• 조명전기설비학회논문지
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• 제24권10호
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• pp.67-72
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• 2010

G8 summit meeting held in July 2008 decided to set up a long-term goal, by 2050, reducing the world greenhouse emissions by half of those emitted in 1990. In November 2009, the Government announced to reduce the national $CO_2$ emission by 30[%] of BAU by 2020. Electric power industries in Korea produce most of their electricity by burning fossil fuels, and emit approximately 28[%] of national $CO_2$ emissions. Monitoring the $CO_2$ emissions. Monitoring the $CO_2$ emission of electric power plants is very important. This paper presents a method to calculate the hourly $CO_2$ emission for a thermal power plant burning mixture of coal and oil using the performance test data and coal-oil mix rate. An example of $CO_2$ emission calculation is also demonstrated.

• 한국기후변화학회지
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• 제9권3호
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• pp.273-281
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• 2018

The purpose of this study is to consider the effectiveness of continuous $CO_2$ emission monitoring in waste incinerator. To prevent global warming, many countries are trying to reduce $CO_2$, the main greenhouse gas. Currently, Korea is implementing an emission trading scheme to reduce $CO_2$, and waste incinerators are included in this scheme as major $CO_2$ sources. However, when using waste incinerators, $CO_2$ is discharged during incineration of various types of wastes, therefore it is very difficult to calculate the amount of emissions according to IPCC guidelines. In addition, the estimation of $CO_2$ emissions by calculation is known to lack of accuracy comparing with actual emissions. Currently, Korea is operating CleanSYS, which enables continuous measurement of gases emitted into the atmosphere. Therefore, it is possible to estimate the $CO_2$ emissions of waste incineration facilities. The IPCC, which published $CO_2$ emission calculation guidelines, recognizes that direct measurement of emission is a more advanced method in cases of various $CO_2$ emission sources such as a waste incineration facility. Also, Korean emission trading scheme guidelines allow estimation of $CO_2$ emissions by continuous measurement at waste incineration facilities. Therefore, this study considers the effectiveness of a direct measurement method by comparing the results of CleanSYS with the calculation method suggested by the IPCC guidelines.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2007년도 춘계학술대회 논문집
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• pp.417-420
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• 2007

1997년 교토 기후협약이 체결되었고, 우리나라도 2013 년부터 기후협약 규제가 거의 확실시 되고 있다. 화석 연료의 연소로 대부분의 전력 을 생산하는 발전 산업은 우리나라 CO2 배출량의 25%를 차지하고 있으며, 발전소의 전력 생산에 따른 CO2배출량의 계산은 매우 중요한 일이 되었다. 본 논문은 발전소의 시험data 와 IPCC (Intergovernmental Panel on Climate Change)의 온실가스 추계방법론을 이용하여 시간당 CO2 대기 배출량을 계산하는 방법을 제시한다. 발전출력에 대한 CO2 배출량을 계산하는 한 예를 도시하였다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2008년도 추계학술대회 논문집
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• pp.65-67
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• 2008

일본 홋카이도 도야코에서 2008년 7월 열린 주요 8개국(G8) 정상회의에서는 2050년까지 전 세계 온실가스 배출량을 절반으로 줄이는 장기 목표론 추진하기로 했다. 본 논문은 D 발전소의 중유 연소에 따른 비용과 LNG 연소에 따른 비용이 같아지는 ton 당 $CO_2$ 배출비용을 찾고자 한다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2007년도 추계학술대회 논문집
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• pp.341-344
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• 2007

교토의정서(Kyoto Protocol)는 1997년 일본 교토에서 채택되어 2005년 2월에 공식 발효되었다. 우리나라는 현재 온실가스 감축의무 부담이 없지만 2013년부터 감축의무가 거의 확실시되고 있는 상황이다 국내 온실가스 배출량의 25%를 차지하는 발전산업은 화석연료를 사용하고 있어 전력생산에 따른 $CO_2$ 배출량의 계산은 매우 중요한 일이 되었다. 본 논문은 - D발전소의 성능시험에 대하여 기술하고, - 성능시험 결과 얻어진 D발전소 성능시험 Data a, b, c 특성계수를 이용, LNG와 중유 연소시 각각 연료소모량에 대한 $CO_2$ 대기 배출량을 계산 비교하였으며, - 화학적인 방법에 의한 $CO_2$ 대기 배출량 산정방법을 간략히 언급하였다.

