• Journal of the Korean Wood Science and Technology
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• v.46 no.2
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• pp.202-210
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• 2018

This study was carried out to quantify degree of contribution of harvested wood product (HWP) on mitigation of climate change by valuation of public benefits, environmentally and economically. The potential carbon dioxide emission reduction of HWP was estimated by accounting carbon storage effect and substitution effect. Based on 2014 statistics of Korea Forest Service, domestic HWPs were sorted by two categories, such as wood products produced domestically from domestic and imported roundwood. The wood products were divided into seven items; sawnwood, plywood, particle board, fiberboard (MDF), paper (including pulp), biomass (wood pellet) and other products. The carbon stock of wood products and substitution effects during manufacturing process was evaluated by items. Based on the relevant carbon emission factor and life cycle analysis, the amount of carbon dioxide emission per unit volume on HWP was quantified. The amounts of carbon stock of HWP produced from domestic and from imported roundwood were 3.8 million $tCO_{2eq}$., and 2.6 million $tCO_{2eq}$., respectively. Also, each reduction of carbon emission by substitution effect of HWP produced from domestic and imported roundwood was 3.1 million $tCO_{2eq}$. and 2.1 million $tCO_{2eq}$., respectively. The results of this study, the amount of carbon emission reduction of HWP, can be effectively used as a basic data for promotion of wood utilization to revise and establish new wood utilization promotion policy such as 'forest carbon offset scheme', and 'carbon storage labeling system of HWP'.

• Journal of the Korean Solar Energy Society
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• v.24 no.3
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• pp.101-109
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• 2004

This research investigates the life-cycle energy consumption of the windows used for the building's exterior cladding, and its environmental potential aspects by utilizing the LCA. The research scope has taken account of the entire life-cycle of the windows from the extraction of raw materials to its disposal, of which given sample building type is an apartment building. Results gained from the LCA of the windows as one of the steps in analysis reflects the current global interest and analysis trend towards the world's environmental issue on all fields of industry including the architectural industry, of which its newly established standards of architectural windows can further promote more environmentally sustainable factor compared to the previous analysis (focused more on energy efficiency assessment of the use stage).

• KIEAE Journal
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• v.8 no.4
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• pp.19-27
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• 2008

The carbon dioxide is brought from the energy consumption and regarded as a criteria material to estimate the Global Warming Potential. Building shares about 30% in national energy consumption and affects to environment as much as the energy consumption. But there is not enough data to forecast the amount of the carbon dioxide during the maintenance stage. Various factors are related with the energy consumption and carbon dioxide emission such as the physical area, the building exterior area, the maintenance type and location. Among these factors, the building carbon-dioxide emission can be estimated by the overall building characteristics such as the maintenance area, the number of household, the heating type, etc., The physical amount such as the thickness of the insulation and window infiltration could explained the limited scope and might not be use to estimate the total carbon-dioxide emission energy because the each value could not include or represent the overall building. In this paper, it provided the estimation model of the carbon-dioxide emission, explained by the overall building characteristics. These factors are shown as the maintenance area, no. of household, the heating type, the volume of the building, the ratio of the window to wall area etc., For providing the estimation model of th carbon-dioxide emission, it conducted the corelation analysis to filter the variables and suggested the estimation model with the power model and multiple regression model. Most of the model have a good statistics and fitted in the curve line.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.22 no.4
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• pp.234-240
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• 2010

In October 2009, the Ministry of Land Transport and Maritime Affairs noticed 'Environment-friendly housing construction standards and performance' to build energy saving environment-friendly housings (Green Homes) for the reduction of energy consumption and carbon dioxide emission. In this study, the $CO_2$ emissions were evaluated during the life cycle of the existing apartments which were built in 1980's and Green Home apartment. $LCCO_2$ was evaluated by dividing the life cycle into three stages which are construction, maintenance and destruction stage. $CO_2$ emission from the materials for improving insulation performance was estimated by Input-output analysis. As a result, in 40 year-life cycle of $84\;m^2$ apartment, 400.68 T-$CO_2$ was emitted from 1980's apartment, on the other hand 231.02 T-$CO_2$ was emitted from Green Home apartment.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.5
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• pp.716-721
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• 2010

LCA (Life Cycle Assessment) carried out to estimate carbon footprint and to establish of LCI (Life Cycle Inventory) database of rice production system. The results of collecting data for establishing LCI D/B showed that organic fertilizer and chemical fertilizer input to 4.29E-01 kg $kg^{-1}$ rice and 2.30E-01 kg $kg^{-1}$ rice for rice cultivation. It was the highest value among input for rice cultivation. And direct field emission was 3.23E-02 kg $kg^{-1}$ during rice cropping. The results of LCI analysis focussed on greenhouse gas (GHG) was showed that carbon footprint was 8.70E-01 kg $CO_2$-eq. $kg^{-1}$ rice. Especially for 80% of $CO_2$ in the GHG and 7.02E-01 kg of its $CO_2$-eq. $kg^{-1}$ rice. Of the GHG emission $CH_4$, and $N_2O$ were estimated to be 13% and 5%, respectively. With LCIA (Life Cycle Impact Assessment) for rice cultivation system, it was observed that fertilizer process might be contributed to approximately 80% of GWP (global warming potential).

