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.

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.

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.

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.

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.

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

In recent years, energy consumption in the transportation sector by expanding motorization continues to increase in almost every country in the world. Moreover, the growth rate of the transportation energy consumption is significantly higher than those of the civilian and industrial sectors. Therefore, every country strives to reduce its dependence on private transport, which is the main contributor to the transportation energy consumption. In many countries, concepts such as Transit Oriented Development (TOD) or New Urbanism, which controls road traffic by increasing the proportion of the public transportation significantly, have been implemented to encourage a modal shift to public transport. However, the level of change required for eliminating environmental problems is a challenging task. Minimizing transportation energy consumption by controlling the increase of the traffic demand and maintaining the level of urban mobility simultaneously is a pressing dilemma for each city. Grasping the impact of the diversity of the urban transport and infrastructure is very important to improve transportation energy efficiency. However, the potential for reducing urban transportation energy consumption has often been ineffectively demonstrated by the diversity of cities. Therefore, the accuracy of evaluating the current efficiency rate of the urban energy consumption is necessary. Nevertheless, quantitative analyses related to the efficiency of transportation energy consumption are scarce, and the research on the current condition of consumption efficiency based on international quantitative analysis is almost nonexistent. On the basis of this background problem definitions, this research first built a database of the transportation energy consumption of private modes in 119 cities, with an attempt to reflect individual travel behaviors calculated by Person Trip data. Subsequently, Data Envelopment Analysis (DEA) was used as an assessment method to evaluate the efficiency of transportation energy consumption by considering the diversity of the urban traffic features in the world cities. Finally, we clarified the current condition of consumption efficiency by attempting to propose a target values for improving transportation energy consumption.

농촌지역 농가 에너지소비 모델 개발

리신호,왕군,윤성수,Rhee, Shin-Ho,Wang, Jun,Yoon, Seong-Soo 한국농공학회 2008 한국농공학회논문집 Vol.50 No.4

As the price of traditional fossil fuels continue to increase, more people attach importance to the pollution of the environment caused by fossil fuel's burning, developing and using renewable energy resources has become a very important project all over the world. Also, the rural energy planning which is another method to improve energy utilization ratio and reduce environment pollution, is also regarded as a very effective way to reduce the energy consumption. There is a quantity of renewable energy resources and natural tribes in rural area, which is both feasible to develop the renewable energy and the regional energy planning. To carry out this, it is needs to know the area's quantity of renewable energy resources and the total energy consumption. This paper is to find out the relationship between rural energy consumption and rural conditions, and to found a energy consumption model which can conjecture the energy consumption in rural family. and the cost of rural family's energy consumption was founded to conjecture how much money dose it cost in rural family's energy consumption. The energy consumption model was concluded using the surveys of 76 families in 14 villages at the area of Chungcheongbuk-Do(province). The main factors to energy consumption was selected out which were number of family members, acreage of house, acreage of farmland and family's annual income.

한국의 에너지소비 변동성 변화 분석

신동현 ( Dong Hyun Shin ),조하현 ( Ha Hyun Jo ),김재혁 ( Jae Hyeok Kim ) 한국경제학회 2015 經濟學硏究 Vol.63 No.3

