• Title/Summary/Keyword: site feasibility

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Reassessment of Economic Feasibility for a Wind Farm on Jeju Island Considering Variable Jeju SMP (변동 제주 SMP를 적용한 제주도 육상풍력단지의 경제성 재평가)

  • Kim, Hyo-Jeong;Ko, Kyung-Nam;Huh, Jong-Chul
    • Journal of the Korean Solar Energy Society
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    • v.33 no.5
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    • pp.41-50
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    • 2013
  • Economic feasibility study using weighted average variable Jeju System Marginal Price, SMP, was conducted for Gasiri wind farm of Jeju Island. To predict the variable Jeju SMP, generator share ratio for SMP was calculated from the real time wind power production and the power demand data for years. Also, sensitivity analysis on Net Present Value, NPV, and Benefit/Cost Ratio, B/C ratio, were performed to clarify which factors are more important in assessing economic feasibility. The result shows that the Gasiri wind farm has a minimum of 110 billion won and a maximum of 132 billion won difference between fixed and variable SMP. Also, Capacity Factor, C.F., had the highest sensitivity for NPV, followed by SMP. Accordingly, when economic analysis for a potential wind farm site is carried out, the variable SMP as well as C.F. should be considered for more accurate assessment of the wind farm.

Analyzing of Solar Power Generation Cost-Benefit Using Idle Sites(Parking Lot & Rooftop): Focusing on Environmental Benefit and Social Benefit (주차장·옥상 유휴부지를 활용한 태양광발전 비용편익 분석: 환경·사회 편익 중심으로)

  • Ko, Hyung-Do;Kim, Jeong-In;Ahn, Kyoung-Jin
    • Asia-Pacific Journal of Business
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    • v.13 no.2
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    • pp.139-154
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    • 2022
  • Purpose - This study aims to analyzing of solar power generation cost-benefit. Design/methodology/approach - We analyzed whether there is economic feasibility by selecting parking lots and idle sites located in four areas of Seoul, Gyeonggi, Chungcheong, Jeolla, and Gyeongsang areas nationwide, and analyzing site conditions and installation capacity. Findings - According to the results of the analysis, it was found that there is low profitability in Seoul, Gyeonggi and Chungcheong regions, where the solar radiation was not excellent even if REC is selected through the contract market. However, it is necessary to analyzed the economical validity the profitable validity including environmental benefits (greenhouse gas reduction, NOx, SOx reduction effect) and social benefits (renewable power supply) that is analyzed by income and operating costs which is occurred from electricity sales and REC sales when installing solar power generation facilities. Research implications or Originality - In this study, economic feasibility was evaluated additionally in consideration of environmental and social benefits. In conclusion, it was shown that businesses are not economical when considering only simple financial aspects are also sufficiently economical when it is considering environmental and social benefits.

Classification of Construction Worker's Activities Towards Collective Sensing for Safety Hazards

  • Yang, Kanghyeok;Ahn, Changbum R.
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.80-88
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    • 2017
  • Although hazard identification is one of the most important steps of safety management process, numerous hazards remain unidentified in the construction workplace due to the dynamic environment of the construction site and the lack of available resource for visual inspection. To this end, our previous study proposed the collective sensing approach for safety hazard identification and showed the feasibility of identifying hazards by capturing collective abnormalities in workers' walking patterns. However, workers generally performed different activities during the construction task in the workplace. Thereby, an additional process that can identify the worker's walking activity is necessary to utilize the proposed hazard identification approach in real world settings. In this context, this study investigated the feasibility of identifying walking activities during construction task using Wearable Inertial Measurement Units (WIMU) attached to the worker's ankle. This study simulated the indoor masonry work for data collection and investigated the classification performance with three different machine learning algorithms (i.e., Decision Tree, Neural Network, and Support Vector Machine). The analysis results showed the feasibility of identifying worker's activities including walking activity using an ankle-attached WIMU. Moreover, the finding of this study will help to enhance the performance of activity recognition and hazard identification in construction.

