), type C(1.47%), type F(1.69%), type B(2.13%) order. Annual cooling load of heating load is reduced more than about 1% effect. The heating load reduction ratio for a maximum of 9% respectively. Cooling peak load of the building energy performance evaluation of type F > type B > type C > type D > type E in the order and in the case of peak loads heating type B > type F > type D > type E>type C order. Annual total energy use reduction of 1.07 to 1.22% and earn, type B in the best good. In primary energy use reductions in the presence of a green roof were in the 4249~4876 kWh/yr. Annual $CO_2$ emissions reductions of unapplied type A were analyzed on average 469.78 kg.

통계적 방법에 의한 건물 부하 산정 (Building Energy Load Estimation by a Statistical Method)

  • 정모;박화춘;임용훈
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2008년도 춘계학술발표대회 논문집
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    • pp.342-347
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    • 2008
  • A Microsoft $Access^{(R)}$ application that estimates hourly building energy load is developed based on statistical field measurements. Hourly patterns of heating, hot water, cooling, and electricity loads are evaluated for an energy consuming community composed of various types of buildings. Popular building types such as apartments, offices, hotels and accomodations, stores, churches, schools and educational institutes are included in the model. For each type of buildings, hourly patterns for a month are measured and compiled to derive a 24-hour load distributions. Daily sum of heating, hot water, cooling, and electricity loads are also measured for the building types. The annual energy need profiles are generated by combining the 24-hour distribution and 365-day consumption patterns. The annual maximum values of the 8760 hours of a year for each load type serves as a guide for selecting a device capacity. A user-friendly interface that ushers users throughout the whole process is provided.

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사무소건물의 가동식 수평차양에 대한 연구 (A Study on Design of Movable Horizontal Shading Device for Office Building)

  • 김미현;서승직
    • 한국태양에너지학회 논문집
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    • 제28권2호
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    • pp.50-57
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    • 2008
  • This study intends to evaluate the effect on indoor environment(annual thermal load, sunshine)by the application of the movable horizontal shading device on summer and winter season. For these purpose, we supposed the models which are composed of the several horizontal shading devices. Then we analyzed the simulation using the IES5.5.1 and Seoul weather data. The results of this study are as follows: 1) The proper length, angle of horizontal shading device is 2.1m, 28 degree, respectively. 2) The decreasing rate of the annual load of the Movable Horizontal Shading Model(MHSM) in comparison with the No Shading Model(NSM) & Conventional Horizontal Shading Model(CHSM) is 31.11%, 6.63% respectively. 3) The decrease of sunshine of the MHSM on summer season is effective the alleviation of visual displeasure. On the other hand, the increase of sunshine of the MHSM on winter season is effective the psychological comfort. Further study is to be required the sensitivity analysis on the various shading length for the realistic proper shading length.

SWMM을 이용한 황구지천유역의 비점원오염부하량 평가 (Estimation of Nonpoint Pollutant Loads in the Hwanggujichoen Basin using SWMM)

  • 조재현;조남홍
    • 환경영향평가
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    • 제12권5호
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    • pp.349-358
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    • 2003
  • Water pollution of Hwanggujicheon stream is severe because urban area of Suwon City is included in the basin. A countermeasure for water quality prevention of the stream is necessary. In this study, nonpoint pollutant load of BOD, SS, TN and TP are estimated using SWMM. The result indicates that BOD, SS, TN and TP loads during 3 months from July to September are 67.0%, 60.8%, 54.7% and 74.5% of the annual total load, respectively. We can see that most of nonpoint pollutant loads are generated in the rainy season. Annual nonpoint pollutant loads of BOD, SS, TN and TP in the Hwanggujicheon stream are 342 ton, 1,500 ton, 480 ton and 12.6 ton, respectively.

우리나라의 기후 변화 영향에 의한 건물 냉난방에너지 수요량 변화의 예측 (Prediction on Variation of Building Heating and Cooling Energy Demand According to the Climate Change Impacts in Korea)

  • 김지혜;김의종;서승직
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2006년도 하계학술발표대회 논문집
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    • pp.789-794
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    • 2006
  • The potential impacts of climate change on heating and cooling energy demand were investigated by means of transient building energy simulations and hourly weather data scenarios for Inchon. Future trends for the 21 st century was assessed based oil climate change scenarios with 7 global climate models(GCMs), We constructed hourly weather data from monthly temperatures and total incident solar radiation ($W/m^2$) and then simulated heating and cooling load by Trnsys 16 for Inchon. For 2004-2080, the selected scenarios made by IPCC foresaw a $3.7-5.8^{\circ}C$rise in mean annual air temperature. In 2004-2080, the annual cooling load for a apartment with internal heat gains increased by 75-165% while the heating load fell by 52-71%. Our analysis showed widely varying shifts in future energy demand depending on the season. Heating costs will significantly decrease whereas more expensive electrical energy will be needed of air conditioning during the summer.

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