• 한국방재안전학회논문집
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• 제16권4호
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• pp.75-84
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• 2023

대다수의 개발도상국은 물수급 계획을 위한 수문 자료 부재로 장기유출량 산정이 불가능하며, 물 분배 의사결정을 진행하는데 합리적인 물수급 계획을 수립하기가 어려운 상황이다. 연구대상지역인 인도네시아 반둥지역은 급격한 도시화 및 인구집중으로 심각한 상수부족 상황이며 물수지 예측 방안이 구축되어 있지 않아 상수도 보급률이 약 20% 정도 수준이다. 이에 본 연구에서는 개발도상국에서의 물수지 예측접근방안을 제시하기 위해 MODSIM(Modified SIMYLD) 네트워크 모형 활용한 이수안전도 및 용수공급 가능량을 분석하였다. MODSIM 모형의 적정성을 검토하기 위해 비유량법을 적용하여 Pataruman 관측소의 19개년(2002~2020년) 유출량 자료를 기준으로 장기유출량을 산정하고 물수지 분석을 수행하였다. 분석결과 기존 월별 최적운영곡선과 일치하는 것을 확인할 수 있었다. 발전소의 발전용량을 분석한 결과 0.30~0.50% 정도 차이가 났으며, Pataruman 지점 이수안전도는 Q95% 유량 기준 1.64%, Q355 유량 기준 0.47% 높게 나타났다. 기존 저수지 최적운영곡선과 비교한 운영효율이 1% 내외로 유사하게 계측되어, 이를 통해 MODSIM 네트워크 모형을 이용한 용수공급 평가 가능성과 용수공급시설의 필요성을 확인할 수 있었다.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2005년도 학술발표논문집
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• pp.26-31
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• 2005

In national prospective, the needs to develop water resources has been increased due to water shortage from diverse use of water resources in agricultural areas. Existing agricultural water demand, which has mainly been limited to the use of farming, are now expanding to diverse water uses such as supporting daily lives, diluting environmental pollution as well as industrial use for agricultural complex currently under construction in agricultural region. In this situation, for the sake of effective procurement of water resources and supply method, it is definitely required to enhance the effectiveness of budget investment and project proceedings through integrated re-development which links projects to strengthen existing dams, reservoirs and hydraulic facilities. The major scopes of this research includes developing different types of system such as selecting potential sites to re-construct reservoirs including generating base maps and thematic maps, data collection regarding water demands and reservoir status; analyzing reservoir data; estimating developable capacity and index calculation; and forecasting inundated areas. In addition, this study provides other products such as developing output generation system which can support wide use of data built and analyzed; database generation for better data management; data analysis including selection, extraction, indexation, and calculation of base items through standardization; data security system prohibiting exterior proliferation and malicious manufacturing of data.

• KIEE International Transactions on Power Engineering
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• 제5A권4호
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• pp.331-338
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• 2005

In this paper, an improved maintenance scheduling approach suitable for the competitive environment is proposed by taking account of profits and costs of generation companies and the formulated combinatorial optimization problem is solved by using Reactive Tabu search (RTS). In competitive power markets, electricity prices are determined by the balance between demand and supply through electric power exchanges or by bilateral contracts. Therefore, in decision makings, it is essential for system operation planners and market participants to take the volatility of electricity price into consideration. In the proposed maintenance scheduling approach, firstly, electricity prices over the targeted period are forecasted based on Artificial Neural Network (ANN) and also a newly proposed aggregated bidding curve. Secondary, the maintenance scheduling is formulated as a combinatorial optimization problem with a novel objective function by which the most profitable maintenance schedule would be attained. As an objective function, Opportunity Loss by Maintenance (OLM) is adopted to maximize the profit of generation companies (GENCOS). Thirdly, the combinatorial optimization maintenance scheduling problem is solved by using Reactive Tabu Search in the light of the objective functions and forecasted electricity prices. Finally, the proposed maintenance scheduling is applied to a practical test power system to verify the advantages and practicability of the proposed method.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.1-9
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• 2022

