• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.78-86
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• 2013

The researches for reduce $CO_2$ are going along animatedly in hole industry area. In construction area, the researches to minimize $CO_2$ emission are progressing variously. The researches to minimize $CO_2$ emission based on $CO_2$ emission. The method measuring $CO_2$ emission are using $CO_2$ emission coefficient on fuel consumption, LCA and an inter-industry relation table. Especially, the methods using the carbon emission coefficient based on fuel consumption are 3 types(Tier1~Tier3) of IPCC. Present, the most using method(Tier1) is using the fuel consumption and the carbon emission coefficient. But because this method do not effect each vehicle distance and driving environment, we can't calculate right $CO_2$ emission. Especially construction project's $CO_2$ emission could be different by project's characteristic. However, we can't apply these difference with present methods. So we need methodology calculating $CO_2$ emission by applying personal project's characteristic and these methodology's most important things is directly measuring $CO_2$ emission of construction equipment which use energy. The object of this study is to develop the $CO_2$ emission calculation methodology which occur in construction process, is to suggest ways to measure in real time $CO_2$ emission from construction equipment.

• Journal of Climate Change Research
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• v.4 no.3
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• pp.235-244
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• 2013

Carbon dioxide emission estimation methods consist of four tiers according to the IPCC guideline. In this study, estimated results by tier 3 and tier 4 were compared with the theoretically calculated $CO_2$ emissions based on the mass balance approach for a gas fired power plant between March and May 2011. It was found that the relative differences were upto 17% between the measured emissions by tier 4 and theoretically estimated emissions, while the results of tier 3 were similar to those from theoretically estimated ones. The comparisons suggested the possibility of misestimation due to replacing missing, abnormal, or invalid data in continuous emissions monitoring system. When using only the data without those missing, abnormal, or invalid data, the relative differences decreased somewhat but still showed consistent differences depending on the stack. It is suggested that this differences might be due to the accuracy of the measurement instruments for the tier 4, especially, for the flow rate measurement instrument.

• Journal of Korean Society for Atmospheric Environment
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• v.26 no.6
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• pp.657-665
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• 2010

Carbon dioxide ($CO_2$) is known to be a major greenhouse gas partially emitted from waste combustion facilities. According to the greenhouse gas emission inventory in Korea, the quantity of the gas emitted from waste sector in 2005 represents approximately 2.5 percent of all domestic greenhouse gas emission. Currently, the emission rate of greenhouse gas from the waste sector is relatively constant partly because of both the reduced waste disposal in landfills and the increased amounts of waste materials for recycling. However, the greenhouse gas emission rate in waste sectors is anticipated to continually increase, mainly due to increased incineration of solid waste. The objective of this study was to analyze the property of Municipal Solid Waste (MSW) and estimate $CO_2$ emissions from domestic MSW incineration facilities. The $CO_2$ emission rates obtained from the facilities were surveyed, along with other two methods, including Tier 2a based on 2006 IPCC Guideline default emission factor and Tier 3 based on facility specific value. The $CO_2$ emission rates were calculated by using $CO_2$ concentrations and gas flows measured from the stacks. Other parameters such as waste composition, dry matter content, carbon content, oxidation coefficient of waste were included for the calculation. The $CO_2$ average emission rate by the Tier 2a was 34,545 ton/y, while Tier 3 was 31,066 ton/y. Based on this study, we conclude that Tier 2a was overestimated by 11.2 percent for the $CO_2$ emission observed by Tier 3. Further study is still needed to determine accurate $CO_2$ emission rates from municipal solid waste incineration facilities and other various combustion facilities by obtaining country-specific emission factor, rather than relying on IPCC default emission factor.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.5
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• pp.1976-1997
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• 2016

This paper investigates the problem of co-tier interference mitigation for dynamic small- cell networks, in which the load of each small-cell varies with the number of active associated small-cell users (SUs). Due to the fact that most small-cell base stations (SBSs) are deployed in an ad-hoc manner, the problem of reducing co-tier interference caused by dynamic loads in a distributed fashion is quite challenging. First, we propose a new distributed channel allocation method for small-cells with dynamic loads and define a dynamic interference graph. Based on this approach, we formulate the problem as a dynamic interference graph game and prove that the game is a potential game and has at least one pure strategy Nash equilibrium (NE) point. Moreover, we show that the best pure strategy NE point minimizes the expectation of the aggregate dynamic co-tier interference in the small-cell network. A distributed dynamic learning algorithm is then designed to achieve NE of the game, in which each SBS is unaware of the probability distributions of its own and other SBSs' dynamic loads. Simulation results show that the proposed approach can mitigate dynamic co-tier interference effectively and significantly outperform random channel selection.

• Journal of Information Processing Systems
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• v.10 no.3
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• pp.384-394
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• 2014

The femtocell overlaid cellular network (FOCN) has been used to enhance the capacity of existing cellular systems. To obtain the desired system performance, both cross-tier interference and co-tier interference in an FOCN need to be managed. This paper proposes an interference management scheme that adaptively constructs a femtocell cluster, which is a group of femtocell base stations that share the same frequency band. The performance evaluation shows that the proposed scheme can enhance the performance of the macrocell-tier and maintain a greater signal to interference-plus-noise ratio than the outage level can for about 99% of femtocell users.

