• Environmental and Resource Economics Review
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• v.29 no.4
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• pp.419-442
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• 2020

The majority of the natural gas demand in South Korea is mainly determined by the heating demand. Accordingly, there is a distinct seasonality in which the gas demand increases in winter and decreases in summer. Moreover, the degree of sensitiveness to temperature on gas demand has changed over time. This study firstly introduces changing temperature response function (TRF) to capture effects of changing seasonality. The temperature effect (TE), estimated by integrating temperature response function with daily temperature density, represents for the amount of gas demand change due to variation of temperature distribution. Also, this study presents an innovative way in forecasting daily temperature density by employing functional principal component analysis based on daily max/min temperature forecasts for the five big cities in Korea. The forecast errors of the temperature density and gas demand are decreased by 50% and 80% respectively if we use the proposed forecasted density rather than the average daily temperature density.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.36 no.5
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• pp.553-562
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• 2012

Computational Fluid Dynamics (CFD) analysis has been performed to estimate the air temperature inside an Auxiliary Feed Water (AFW) Motor-Driven (MD) pump room for the case where there is loss of Heating, Ventilation, and Air-Conditioning (HVAC). A transient calculation for the closed pump room without cooling by any HVAC system shows that the volume-averaged air temperature reaches around $60^{\circ}C$ for a transient period of 8.0 h. From previous studies, the external air and surface boundary temperatures are assumed to increase slowly starting from an initial temperature of $35^{\circ}C$. For the cases where the door is opened at 2, 4, and 6 h after the initiation of HVAC failure, the average air temperature promptly drops by about $4^{\circ}C$ when the door is opened and then slowly increases. The current calculations based on the CFD technique predict the rate of increase of air temperature to be lower than that determined by previous conservative calculations on the basis of a lumped model.

• Journal of Energy Engineering
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• v.15 no.4 s.48
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• pp.235-242
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• 2006

This study experimentally investigates the performance improvement of the heat pump by adopting the hot gas bypass method and using the internal heat exchanger according to the automatic defrost test conditions of ISO 5151 This study compares the hot gas bypass method with the time step method, and investigates effect on outdoor coil fan speed when the hot gas of compressor outlet enter outdoor coil inlet after the frost formation. The tests were made for the fan speeds of the outdoor coil controlled at 90, 60 and 30% of the normal speed together with the case of the stationary fan. The performance of the heat pump is evaluated by variables such as COP, heat capacity, and the average COP during the 210 minutes heating mode. Results show that average COP of the hot gas bypass mettled is $2.2{\sim}6%$ higher than that of the time step method. When the outdoor coil fan speed is 60% (780 rpm) of the normal speed, it shows the best COP and heating capacity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.347-350
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• 2018

In order for an IoT system to automatically make the house temperature pleasant for the user, the system needs to predict the optimal start-up time of air-conditioner or heater to get to the temperature that the user has set. Predicting the optimal start-up time is important because it prevents extra fee from the unnecessary operation of the air-conditioner and heater. This paper introduces an ANN(Artificial Neural Network) and an IoT system that predicts the cooling and heating time in households using air-conditioner and heater. Many variables such as house structure, house size, and external weather condition affect the cooling and heating. Out of the many variables, measurable variables such as house temperature, house humidity, outdoor temperature, outdoor humidity, wind speed, wind direction, and wind chill was used to create training data for constructing the model. After constructing the ANN model, an IoT system that uses the model was developed. The IoT system comprises of a main system powered by Raspberry Pi 3 and a mobile application powered by Android. The mobile's GPS sensor and an developed feature used to predict user's return.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.2
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• pp.39-47
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• 2018

This study was carried out to investigate the applicability of alternating temperature control during night time in a nursery seedling production. Three groups of samples were exposed to three different environmental conditions for 6 days from 18:00 to 09:00; one was constantly 15 ℃, another was alternating between 15 ℃ for 2 hours and 11 ℃ for 2 hours, and the other was alternating between 15 ℃ for 2 hours and 11 ℃ for 4 hours. Leaf temperature and stem temperature was measured in real time. The influence of cold stress was analyzed by flavonoid content and growth of tomato seedling. The temperature of leaves and stem became equal to the ambient temperature over time, furthermore, there was no significant difference among the treatments. In conclusion, it is considered that heating costs can be saved considerably, as the alternating temperature has fewer effects on cold stress reaction by tomato seedling growth.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.829-836
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• 2017

This paper is a study on development of a new structured AMR/AMI(automatic meter reading/advance metering infrastructure) system. The developed system has a faster reading and is cheaper and easier to install compared to the existing AMR/AMI system. The system can be applied to AMR/AMI for five kinds of meters, electricity, gas, water, hot-water and calorie meter, which are used in most Korean households. Test results show that the developed system is both economical and reliable both in theoretical and practical applications. The resuts also show that the developed system is more suitable than existing system for AMR/AMI applications.

