• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.7
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• pp.43-52
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• 2018

In this study, annual site and primary energy use intensities (EUIs) and CO2 emission intensities (CEIs) per area by end use were estimated based on the measurement data from June 2016 to May 2017 of 50 sample apartment units in Seoul. In addition, estimated site EUIs by end use were compared to the U.S. Residential Energy Consumption Survey (RECS) 2009 data. Site EUIs by end use were found to be in the order of heating > electric appliance > domestic hot water > cooking > lighting > cooling > air movement. In the case of primary EUIs and CEIs by end use, electric appliance was found to be the largest. As results of comparison with the RECS 2009 data, it was found that site EUIs were very similar for heating, domestic hot water and electric appliance, etc., but slightly different for cooling. The number of sample apartment units will continue to increase until 2020 (total number of samples 200) and intensities data by end use will be continuously updated through continuous collection of measurement data.

• Proceedings of the KIEE Conference
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• 2008.11b
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• pp.69-71
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• 2008

에너지 다소비산업구조로 되어 있는 국내 산업시설 및 건축물 분야에서의 초에너지절약형 시스템으로의 개선이 절실하다. 전력다소비건물을 중심으로 대형건물의 시간대별 전력사용량과 년간 전력사용량을 조사하였고, 연면적, 계약전력, 최대수요전력 등의 전력소비 특성을 조사 분석하였다. 조사된 자료의 전체 특징과 중심적인 경향을 알아 보기 위해서 평균값, 표준편차, 최대값, 최소값, 중앙값 등의 특징파라메터를 분석하였다. 이를 토대로 에너지 성능 중심의 전력원단위 기준(안) 및 연간 전기에너지 사용 총량을 분석하였고, 전기에너지 연간사용총량 산정에 필요한 자료를 데이터베이스화하였다.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.8
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• pp.19-27
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• 2018

In this study, annual site and primary energy use intensities (EUIs) and $CO_2$ emission intensities (CEIs) per area by end use were estimated based on the measurement data from June 2016 to May 2017 of 19 sample office buildings in Seoul. In addition, the estimated site EUIs by end use were compared to the U.S. Commercial Buildings Energy Consumption Survey (CBECS) 2012 data. Average site EUIs by end use were found to be in the order of electric appliance (typical floors) > heating > cooling > lighting > air movement > domestic hot water > vertical transportation > city water supply. In the case of primary EUIs and CEIs by end use, electric appliance was found to be the largest. As results of comparison with the CBECS 2012 data, it was found that the site EUIs were similar for heating, cooling, domestic hot water, and electric appliance, etc., but slightly different for lighting and air movement. The number of sample office buildings will continue to increase until 2020 (total number of samples 85) and intensities data by end use will be continuously updated through continuous collection of measurement data.

• Journal of Energy Engineering
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• v.24 no.4
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• pp.146-158
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• 2015

A bottom-up approach has been conducted to estimate greenhouse gas (GHG) emission and to analyze the marginal abatement cost for the Korean horticulture energy sector. With the systematically derived activity and energy balance data, the BAUs have been estimated, along with the marginal abatement cost over the period 2010 through 2030. The result from the marginal abatement cost analysis may provide general guidelines and procedures for the establishment of GHG abatement polices.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.6
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• pp.85-88
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• 2009

This paper shows a reasonable power density, that was made by the systematic and statistical way considering actual conditions, such as investigated power consumption capacity for the year and peak power, contract power for the last 5 years of each customer for 23 general customers all data obtained by AMR. In this dissertation, it is necessary to analyze the key features from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and load factor.

• Environmental and Resource Economics Review
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• v.18 no.2
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• pp.279-309
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• 2009

Greenhouse gas emissions should be precisely forecast to reduce the emissions from industrial production processes. This study calculated the direct and indirect $CO_2$ emission intensities of 401 industries using the Input-Output tables 2003 and statistical data on the amount of energy use. This study had some limitations in drawing study findings because overseas data were used given the lack of domestic data. Other limiting factors included the oil distribution problems in the oil refinery sector, re-review of carbon neutral, and insufficient consideration of waste treatment. Nonetheless, this study is very meaningful since the direct and indirect $CO_2$ emission intensities of 401 industries were calculated. Specifically, this study considered from the zero-waste perspective the effects of waste, which attract interest worldwide since coke gas and gas from the steel industry are obtained as byproducts for the first time in Korea. According to the results of the analysis of $CO_2$ emission intensity per industry, typical industries whose indirect $CO_2$ emission intensity is high include crude steel making, Remicon, steel wire rods & track rail, cast iron, and iron reinforcing rods & bar steel. These industries produce products using the raw materials produced in the industrial sector whose $CO_2$ emission intensity is high. The representative industries whose direct $CO_2$ emission intensity is high include cement, pig iron, lime & plaster products, andcoal-based compounds. These industries extract raw ore from nature and refine them into raw materials that are useful in other industries. The findings in this study can be effectively used for the following case: estimation of target $CO_2$ emission reduction level reflecting each industrial sector's characteristics, calculation of potential emission reduction of each policy to reduce $CO_2$ emissions, identification of a firm's $CO_2$ emission level, and setting of the target level of emission reduction. Moreover, the findings in this study can be utilized widely in fields such as System of integrated Environmental and Economic Accounting(SEEA) and Material Flow Analysis(MFA) as the current topic of research in Korea.

