http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
유성연(Seong-Yeon Yoo),한승호(Seung-Ho Han),이제묘(Je-Myo Lee),한규현(Kyou-Hyun Han),노관종(Kwan-Jong Noh) 대한설비공학회 2006 대한설비공학회 학술발표대회논문집 Vol.2006 No.6
The peak demand of electricity in summer season mainly comes from the day time cooling loads. Ice thermal Storage System (ITSS) uses off-peak electricity at night time to make ice for the day time cooling. In order to maximize the use of cold storage in ITSS, the estimation of day time cooling load for the building is necessary. In this study, we present a method of cooling load estimation using 5 years of normalized outdoor temperature, relative humidity, and the building construction data. We applied the hourly-based estimation to a general hospital building with relatively less sudden heat exchange and the results are compared with the measured cooling load of the building. The results show that the cooling loads estimation depends on the indoor cooling design temperature of the building.
유성연(Seong-Yeon Yoo),김태호(Tae-Ho Kim),한규현(Kyou-Hyun Han),김경호(Kyung-Ho Kim) 대한설비공학회 2011 대한설비공학회 학술발표대회논문집 Vol.2011 No.7
New methodology for the prediction of temperature and humidity is proposed, which are necessary for estimating cooling/heating load. Only maximum and minimum temperatures of the next day are required to predict the temperature and humidity, which are forecasted at the meteorological administration. The prediction correlations are derived from the weather data for five years, and predicted temperature and humidity show good agreement with the measured data.
공동주택의 최적 열공급을 위한 난방부하 예측에 관한 연구
김태호(Tae-Ho Kim),유성연(Seong-Yeon Yoo),한규현(Kyou-Hyun Han),윤홍익(Hong-Ik Yoon),강형철(Cheol-Hyeong Kang),김경호(Kyung-Ho Kim) 대한기계학회 2011 대한기계학회 춘추학술대회 Vol.2011 No.10
Prediction of heating load is necessary in order to determine the optimal scheduling control of district heating systems. Heating loads in apartment building are affected by many complex parameters, so it is necessary to develop high efficient, flexible, easy to use method of prediction of heating load. In this paper, parameters obtained from simple conditions included in apartment building specifications and the estimated temperature and humidity are used to predict the hourly heating load of the next day, and water load are predicted by comparing summer load with winter load. In order to validate the performance of the proposed method, heating load data measured form benchmarking district heating system are compared with the predicted results. As comparing predicted heating loads with measured data, monthly load error had a range from 0.06% to 18%, and in heating period, mean error was 4.68%
공동주택의 최적 열공급을 위한 난방부하 예측에 관한 연구
유성연(Seong-Yeon Yoo),김태호(Tae-Ho Kim),한규현(Kyou-Hyun Han),윤홍익(Hong-Ik Yoon),강형철(Hyung-Chul Kang),김경호(Kyung-Ho Kim) 대한기계학회 2012 大韓機械學會論文集B Vol.36 No.8
지역난방 시스템의 최적 스케쥴 제어를 위해서는 난방부하 예측이 필요하다. 공동주택의 난방부하는 복잡한 변수들의 영향을 받기 때문에 손쉬운 난방부하 예측을 위해 사용하기 쉬우며 효용성 있는 예측방법의 개발이 필요하다. 본 연구에서는 익일의 시간별 난방부하를 예측하기 위해 단순화된 외기조건 예측방법과 부하 예측방법을 제안하였다. 난방부하 예측을 위해 건물설계서에서 쉽게 얻을 수 있는 간단한 사양과 예측된 온습도가 사용되었다. 제안된 방법의 타당성을 검증하기 위해 지역난방 시스템으로부터 시간별로 실측된 난방부하와 예측된 결과를 비교하였다. 예측된 외기조건은 실측된 값과 비교하여 변화양상이 잘 일치하였다. 예측된 난방부하와 측정된 난방부하를 비교한 결과, 시간별, 일별, 월별 모두 예측과 실측이 비교적 잘 일치하였으며, 난방기간 동안 월별 부하의 평균 오차는 약 4.68%로 비교적 작은 값을 가졌다. It is necessary to predict the heating load in order to determine the optimal scheduling control of district heating systems. Heating loads are affected by many complex parameters, and therefore, it is necessary to develop an efficient, flexible, and easy to use prediction method for the heating load. In this study, simple specifications included in a building design document and the estimated temperature and humidity are used to predict the heating load on the next day. To validate the performance of the proposed method, heating load data measured from a benchmark district heating system are compared with the predicted results. The predicted outdoor temperature and humidity show a variation trend that agrees with the measured data. The predicted heating loads show good agreement with the measured hourly, daily, and monthly loads. During the heating period, the monthly load error was estimated to be 4.68%.
유성연(Seong-Yeon Yoo),이제묘(Je-Myo Lee),김영진(Young-Jin Kim),한승호(Seung-Ho Han),한규현(Kyou-Hyun Han) 대한설비공학회 2006 대한설비공학회 학술발표대회논문집 Vol.2006 No.11
The objective of this study is to apply the estimation program of cooling load, which is made for electric power supply and demand control, on general ice thermal storage system. When applying the program, the amount of cooling thermal storage is 0 ㎾ and operating mode is not considerable. The program estimate cooling load using the input values that are only the lowest and highest temperature for the next day. Then the estimated data help an operator to be easily handling the cooling system by calculation data. The estimated values were compared with the real values and investigated. In this way, office working conditions were more pleasant and running cost of ice thermal storage system were reduced.