• Proceedings of the Korean Nuclear Society Conference
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• 2001.05a
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• pp.539.2-539
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• 2001

• Industrial Engineering and Management Systems
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• v.15 no.2
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• pp.156-172
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• 2016

Complex and uncertain issues in supply chain result in integrated decision making processes in supply chains. So decentralized (distributed) decision making (DDM) approach is considered as a crucial stage in supply chain planning. In this paper, an uncertain DDM through coordination mechanism is addressed for a multi-product supply chain planning problem. The main concern of this study is comparison of DDM approach with centralized decision making (CDM) approach while some parameters of decision making are assumed to be uncertain. The uncertain DDM problem is modeled through fuzzy mathematical programming in which products' demands are assumed to be uncertain and modeled using fuzzy sets. Moreover, a CDM approach is customized and developed in presence of fuzzy parameters. Both approaches are solved using three fuzzy mathematical optimization methods. Hence, the contribution of this paper can be summarized as follows: 1) proposing a DDM approach for a multi-product supply chain planning problem; 2) Introducing a coordination mechanism in the proposed DDM approach in order to utilize the benefits of a CDM approach while using DDM approach; 3) Modeling the aforementioned problem through fuzzy mathematical programming; 4) Comparing the performance of proposed DDM and a customized uncertain CDM approach on multi-product supply chain planning; 5) Applying three fuzzy mathematical optimization methods in order to address and compare the performance of both DDM and CDM approaches. The results of these fuzzy optimization methods are compared. Computational results illustrate that the proposed DDM approach closely approximates the optimal solutions generated by the CDM approach while the manufacturer's and retailers' decisions are optimized through a coordination mechanism making lasting relationship.

• Geomechanics and Engineering
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• v.20 no.1
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• pp.75-86
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• 2020

This study aims to simulate the stabilization process of fibrous peat samples using end-bearing Cement Deep Mixing (CDM) columns by three area improvement ratios of 13.1% (TS-2), 19.6% (TS-3) and 26.2% (TS-3). It also focuses on the determination of approximate stress distribution between CDM columns and untreated fibrous peat soil. First, fibrous peat samples were mechanically stabilized using CDM columns of different area improvement ratio. Further, the ultimate bearing capacity of a rectangular foundation rested on the stabilized peat was calculated in stress-controlled condition. Then, this process was simulated via a FEM-based model using Plaxis 3-D foundation and the numerical modelling results were compared with experimental findings. In the numerical modelling stage, the behaviour of fibrous peat was simulated based on hardening soil (HS) model and Mohr-Coulomb (MC) model, while embedded pile element was utilized for CDM columns. The results indicated that in case of untreated peat HS model could predict the behaviour of fibrous peat better than MC model. The comparison between experimental and numerical investigations showed that the stress distribution between soil (S) and CDM columns (C) were 81%C-19%S (TS-2), 83%C-17%S (TS-3) and 89%C-11%S (TS-4), respectively. This implies that when the area improvement ratio is increased, the share of the CDM columns from final load was increased. Finally, the calculated bearing capacity factors were compared with results on the account of empirical design methods.

• Applied Chemistry for Engineering
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• v.19 no.1
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• pp.17-26
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• 2008

With the effectuation of Kyoto Protocol on the United Nations Framework Convention on the Climate Change, the emission reduction of greenhouse gases became an urgent issue and has been competitively secured among countries as the form of certificates through clean development mechanism (CDM) or joint implementation (JI). Nitrous oxide ($N_2O$) is one of the major greenhouse gases along with carbon dioxide ($CO_2$) and methane ($CH_4$) having warming potential 310 times that of carbon dioxide and chemically very stable in the atmosphere to give a life time of more than 120 years so that it reaches to the stratosphere to act as an ozone depleting substance. $N_2O$ hardly decomposes and thus, besides to the adoption of thermal decomposition at high temperature, selective catalytic reduction methods are usually used at temperatures over $400^{\circ}C$ in which the presence of NOx acts as a major impeding material in the decomposition process. In this article, the sources of various $N_2O$ generation, catalytic reduction processes and the status and trends of emission trade with CDM projects for greenhouse gas reduction are summarized and discussed on a condensed basis.

• Journal of the Korea Organic Resources Recycling Association
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• v.29 no.2
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• pp.5-14
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• 2021

As the implementation of carbon reduction measures would be monitored starting from 2023 in line with the Paris Agreement, it is crucial and urgent to control GHGs emitted from wastes contributing to 11% of methane emissions. Despite such importance and urgency, 93% of wastes are deposited in unsanitary landfills in developing countries, presenting challenges to methane management. Against the backdrop, landfill gas-to-energy projects have once again drawn attention for their economic substantiality secured through CDM projects while there has been much research actively carried out to estimate methane emissions and GHG reductions in landfills located in developing countries. Although a signifiant difference was found between estimations calculated based on research methodologies and actual results monitored through registered CDM projects, there has not been a study conducted on what is causing such a difference. Accordingly, the research team conducted an analysis of 18 LFG projects out of 46 that were registered as LFG CDM projects under the UNFCCC and has identified precipitation(28%), malfunction(22%), organic content(11%), amount of landfilled waste(11%) and temperature(11%) as key parameters causing the difference between the amount of methane captured and the amount of GHG reduced.

