• 제목/요약/키워드: Prediction of Heating Load

검색결과 43건 처리시간 0.02초

직달일사를 이용한 잠열축열식 바닥난방 시스템이 냉방부하에 미치는 영향에 대한 검토 (Effects of Phase Change Material Floor Heating Systems using Direct Solar Gain on Cooling Load)

  • 김수경
    • 한국태양에너지학회 논문집
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    • 제33권3호
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    • pp.9-16
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    • 2013
  • In this research, the effect of a heating system, which is powered by direct solar energy accumulated in phase change material (PCM) as heat storage material installed on the floor surface, on the cooling load was studied. Cooling load of a test building designed for this research was measured with fan coil unit and factors affecting it were also estimated. Experiments were performed with and without PCM installed on the building floor to understand the effect of the PCM on the cooling load. Additionally, to confirm the experiments results, the prediction calculation formula by average outside temperature and integrated solar radiation was composed using multivariate regression model. The results suggested that the heating system with PCM on the floor surface has the potential to shift electric power peak by radiating heat, stored during the daytime in it, at night, not increasing the total cooling load much.

지열 이용 외기부하 저감시스템의 냉각 및 가열효과 예측 간이추정법에 관한 연구 (A Study on the Simplified Presumption Method for the Prediction of Cooling and Heating Performance in a Fresh Air Load Reduction System by Using Geothermal Energy)

  • 손원득;최영식
    • 한국산업융합학회 논문집
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    • 제13권3호
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    • pp.169-181
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    • 2010
  • This paper presents a feasibility study of a fresh air load reduction system by using an underground double floor space. The fresh air is introduced into the double slab space and passes through the opening bored into the footing beam. The air is cooled by the heat exchange with the inside surface of the double slab space in summer, and heated in winter. This system not only reduces sensible heat load of the fresh air by heat exchange with earth but also reduces latent heat load of the fresh air by ad/de-sorption of underground double slab concrete. In this paper, we proposed a simplified presumption method for the prediction of cooling and heating performance in the system. In conclusion the proposed method has been verified by comparing with the calculated value of the numerical analysis model by using nonlinear two-dimension hygroscopic question.

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지중온도를 이용한 지하공간 벽체의 난방부하 계산에 관한 연구 (A study about caculating the heating load of the wall of underground space to be used undereground temperature)

  • 정수일
    • 한국태양에너지학회 논문집
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    • 제28권1호
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    • pp.19-24
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    • 2008
  • The energy crisis is culminating for the life of the fossil fuel in the future which is come to end at $30{\sim}40$ years. Moreover above 90% of the energy in our country depend on importing and the crisis is more seγious than it of other countries. So architects devote low energy house research and it means underground space research have become public opinion. But there is not an accurate and utility method calculating the heating load of underground space. In this study it is proposed that the heating load is calculated by setting adiabatic thichness of soil and predicting underground temperature. The prediction of the underground temperature is calculated by the latitude, the level, the distance from sea, the condition of earth surface.

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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창호 구성 요소에 따른 난방에너지 절감율 예측에 관한 연구-공동주택을 중심으로 (Prediction of Heating Energy Saving Rate on the Window Type-Focus on the Apartment House)

  • 김경아;문현준;유기형
    • 한국태양에너지학회 논문집
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    • 제33권6호
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    • pp.54-61
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    • 2013
  • This is study on the glazing performance of the apartment house to predict energy saving rate when the early design stage by calculating heating load. there are various factors of the window type in apartment building to save energy such as window's U-value, SC or SHGC, window wall ration, frame factor, sunshade coefficient and so on. In this study, we analyzed the heating load focused on the U-value, SC and window wall ration using variable heating degree days method for a small and middle size units $59m^2$, $84m^2$, respectively. Each cases were calculated heating load of the real models compared to standard model to predict energy saving rate. From those cases it was drew the conclusion that were window's U-value, SC and window wall ration for the small and middle size units to expect 10% energy saving rate at least.

인공신경망 기반 온실 외부 온도 예측을 통한 난방부하 추정 (Outside Temperature Prediction Based on Artificial Neural Network for Estimating the Heating Load in Greenhouse)

  • 김상엽;박경섭;류근호
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제7권4호
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    • pp.129-134
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    • 2018
  • 최근, 인공신경망 모델은 예측, 수치제어, 로봇제어, 패턴인식 등의 분야에서 촉망되는 기술이다. 본 연구에서는 인공신경망 모델을 이용하여 온실 외부 온도를 예측하고 이를 온실제어에 활용하는데 목적이 있다. 예측 모델의 성능 평가를 위해 다중회귀모델과 SVM 모델과의 비교분석을 수행하였다. 평가 방법으로는 10-Fold Cross Validation을 사용하였으며, 예측 성능 향상을 위해 상관관계분석 통해 데이터 축소를 수행하였고, 측정 데이터로부터 새로운 Factor 추출하여 데이터의 신뢰성을 확보하였다. 인공신경망 구축을 위해 Backpropagation algorithm을 사용하였으며, 다중회귀모델은 M5 method로 구축하였고, SVM 모델을 epsilon-SVM으로 구축하였다. 각 모델의 비교분석 결과 각각 0.9256, 1.8503과 7.5521로 나타났다. 또한 예측모델을 온실 난방부하 계산에 적용함으로써 온실에 사용되는 에너지 비용 절감을 통한 수입증대에 기여할 수 있다. 실험한 온실의 난방부하는 3326.4kcal/h이며, 총 난방시간이 $10000^{\circ}C/h$일 때 연료소비량은 453.8L로 예측된다. 아울러 데이터 마이닝 기술 중 하나인 인공신경망을 정밀온실제어, 재배기법, 수확예측 등 다양한 농업 분야에 적용함으로써 스마트 농업으로의 발전에 기여할 수 있다.

