• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.52-60
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• 2016

This study investigates and analyzes the total amount of energy consumption and $CO_2$ emission during the material manufacturing, transportation, construction, operation, and disposal phases of eight elementary school buildings in South Korea. Toward this ends, the hybrid LCA model is proposed. The life cycle energy consumption and $CO_2$ emission of eight case buildings are assessed using the hybrid LCA model with an assumption that the operation period is 40 years. As a result, the embodied(sum of the energy consumption in the material manufacturing, transportation and construction phases), operational and disposal energy were 2,279, 11,182, $228Mcal/m^2$, respectively, on average. The average embodied, operational, and disposal $CO_2$ emission were 604, 2,708, 60 kg-$CO_2/m^2$, respectively, on average. This result indicates that about 17% of life cycle energy (or $CO_2$ emission) is consumed in the material manufacturing, transportation and construction phases. Thus, it is necessary to consider the embodied energy and $CO_2$ emission to reduce the life cycle energy and $CO_2$ emission of school buildings. In addition, while the insulation standard of building have been provided based on the climate zone, energy consumption in operation phase still varied depending on the regions in this study. Thus, the insulation standard of building needs to be improved through considering the climate of regions in detail.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.571-574
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• 2016

최근 에너지 효율을 최적화하는 차세대 지능형 전력망인 스마트 그리드 시스템(Smart Grid System)이 국내외에 널리 보급되고 있다. 그로 인해 그리드 시스템의 효율적인 운영을 위해 적용되는 EMS(Energy Management System) 기술의 중요성이 커지고 있다. EMS는 에너지 사용량 예측의 높은 정확성이 요구되며, 예측이 정확하게 수행될수록 에너지의 활용성이 높아진다. 본 논문은 전력 사용량 예측의 정확성 향상을 위한 새로운 기법을 제안한다. 구체적으로, 먼저 사용량에 영향을 미치는 환경적인 요인들을 분석한다. 분석된 요인들을 적용하여 유사한 환경을 가지는 전력 사용량 데이터의 사전 군집화를 수행한다. 그리고 예측 일에 관련된 환경 정보와 가장 유사한 군집의 전력 사용량 데이터를 기반으로 전력 사용량을 예측한다. 제안하는 기법의 성능을 평가하기 위해, 다양한 실험을 통하여 일간 전력 사용량을 예측하고 그 정확성을 측정하였다. 결과적으로, 기존의 기법들과 비교했을 때, 최대 52.88% 향상된 전력 사용량 예측 정확성을 보였다.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.7
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• pp.27-34
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• 2018

The energy consumption of apartment houses is affected by various factors. The criteria for assessing current energy usage are area, region and purpose. The purpose of this study is to obtain the reliability of the method of evaluating the existing energy consumption certificate and to derive usable evaluation factors according to the correlation of factors affecting energy consumption. The research process collects energy usage data for apartment houses in Daegu and calculates statistical results through correlation analysis and multiple regression analysis. As a result, it was found that the power energy is influenced by the yearly factor of physical characteristics, and the heat energy and total energy usage are influenced by the energy source which is energy characteristic factor.

• Land and Housing Review
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• v.3 no.3
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• pp.249-261
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• 2012

The energy use of building operational stage is about 25% of total energy supply in Korea. The intensification of insulation at the design stage and the efficient instruments were used to reduce energy use of the buildings. These efforts are limited at the energy saving side, the residents voluntarily participation in the energy-conservation is more effective. To achieve this purpose, energy use information program (of the individual users) has been developed to lead the energy users actively participating in the energy-conservation program to share at the web. Also, by investigating the necessity and the will of usage of the program and applying a pilot program, the collectability of valid data and the usability have been evaluated.

• Journal of Environmental Impact Assessment
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• v.24 no.5
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• pp.487-498
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• 2015

The energy problem has occurred because of the effects of rising temperature and growing population and GDP. Prediction for the energy demand is required to respond these problems. Therefore, this study will predict heating and cooling energy consumption in residential sector to be helpful in energy demand management, particularly heating and cooling energy demand management. The AIM/end-use model was used to estimate energy consumption, and service demand was needed in the AIM/end-use model. Service demand was estimated on the basis of formula, and energy consumption was estimated using the AIM/end-use model. As a result, heating and cooling service demand tended to increase in 2050. But in energy consumption, heating decreased and cooling increased.

