• Journal of Energy Engineering
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• v.17 no.1
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• pp.31-37
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• 2008

At present, the target amount of demand-side management and investment cost of EE (Energy Efficiency) program, which consists of high-efficiency appliances, has been estimated simply by the diffusion function based on the real historical data in the past or last year. In the internal and external condition, the penetration amount of each appliance has been estimated by Bass diffusion model which is expressed by time and three coefficients. And enough acquisition of real historical data is necessary for reasonable estimation of coefficients. In energy efficiency, to estimate the target amount of demand-side management, the penetration amount of each appliance should be primarily forecasted by Bass diffusion model in Korea. On going programs, however, lightings, inverters, vending machine and motors have a insufficient real historical data which is a essential condition to forecast the penetration amount using a Bass diffusion model due to the short period of program progress. In other words, the forecast of penetration amount may not be exact, so that it is necessary for the method of forecast to apply improvement of method. In this paper, the penetration amount of high-efficiency appliances is forecasted by Bass, virtual Bass, Logistic and Lawrence & Lawton diffusion models to analyze the diffusion progress. And also, by statistic standards, each penetration is compared with historical data for model suitability by characteristic of each appliance. Based on the these result, in the forecast of penetration amount by diffusion model, the reason for error occurrence caused by simple application of diffusion model and preferences of each diffusion model far a characteristic of data are analyzed.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.5
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• pp.461-466
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• 2013

In this paper, main mechanism and measurement method of energy consumption for machine tools are investigated by experiment and simulation. To evaluate total energy consumption of the machine tools, standard test workpiece and measuring method and test procedures are suggested. And, improvement of energy consumption evaluation by the motion kinematics theory is used. In addition, to estimate energy consumption of machine tools in design process, mass distribution of the structure and 5 axis motions are investigated and simulated by numerical analysis.

• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.506-510
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• 2012

This study suggested an improved algorithm of urban energy consumption estimation on the urban planning stage which concerns calculation accuracy. The results are as follows. (1) Urban energy consumption was estimated and managed per unit space using E-GIS DB which contains facility information per mesh. (2) Urban energy consumption was reflected by the urban facility classified and standardized by the characteristics of energy use. (3) Calculation accuracy of energy consumption was approached by separately suggested as summer algorithm reflecting urban heat island on summer energy use and winter algorithm reflecting heating system normally used in Korea.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.15 no.4
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• pp.287-293
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• 2003

This study examined the temperature-dependent regression model of energy consumption based on various measuring period. The methodology employed was to construct temperature-dependent linear regression model of daily energy consumption from one day to three months data-sets and to compare the annual heating energy consumption predicted by these models with actual annual heating energy consumption. Heating energy consumption from a building in Daejon was examined experimentally. From the results, predicted value based on one day experimental data can have error over 100%. But predicted value based on one week experimental data showed error over 30%. And predicted value based on over three months experimental data provides accurate prediction within 6% but it will be required very expensive.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1054-1056
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• 2016

As energy consumptions of smartphone increase, many smartphone users suffer from the lack of energy. Thus, many researches have been studied to save energy consumed in smartphone. To avoid inconvenience from the battery depletion, we first propose a remaining energy prediction model derived from the analysis on energy consumption pattern. Based on the model, we propose the energy efficient data transmission method for delay-tolerant applications.

• Journal of Energy Engineering
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• v.8 no.1
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• pp.48-58
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• 1999

지속 가능한 개발을 위해서는 환경영향을 최소화하고 능률이 높은 에너지의 활용을 위한 기존 기술의 개선과 신기술의 창출이 필요로 하다. 이 논문에서는 현재 진행중인 화력발전기술 및 원자력발전기술의 연구개발 현황과 앞으로의 전마을 평가예측하고 기술개발에 있어서 중요한 과제를 어떻게 해결해야 하는가를 제시한다. 또한 대체에너지기술개발의 현황을 평가하고 앞으로의 개발 가능성을 분석한다. 에너지의 운송과 배분 및 저장 기술 중 주목을 끌고 있는 연구개발 사업을 평가하고 최종수요자가 사용하는 에너지소비기술개발에 있어서 주어진 과제들을 분석평가하고 앞으로의 성취 가능한 기술개발 목표를 제시하였다.

• The Magazine for Energy Service Companies
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• s.69
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• pp.26-29
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• 2011

우리나라에서 사용하는 총에너지의 97%를 해외에 의존하고 있으며, 총에너지의 약 30%를 건물에서 소비하고 있다. 건물에서의 에너지절약 및 효율적 관리가 우리나라 정책방향인 저탄소 녹색성장에 크게 기여하리라는 것은 쉽게 예측할 수 있다. 최근 국내에서 건물의 효율적인 관리를 위하여 BEMS(Building Energy Management System)가 도입되고 있는 실정이다. 본고에서는 저탄소 녹색성장에 기여할 수 있는 건물에너지관리시tm템인 BEMS의 기술개발 현황과 그 동향에 대해 알아보기로 한다.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2002.11a
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• pp.271-280
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• 2002

최근 우리나라 전력수급 환경은 전력수요의 지속적인 성장과 더불어 입지 및 환경문제, 전력설비 건설, 재원조달, 전력산업의 경쟁효율성 문제 등 새로운 문제들에 직면하고 있다. 또한 전력사업이 한국전력의 독점체제에서 발전, 송전, 배전으로 분할되고 경쟁체제로 변함에 따라 여러 가지 새로운 문제들에 직면하고 있다. 전력설비의 건설에 따른 투자는 사업기간이 길고 많은 비용이 소요됨으로 전력수요에 대한 정확한 예측이 무엇보다 중요하다.(중략)

• Solar Energy
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• v.13 no.2_3
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• pp.37-44
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• 1993

건물의 외부에 차양을 설치하는 것은 건물이 갖는 냉방부하를 줄일 수 있는 중요한 요인이 된다. 외부차양의 효율성은 차양의 형태, 크기, 태양의 경로, 건물의 방향등과 같은 요소에 의해 결정 지어진다. 그러나, 이러한 요소들이 서로 동적으로 상호 관련 되어 있기 때문에 외부차양에 의한 그림자 투영은 예측하기 힘들고, 따라서 냉방부하가 얼마만큼 감소되는지는 더욱더 예측이 어려워진다. 이 논문은 디자이너가 직접 외부차양을 컴퓨터 그래픽으로 디자인 함과 동시에 그림자 투영을 시각화 할 수 있는 프로그램 개발을 위한 연구이다.

• 한국신재생에너지학회:학술대회논문집
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• 2007.06a
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• pp.721-724
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• 2007

Estimating of LFG emission rate has been well established. But, relatively short history of LFG extraction in Korea, the data and the formular have not been well compared and analyzed. Here, even though the operation period of extraction for Daegu Bangcheon-ri is short, the relevant correlation between estimated and the actual has been tried to find. Hopefully, this will be a guideline for the future LFG forecasting.