The study aims to determine the factors and their influence on the income from using public agricultural land of households. Public agricultural land is agricultural land, including land for growing annual crops, perennial crops, and land for aquaculture, leased by commune-level People's Committees with a lease term of not more than 5 years. Secondary data were collected for the 2017-2021 period at state agencies. Primary data were collected from a survey of 150 households renting public agricultural land. The regression model assumed that there were 28 factors belonging to 7 groups. The test results show that 25 factors affect income, and 03 factors do not. The group of COVID-19 pandemic factors has the strongest impact, followed by the groups of agricultural product market factors, land factors, capital factors, production cost factors, labor factors, and climatic factors. The impact rate of COVID-19 pandemic factors is the largest (23.00%); The impact rate of climatic factors is the smallest (6.04%). Proposals to increase income include good implementation of disease prevention and control; increasing the land lease term; accurately forecasting the supply and demand of the agricultural market; raising the level of the household head; ensuring sufficient production capital, and adapting to the climate.

• 한국주거학회논문집
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• 제25권5호
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• pp.1-10
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• 2014

In the upcoming 21st century, we predict change and development in various aspects. Some fundamental causes of change in housing lifestyles such as the change in family make-up are gradually becoming more and more realistic problems as the society is shifting to the younger generation family make up refer to the rapid increase of the agedpopulation, growth of single households, the drop in the number of family members, the change in the economic situation and technology level, and change in values. The purpose of this research is to, more away from the standardized supply of housing and to approach apartment housing plans in multilateral aspects, compare and analyze the difference between the housing demands of different generations and the influence that the current housing type has on demand forecasting by case studies of Unit Living Space planning that we will utilize the participating design method in which parents and children took part in.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.371-375
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• 2008

최근 우리나라 주택 시장은 잦은 정책 변화 등 내부적 요소와 해외 경제 환경 변화 등 외부적 요소에 의해 예측할 수 없는 상황이 계속되고 있다. 특히 미래 주택 시장에 대한 가격, 수요, 공급을 예측하는 데에 있어 어려움을 겪고 있다. 이에 따라 주택 시장 변화에 대한 다양한 분석이 이루어지고 있으나 부분적이고 단편적인 시각이 주를 이루고 있어, 인과관계에 따른 주택시장을 분석할 수 있는 시스템적 논리의 필요성이 대두되고 있다. 따라서 본 연구에서는 주택의 수요와 공급에 의해 결정되는 주택시장의 기본 원리를 바탕으로 시스템 다이내믹스(System Dynamics)를 이용한 주택 시장 작동 원리를 작성하여, 내 외부 환경변화에 따른 주택 시장의 영향을 파악할 수 있는 기본 모형을 구축하고자 한다.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 1997년도 제12회 동계학술발표회 논문집
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• pp.177-196
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• 1997

The engineering industry plays an important role for national competitive, since it has an high impact on other industries. With its importance, the engineering industry development largely depends on its technical manpower ather than capital factor. This study aims at estimating the additional requirement on technical manpower based on the forecasted market size which represents the structure change corresponding to economic growth in related industry. Research scope includes the twelve of fifteen field except three with insufficient historical data and technical manpower above bachelor degree. Specialty, we forecast market size with determinants resulted from historical data analysis on each field. The demand on technical manpower is derived from the forecasted market. We also estimate an additional requirement with the supply analysis. The research results show different patterns over time period. The relative ratio on chemical and construction to total market will steadily grow over short term, while applied, environment, electronic and information will rapidly grow This pattern will be stabilized over mid or long term. The additional requirement on technical manpower represents the similar pattern to market growth. The research result implies manpower policy for having high inflow of technical engineer from educational institute and the related industries through the image improvement.

• 한국인터넷방송통신학회논문지
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• 제19권2호
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• pp.187-192
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• 2019