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Selection method of public transportation vulnerable area using GIS buffering analysis (GIS Buffering기법을 이용한 대중교통취약지구 선정방법)

  • Kim, Yeon-Woong;Chang, Sung-Bong;Jang, Gwang-Woo;Park, Min-Kyu
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1739-1742
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    • 2011
  • Public transportation network in our country is concentrated and advanced focusing on urban area in order to secure economic feasibility. As a result, as dependence on private vehicles is relatively getting higher in public transportation vulnerable area, traffic problem occurs since the average running speed in urban area is 22.5km/h. This paper has an objective to suggest an improvement plan by selecting public transportation vulnerable area, and defining according to urban structure, formation and function, and understand traffic characteristics and draw problems. As a method selecting public transportation vulnerable area, an area with high division rate of vehicle was selected as a primary proposed site by calculating division rate of means of public transportation according to area. Final proposed site was selected by using GIS Buffering technique aiming at selected proposed site, and selecting non-benefit area 500m outside, which is the road limit distance from each subway and bus station. Lastly, the degree of improvement effect was studied by constructing imaginary public transportation network aiming at final proposed site and comparing to the amount of change in division rate of means of transportation.

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Economic Evaluation of Domestic Low-Temperature Water Electrolysis Hydrogen Production (국내 저온수전해 수소생산의 경제성 평가)

  • Gim, Bong-Jin;Kim, Jong-Wook;Ko, Hyun-Min
    • Transactions of the Korean hydrogen and new energy society
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    • v.22 no.4
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    • pp.559-567
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    • 2011
  • This paper deals with an economic evaluation of domestic low-temperature water electrolysis hydrogen production. We evaluate the economic feasibility of on-site hydrogen fueling stations with the hydrogen production capacity of 30 $Nm^3/hr$ by the alkaline and the polymer electrolyte membrane water electrolysis. The hydrogen production prices of the alkaline water electrolysis, the polymer electrolyte membrane water electrolysis, and the steam methane reforming hydrogen fueling stations with the hydrogen production capacity of 30 $Nm^3/hr$ were estimated as 18,403 $won/kgH_2$, 22,945 $won/kgH_2$, 21,412 $won/kgH_2$, respectively. Domestic alkaline water electrolysis hydrogen production is evaluated as economical for small on-site hydrogen fueling stations, and we need to further study the economic evaluation of low-temperature water electrolysis hydrogen production for medium and large scale on-site hydrogen fueling stations.

A study on the Feasibility Analysis factor Model for Housing Development Projects (주택개발사업의 사업성분석인자 모델에 관한 연구;사업성 분석인자의 중요도 분석 및 타당성 검증을 증심으로)

  • Hong, Yeong-Geon;Kim, Young-Ai;Kim, Yong-Su
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.249-254
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    • 2007
  • The main bodies of housing markets of today need to carry out a systematic and objective feasibility analysis even from the step of planning in order to succeed in a diverse and complex market environment. Therefore, it is meaningful to understand this housing market environment and propose a necessary model for the feasibility analysis of hosing business. In this vein, the aim of this study was to extract an actual and practical feasibility analysis factor and its importance for housing market, and then present and apply a feasibility analysis factor model to an on-site example, in order to verify the model's validity. For this, the investigator interviewed with and carried out a questionnaire survey of experts in housing development projects. Study findings are as follows:First, the feasibility analysis factor, derived in this study, could provide a ground to evaluate the feasibility of subject projects in the planning of development through an analysis index. Second, when feasibility is under the level of carrying out the projects, it is possible to reexamine the projects through extracting analysis factors of which points are under the standard and via a feedback process for improvable analysis factors. Therefore, the result of applying the feasibility analysis model of this study to actual housing development projects analytically shows that the model could provide a practical evaluation criterion to the person in charge of project development through an analysis index.

