가구 부문의 주거·교통 에너지 소비구조 분석에 관한 연구

노승철,이희연 한국지역학회 2013 지역연구 Vol.29 No.2

Understanding energy consumption structure of the household sector is vital for strategies to reduce energy consumption. The purpose of this study is to analyze the energy consumption structure of the household sector. This study examines the structural relation among factors that affect the household energy consumption per capita using partial least squares-structural equation modeling. This paper empirically examines the effects of household characteristics, housing characteristics, transport infrastructure and urban characteristics on household energy consumption in 81 cities for the year 2010. The results of PLS-SEM show that various consumption factors interact with each other both directly and indirectly affecting residential and transportation energy consumption. This study has quantified the significance of consumption factors for household energy consumption using path coefficients and effect size coefficients. The estimated parameters exert a significant indirect as well as direct influence on energy consumption, showing that it is particularly important to understand indirect relationships through path analysis. High density urban characteristics do not have a direct effect either on residential and transportation energy consumption. The indirect effect, however, is significant and negative, which suggests that urban characteristics affects residential and transportation energy consumption through other paths, such as influencing housing characteristics and transport infrastructure. 지역 간 가구 부문의 에너지 소비 격차는 중요한 이슈가 되고 있으며, 가구 부문의 에너지 소비구조에 대한 이해는 에너지 소비 저감 전략을 수립하는데 있어서 매우 중요하다. 본 연구는 가구 부문의 에너지 소비구조를 분석하는데 목적을 두었으며, 가구 부문의 에너지 소비에 영향을 주는 요인들 간의 관계를 분석하기 위해 부분최소자승-구조방정식 모형을 활용하였다. 2010년도 81개 시를 대상으로 하여 가구 부문의 에너지 소비에 미치는 영향력을 모형을 통해 추정 한 결과 가구의 에너지 소비행태 특성, 주택의 에너지 효율성 특성, 교통기반시설 특성, 도시 특성들은 모두 서로 상호작용하면서 직‧간접적으로 주거 에너지와 교통 에너지 소비에 영향을 미치는 것으로 나타났다. 또한 에너지 소비요인들의 상대적 영향력을 경로계수와 효과지수를 통해 분석한 결과 간접경로를 통한 영향력도 매우 중요한 것으로 나타났다. 특히 고밀도의 도시 특성은 주거 에너지와 교통 에너지 소비에 직접적인 영향을 주지는 않으나 가구의 에너지 소비행태 특성, 교통기반시설 특성, 자가용 이용 특성 등에 영향을 줌으로서 간접적으로 에너지 소비 감소에 긍정적인 영향을 미치는 것으로 나타났다.

도시에너지 소비의 공간?시간적 특성 분석

이강국,홍원화 대한건축학회 2006 대한건축학회논문집 Vol.22 No.9

The study has accumulated the energy data used in buildings according to building types within which city and uses a Mesh Data, for urban energy consumption. The study is based on accumulated data and finds traits of energy distribution by space and time and urban energy consumption. The result of the study is as follows. 1. Upon analyzing energy consumption of subjected area for the study, the commercial buildings show the peak demand of electricity while the residential buildings do the peak demand of heating. 2. Although residential, office and commercial buildings monthly showed low energy consumption per square units, they all have a large proportion of energy consumption because of huge space for buildings and for what composition ratio which provide a determined factor that would greatly effect on urban energy consumption. 3. Distribution of buildings according to their type like a commercial and residential building has influence on the change of spatial and temporal traits of urban energy consumption. 4. High urban energy consumption has been annually shown with centering on a Joonggu district where all kinds of buildings exist ,and social and economic activities occur. 5. A summer in four seasons showed the highest level in the urban energy consumption. 6. 8 PM in 24 hours shows the highest level in the urban energy consumption.

E-GIS DB를 활용한 도시에너지 수요예측 방안에 관한 연구

여인애(Yeo, In-Ae),윤성환(Yoon, Seong-Hwan) 대한건축학회 2012 대한건축학회논문집 Vol.28 No.7

This study suggested improved energy consumption algorithm at the point of ①facility planning information DB, ②energy and planning statistics DB, ③accuracy of energy consumption calculation which concerns urban energy consumption. The results of this study were as follows. Urban energy consumption was estimated and managed per unit space using E-GIS DB which contains facility information per mesh. The level of urban planning energy was made varied as timely, energy load, and energy resources linking with energy simulations and world energy consumption unit. Urban energy consumption was reflected by the urban facility classified and standardized by the characteristics of energy use. Calculation accuracy of energy consumption was reached by separately suggested as summer algorithm reflecting urban heat island on summer energy use and winter algorithm reflecting heating system normally used in Korea. UCSS based "Energy Consumption Algorithm for Cooling Season" and SimHeat based "Energy Consumption Algorithm for Heating Season" were suggested for calculating energy consumption with high accuracy. Urban Energy Consumption Algorithm was systemized with "Energy Consumption Units", statistic values of urban energy consuming facility linked with planning information of E-GIS DB, which is possible to calculate 8760 hours of heat and electricity consumption per year.