• Korean Journal of Construction Engineering and Management
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• v.16 no.5
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• pp.105-113
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• 2015

In order to evaluate the energy performance of buildings, it is important to determine reliable information of energy utilization during operating phase. It is also required to establish the database which have the amounts of population deducted by objective filtering and analysis. In this study, all energy sources were applied to evaluate synthetically the energy performance of Multi-Family Housings(MFH) using district heating and the amounts of population were obtained sufficiently through data searching in Seoul and neighbor cities. Finally the database of source energy utilization and $CO_2$ emission in 325 MFH complexes were established through cross validation between data sources and statistical analysis. Additionally, further ideas have been proposed to improve existing MFH Management Information System.

• Journal of Energy Engineering
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• v.26 no.3
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• pp.1-10
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• 2017

Among the four indicators that made up the evaluation indicators, the indicator on PR content scored the highest at 75.8 (3.79 out of a 5-point scale) followed by 74.4 (3.72) for PR media outlet, 69.6 (3.48) for PR impact, and 65.4 (3.27) for PR agency. The evaluation indicator or weighted average value of these indicators was 71.6 (3.58 out of a 5-point scale).In future research agendas, the development and analysis of quantitative evaluation indices that include changes in electricity consumption or auto fuel consumption is needed.

• Solar Energy
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• v.18 no.3
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• pp.41-50
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• 1998

The purpose of this study is to analyze the energy consumption status for various building types in Taejon. 35 sample buildings were classified into 8 building types, i.e., sports center & swimming pools, hotels, telecommunication exchange service facility, hospitals, research laboratories, department stores, exhibition galleries, universities. According to analyses, energy consumption patterns varies significantly for each building type. Sports centers consumes highest rate(689 $Mcal/sqm{\cdot}yr$) and universities lowest rate(86 $Mcal/sqm{\cdot}yr$) among selected building types.

• The Magazine for Energy Service Companies
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• s.2
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• pp.20-23
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• 2000

정부과천청사는 에너지 사용량이 많고 절약효과가 클 것으로 기대되어 지난 97년 정부의 국가에너지절약추진 대책의 일환인 ESCO사업 시범 대상기관으로 지정되었다. 사업추진기관인 행정자치부 과천청사관리소는 기존의 사업과는 다른 ESCO사업의 성격으로 인해 시행 이전 많은 논란과 애로사항을 겪기도 했으나, 공공기관 최초로 조명기기 교체를 통한 ESCO사업을 실시해 정부시책에 적극적으로 동참하고 에너지절약에도 앞장서고 있다는 평가를 받고 있다.

• Journal of Energy Engineering
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• v.29 no.2
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• pp.61-67
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• 2020

ESS-based buildings are being widely studied as an effective methods for saving energy with ZEB, BEMS, and FEMS. However, in large scale buildings, there are many energy-consuming facilities, so it is necessary to identify important energy-consuming facilities to build a real-time measurement system. In addition, there are a myriad of factors that affect the dependent variable of energy use, therefore there is a limitation that effective energy management is difficult. Therefore, this study applied the measurement boundary setting methodology according to the energy supply status through due diligence for the demonstration ESS distribution logistics facility, and suggested the methodolgy for presenting priority for the construction of the measurement system. Afterwards, the impact variables that Acting as an independent variable affecting the energy consumption of the distribution and logistics facilities were categorized into intrinsic and meteorological variables. Lastly, all factors that could affect the energy consumption of the actual distribution and logistics facilities, were classified and presented as guidelines list. By applying the results of this study, it is possible to build a monitoring system at a low cost and high efficiency in a distribution and logistics facility with a complex structure. And by identifying the main independent variables for the measured energy consumption, effectively identifying trends in energy consumption and deriving saving points It is expected to be able to operate the ESS-based infrastructure.