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An Economic Analysis of the Hydrogen Station Enterprise Considering Dynamic Utilization (동적 이용률을 고려한 수소충전소 사업의 경제성 분석)

  • GIM, BONGJIN
    • Transactions of the Korean hydrogen and new energy society
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    • v.28 no.1
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    • pp.47-55
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    • 2017
  • This paper deals with the after-tax economic feasibility analysis of the hydrogen fueling station considering dynamic utilization. We selected an off-site hydrogen station in which the hydrogen is supplied by a central by-product hydrogen plant as a case study. Also, we made some sensitivity analysis by changing input factors such as the discount rate, the hydrogen station construction cost, the hydrogen demand and the hydrogen sale price. As a result, the hydrogen station will not be economical in 2020 due to the relatively high price of the hydrogen station construction cost and the low price of hydrogen sale price. In order to realize the economic feasibility of the hydrogen station in the early stage of the hydrogen economy, the subsidies on the annual operating cost as well as the construction cost are needed.

A FEASIBILITY STUDY ON THE NUMERICAL PRE-ASSEMBLY SIMULATION USING 3D LASER SCANNING MEASUREMENT

  • Kyoungmin Kim ;Seok Kim ;Chan-Hyuk Park ;Kyong Ju Kim
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1193-1198
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    • 2005
  • The pre-assembly takes a large portion of the fabrication cost of steel bridges. In order to save the fabrication cost through the improvement of the conventional pre-assembling process, this research investigates a numerical pre-assembly simulation as an alternative to current pre-assembling process. The 3D laser scanning was utilized in site and measuring data for steel box were analyzed. The productivity of pre-assembly simulation system is compared with the conventional pre-assembling system. This paper identifies feasibility on the alternative pre-assembling process and then proposes the scheme of the pre-assembly simulation system development satisfying the current pre-assembly inspection of standards.

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The Preliminary Feasibility on Big Data Analytic Application in Construction

  • Ko, Yongho;Han, Seungwoo
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.276-279
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    • 2015
  • Along with the increase of the quantity of data in various industries, the construction industry has also developed various systems focusing on collecting data related to the construction performance such as productivity and costs achieved in construction job sites. Numerous researchers worldwide have been focusing on developing efficient methodologies to analyze such data. However, applications of such methodologies have shown serious limitations on practical applications due to lack of data and difficulty in finding appropriate analytic methodologies which were capable of implementing significant insights. With development of information technology, the new trend in analytic methodologies has been introduced and steeply developed with the new name of "big data analysis" in various fields in academia and industry. The new concept of big data can be applied for significant analysis on various formats of construction data such as structured, semi-structured, or non-structured formats. This study investigates preliminary application methods based on data collected from actual construction site. This preliminary investigation in this study expects to assess fundamental feasibility of big data analytic applications in construction.

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Review of Site Characterization Methodology for Deep Geological Disposal of Radioactive Waste (방사성폐기물의 심층 처분을 위한 부지특성조사 방법론 해외 사례 연구)

  • Park, Kyung-Woo;Kim, Kyung-Su;Koh, Yong-Kwon;Jo, Yeonguk;Ji, Sung-Hoon
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.15 no.3
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    • pp.239-256
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    • 2017
  • In the process of site selection for a radioactive waste disposal, site characterization must be carried out to obtain input parameters to assess the safety and feasibility of deep geological repository. In this paper, methodologies of site characterization for radioactive waste disposal in Korea were suggested based on foreign cases of site characterization. The IAEA recommends that site characterization for radioactive waste disposal should be performed through stepwise processes, in which the site characterization period is divided into preliminary and detailed stages, in sequence. This methodology was followed by several foreign countries for their geological disposal programs. General properties related to geological environments were obtained at the preliminary site characterization stage; more detailed site characteristics were investigated during the detailed site characterization stage. The results of investigation of geology, hydro-geology, geochemistry, rock mechanics, solute transport and thermal properties at a site have to be combined and constructed in the form of a site descriptive model. Based on this site descriptive model, the site characteristics can be evaluated to assess suitability of site for radioactive waste disposal. According to foreign site characterization cases, 7 or 8 years are expected to be needed for site characterization; however, the time required may increase if the no proper national strategy is provided.