본 논문은 1997년 외환위기 이후 한국의 최종 에너지소비 변동성 변화를 분석하였다. 내생적 구조변화 분석방법을 활용하여 실증분석한 결과, 한국의 최종 에너지소비의 변동성은 2002년 1월 이후로 이전보다 약 50% 감소한 것으로 나타났다. 부문별로는 수송, 상업·가정, 공공 부문의 에너지소비 변동성이 감소하였고, 에너지원별로는 석유의 소비 변동성이 감소하였다. 반면, 석탄과 신재생에너지소비의 변동성은 증가한 것을 확인할 수 있었다. 에너지소비 변동성 감소의 원천을 파악하기 위해서 비중을 고려한 부문별·에너지원별 소비(growth contribution)의 변동성 변화를 분석한 결과 산업, 상업·가정 부문과 석유, 열에너지소비가 전체 에너지소비 변동성 감소의 원천임을 확인할 수 있었다. 장기균형 관계를 반영한 오차수정모형(error correction model)을 이용하여 최종 에너지소비 변동성 감소의 원인을 분석한 결과, 변동성 감소의 원인은 외부충격의 크기 감소가 아닌 충격의 지속성 감소인 것으로 확인되었다. 구체적으로 에너지소비에 대한 산업생산의 영향 하락과 에너지소비, 산업생산, 에너지가격 간 불균형오차의 조정속도 감소가 최종 에너지소비 변동성 축소의 주요 원인인 것을 확인할 수 있었다. 전자는 에너지효율 개선과 에너지 다소비 산업 비중 감소라는 산업구조 변화, 후자는 세 변수 간의 불균형오차 크기 감소 때문인 것으로 나타났다. 반면, 에너지소비에 있어 지속적인 난방수요의 확대는 최종 에너지소비의 변동성을 확대시킬 수 있는 잠재 요인임을 확인하였다. 이러한 실증결과들은 에너지효율을 높일 수 있는 기술 개발과 에너지 다소비 산업에서 저소비 산업으로 구조 전환의 가속화를 통해서 생산-에너지 원단위를 개선하고, 이상기온으로 인한 난방수요 확대에 대처하면 에너지소비의 안정화를 지속시킬 수 있다는 것을 시사한다. This paper investigates the volatility change of Korean energy consumption applying endogenous structural break analysis methods. Empirical results show that the energy consumption volatility in Korea has reduced by 50% after January, 2002. In the aspects of sector and energy source, the volatility of transportation, commerce?household, public energy consumption and petroleum has decreased. On the other hand, the volatility of coal and renewable energy has increased. The analysis indicates that industry, commerce?household, petroleum and heat energy consumption are the main sources of the volatility reduction. The weakened relationship between industry production and energy consumption is also found to reduce the volatility. Another important reason for the volatility reduction is the decrease of adjustment speed among energy consumption, industry production and energy price caused by the reduced size of disequilibrium error. These empirical results imply that improvement of energy efficiency and structural transition from energy intensive industry to energy efficient industry should be accelerated in order to maintain the stability of Korean energy consumption.

한국 가정부문의 직간접 에너지소비: 산업연관분석

박희천 ( Hi Chun Park ) 한국환경경제학회·한국자원경제학회(구 한국환경경제학회) 2013 자원·환경경제연구 Vol.22 No.3

상품 및 서비스 소비구조의 변경을 통해 에너지절약이 실현될 수 있기 때문에 가정부문의 간접 및 총 에너지소비를 추정할 필요가 있다. 가정부문의 직간접 에너지소비를 보다 정확히 추정하기 위해 본 연구는 기업과 소비자(가정부문) 간 석유제품 및 전력의 가격을 차별화하였다. 한국의 가정부문은 1995-2010년 기간 중 한국 1차 에너지소비 중 55% 이상을 소비하였다. 가정부문의 에너지소비 중 69% 이상이 간접 에너지소비였다. 따라서 가정부문의 직접뿐만 아니라 간접 에너지소비도 에너지절약의 대상이 되어야 한다. 전력 소비는 2009년 한국의 가정부문의 주 에너지소비가 되었다. 생활수준이 향상됨으로써 가정부문은 전력 원단위가 높은 상품과 서비스를 소비하게 되었다. 한국 가정부문이 소비하는 제품의 에너지 원단위가 낮아짐으로써, 에너지소비의 증가율이 감소하게 되었다. 반면에 한국 가정부문의 상품 및 서비스 소비구조는 에너지 다소비형으로 변경되어 오히려 에너지소비 증가를 가속시키는 결과를 초래함으로써, 구조효과는 악화되었다. 이에 따라 에너지정책은 에너지소비를 감소시키기 위해 소비자로 하여금 에너지 저소비형 재화와 용역을 소비하도록 유도하여야 한다. 에너지 저소비형 소비를 촉진시킬 수 있는 주요 수단인 에너지가격 현실화가 요구된다. As energy conservation can be realized through changes in the composition of goods and services consumed, there is a need to assess indirect and total household energy consumption. The Korean household sector was responsible for more than 55% of Korea`s total energy consumption in the 1995 to 2010 period. More than 69% of household energy consumption was indirect. Thus, not only direct but also indirect household energy consumption should be the target of energy conservation. Electricity consumption became in 2009 the main source of household energy consumption in Korea. Households consume more and more electricity intensive goods and services, a sign of increasing living standards. Decrease in energy intensities of products consumed by Korean households contributed greatly to reduce the increase in the total household energy consumption. However, switching took place towards more energy intensive products, thus the structure effect was negative. It is necessary to direct consumption and production towards much less energy intensive goods and services as to reduce energy consumption or its growth rate. The Korean government should readjust low energy and electricity prices to cost-reflective prices levels as these low prices are one of the main reasons for the consumption of more energy intensive products. This study differentiates prices of oil products and electricity between households and industries, as to allow more accurate estimation.