• Environmental and Resource Economics Review
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• v.18 no.4
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• pp.637-652
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• 2009

We measure and compare inducements of energy consumption in different industry sectors using inter-industry input and output tables of 1995, 2000 and 2005. We also compute the multiplier effects that relate to the directions of future economic effects. Key Findings are as follows. First, we observe continues decreasing linkage effects in all industries over period of 1995 to 2007. Second, backward multiplier of energy consumption were highest in the material related industry and chemical industry. As for inter-industry inducements, the indirect backward multipliers were high in the other industry. Third, the forward multiplier effect of energy consumption were as same as the backward multiplier effect's sectors. The indirect forward multipliers, however, were highest in the material related industry and chemical industry. The above findings show that since implementing pro-environmental policy in 2000s, the industries structure for reducing energy consumption has been transformed.

• Korea Petroleum Association Journal
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• no.7 s.207
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• pp.4-7
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• 1998

에너지 소비를 줄이기 위해서 세금을 올리자고 한다. 세금이 오르면 가격이 오르고 높은 가격은 소비를 위축시킨다. 하지만 세금으로 수요를 조절하려는 방안은 아주 위험 할 수도 있다.

• Journal of Energy Engineering
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• v.1 no.1
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• pp.39-45
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• 1992

현재 우리가 살고 있는 지구는 에너지 공급불안과 환경오염이라는 두 가지의 큰 문제에 직면하게 될 것이다. 1974년 이후 두 차례의 석유파동을 거치면서 에너지 소비절약에 힘입어 전세계적으로 석유류의 소비증가가 다소 둔화되고 가격도 하락되고 있으나, 중장기적으로 본다면 세계경제의 성장 및 인구의 증가 그리고 개발도상국의 공업화에 따른 에너지의 소비증가로 석유류의 부족현상은 다시 재현될 것으로 예상된다. (중략)

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.825-848
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• 2022

This paper analyzed the factors for increasing energy consumption in the domestic manufacturing sector using the LMDI (Log mean division index) decomposition method for the period from 1999 to 2019. Among the LMDI decomposition analysis methods, both additive and multiplicative factor decomposition methods were used. in this analysis. According to the result of the analysis, the factor that increased energy consumption in the domestic manufacturing industry was the production effect, and the structure effect and intensity effect were found to be the factors that decreased energy consumption. In particular, the reduction of energy consumption due to the structure effect was greater than that of energy consumption effect due to the intensity effect. By period, it can be seen that energy consumption increased rapidly due to the production effect until 2011, but after that, the increase in energy consumption due to the production effect slowed down. On the other hand, after that, the energy reduction effect due to the structure effect and the intensity effect became prominent. In order to save energy in the manufacturing sector in the future, energy diagnosis and management through EMS (Energy management system) and FEMS (Factory energy management system) are more necessary. In addition, restructuring into a low-energy consumption industry seems more necessary.

• Proceedings of the KHMA Conference
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• 2010.05a
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• pp.337-337
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• 2010

• Proceedings of the KIEE Conference
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• 2008.11a
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• pp.203-205
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• 2008

전기철도의 에너지 소비형태를 다른 수송기관과 비교해 보면 에너지 소비 분담을 측면에서 약 8% 정도를 차지하고 있으나, 수송 분담율은 약 30%이상을 점유하고 있으며, 화물의 경우 수송량의 5%를 담당하고 있지만 에너지 소비는 약 1%미만으로 에너지 효율성이 높은 것으로 나타났다. 그러나 기존의 방법으로 에너지 소비에 대한 효율성을 비교 하는 것은 에너지 소비원이 다르기 때문에 문제가 있어 본 연구에서는 원유로부터 환산하는 효율 계산방법과 필요 에너지, 유효에너지 즉, 'exergie'에 의한 평가 방법을 제안하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.793-798
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• 2010

In this paper we propose a low-power walking compensation method for biped robot based on consumption energy analysis. Firstly, basic walking motions that can reduce energy consumption of robot movements are implemented based on consumption energy analysis according to robot axes. We define knee bent motion as a basic walking motion. It can improve energy consumption and motion stability by lowering center of gravity of the biped robot. We analyze consumption energy of left and right leg of the robot using motor currents and propose a compensation method of walking motions to reduce unbalance of consumption energy between left leg and right leg. It can also improve energy consumption and walking stability of the robot. The proposed low-power compensation method based on consumption energy analysis is verified by walking experiments of a small biped robot with an embedded system.

• Environmental and Resource Economics Review
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• v.19 no.2
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• pp.215-242
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• 2010

This study constructs a bayesian neoclassical DSGE model that applies oil usage. The model includes technology shocks, oil price shocks, and shocks to energy policies as exogenous driving forces. First, this study aims to analyze the roles of these exogenous shocks in the Korean business cycle. Second, this study examines the effects of long-term changes in the energy consumption structure, including the reduction in oil use as a share of energy consumption and improvement in oil efficiency. In the case of oil price shocks, results show that these shocks exert recessionary pressure on the economy in line with those obtained in the previous literature. On the other hand, shocks to energy policies, which reduce oil consumption per capital, result in opposite consequences to oil price shocks, decreasing oil consumption. Also, counterfactual exercises show that long-term changes in the energy consumption structure would mitigate the contractionary effects of oil price shocks.

• Proceedings of the Membrane Society of Korea Conference
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• 1994.06a
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• pp.1-31
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• 1994

국내 에너지 수급여건 : 에너지소비증가율이 경제성장율을 상회하는 비효율적 에너지 소비구조가 지속 에너지의 불안정한 수급구조 장가화 추세 -세계 11위 에너지수입국, 세계2위 석유소비 증가세 시현('92) -에너지수입 의존도 : 95% 수준 -화석에너지 의존도 : 85% 상회 (OECD 평균 65% 수준) -고급에너지 수요의 상대적 고증가율 지속 (전력, 가스) -에너지수입액의 총 수입액중 비중증가 : '91년 15.1% $\to$ '93년 18.0%

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.4
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• pp.774-784
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• 2009

A wireless sensor network consisting of a large number of nodes with limited battery power should minimize energy consumption at each node to prolong the network lifetime. To improve the sensitivity of wireless sensor networks, an efficient scheduling algorithm and energy management technology for minimizing the energy consumption at each node is desired. ill this paper, we propose energy-aware routing mechanism for maximum lifetime and to optimize the solution quality for sensor network maintenance and to relay node from its adjacent cluster heads according to the node"s residual energy and its distance to the base station. Proposed protocol may minimize the energy consumption at each node, thus prolong the lifetime of the system regardless of where the sink is located outside or inside the cluster. Simulation results of proposed scheme show that our mechanism balances the energy consumption well among all sensor nodes and achieves an obvious improvement on the network lifetime. To verify propriety using NS-2, proposed scheme constructs sensor networks adapt to current model and evaluate consumption of total energy, energy consumption of cluster head, average energy dissipation over varying network areas with HEED and LEACH-C.