• Tunnel and Underground Space
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• v.25 no.4
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• pp.373-382
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• 2015

This study presents a method to calculate carbon dioxide emissions of diesel vehicles operated in an underground mine using Geographic Information Systems (GIS). An underground limestone mine in Korea was selected as the study area. A GIS database was constructed to represent the haulage roads as a 3D vector network. The speed of dump trucks at each haulage road was investigated to determine the carbon dioxide emission factor. The amount of carbon dioxide emissions related to the truck's haulage work could be calculated by considering the carbon dioxide emission factor at each haulage road and the haulage distance determined by GIS-based optimal route analysis. Because diesel vehicles are widely utilized in the mining industry, the method proposed in this study can be used and further improved to calculate the amount of carbon dioxide emissions in mining sites.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.49-65
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• 2023

In response to the growing global concern for the environment, the international community has recently committed to achieving 'carbon neutrality.' As a result, numerous studies have been conducted on mode choice models that include carbon emissions as a variable. However, few studies have established a correlation between individual preferences and carbon emissions. In this study, a new mode of transportation named sustainable public transit (SPT), incorporating carbon-reducing transport options like electric scooters, is proposed. Analyzing the individual preferences of commuters on carbon emissions through factor analysis, a stated preference (SP) survey was conducted. A mode choice model for SPT was constructed using multinomial logit models. The results of the analysis showed that gender, income, and specific preferences, such as a passion for exploring new routes, a preference for intermodal transfers, knowledge of carbon reduction, and carbon reduction practices, significantly influence latent preferences for SPT. Therefore, this study is significant as it considers carbon emissions as an attribute variable during the construction of mode choice models and reflects the individual preference variables associated with carbon reduction.

• Journal of Korea Foresty Energy
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• v.20 no.1
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• pp.53-61
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• 2001

An approach method for the greenhouse gas inventory in land-use change and forestry in Korea based on the 1996 revised IPCC(Intergovernmental Panel on Climate Change) guideline was developed and carbon budget of the year 1998 in this sector was estimated using the developed method as follow. For the category of changes in forests and other woody biomass stocks, carbon removal from the atmosphere by growth was 11,911 thousands TC(tons of carbon), carbon emissions to the atmosphere by harvests was 824 thousands TC, and net carbon removals was, therefore, 11,087 thousands TC, Emissions from decay of biomass remained after conversion of forest land to other land uses was estimated to 82 thousands TC For the category of land-use change and management, carbon emissions in mineral soils from land-use change was 1,025 thousands TC, that from liming of agricultural soils was 32 thousands TC, and total emissions was, therefore, 1,057 thousands TC. In summary, the carbon budget of land-use change and forestry of the year 1988 was as follows; the removal of 11,911 thousands TC, the emissions of 1,963 thousands TC, and the net removal of 9,948 thousands TC which was 9.6% of the emissions of 103,601 thousands TC from energy sector of the same year.

• Environmental Engineering Research
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• v.25 no.3
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• pp.374-383
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• 2020

Landfill gas (LFG) emissions from a given amount of landfill waste depend on the carbon flows in the waste. The objective of this study was to more accurately estimate the first-order decay parameters through methane (CH₄) and carbon flow balances based on the analysis of a full-scale landfill with long-term data and detailed field records on LFG and leachate. The carbon storage factor for the case-study landfill was 0.055 g-degradable organic carbon (DOC) stored per g-wet waste and the amounts of DOC lost with the leachate were less than 1.3%. The appropriate CH₄ generation rate constant (k) for bulk waste was 0.24 y-1. The the CH₄ generation potential (L0) values ranged 33.7-46.7 m3-CH₄ Mg-1, based on the fraction of DOC that can decompose (DOCf) value of 0.40. Results show that CH4 and carbon flow balance methods can be used to estimate model parameters appropriately and to predict long-term carbon emissions from landfills.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.11B
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• pp.1315-1322
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• 2011

Recently, The Problem of Global Warming around the world, is emerging as a very serious environmental problems, and as a way to fix it 'Green IT' is becoming an Issue. In these situations the evolution of network technologies with a various attacks, it appears, add the different security devices and systems are deployed. But, Deployment methods such a network, the performance and security of the internal network will affect on the greater and it will be increase Carbon Dioxide emissions. Therefore, In this paper, it will be to analyze Carbon Dioxide Emissions due to the Performance Degradation Factors of An Inner Network. and In a future, This paper is expected to serve as a valuable Information for the Network Performance and Security improvements and to reduce Carbon Emissions in the Field of IT.

• Architectural research
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• v.18 no.4
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• pp.145-149
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• 2016

Recently, a goal was set globally to reduce the Carbon Dioxide ($CO_2$) emission at national levels by 30 % in comparison to the Business As Usual (BAU) pursuant to the United Nations Framework Convention on Climate Change. As construction industry accounts for as high as 40 % of the $CO_2$ emission by the entire industrial sector in Korea, efforts toward reducing emissions from the construction industry are essential. Buildings are mainly responsible for $CO_2$ emissions, and, to reduce the $CO_2$ emitted from the buildings, a fast and accurate calculation method is required to be introduced in the architectural design phase. If the standardized data based on Building Information Modelling (BIM) is utilized, $CO_2$ emissions can be calculated quickly and accurately during the design phase. However, it is difficult for the designers who lack the knowledge regarding $CO_2$ emissions to reduce and manage such emission during the planning and design phases of buildings by estimating the quantities of various materials and the corresponding $CO_2$ emissions. Accordingly, the objective of this study is to develop a BIM-based $CO_2$ emission estimation system for a rapid and objective analysis and verification of $CO_2$ emissions.