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.328-333
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• 2006

A few methodologies have been recently developed to estimate the environmental affect when various materials and components are used in building life cycle. The direct survey method has limitations to analyze the environmental problems because of the limit of survey scope and cost. Therefore, another indirect method has been developed as alternatives. The indirect method is represented as input-output analysis. This paper aimed at analyzing the estimation the environmental affect of building materials and works at building construction, utilizing the input-output analysis as a indirect estimation method. The results suggested that the building works is overally responsible for the energy consumption and $CO_2$ emission. In other words, Over the 80% of the total consumption and $CO_2$ emission are resulted at the building work.

• Korean Journal of Construction Engineering and Management
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• v.13 no.4
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• pp.78-88
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• 2012

As worldwide efforts to reduce global warming gases, the construction Industry is endeavoring to diminish carbon dioxides emissions. Especially, by introducing the LCA methodology to the industry, A variety of related studies to measure the emission of carbon dioxides have been conducted. However, when the conventional LCA methodology is applied to the construction projects, some limitations have been reported. To overcome the restrictions derived from the industry characteristics, this research suggested the Activity-based LCA model by applying the Activity-based Costing (ABC), which breaks down the whole life cycles into more detailed stages. By implementing the newly developed model, forecasting accuracy of $CO_2$ emission was elevated, and the critical control points on carbon dioxides were established. Through the case study of aluminium curtain-wall system, this research verified the usefulness of the Activity-based LCA.

• New & Renewable Energy
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• v.6 no.4
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• pp.15-29
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• 2010

In order to make the best choice for $CO_2$ abatement using renewable energy technologies, it is important to be able to adapt these technologies on the basis of their sustainability, which may include a variety of environmental indicators. This study examined the comparative sustainability of renewable technologies in terms of their life cycle $CO_2$ emissions and embodied energy, using life cycle analysis. The models developed were based on case studies of bioenergy pilot plant in P city of Kyungki province. Final results were total emission of $CO_2$ in Pocheonsi is 670,041 $tCO_2$, around 500,877 $tCO_2$ for electricity and for heat generation, and 169,164 $tCO_2$ for transportation. When used $1,984\;m^3$/day of waste (pig manure etc.) and operated CHP with wood chips of 144,664 ton/year, the $CO_2$ emission in P city was left as is an emission of 449,274 $tCO_2$ and an abatement of $CO_2$ in this region was increased by 32.9%.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.94-101
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• 2024

Construction projects are responsible for significant carbon emissions, accounting for 23% of the world's total emissions. While efforts have been made to reduce these emissions, a comprehensive analysis of these efforts has yet to be conducted, making it difficult to identify research gaps and future directions. This study addresses this gap by conducting a systematic literature review of 208 papers in the Web of Science (WOS) database using Carbon, Emission, and Construction as keywords. The review was categorized into bibliometric and content analysis. The bibliometric analysis reveals that most papers focus on estimating and assessing carbon emissions through Life Cycle Assessment (LCA) (34%). The use of construction technologies, such as prefabrication and BIM, which can directly reduce carbon emissions, was limited to only 7% of the reviewed papers. Furthermore, the review revealed that 67% of the studies were conducted in China. Similarly, content analysis revealed the papers' essential findings and limitations in each selected category. Based on these findings, the study 1) suggests the technology applications in tacking, estimating and reducing carbon emissions in the construction supply chain (CSC) and 2) highlights the need for global attention to reducing carbon emissions in construction projects.

• Korean Journal of Soil Science and Fertilizer
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• v.45 no.6
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• pp.1143-1152
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• 2012

We established a top-down methodology to estimate carbon footprint as national mean value (reference) with the statistical data on agri-livestock incomes in 2007. We also established LCI (life cycle inventory) DB by a bottom-up methodology with the data obtained from interview with farmers from 4 large-scale farms at Gunsan, Jeollabuk-do province to estimate carbon footprint in 2011. This study was carried out to compare top-down methodology and bottom-up methodology in performing LCA (life cycle assessment) to analyze the difference in GHGs (greenhouse gases) emission and carbon footprint under conventional rice cultivation system. Results of LCI analysis showed that most of $CO_2$ was emitted during fertilizer production and rice cultivation, whereas $CH_4$ and $N_2O$ were mostly emitted during rice cultivation. The carbon footprints on conventional rice production system were 2.39E+00 kg $CO_2$-eq. $kg^{-1}$ by top-down methodology, whereas 1.04E+00 kg $CO_2$-eq. $kg^{-1}$ by bottom-up methodology. The amount of agro-materials input during the entire rice cultivation for the two methodologies was similar. The amount of agro-materials input for the bottom-up methodology was sometimes greater than that for top-down methodology. While carbon footprint by the bottom-up methodology was smaller than that by the top-down methodology due to higher yield per cropping season by the bottom-up methodology. Under the conventional rice production system, fertilizer production showed the highest contribution to the environmental impacts on most categories except GWP (global warming potential) category. Rice cultivation was the highest contribution to the environmental impacts on GWP category under the conventional rice production system. The main factors of carbon footprints under the conventional rice production system were $CH_4$ emission from rice paddy field, the amount of fertilizer input and rice yield. Results of this study will be used for establishing baseline data for estimating carbon footprint from 'low carbon certification pilot project' as well as for developing farming methods of reducing $CO_2$ emission from rice paddy fields.