• 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 Energy Engineering
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• v.10 no.3
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• pp.233-242
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• 2001

This paper attempts to analyze the effects of promotion of natural gas vehicles (NGVs) on LNG storage facilities and load patterns, and to verify economic feasibilities of NGVs as a DSM (Demand-Side Management) strategy. For these purpose, we have established an econometric mode. Results from the model indicate that natural gas demand in transportation sector will increase continuously, having a 7.84% share in total natural gas demand in 2014. By this analysis, the increased use of NGVs can result in a decreased requirement on the volume of around 1.3 LNG tanks lower in 2014. Also, it shows that TDRs can be reduced by 0.4 for the city gas and by 0.15 for the total LNG in 2014. As a conclusion, we suggest that the promotion of NGVs may play an efficient role as a DSM strategy, and should be considered as a promising strategy to optimize the investment needs in LNG sector as well as an environmental protection measures. Lastly, we acknowledge that a transportation module in our model is based on a Korean government's NGVs promotion plan, not on a market function.

• Korean Journal of Construction Engineering and Management
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• v.6 no.2 s.24
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• pp.61-68
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• 2005

The analysis described in this paper indicate the existence of a correlationship for housing demand and water supply ratio. Using subjective statistical data for the trend of population on regional area, water supply ratio and the number of households, the paper examines the correlationship of forecasting factors for apartments in the ways in which the tendency of demands for apartments and water supply ratio have been analyzed within small and mediumsized city. Differences in the correlationship on the several scale of a city are also taken into account in the analysis. The summary table of the tendency for housing supplies, population and water supply ratio on each scale of a city was generated using data from LAIB. This study attempted to address certain factors that are measurable within a specified paradigm, in order to investigate the extent to which the expectation of apartment supplies can be estimated from the correlationship of water supply ratio. Therefore, it can be suggested that the limited scale of a city are set to maintain the correlationship for housing demands and water supply ratio.

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.49-77
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• 2021

This study uses a choice experiment approach to examine whether different types of feedstocks as well as other attributes such as the cost of bioethanol, bioethanol blending ratio, and government support policies affect consumers' biofuel preferences. We apply a standard conditional logit model, a mixed logit model (MLM), and individual coefficient estimation model (ICM) to estimate the parameters of the investigated attributes. The results show that people prefer domestic and non-food feedstock, along with tax exemption as a support policy. All the attributes show unobservable preference heterogeneity in the MLM and ICM. In particular, willingness to pay for attributes are higher in the genetically modified (GM) feedstock-unknown group than in the known one. We show the importance of using domestic and non-food feedstocks and managing GM feedstocks carefully to avoid consumer resistance when producing bioethanol in South Korea.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.132-144
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• 2023

European and American countries are actively promoting eco-friendly cars to reduce exhaust emissions from internal combustion engines. In Korea, the "4th Basic Plan for Eco-Friendly Vehicles" aims to promote eco-friendly cars by improving charging infrastructure, expanding incentive systems, and targeting the supply of 1.13 million eco-friendly cars by 2025. As rapid growth in the number of electric vehicles sold is expected, estimates are required of this growth and corresponding power demands. In this study, the authors used a growth model to predict future growth in the electric vehicle market and a previously derived electricity generation model to estimate corresponding power demands up to 2036, the target year of the "10th Basic Plan for Power Supply and Demand". The results obtained provide useful basic research data for future electric vehicle infrastructure planning.

• Proceedings of the KIEE Conference
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• 2006.11a
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• pp.213-215
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• 2006

우리나라와 같이 에너지자원이 없어 전량을 수입에 의존하여야 하는 나라에서는 에너지 소비절약이라고도 일컬어지는 고효율 기기의 보급에 많은 관심을 가져야 한다. 고효율기기의 사용은 전체적인 부하전력량을 줄여나가며, 한번 보급되면 계속 에너지를 감할 수 있고, 부하를 차단하여야 하는 불편도 적어지게 된다. 또한 기술개발로 인한 기기수출효과 및 다양한 효과가 있으므로 국가적으로는 커다란 이익이 될 수 있다. 따라서 고유가시대를 맞아 고효율 기기의 사용에 특히 많은 관심을 가져야 하며, 정부에서도 많은 관심을 가지고 있기도 하다. 본 논문에서는 전체 전력소비량의 20%이상을 차지하는 조명기기에서 고효율조명기기에 대해 확산 모형을 이용하여 보급상태를 분석해 보고자 한다.

• Journal of Korea Ship Safrty Technology Authority
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• s.32
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• pp.30-45
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• 2012

본 연구는 국내 보급을 위한 해양레저용 모터보트 개발을 목표로 하여 모터보트 개발 전과정에 대한 기반기술을 구축하고자 한다. 이번 호에서는 해양레저에 대한 국내외현황 및 보급을 위한 국내 선호도 조사결과, 개발선의 주요제원의 선정, 선형설계, 모형시험 및 특허출원에 대한 부분에 대해 기술하였다.

• The Journal of Information Technology and Database
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• v.2 no.2
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• pp.35-54
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• 1995

회계시스템에 데이타베이스시스템을 도입하는 연구의 주류는 데이타베이스 분야에서 개발된 데이타모형(data mood)을 이용한 회계 데이타모형의 개발에 있었다. 본 연구의 목적은 데이타베이스 분야에서 최근 개발되어 널리 보급되고 있는 객체지향 데이타모형을 적용한 회계 데이타모형(Object-oriented Accounting Data Model; OADM)을 개발하고 응용하는 데 있다. OADM은 회계시스템의 정보제공능력 제고 및 시스템통합의 과제를 해결하는 데 유용한 도구가 될 것이다. OADM은 데이타모형 관점에서 규명된 전통적 회계시스템의 본질을 모형화의 배경으로, REA 모델을 모형화의 기초로, 그리고 객체지향 데이타모형을 모형화의 도구로하여 개발된다. 회계 데이타모형화에 있어서 복합적인 회계데이타의 표현, 복합적이고 까다로운 회계처리절차의 데이타화, 타부문과의 연계, 회계시스템의 변경 및 확장 등의 제 문제점은 기존의 데이타모형으로는 해결하기가 어려우나 객체지향 데이타모형을 회계 데이타모형화에 도입함으로써 이러한 문제점을 해결할 수 있다. 본 연구와 관련한 후행 연구로는 활동중심 원가계산의 모형화, 예산시스템의 모형화 그리고 사무정보시스템의 모형화 등을 들 수 있다. OADM은 이러한 모형화의 기초로 이용될 수 있다. 모형의 실증분석도 가치 있는 미래연구로 본다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.10a
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• pp.170-171
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• 1999

대기 중 오염물질의 확산 및 미래의 예측을 위하여 대기확산모형을 많이 사용하고 있으며, 국내에서 사용하고 있는 대기확산모형의 대부분은 미국 EPA에서 보급하는 것을 사용하고 있다. 이 중에서 최근에 많이 사용하고 있는 단기모형으로는 기간과 지형이 고려되는 ISCST3 모형을 들 수 있다. 국내 모델의 사용에 있어서 가장 중요한 문제점은 모델의 검정과 보정을 위한 data의 부재를 들 수 있다.(중략)

• Proceedings of the Military Operations Research Society of Korea Conference
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• 2003.03a
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• pp.97-111
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• 2003