• 대한지리학회지
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• 제22권
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• pp.10-22
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• 1980

이 글에서는 다음의 내용을 다루었다. 1. 난방도일의 수도분포와 겨울 설계기온 2. 난방도일의 분포

• Journal of Biosystems Engineering
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• 제15권4호
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• pp.346-354
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• 1990

In order to provide basic references for the design of heating on simple silkworm rearing house, the actual change of heating load coefficient by progress of adult silkworm rearing day from the reared in silkworm rearing house, the heating load coefficient by types of silkworm rearing houses and the heating requirement and the maximum heating load by types of silkworm rearing houses were determined. The results obtained from the study were as follows : 1. The average heating load coefficients of NS, OS and CC type simple silkworm rearing houses were $24.1KJ/m^2-hr-^{\circ}C$, $19.8KJ/m^2-hr-^{\circ}C$, and $10.8KJ/m^2-hr-^{\circ}C$, respectively. 2. The change of heating load coefficient by progress of silkworm rearing day after reared into simple silkworm rearing house could be expressed as Fig. 4. 3. Heating degree-hour for adult silkworm rearing in Suweon district was calculated as $951.6^{\circ}C-hr$ for spring season and $610.5^{\circ}C-hr$ for autumn season. 4. Yearly heating requirement of the NS type was estimated twice more than that of the CC type. Thus, some kinds of reinforced thermal adiabatic facilities is desirable for NS type. 5. The time for maximum heating load was turned out at the 4th instar during the spring season and after the mounting during the autumn season. 6. This study was performed in Suweon district. However, the estimated and analyzed data could be adapted to the major silkworm rearing district if their meteorology data were adjusted.

• 한국태양에너지학회 논문집
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• 제36권6호
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• pp.61-69
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• 2016

In this study, we analyzed five-year(2011~2015) data for D high school in Seoul area to analyze energy consumption characteristics in high school. The results are summarized as follows. (1) In the result of comparison analysis about 2015 energy consumption by usage, based on primary energy, 18% of energy was consumed in cafeteria, and 82% was consumed in main building. In the case of main building, base and constant load excepting hot water supply in restroom took 40%, heating including freeze protection took 20%, hot water supply in restroom took 14%, and cooling took 8% in order. (2) In the 2015 total energy consumption in D high school based on primary energy, heating energy takes 28%. The range and limit of energy savings coming from the reinforcement of insulation and window performance could be estimated. (3) To introduce new & renewable energy system in high school, electricity-based system is suitable than heat-based system because usage of electric energy is larger than that of heat energy in high school. (4) Five-year energy consumption unit according to heating degree-day showed a linearly increasing trend, and the coefficient of determination(R2) was 0.9763, which means high correlation.

• 한국식품영양과학회지
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• 제27권6호
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• pp.1100-1104
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• 1998

The preference test of cowpea mook(gel prepared with air-dried sediment of cowpea) indicated that the optimum concentration and heating temperature for mook-making were 8% at 95$^{\circ}C$ or 9% at 90$^{\circ}$and 95$^{\circ}C$ with continuous heating method(A), and 8% at 85$^{\circ}C$ or 7% at 9$0^{\circ}C$ with instantaneous heating method(B). Among the samples the mook made from 9% at 95$^{\circ}C$ with the method A was the most preferable. The degree of increase in hardness of mook prepared by the method B stored at 6$^{\circ}C$ for 8hr was much slower than that by the method A. the preference test of the mook stored at 6$^{\circ}C$ for 1 day revealed that the mook by the method A with 8%(95$^{\circ}C$) and by the method B with 7 and 8% (85$^{\circ}C$) were not significantly different.

• 설비공학논문집
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• 제26권2호
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• pp.79-85
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• 2014

In general, building energy performance is evaluated with a detailed transient building energy simulation program. However, energy evaluation tools with the bin method are still used, because of their simple and easy way to calculate building energy performance, without reducing their precision. In this research, several heating and cooling degree day methods are compared, and evaluated with their performance for variable base temperature. This analysis considered about ten years of the continuous outdoor temperature, in the Seoul and Busan areas. It is concluded that the simplified bin method is more or less acceptable for Seoul and Busan, compared with the detailed hourly bin method.

• 대한지리학회지
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• 제40권5호
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• pp.584-593
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• 2005

난방도일과 냉방도일은 에너지 사용량 예측에 사용되는 개념으로 특정 지역의 열기후적 특성을 이해하는 데 유용하게 사용되어 왔다. 난방도일과 냉방도일의 공간 분포는 반대로 나타난다. 난방도일의 경우 남부에서 최소가 나타나고 북쪽으로 올수록 그 값이 증가하고 강원도를 포함한 북동쪽에서 최대가 나타났다. 냉방도일은 제주도와 남부에서 최대가 나타나고 북쪽으로 올수록 그 값이 감소한다. 냉방도일에는 최근 30년간 뚜렷한 변화 경향이 나타나지 않지만 난방도일의 경우는 모든 지점에서 뚜렷한 감소 경향이 나타났다. 난방도일의 감소는 최저기온의 급격한 상승에 기인한 것으로 판단된다. 또한 난방도일의 감소는 연 평균기온의 증가보다 뚜렷한 변화 경향을 나타냈다. 평균기온에서 뚜렷한 변화 경향이 탐지되지 않더라도 기후변화의 영향이 존재할 수 있음을 나타낸다. 또한 최근 급격한 난방도일의 감소는 기후편차지수의 증가를 초래하여 한반도 내 난방도일의 변동이 커지고 있음을 보여주고 있다.