• Journal of the Society of Naval Architects of Korea
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• v.51 no.5
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• pp.362-368
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• 2014

Container vessel sizes have constantly increased over the past two decades. With increasing ship sizes and higher container loading capacities, the adoption of lashing bridges has also increased. Today's lashing bridge designs range from 1st tier to 3rd tier lashing bridges. Container securing program of the past which is based on two lashing rods and 1st tier lashing bridge has to be improved to be suitable for the present time. The equilibrium equations in this study are established to cover the application of 3~4 lashing rods and 2nd~3rd tier lashing bridges. In addition developed program is improved to be able to calculate the reaction forces and optimum arrangement under the external lashing. An optimization algorithm which is suitable for the container securing problems involved the equality constraint has been also adopted in this study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.4
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• pp.1424-1441
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• 2014

Two-tier femtocell networks, consisting of a conventional cellular network underlaid with femtocell hotspots, play an important role in the indoor coverage and capacity of cellular networks. However, the cross- and co-tier interference will cause an unacceptable quality of service (QoS) for users with universal frequency reuse. In this paper, we propose a novel downlink interference mitigation strategy for spectrum-shared two-tier femtocell networks. The proposed solution is composed of three parts. The first is femtocells clustering, which maximizes the distance between femtocells using the same slot resource to mitigate co-tier interference. The second is to assign macrocell users (MUEs) to clusters by max-min criterion, by which each MUE can avoid using the same resource as the nearest femtocell. The third is a novel adaptive power control scheme with femtocells downlink transmit power adjusted adaptively based on the signal to interference plus noise ratio (SINR) level of neighboring users. Simulation results show that the proposed scheme can effectively increase the successful transmission ratio and ergodic capacity of femtocells, while guaranteeing QoS of the macrocell.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.54 no.4
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• pp.315-323
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• 2018

Fossil fuel combustion during fishing activities is a major contributor to climate changes in the fishing industry. The Tier1 methodology calculation and on-site continuous measurements of the greenhouse gas were carried out through the use of fuel by the coastal and offshore gillnet (blue crabs and yellow croaker) and trap (small octopus and red snow crab) fishing boats in Korea. The emission comparison results showed that the field measurements are similar to or slightly higher than the Tier1 estimates for coastal gillnet and trap. In offshore gillnet and trap fisheries, Tier1 estimate of greenhouse gases was about $1,644-13,875kg\;CO_2/L$, which was more than the field measurement value. The $CO_2$ emissions factor based on the fuel usage was $2.49-3.2kg\;CO_2/L$ for coastal fisheries and $1.46-2.24kg\;CO_2/L$ for offshore fisheries. Furthermore, GHG emissions per unit catch and the ratio of field measurement and Tier1 emission estimate were investigated. Since the total catch of coastal fish was relatively small, the emission per unit catch in coastal fisheries was four to eight times larger. The results of this study could be used to determine the baseline data for responding to changes in fisheries environment and reducing greenhouse gas emission.

• Journal of Climate Change Research
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• v.3 no.3
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• pp.195-209
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• 2012

There are four differentiated levels to quantify the amount of greenhouse gas emissions from a facility, which are Tier 1 to 4 based on the IPCC guidelines. In this study, the emission estimates from all tier levels were calculated to compare their total $CO_2$ emission results among themselves for seven facilities, including three sectors of electricity generation, municipal solid waste incineration, and cement manufacturing for three months between February and May 2011. Generally the measured $CO_2$ emissions by Tier 4 were higher than the calculated $CO_2$ emissions by Tier 3, which had been also observed for the power plants in the USA. It was found out that to obtain more reliable estimation for Tier 3, accurate analysis of the composition of the fuel used should be carried out. It was suggested that further refinement on the administrative guidelines be made to make it more robust.

• Journal of Climate Change Research
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• v.8 no.2
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• pp.177-186
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• 2017

In this research, we have developed standardized procedures for preparing of emission inventories on military sector. The procedures are as follows; 1) Identify all relevant emission sources list of military sector in Republic of Korea. 2) Select methods to estimate GHGs emissions by source categories such as heating boilers, tactical vehicles, military vessels and military aviation from US EPA, IPCC, EEA/EMEP, and ROK Ministry of Environment. 3) Identify and select data sources for activities and parameters from Korea annual oil statistics and Korea Procurement system. 4) Compare with each GHGs emission used by each activities. The conclusive results utilized by emission source categories and associated factors are described as follows; In 2013, GHGs was estimated 2,656 kilotons $CO_2-eq$ emitted by military sector. The diesel combustion contributed from a minimum of 43.8% to a maximum of 50.2% and JP-8 contributed from a minimum of 43.7% to a maximum of 52.8% to the 2001~2015 GHGs emission trend. In the result of comparing GHGs emissions with Korea Annual Oil Statistics (Tier 1) and supplied fuel through the Korea Procurement System (Tier 2) in 2015, the total GHGs emission was 2,867 kilotons $CO_2-eq$ estimated by Tier 2 is similar to the emission estimated by Tier 1. However, this reveals that the GHGs emission separated by local areas were a lot of different from Tier 1 and 2. The cause of difference between Tier 1 and Tier 2 was that Korea annual oil statistics utilized data from a fuel supplier. The data does not reflect the reality of the location of end user.