• Environmental and Resource Economics Review
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• v.30 no.4
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• pp.581-605
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• 2021

The purpose of this study is to provide basic data for improving energy efficiency by estimating the regional energy efficiency in Korea using the stochastic frontier approach beyond the energy intensity that has been traditionally used as an indicator of energy efficiency. In this paper, energy efficiency and energy intensity efficiency were estimated as a stochastic distance function from 1998 to 2018 for 16 cities and provinces in Korea. In addition, the robustness of energy efficiency according to the capital stock estimation methods which had been mixed in previous studies was reviewed. As a result of the analysis, there is a significant change in regional rankings according to the three energy efficiency indicators, so they should be used complementary to each other. Second, while the energy efficiency improved little by little over time, the energy intensity efficiency decreased slightly though. Lastly, energy efficiency by region according to the capital stock estimation method was not robust. Care must be taken in estimating capital stock, which is important in economic analysis.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1998.05a
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• pp.191-198
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• 1998

본 연구는 공공재의 사회적가치 추정에 있어, 다가오는 21세기 정보ㆍ통신의 시대 도래와 함께 그 중요성이 더욱 증대될 전력을 대상으로 사회적가치 평가를 공급지장비라는 척도로 삼고, 그 속성과 추정방법에 대한 조사연구를 수행하였다. 공급지장비의 크기는 공급지장 크기와 지속시간, 발생시점, 발생빈도, 사전경고 여부, 소비자속성의 함수로, 추정방법은 크게 간접추정법, 시장정보조사법, 가상상황평가법으로 구분하였고, 이들 방법의 유용성을 필요 자료량, 자료 처리비, 입증성 등에 대해 비교하였다.

• Environmental and Resource Economics Review
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• v.32 no.4
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• pp.267-292
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• 2023

In this paper, we estimate a time series model of energy demand in the industrial sector with an asymmetric response to energy prices. Including the asymmetric response to energy prices in the model strengthens robustness of the cointegration relationship and reduces the variation of the estimated coefficients across the estimating methods. We find that rising energy prices have a larger impact on energy demand than falling energy prices, with the largest impact occurring when energy prices rise to new highs. The estimation results are partially improved when using gross output rather than value added as a measure of production. Using single equation methods to estimate the asymmetric response model, the elasticity of gross output ranged from 1.05 to 1.09 and the elasticity of price-rise ranged from -0.48 to -0.56, which is similar to the results of international studies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.7
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• pp.1277-1282
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• 2016

In the next generation wireless communication systems, an energy harvesting from radio frequency signals is considered as a method to solve the lack of power supply problem for sensors. In this paper, we try to propose an efficient algorithm for simultaneous wireless information and power transfer in energy harvesting networks with channel estimation error. At first, we find an optimal channel training interval using one-dimensional exhaustive search, and estimate a channel using MMSE channel estimator. Based on the estimated channel, we propose a power allocation and splitting algorithm for maximizing the data rate while guaranteeing the minimum required harvested energy constraint, The simulation results confirm that the proposed algorithm has an insignificant performance degradation less than 10%, compared with the optimal scheme which assumes a perfect channel estimation, but it can improve the data rate by more than 20%, compared to the conventional scheme.

• The Journal of the Acoustical Society of Korea
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• v.29 no.2
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• pp.148-153
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• 2010

In speech signal processing, speech signal corrupted by noise should be enhanced to improve quality. Usually noise estimation methods need flexibility for variable environment. Noise profile is renewed on silence region to avoid effects of speech properties. So we have to preprocess finding voice region before noise estimation. However, if received signal does not have silence region, we cannot apply that method. In this paper, we proposed SNR estimation method for continuous speech signal. A Speech signal consists of Voice and Unvoiced Band in The MBE excitation model. And the energy of speech signal is mostly distributed on voiced region, so we can estimate SNR by the ratio of voiced region energy to unvoiced. We use the IMBE vocoder for the Voice or Unvoice band of segmented speech signal. Continuously we calculate the segmented SNR using that information and the energy of each band. And we estimate the SNR of continuous speech signal.

• Environmental and Resource Economics Review
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• v.17 no.3
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• pp.1-29
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• 2008

The goal of this study is to analyze the effects of the second energy tax reform of the transportation sector in Korea. For this purpose, we estimated the elasticities of energy demand(for gasoline, diesel and LPG) by using the ARDL(Auto-Regressive Distributed Lag) Model during the period of 1997 and 2005. We have the empirical results that the demand for diesel would decrease as much as of 382 million barrel per year and the demand for LPG would increase as much as of 20 million barrel per year since 2007. The second energy tax reform would also result in the decrease of 27,346 ton of air pollutants and 0.96 million ton of carbon dioxide per year. This shows that the second energy tax reform would have achieved its own policy goals by reducing energy demand and improving the quality of environment.