• 한국기후변화학회지
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• 제4권2호
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• pp.141-158
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• 2013

본 연구에서는 IPCC SRES 6개 기후변화 시나리오(A2, A1B, A1FI, A1T, B1, and B2)를 기반으로 우리나라의 현재(1996~2005년)와 미래(2046~2055년, 2091~2100년)에 대한 냉난방도일을 전망하였다. 이를 위하여 전구 기후모델(CCSM3)의 미래 전망 결과를 지역규모 기후모델(MM5)을 이용한 다운스케일링을 통해 고해상도(18km)의 기온 전망을 수행하였다. 21세기 말의 한반도 기온은 현재 대비 약 $1.2{\sim}3.4^{\circ}C$ 수준까지 증가하는 것으로 전망된다. 기온 전망 결과를 이용하여 7개 권역별(서울 경기, 강원 산간, 중부 내륙, 남부 내륙, 남부 해안, 영동 울릉, 제주) 냉난방도일을 전망한 결과, 21세기 말의 난방도일은 현재 대비 8~25% 수준까지 감소하는 반면에 냉방도일은 242~1,448%까지 증가하였다. 또한, 난방기간은 약 1개월 정도 감소하며, 냉방기간은 최대 2개월 이상 증가하는 것으로 나타났다. 따라서 현재에 비해 미래의 난방에너지 수요는 감소하지만, 냉방에너지 수요는 증가할 것으로 예측된다. 특히, 이러한 변화는 타 권역에 비해 강원산간권역과 제주권역에서 뚜렷하게 나타날 것으로 예측된다. 따라서 미래에는 난방을 위한 화석에너지보다 냉방에너지로 사용되는 전기에너지에 대한 수요관리가 현재보다 더욱 중요해질 수 있음을 의미한다.

• 응용통계연구
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• 제27권5호
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• pp.843-853
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• 2014

급증하고 있는 전력수요에 대한 신뢰성 있는 예측은 합리적인 전력수급계획 수립 및 운용에 있어서 매우 중대한 사안이다. 본 논문에서는 여러 시계열 모형의 비교를 통해 전력수요량과 밀접한 연관성이 있는 온도를 어떠한 형태로 고려할 것인지, 또한 4계절이 뚜렷하여 계절별 기온 차가 많이 나는 우리나라의 특성을 어떻게 고려할 것인지에 대하여 연구하였다. 모형 간 예측력을 비교하기 위하여 Mean Absolute Percentage Error(MAPE)를 사용하였다. 모형의 성능비교 결과는 냉 난방지수와 계절요인을 동시에 고려하면서 큰 변동성을 잘 고려해줄 수 있는 Reg-AR GARCH 모형이 가장 우수한 예측력을 나타냈다.

• 환경영향평가
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• 제19권6호
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• pp.591-605
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• 2010

Cool roofs are currently being emerged as one of important mechanism to save energy in relation to the building. This paper reviews worldwide experiences (USA, Japan and EU etc) for the potential benefits cool roofs offer in relation to building energy saving for comparison purposes. It is confirmed that there is a significant potential to the energy saving by introducing the cool roof in a Korean climate because of similarity in terms of HDD (Heating Degree Day) and CDD (Cooling Degree Day) as those countries reviewed. Such a comparative study highlights that the type of measurements performed and the quantitative parameters reported from the countries should be standardized in Korean context in order to implement further comparable experiments for scientifically sound investigations. It is anticipated that this research output could be used as a valuable reference in implementing a Nation-wide cool roofing strategy in the central and local governments since a suitable technical, more objective direction has been proposed based on the measured, fully quantitative performance of the involved components of a cool roof system in the global context. From this critical review, a very important step has been made concerning the practicality of cool roof in Korean context. Ultimately, the suggestion in this paper will greatly contribute to opening new possibilities for introducing cool roof in this country, proposed as an initial aim of this paper.

• 한국태양에너지학회 논문집
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• 제40권1호
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• pp.15-24
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• 2020

Building energy consumption generally depends on living patterns of residents and outdoor air temperature changes. Although outdoor air temperature changes effect on building energy consumption, there is no calibration method for the comparison before and after Green Remodeling or BEMS installation etc., Big data of building energy consumption are collected and managed by 『National Integrated Management System of Building Energy』 in Korea, and they are utilized for the development of a calibration method for individual buildings as shown as the calibration method for small-area building stocks in the previous research. This study aims to develope a calibration method using big data of building energy consumption of individual buildings and outdoor air temperature changes, and to propose application of appropriate calibration methods for individual buildings or small-area building stocks according to the calibration purpose and conditions.