• 조명전기설비학회논문지
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• 제21권5호
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• pp.120-125
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• 2007

1997년 지구온난화 문제를 해결하기 위해 교토 기후협약이 체결되었고, 우리나라도 2013년부터 기후협약 규제가 거의 확실시 되고 있다. 우리나라 온실가스 배출량은 연간 약6억 톤이며, 그 중 CO2가 5억 톤이다. 특히 화석연료의 연소로 대부분의 전력을 생산하는 발전 산업은 우리나라 CO2 배출량의 20[%] 이상을 차지하고 있다. 따라서 발전소의 전력생산에 따른 화석연료의 소모량과 이에 따른 CO2 배출량을 monitoring하는 것이 매우 중요해졌다. 본 논문은 발전소의 성능시험 결과 얻어지는 입출력 특성계수와 IPCC(Intergovernmental Panel on Climate Change)의 온실가스 추계 방법론을 이용하여 순시 발전출력에 따른 CO2 대기배출량을 계산하는 방법을 제시하였다. 4모선 모형계통의 시뮬레이션을 통하여 전력계통의 조류계산과 발전소별 CO2 배출량을 연립 연산하는 예를 도시하였다.

• 대한건축학회논문집:구조계
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• 제35권7호
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• pp.187-195
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• 2019

In December 2015, The Paris Agreement was adopted to undertake ambitious efforts to combat climate change. Korean government announced its goal of reducing the country's greenhouse gas emissions by up to 37% below business as usual projections by 2030 in 2015. The purpose of this study was to set up the calculation methodology of GHG emission($CO_{2e}$) in building sector and to estimate the annual GHG emission in building sector based on national energy consumption statistic. The GHG emission from buildings is about 135.8 million ton $CO_{2e}$ as of 2015, taking up about 19.6% of Korea's entire emission and is about 144.7 million ton $CO_{2e}$ in 2017. The GHG emission of building sector is increasing at annual rate of 2.0% from 2001 to 2017. The GHG emission from electricity consumption in buildings is 91.8 million ton $CO_{2e}$ in 2017, is the highest $CO_2$ emission by energy source. The results show that the intensity of GHG emission of residential building sector is $40.6kg-CO_{2e}/m^2{\cdot}yr$ and that of commercial building sector is $68.4kg-CO_{2e}/m^2{\cdot}yr$.

• 한국태양에너지학회 논문집
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• 제31권1호
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• pp.23-30
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• 2011

International cooperation to reduce greenhouse gas emissions is expected to provide a big crisis and a great opportunity at the same time for our industry that heavily consumes energy. To cope actively with the international environmental regulation, such as the Framework Convention on Climate Change, quantitative measurement of the volume of greenhouse gases emitted by various industries and quantitative prediction of the greenhouse gas emissions of the future are becoming more important than anything else at the national level. This study aims to propose the calculation process of carbon dioxide($CO_2$) emission for building in life cycle. This paper describes and compares 9 different tool for environmental load estimation with LCA. This study proposed the calculation process for quantitatively predicting and assessing $CO_2$ emissions during the life cycle of buildings based on the life cycle assessment(LCA). The life cycle steps of buildings were divided into the design/supervision, new construction, repair, renovation, use of operating energy in buildings, maintenance, and reconstruction stage in the life cycle inventory analysis and the method of assessing the environmental load in each stage was proposed.

• 한국환경과학회지
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• 제18권2호
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• pp.197-203
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• 2009

The aim of this study is to calculate process emission of GHGs(greenhouse gases) in nonferrous-metal industry, such as Zn, Pb, Cu and Ni. In addition, variation and emission of GHGs generated from these company were defined. And then, GHGs algorithm and calculation formular which were considered as production process in each part of nonferrous-metal industry were developed to develop calculation program of GHGs emission. These algorithm and calculation formular would present fundamental direction about other nonferrous-metal industry in the future.

• Architectural research
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• 제18권4호
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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.