한국의 에너지 소비와 경제성장의 탈동조화에 대한 분석

강현수 강원대학교 경영경제연구소 2023 Asia-Pacific Journal of Business Vol.14 No.4

Purpose - This study analyzed the decoupling phenomenon between energy consumption and economic growth in Korea from 1990 to 2021. The main purpose of this study is to suggest policy implications for achieving a low-carbon society and decoupling that Korea must move forward in the face of the climate change crisis. Design/methodology/approach - This study investigated the relationship between energy consumption and economic growth by energy source and sector using the energy-EKC (EEKC) hypothesis which included the energy consumption on the traditional Environmental Kuznets Curve (EKC), and the impulse response function (IRF) model based on Bayesian vector auto-regression (BVAR). Findings - During the analysis period, the trend of decoupling of energy consumption and economic growth in Korea is confirmed starting from 1996. However, the decoupling tendency appeared differently depending on the differences in energy consumption by sources and fields. The results of the IRF model using data on energy consumption by source showed that the impact of GDP and renewable energy consumption resulted in an increase in energy consumption of bio and waste, but a decrease in energy consumption by sources, and the impact of trade dependence was found to increase the consumption of petroleum products. Research implications or Originality - According to the main results, efficient distribution by existing energy source is required through expansion of development of not only renewable energy but also alternative energy. Additionally, in order to increase the effectiveness of existing energy policies to achieve carbon neutrality, more detailed strategies by source and sector of energy consumption are needed.

Prediction of commercial building lighting energy consumption based on EPSO-BP

Guorong Sha,Qing Qian 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10

It aims to distinguish the whereabouts of the total energy consumption of commercial building lighting accurately and improve prediction accuracy. Based on the use of commercial building lighting energy consumption, this paper divides the total lighting energy consumption into three sections, such as the advertising lighting energy consumption, decorative lighting energy consumption and special lighting energy consumption. The EPSO-BP prediction model is constructed and the sub-item prediction of energy consumption of commercial building lighting is realized through MATLAB software. The advertising lighting energy consumption, decorative lighting energy consumption and special lighting energy consumption are predicted by this model, and compared with the other models. The experimental results show that the prediction model proposed in this paper can distinguish the whereabouts of the total energy consumption and predict the lighting energy consumption in the various sub-items of the commercial building more accurately and effectively.

The Application of Building Energy Consumption Index in Campus Energy Efficiency Management Platform

Liang Zhao,Jili Zhang,Jinxing Ma 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.7

Categorized, itemized energy consumption model of buildings is established using energy consumption data of campus energy efficiency management platform; existing categorized, itemized energy consumption evaluation indices of buildings are summarized; and a mathematical model of building energy consumption indices is established, providing the basis for the quantitative evaluation of building energy consumption. The scope of application of each index is summed up; and the methods and steps for evaluation of building energy consumption using categorized, itemized energy consumption indices of buildings are elaborated through case study. The results show that the categorized energy consumption indices of buildings can be used to analyze the whereabouts and proportion of various energy consumptions of buildings, grasp the energy structure of buildings, and help analyze the power consumption trends of buildings and the proportion of various sub items, providing the basis for the formulation of energy efficiency management plan.

Estimating the Efficiency of Transportation Energy Consumption based on Railway Infrastructure and Travel behavior Characteristics

Hyunsu Choi,Dai Nakagawa,Ryoji Matsunaka,Tetsuharu Oba,Jongjin Yoon 한국철도학회 2013 International Journal of Railway Vol.6 No.2

공동주택 에너지 소비 경향 분석에 관한 연구

이현정(Lee Hyun-Jung),박선효(Park Sun-Hyo),배상환(Bae Sang-Hwan),이병석(Lee Byung-Seok),김양섭(Kim Yang-Sub) 한국태양에너지학회 2012 한국태양에너지학회 학술대회논문집 Vol.2012 No.3