지역난방 2차측 공급수 온도 제어방안(설정온도 제어, 외기온 보상제어, 외기온 예측제어)에 따른 에너지사용량 실증 비교 (Actual Energy Consumption Analysis on Temperature Control Strategies (Set-point Control, Outdoor Temperature Reset Control and Outdoor Temperature Predictive Control) of Secondary Side Hot Water of District Heating System)

  • 조성환;홍성기;이상준
    • 설비공학논문집
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    • 제27권3호
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    • pp.137-145
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    • 2015
  • In this study, the actual energy consumption of the secondary side of District Heating System (DHS) with different hot water supply temperature control methods are compared. Three methods are Set-point Control, Outdoor Temperature Reset Control and Outdoor Temperature Prediction Control. While Outdoor Temperature Reset Control has been widely used for energy savings of the secondary side of the system, the results show that Outdoor Temperature Prediction Control method saves more energy. In general, Outdoor Temperature Prediction Control method lowers the supply temperature of hot water, and it reduces standby losses and increases overall heat transfer value of heated spaces due to more flow into the space. During actual energy consumption monitoring, Outdoor Temperature Prediction Control method saves about 7.1% in comparison to Outdoor Temperature Reset Control method and about 15.7% in comparison to Set-point Control method. Also, it is found that at when partial load condition, such as daytime, the fluctuation of hot water supply temperature with Set-point Control is more severe than Outdoor Temperature Prediction Control. Therefore, it proves that Outdoor Temperature Prediction Control is more stable even at the partial load conditions.

BES 프로그램을 이용한 국내 대표적 대형온실의 에너지 부하 예측 (Prediction of Greenhouse Energy Loads using Building Energy Simulation (BES))

  • 이성복;이인복;홍세운;서일환;;권경석;하태환;한창평
    • 한국농공학회논문집
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    • 제54권3호
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    • pp.113-124
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    • 2012
  • Reliable estimation of energy load inside the greenhouse and the selection of cooling and heating facilities are very important preceding factors to save energy as well as initial and maintenance costs of operating a greenhouse. Recently, building energy simulation (BES) technique to simulate a model similar to the actual conditions through a variety of dynamic simulation methods, and predict and analyze the flow of energy is being actively introduced and developed. As a fundamental research to apply the BES technique which is mainly used for analysis of general buildings, to greenhouse, this research designed four types of naturally-ventilated greenhouses using one of commercial programs, TRNSYS, and then compared and analyzed their energy load properties, by applying meteorological data collected from six regions in Korea. When comparing the greenhouse load of each region depending on latitude and topographical characteristics through simulation, Chuncheon had nearly 9~49 % higher heating load per year than other regions, but its annual cooling load was the reverse to it. Except for Jeju, 1-2W type greenhouses in five regions showed about 17 % higher heating load than a widespan type greenhouse, and 1-2W type greenhouses in Chuncheon, Suwon, Cheongju, Daegu, Cheonju and Jeju had 23 %, 20 %, 17 %, 16 %, 18 % and 20 % higher cooling load respectively than a wide span-type one. Glasshouse and vinyl greenhouse showed 8~11 % and 10~12 % differences respectively in heating load, while 2~10 % and 7~10 % differences in cooling load respectively.

지열을 이용한 외기부하저감시스템의 냉각 및 가열효과 예측을 위한 간이추정법에 관한 연구 (A Study on the Simplified Presumption Method for the Prediction of Cooling and Heating Performance in a Fresh Air Load Reduction System by Using Geothermal Energy)

  • 손원득;박경순
    • 설비공학논문집
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    • 제22권9호
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    • pp.628-634
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    • 2010
  • This paper presents a feasibility study of a fresh air load reduction system by using an underground double floor space. The fresh air is introduced into the double slab space and passes through the opening bored into the footing beam. The air is cooled by the heat exchange with the inside surface of the double slab space in summer, and heated in winter. This system not only reduces sensible heat load of the fresh air by heat exchange with earth but also reduces latent heat load of the fresh air by ad/de-sorption of underground double slab concrete. In this paper, we proposed a simplified presumption method for the prediction of cooling and heating performance in the system. In conclusion the proposed method has been verified by comparing with the calculated value of the numerical analysis model by using nonlinear two-dimension hygroscopic question.

지역난방 공동주택에서 급탕 2단 열교환기 용량의 적정성 평가에 관한 연구 (A Study on the Design Capacity of 2-stage Hot Water Heat Exchanger in Apartment Housings with District Heating System)

  • 사기용;정광섭;김영일;나채문;김성민;김상호
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2009년도 하계학술발표대회 논문집
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    • pp.1037-1042
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    • 2009
  • In connection with a recent research project dealing with heating system in apartment buildings by district heating, it was realised that in general very little information on the actual performance of heating and hot water systems in apartment buildings has been documented. In order to improve of district heating systems, a prediction of the heat demand first needs to be determined before a production plan. this is hot water heat system developed in this paper. this is also analyzed relation heat load with preheat load in hot water heating exchanger system.

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