• Journal of Korean Society for Atmospheric Environment
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• v.2 no.2
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• pp.19-30
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• 1986

This study was performed to develop a long-term air pollution dispersion model based on CDM program for use in the personal computer. The model CDM.PC, developmented for use of this study, simplified the plum equation of point pollution source in a windy state and sindless state. We used the classified 8 class stability, 16 wind direction and 4 class wind speed for the computer input climatological data. The plum rise equation is applied for CONCAWE's equation above 2,000 Kcal/sec of the exhaust calorie and Moses-Carson's equation below 2,000Kcal/sec at windy state, and Brigg's equation at calm. The time required is 200 minutes for drawing the air pollution contour for treating ten stacks under the above-stated conditions. It is the weakness of using personal computer that the operation time is longer than a large-size computer. But it strength is that the personal computer is used widely. To compare the treatment results of CDM.PC with TCM, we comfirmed that the shape of $SO_2$ pollution contour is similar but the concentration distribution is quite different because of characteristics of each models. Estimated and measured $SO_2$ concentration were similar, namely, Cest/Cob ratio of CDM.PC and TCM were respectively $0.96 \pm 0.25 (mean\pmS.D)$ and $1.08\pm0.26$.

• Journal of Environmental Policy
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• v.5 no.2
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• pp.69-93
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• 2006

This paper considers major three steps to arrive at accurate baseline emissions against which actual emission reductions attributable to CDM projects are accounted for. The first step is to select most likely baseline scenario among plausible alternatives. Then, the additionality of the project in question would be assessed by demonstrating that the project is not included in the baseline scenario selected. Finally, baseline emissions are calculated under the baseline scenario. In this paper, these three steps are integrated into a single flow chart in order to help understand the procedures for application of a baseline methodology better. Following the flow chart, a landfill gas-to-electricity project in Korea is analyzed as a case study. In consequence, this paper concludes that landfill gas-to-electricity projects in Korea have great potential for CDM projects, and it could also be concluded that data availability and reliability are a prerequisite for successful application of baseline methodologies for landfill gas projects to Korean specific situations.

• International Area Studies Review
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• v.15 no.2
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• pp.427-447
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• 2011

In global, there is an active movement to reduce the green house gas. Allowance and carbon tax are the one of effective alternatives to mitigate green gas effect. In addition, the clean development machinism(CDM) can be applied between the ANNEX 1 and developing countries. It could be an one good solution to reduce the GHG. In the Northern Asia, the CDM can be the one of the possible solution to reduce the GHG because the Japan has a responsibility to reduce GHG and the China and Korea have a room to supply CDM credit. It is suffice to say that if these three countries decide to collaborate, the new international carbon market can be established that can be the similar form of EU-ETS. It is clear that few barriers must be removed to launched such new form of carbon market. Protection of domestic technology, excessive financial request of business opportunities by CDM, and irrational needs of carbon credit that created by CDM, listed constraints define as an one single word, the national selfishness. Once it is cleared, there is high possibility that the Northern Asia CDM trading system can be launched.

• Journal of Energy Engineering
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• v.20 no.3
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• pp.231-235
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• 2011

Ligneous biomass such as wood pellet is characterized as carbon neutral which has no carbon dioxide emission ; additionally, it can be used as an alternative fuel by co-firing without additional plant reformation as well as for maintaining stability of fuel supply. We can develop CDM project while co-firing by using biomass into conventional coal fired thermal power plant with AM0085 CDM methodology, and it's possible to prove additionality as fuel cost per kWh is higher than bituminous. The study shows that the electricity by biomass can reduce green house emission by $0.6737tCO_2$ per MWh.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.120.2-120.2
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• 2011

최근 북반구 하늘에 대한 SDSS 관측으로부터 우리은하 주변에서 다수 발견된 Ultra-Faint Dwarf Galaxies (uFDs)는 우주의 차가운 암흑물질 (CDM) 이론에서 예측한 질량이 작은 위성은하의 후보로 알려져 있다. 특히 이 uFDs는 역학적 특성과 관련하여 특이한 특징을 갖는 것으로 알려져 있다. 그러나 아직 그 수가 충분하지 않아 더 많은 수의 uFDs의 발견이 기대되고 있다. 이 연구에서는 남반구에서 가동이 시작된 남반구 전천 탐사 망원경 SkyMapper와 향후 가동하게 될 KMT-Net를 이용하여 남반구 하늘에서 SDSS 보다 더 1~2 등급 깊은 관측을 수행하여 다수의 더 어두운 uFDs를 탐색하고, 그 은하와 CDM의 특성을 연구함으로써 우리은하뿐만 아니라 우주의 구조와 진화에서의 CDM의 역할을 규명하는 프로젝트를 제안하려한다. 이 연구에서는 SkyMapper와 KMT-Net의 상호 역할, 관측전략, 기대효과 등 제반사항을 논의하려 한다.