수요관리와 정전에 대한 비상전원 기능을 갖춘 하이브리드 전력저장시스템으로 비상발전설비가 필요한 빌딩 및 공장건축 시에 투자비를 최소화하고, 상시 전력비를 절감함으로서 경제성을 확보할 수 있 기술을 개발함으로써 새로운 비즈니스 모델을 제시한다. 평상시에 STS(Static Transfer Switch)를 통해 부하에 계통 전력을 공급하고 PCS는 계통에 병렬로 연계되어 수요관리를 수행한다. EMS는 수요예측을 통한 전력의 효율적 운용을 위해 ESS에 충방전 지령을 PMS(Power Management System)로 하달하고 PMS는 다시 PCS 제어기로 지령을 전달하여 시스템을 운용한다. 정전시에는 STS가 계통으로부터 빠르게 이탈되면서 PCS는 독립 전원이 되어 부하 측에 정전압/정주파수의 전력을 공급할수 있는 구조이다. 따라서 하이브리드 ESS에 대한 실 계통 연계 및 독립 운전 성능 검증을 통한 신뢰성을 확보할수 있고, 저탄소 녹색성장 기술의 효율적 전력망과 연계 운영이 가능하게 함으로써 ESS 연계를 통한 신재생에너지 발전에 의한 불규칙한 전력 품질개선, 피크부하 기여도 제고가 가능하다. 또한 현재 석탄 화력이 담당하고 있는 주파수추종 예비력을 ESS로 대체함에 따라 연료비가 높은 LNG 발전기 가동비용을 절감할 수 있는 기대효과가 있다.

• 지역연구
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• 제8권1호
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• pp.31-50
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• 1992

The aim of this paper is to define major factors influencing land development of each of major uses (residential, commercial, industrial) in the process of rapid urban expansion. The main hypothesis of this study is that land use changing patterns are directed by supply side of land managed to public policies rather than demand side. The graphic analysis is applied to relationships between urban growth and land development process of each use and between land development project managed to public policies and land development process. Public and land development projects and zonning protection seem to be major roles of land supply and main determinants of urban spatial structure. Location factors for land development of each uses are selected in 23 variables. Factor analysis is applied to test correlation between variables in 1971 and 1981. Factor structure between two years is similar, but progressive processing of functional separation is derived such as intensive land use is grouped, different location between residential and industrial use is deep. Dependent variables are standardized to logarithm of land development of each use per unit vacant land in two periods, between 1971 and 1980 year and between 1981 year. Correlation analysis between 6 dependent variables and 23 location factors in each years are applied. Major factors of each use are selected in criteria such as high correlation with dependent variables, low correlation between independent variables and common application in two periods. As the result, major factors for residential land development are Land Readjustment Project (LRP), percent of total zoned area in residential zone, residential floor space density per available area, percent of total area in industrial use; for commercial development is distance to CBD, percent of total area in commercial use, residential floor space density per available area in each year, and volumn rate of industrial use; for industrial use is percent of total area of industrial use is percent of total area of industrial use, Industrial Estate Project (IES), LRP, and distance from CBD. Land development pattern of each use between two periods are slightly different. So 6 equation is derived from appling backward method of regession. Adjusted multiple R squares of all is more than 0.5 and those equation is statistically significant and valuable to assist urban land use forecasting.

• International journal of advanced smart convergence
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• 제7권1호
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• pp.42-47
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• 2018

Recently, as the demand for limited resources continues to rise and problems of resource depletion rise worldwide, the importance of renewable energy is gradually increasing. In order to solve these problems, various methods such as energy conservation and alternative energy development have been suggested, and biogas, which can utilize the gas produced from biomass as fuel, is also receiving attention as the next generation of innovative renewable energy. New and renewable energy using biogas is an energy production method that is expected to be possible in large scale because it can supply energy with high efficiency in compliance with energy supply method of recycling conventional resources. In order to more efficiently produce and manage these biogas, a biogas plant has emerged. In recent years, a large number of biogas plants have been installed and operated in various locations. Organic wastes corresponding to biogas production resources in a biogas plant exist in a wide variety of types, and each of the incoming raw materials is processed in different processes. Because such a process is required, the case where the biogas plant process is inefficiently operated is continuously occurring, and the economic cost consumed for the operation of the biogas production relative to the generated biogas production is further increased. In order to solve such problems, various attempts such as process analysis and feedback based on the feedstock have been continued but it is a passive method and very limited to operate a medium/large scale biogas plant. In this paper, we propose "CNN-based production yield prediction algorithm for increasing process efficiency of biogas plant" for efficient operation of biogas plant process. Based on CNN-based production yield forecasting, which is one of the deep-leaning technologies, it enables mechanical analysis of the process operation process and provides a solution for optimal process operation due to process-related accumulated data analyzed by the automated process.