• Journal of the Korea Computer Industry Society
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• v.5 no.9
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• pp.1031-1042
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• 2004

A renewable energy resource data has the characteristic that its measurement value changes every moment. So the amount of primitive data which is produced by the change of time arevast. Therefore researches are needed for the construction of history database which can save and manage vast amount of history information of renewable energy resource data systematically, the estimation system of renewable energy resources. In this paper, to solve these problems, the estimation method of renewable energy resources is suggested. The method makes it possible to estimate momently changing data of the past systematically.

• KDI Journal of Economic Policy
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• v.21 no.1
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• pp.105-157
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• 1999

북한의 심각한 식량난 문제는 남한은 물론 국제사회의 커다란 관심사가 되어오고 있다. 식량난은 영양공급을 감소시킴으로써 노동생산성을 저하시키게 되고 결국 경제성장에도 부정적인 영향을 미치게 된다. 그러나 북한 식량난에 대한 대부분의 연구는 식량난 정도의 파악 혹은 지원이나 협력을 통한 해결방안의 모색에 머무르고 있을 뿐, 식량난의 경제적 파급효과에 대한 연구는 거의 없는 실정이다. 본 연구는 1995년 이후 북한이 겪고 있는 심각한 식량난으로 인하여 북한주민의 에너지 섭취량이 어느 정도 저하되어 있는가를 파악하고, 이러한 에너지 섭취량의 저하가 노동생산성에 어떠한 여향을 미치고 있는가를 추정하고 있다. 추정결과에 의하면, 1997년 현재 북한주민의 하루 평균 에너지 섭취량은 1,600kcal 수준으로 1994년에 비하여 약 20% 감소되었으며, 이는 노동생산성과 생산량을 약 13% 저하시킨 것으로 나타났다. 이러한 추정결과는 남한이나 중국의 경우와 비교한 결과 설득력이 있는 것으로 나타났다. 한편 이 기간중 북한 경제규모 축소의 약 30%는 에너지 섭취량의 감소에 따른 노동생산성의 저하에 기인하는 것으로 추정되었다.

• New & Renewable Energy
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• v.2 no.1 s.5
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• pp.72-81
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• 2006

산업자원부가 발표한 "수소경제 실현을 위한 장기 로드맵"을 근거로 본 연구에서는 우리나라에 연료전지 산업이 도입되었을 경우에 국내총산출의 변화 정도를 추정하였다. 동 계획에 따르면 2020년까지는 기술개발단계이며, 2020$\sim$2030년은 도입단계이며, 2030년부터는 상용화단계이다. 이를 토대로 우리나라의 경제성장률 전망, 산업구조 변화 전망 등 관련 정보들을 이용하면서 산업연관분석과 KEO-RAS법을 이용하여 연료전지가 수송용과 발전용에 보급된다는 계획이 추진되었을 2010년, 2020년, 2030년의 산업연관표를 추정한 후 국민경제 전체의 산출의 변화를 추정하였다. 그 결과 2020년경에는 약 0.6%, 2030년경에는 약 0.9%의 국내 총산출 효과를 유발할 것으로 추정되었다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.4
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• pp.63-70
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• 2011

In this paper, we proposed a method for estimating energy expenditure using the unfixed axis of the accelerometer. Most studies adopted waist-placement because of the fact that the waist is close to the center of mass of a whole human body. But we adopted pocket-placement, which is capable of using unfixed axis of sensor, that is more convenient than conventional methods. To evaluate the proposed method, 28 male subjects performed walking and running on a motor driven treadmill. All of subject put on the indirect calorimeter and fixed accelerometer, then data were simultaneously measured during exercise. The regression analysis was performed using the test group(n=20) and the regression equation was applied to the control group(n=8). A strong linear relationship between energy expenditure and unfixed accelerometer signal was found. Futhermore, the coefficient of determination was significantly reliable($R^2$=0.98) and showed zero of p-value. The error of energy expenditure estimation between indirect calorimeter and two types of accelerometer was 15.0%(fixed) and 17.0%(unfixed) respectively. These results show the possibilities that the unfixed accelerometer can be used in estimating the energy expenditure during exercise.