In 2009, The Ministry of Land, Transport and Maritime Affairs, Korea opens apartment maintenance fee to public in 「Apartment Management Info System」. The high energy consumption component of apartment, which is hot water, water, electricity and heating, is released to public on this system. Through this system, apartment energy consumption and greenhouse gas emissions data can be compiled and expected to be accurately analyzed. Energy consumption and greenhouse gas emissions statistics of the apartment are collected being made to reduce energy and gas emissions. However, The accurate survey of energy consumption tends have not been accomplished. The energy consumption and greenhouse gas emissions survey in should be made first in order to reduce energy consumption. and then the correlation factors analysis which is affecting energy consumption is required. The purpose of this study is to analyze energy consumption characteristics of apartment in Bundann-gu, Seongnam, Korea in monthly, unit area and building built year basis. And then the research can be used as the basis of policy to Reduce energy consumption and greenhouse gas emissions.

에너지 소비와 경제성장의 동태적 관계에 관한 분석

정수관 한국자료분석학회 2022 Journal of the Korean Data Analysis Society Vol.24 No.2

Energy consumption plays an important role in economic growth as a factor of production such as labor and capital, but as the economy grows, income increases, which can contribute to increasing energy consumption. In order to analyze the interdependence between economic growth and energy consumption, a production function model including four variables of gross domestic product, labor, capital, and energy consumption was used through annual data from 1981 to 2020. Granger causality, variance decomposition of prediction error, and impulse response function analysis were used. As a result, it was found that there is no long-run stable relationship between energy consumption and gross domestic product when structural changes are taken into account. There was a bidirectional short-term causal relationship between energy consumption fluctuations and economic growth. The forecasting error variance decomposition and the impulse response function analysis were consistent with the results of the Granger causal analysis. It was found that the effect of economic growth on energy consumption fluctuations is relatively larger than the influence of energy consumption fluctuations on economic growth. Energy consumption fluctuations can act as a burden on economic growth, but economic growth has increased energy consumption fluctuations. It can be concluded that changes in energy consumption and economic growth are helpful for mutual prediction. 경제성장은 소득을 늘려 에너지 소비를 증가시키기도 하지만, 노동과 자본처럼 하나의 투입 요소로 에너지 소비는 경제성장에 중요한 역할을 할 수 있다. 에너지 소비와 경제성장의 상호의존성을 규명하기 위해 그랜저 인과성, 예측오차 분산분해, 충격반응함수 분석이 활용되었다. 생산함수를 기반으로 국내총생산, 노동, 자본, 에너지 소비의 1981년부터 2020년의 연간자료가 이용되었다. 분석 결과 구조적 변화를 고려하면 에너지 소비와 국내총생산 간 장기적 균형 관계가 존재하지 않는 것으로 밝혀졌다. 에너지 소비변동과 경제성장 사이에 양방향의 그랜저 인과관계가 성립하는 것으로 나타났다. 경제성장이 에너지 소비변동에 미치는 영향력이 에너지 소비변동이 경제성장에 미치는 영향력보다 상대적으로 큰 것으로 나타났다. 에너지 소비변동은 경제성장에 부담으로 작용할 수 있지만, 경제성장은 에너지 소비변동을 증가시켰다. 에너지 소비변동과 경제성장은 상호 예측에 도움이 되지만, 충격에 대한 반응은 차이가 날 수 있다는 것을 확인할 수 있었다.

에너지 해석을 통한 대학건물의 에너지 성능개선 방안에 관한 연구

정재웅(Jung Jae-Woong),김동우(Kim Dong-Woo),석호태(Seok Ho-Tae),양정훈(Yang Jeong-Hoon) 한국태양에너지학회 2010 한국태양에너지학회 논문집 Vol.30 No.1

Today, the amount of energy consumption in the university campuses is huge. The effort for the energy consumption reduction in university campuses is certainly needed by the following reason; first, contribution to the greenhouse gas discharge reduction demand. Second, energy cost reduction in university campus. Third, contribution to the improvement of the social awareness as the maximum higher educational institutions. The energy consumption analysis of current situation has to be executed for the energy consumption reduction in university campus. The energy reduction possibility in which it exists in university campuses can be understood through the energy consumption analysis. And the application is possible as fundamental data ofthe policy establishment for the effective energy reduction in university campuses. Especially, the best way to reduce the energy consumption in university campuses that is the energy consumption reduction of buildings. Accordingly, this study derived the plans for improving the performance of energy in the university building by analyzing case study, so this study analyzed the performance of energy for the university building through VE, a program for the analysis of building energy. Based on this result, this study classified the plans improving the efficiency of energy in university building into the plan for passive control and active control respectively, and suggested some concrete plans, and finally evaluated the performance of decreasing energy consumption for each plan.