• KIEAE Journal
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• v.12 no.2
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• pp.83-92
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• 2012

Recently, many countries are tightening a variety of policies and controls with great efforts to reduce emission of GHGs(Greenhouse Gases) as concern for climate change heightens. The purpose of the study is to provide guidelines for planning and evaluate element and evaluate housing development. The elements are also assorted into 6 sections and 30 planning elements were drawn from them. It is drawn to 6 sections, 27 categories, 31 evaluation elements except cultural and perceptual aspects unrelated to planning elements from these elements. Case analysis has shown that most of planning elements were applied because these cases obtained environment-friendly certification in the country. Followings are the common characteristics. Firstly, it showed that application of planning element in all cases is excellent. Secondly, the case with excellent application of elements related with energy and application degree obtained excellent degree i environment-friendly certification in the country. Finally, application of planning elements related with renewable energy was in poor condition in all cases. With the utilization of SBTool, the evaluation results about planning elements of housing complex of Carbon emissions-reduction type showed that CASE-A obtained 11.17 points and CASE-B obtained 9.24 points. In the case of renewable energy section, it was confirmed that the evaluation doesn't work well. As a result, changes of planning elements affect environment-friendly extent. It was confirmed that accessibility to housing complex of Carbon emissions-reduction type could change. Estimated result of Amount of Carbon emission showed that annual energy consumption per each family of CASE-A is $4,269,964MJ/m^2$, as a result of which, Carbon emission is $234,815kg/m^2$. And annual energy consumption per family of CASE-B is $4,197,563MJ/m^2$, as a result of which, Carbon emission is $214,584kg/m^2$. Application of planning elements in the aspect of housing complex of Carbon emissions-reduction type shows that the level for Carbon emissions-reduction is high level. And study with assessment from the draft should be followed.

• Korean Journal of Artificial Intelligence
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• v.8 no.2
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• pp.17-22
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• 2020

Purpose: After entering the 21st century, a new industrial revolution, i.e. industrial revolution 4.0, which is characterized by intelligence, automation and networking, has opened the curtain of the "industry 4.0" era. In recent years, "low-carbon economy" has been a development goal that has been paid close attention to and adhered to at home and abroad. As a major economic province, Shandong Province has not only brought about rapid economic growth, but also caused rapid environmental deterioration due to its high energy consumption, high dependence and high environmental pollution. In this environment, low-carbon economy has become an inevitable trend in the development of foreign trade in Shandong Province. Based on the current situation of foreign trade in Shandong Province and various existing problems, this paper explores the relationship between low-carbon economy and foreign trade in Shandong Province under this strategic background. Research design, data and methodology: By selecting the data from 2008 to 2017, using the carbon emission coefficient method to measure the CO2 emissions in the past decade, analyzing the impact of ecological factors on trade, selecting the most representative GDP and total imports for regression analysis, it is proved that they have a real impact on CO2 emissions. The total GDP is positively correlated with carbon emissions, while the total import is negatively correlated with carbon emissions. Results:This paper discusses the impact of low-carbon economy on foreign trade of Shandong Province from the perspective of foreign trade. Especially in today's "low-carbon economy" background. Conclusions:it is helpful for relevant departments to formulate relevant policies and promote the sustainable development of foreign trade in Shandong Province.

• Nuclear Engineering and Technology
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• v.54 no.4
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• pp.1312-1320
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• 2022

The earlier studies have analyzed theoretical links between nuclear energy and carbon dioxide (CO₂) emissions concerning territorial (or production-based) emissions. Here using the latest available dataset, this study explores the impacts of nuclear energy on production-based and consumption-based CO₂ emission in the era of globalization for the Organization for Economic Co-operation and Development (OECD) countries. The Driscoll-Kraay regression method reveals that nuclear energy is beneficial for the reduction of production-based CO₂ emissions. However, it is revealed that nuclear energy does not reduce consumption-based CO₂ emissions that are traded internationally and hence not comprised in conventional production-based emissions (territory) inventories. Globalization tends to reduce both production-based and demand-based carbon emissions. Finally, Environmental Kuznets Curve (EKC) is validated for both kinds of CO₂ emissions. The findings may deliver practical policy implications related to nuclear energy and CO₂ emissions for selected countries.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.107-108
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• 2020

The severity of the global climate crisis is increasing due to greenhouse gases caused by human activities. As a result, countries and industries are making efforts to reduce carbon dioxide emissions, the biggest cause of global warming. Many studies have been conducted to predict carbon emissions in the construction sector to reduce this, but they have not actually produced a highly usable formula in the field. Therefore, the two variables 'Curve Fitting' were performed based on the data of excavators and trucks measured at the field. As a result, we have obtained a carbon dioxide emission prediction model for construction equipment, and we would like to use it to help establish an eco-friendly process plan.