• Journal of Energy Engineering
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• v.22 no.1
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• pp.38-43
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• 2013

There was a dire need to compile data about energy consumption data by use to analyze residential energy consumption patterns relating to changes in lifestyles, or changes in life behavior. Accordingly, bottom-up model for residential energy consumption by residential use was developed by life behavior classification in an attempt to analyze energy consumption. This paper multiplied each appliance's running times by each appliance by life behavior and built a residential bottoms-up model to figure out the energy consumption of each household. The uses by life behavior were broken down into lighting, heating, cooling, entertainment, obtaining information, hygiene, and cooking.

• Journal of the Korean Institute of Gas
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• v.4 no.4 s.12
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• pp.13-19
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• 2000

Researches on unused energy are being continued because of the limited fossil fuel and the destruction of environment. Therefore this study was performed as follows The collectable amount of exhausted heat for an air-conditioning was calculated by the subway thermal environment prediction program. And the electric power needed by conventional heat source equipments was compared with one by unused heat source equipments when the exhausted heat was used by heat pump in heating and hot water supplying.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.107-112
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• 1997

본 연구의 목적은 겨울철 난방시 한국인의 온열감각과 온열환경지표 사이의 상관관계 및 ASHRAE Standard 55-74의 쾌적영역과 한국인의 쾌적영역을 체감실험을 통해 규명 및 제시하는 것이다. 유니폼을 착용한 피실험자는 온도, 습도, 기류 등이 조절되는 환경시험실에서 2시간동안 체재하면서 매 15분 마다 전신온냉감, 쾌불쾌감 등을 신고하였다. 또한 인체의 3부위에서 피부온도, 환경시험실의 온도 및 습도를 매 20초 간격으로 측정하였다. 이상의 체감실험을 통해 아래의 결론을 얻었다. 1)평균피부온도가 증가함에 따라 TSV는 선형적으로 증가하며 열적으로 중립감을 느낄 때의 평균피부온도는 청년 34.$0^{\circ}C$, 고령자 33.5$^{\circ}C$이다. 2)TSV=0일때 청년의 중립 SET＊는 25.5$^{\circ}C$, 고령자의 중립 SET＊는 27.$0^{\circ}C$이다. 3)한국인의 쾌적범위는 청년의 경우 SET＊의 경우 24.2-26.8$^{\circ}C$, 고령자의 경우 SET＊25.7-28.2$^{\circ}C$로 ASHRAE St.55-74의 권장 쾌적범위 (22.0-25.4$^{\circ}C$)보다 다소 고온지향적이다.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1999.11a
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• pp.109-113
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• 1999

겨울철 난방에너지와 여름철 냉방에너지 절감을 위한 자갈축열 태양열 온실의 설계자료를 얻고자 모형 자갈축열층과 이론적 해석을 통하여 축열층의 공기유동성 및 자갈축열층의 축열성능을 분석한 결과를 요약하면 다음과 같다. 1. 압출식으로 공기를 유동시켰을 경우 축열층내 풍속은 0.09-l.50㎧(평균 0.60㎧)범위였으며, 흡인식으로 공기를 유동시켰을 경우 축열층내 풍속은 0.15-0.90㎧(평균 0.46㎧)범위로 평균풍속은 압출식이 높게 나타났으나 축열층 가운데에서는 흠인식이 약 0.06㎧정도 높게 나타났다. 이러한 결과로 볼 때 자갈축열층내 공기순환을 위한 별도의 파이프 매설은 불필요한 것으로 판단된다. 2. 자갈축열층의 공극율이 증가할수록 축열량은 감소하였으며 순환팬 용량과 공극율에 따라 평균 2,133㎉/h-3,243㎉/h 정도 축열량 차이가 있는 것으로 나타났다. 3. 공극율이 0.45인 경우 축열층의 높이가 높을수록 자갈축열층의 온도는 서서히 증가하였으며, 축열층 높이 60cm이하에서는 축열 7시간이후부터는 축열량 변화를 거의 없는 것으로 나타났다. 4. 이러한 결과를 모형축열층에 있어 실험적으로 구해지는 축열 자갈층의 온도 및 축열량과의 비교 검증단계를 거쳐 온실규모에 필요한 적정 축열시스템을 산정할 수 있는 시뮬레이션 프로그램의 기초자료로 활용하고자 한다.