• Journal of the Korean Solar Energy Society
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• v.31 no.5
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• pp.99-104
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• 2011

It has to take quantitative energy usage of high school education facilities in nations to set goals of their energy reduction. Therefore, The purpose of this study is to present various analysis result of energy consumption that is a statistic alanalysis of high school education facilities in Korea to set the goal of energy saving. This study has enforced analysis and has provided used energy for the year 2008 and general information from 2022 high school education facilities in 16 cities in South Korea by the relevant agency. Used energy sources in high school education facilities are electricity, gas for heating, oil, coal, water, and this study has changed the various used energy sources as unit 'kWh' only for comparison and analysis them.

• Journal of the Korean Solar Energy Society
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• v.30 no.4
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• pp.55-62
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• 2010

The purpose of this study is to present various analysis result of energy consumption that is a statistical analysis of high school facilities in Korea for setting the goal of energy saving. This study enforced analysis after it provided used energy consumption for the year 2008 and general in formation from 2202 high school facilities in 16 cities in South Korea by the relevant agency. Consequently, it represents that the average energy consumption of electric power was 428.7MWh(65.7%), gas consumption for heating was 129.5MWh(19.8%), oil consumption was 84.6MWh(13.0%), district energy was 10.0MWh(1.5%) in nation after changing as unit 'kWh' only for comparison with every energy source. This result describes that consumption of electric power was large greatly and it reflects the expectation that it will climb the demand regarding this energy in the future. In additionally, it analyzed average energy consumption with $98.3kWh/m^2$ by the unit area of air-conditioning and the district which has large energy consumption was Gyeonggi-do with $115.9kWh/m^2$. Furthermore, it described the average energy consumption of $60.8kWh/m^2$ by the unit area of floor area and the average energy consumption of a student analyzed with 1157.0kWh.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.26 no.10
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• pp.474-480
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• 2014

This study investigated the total energy consumption and the energy consumption by type of 31 apartment complexes in Daejeon. The energy is supplied to the apartments from district heating, and can be divided into hot water, electricity, and gas. Hot water is used in for space heating and for domestic hot water (DHW), and electricity is used for plugs, cooling, ventilation, and public utilities (street lights, pumps, elevators, etc.). All gas supplied from district heating is used for cooking. As a result, the consumption unit of each energy source of independent dwelling areas was calculated to be $103.7kWh/m^2{\cdot}a$ ($15,692kWh/H{\cdot}a$) for thermal energy, $48.0kWh/m^2{\cdot}a$ ($4,646kWh/H{\cdot}a$) for electricity, and $10.5kWh/m^2a$ ($1,015kWh/H{\cdot}a$) for gas, so the entire consumption was calculated to be $162.3kWh/m^2{\cdot}a$ ($15,692kWh/H{\cdot}a$).

• Korean Chemical Engineering Research
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• v.56 no.6
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• pp.841-855
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• 2018

The purpose of this study is to estimate the available potential heat source for heat pump in the district heating supply area in the city. Unused energy potentials were estimated and integrated based on open source based data. In particular, geographical spatial analysis of recoverable heat energy density and heat demand in the heat source area of large retailers and public sauna facilities in the DH network located in the southern part of the metropolitan area (Pyeongtaek-si) was conducted. As a result of the study, the DH network area had a total potential energy of 1,741.7 toe/year for the two heat sources of large retailers and public saunas. It is estimated that 1,006.9 toe/year, which is 57.8% of the total, can be linked to the district heating. The large retailers showed a positive correlation with the floor area and energy use of 0.4937. The recoverable energy intensity was estimated to be $0.0017toe/m^2$ per unit area and $0.0069tCO_2/m^2$ for greenhouse gas emissions. In addition, public saunas were analyzed by comparing the empirical case with the theoretical calculation, and it was estimated that energy conservation estimate of 80% was $0.0315toe/m^2$ per bath area and $0.1183tCO_2/m^2$ for greenhouse gas emissions. The total potential energy amount of this area was positively correlated with the heat demand of apartment house by administrative district, and it was confirmed that it had a relatively high potential energy especially in traffic and commercial center.