• Title/Summary/Keyword: Carbon Dioxide($CO_2$) Emission

Search Result 321, Processing Time 0.038 seconds

A study on the functional restructuring of the security system for the reduction of the amount of carbon dioxide (탄소량 감축을 위한 보안 시스템의 기능적 구조 개선에 관한 연구)

  • Jeon, Jeong Hoon
    • Convergence Security Journal
    • /
    • v.13 no.3
    • /
    • pp.39-46
    • /
    • 2013
  • Recently, the problem of global warming has become a globally important issues. and To solve these problems, has been receiving increasing attention for the Green IT. In these situation, IT techniques are evolving with variety services and hacking techniques. so, it is inevitable to the use of a many and diverse secure system. As a result, Carbon Dioxide emissions are expected to increase. Therefore, in this paper is analyzed the factors of security system's $CO_2$ emissions through Experiments and A case study. and is proved that is reducing $CO_2$ emissions by improving the functional restructuring of the security system. In a future, this paper is expected to serve as a valuable Information for security network design and performance improvements and to reduce Carbon Emissions in the Field of IT.

A Study of Carbon Dioxide Emissions due to the Performance Degradation Factors of An Inner Network (내부 네트워크의 성능저하요인에 따른 이산화탄소 배출에 관한 연구)

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

A Case Study to Estimate the Greenhouse-Gas Mitigation Potential on Rice Production System in Farming without Agricultural Chemicals

  • Lee, Jong-Sik;Ryu, Jong-Hee;Jeong, Hyun-Cheol;Choi, Eun-Jung;Kim, Gun-Yeob
    • Korean Journal of Soil Science and Fertilizer
    • /
    • v.47 no.5
    • /
    • pp.374-380
    • /
    • 2014
  • To estimate greenhouse gas (GHG) emission, the inventory of rice cultivation at the farming without agricultural chemicals was established from farmers in Gunsan, Jeonbuk province in 2011~2012. The objectives of this study were to calculate carbon footprint and analyse the major factor of GHGs. To do this, we carried out a sensitivity analysis using the analyzed main factors of GHGs and estimated the mitigation potential of GHGs. Also we suggested agricultural methods to reduce GHGs that can be appled by farmers at this region. At the farming system without agricultural chemicals, carbon footprint of rice production unit of 1 kg was 2.15 kg $CO_2.-eq.kg^{-1}$. Although the amount of carbon dioxide ($CO_2$) emission was the largest among GHGs, methane ($CH_4$) emission had the highest contribution to carbon footprint on rice production system when it was converted to carbon dioxide equivalent ($CO_2-eq.$) multiplied by the global warming potential (GWP). Main source of $CO_2$ emission in the rice farming system without agricultural chemicals was combustion of fossil fuels used by agricultural machinery. Most of the $CH_4$ was emitted during rice cultivation practice and its major emission factor was flooded paddy field in anaerobic condition. Also, most of the $N_2O$ was emitted from rice cultivation process. Major sources of the $N_2O$ emission was application of fertilizer such as compound fertilizer. As a result of sensitivity analysis in energy consumption, diesel had the highest sensitivity among the energy inputs. With the reduction of diesel consumption by 10%, it was estimated that $CO_2$ potential reduction was about 2.0%. With reducing application rate of compound fertilizer by 10%, the potential reduction was calculated that $CO_2$ and $N_2O$ could be reduced by 0.5% and 0.9%, respectively. At the condition of 10% reduction of silicate and compost, $CO_2$ and $CH_4$ could be reduced by 1.5% and 1.6%, respectively. With 8 days more drainage than the ordinary practice, $CH_4$ emission could be reduced by about 4.5%. Drainage and diesel consumption were the main sources having the largest effect on the GHG reduction at the farming system without agricultural chemicals. Based on the above results, we suggest that no-tillage and midsummer drainage could be a method to decrease GHG emissions from rice production system.

Greenhouse Gas Emission Reduction and Economic Benefit Evaluation of Carbon Mineralization Technology using CFBC Ash (순환유동층 석탄재를 이용한 탄소광물화 기술의 온실가스 배출 저감량 및 경제성 분석)

  • Jung, Euntae;Kim, Jeongyun
    • Resources Recycling
    • /
    • v.31 no.3
    • /
    • pp.40-52
    • /
    • 2022
  • This study analyzed the amount of carbon dioxide reduction and economic benefits of detailed processes of CO2 6,000 tons plant facilities with mineral carbonation technology using carbon dioxide and coal materials emitted from domestic circulating fluidized bed combustion power plants. Coal ash reacted with carbon dioxide through carbon mineralization facilities is produced as a complex carbonate and used as a construction material, accompanied by a greenhouse gas reduction. In addition, it is possible to generate profits from the sales of complex carbonates and carbon credits produced in the process. The actual carbon dioxide reduction per ton of complex carbonate production was calculated as 45.8 kgCO2eq, and the annual carbon dioxide reduction was calculated as 805.3 tonCO2, and the benefit-cost ratio (B/C Ratio) is 1.04, the internal rate return (IRR) is 10.65 % and the net present value (NPV) is KRW 24,713,465 won, which is considered economical. Carbon mineralization technology is one of the best solutions to reduce carbon dioxide considering future carbon dioxide reduction and economic potential.

A Study on the Fixed amount of CO2 and the estimation of production on CaCO3 of Waste Concrete Powder using the Ca(OH)2 (Ca(OH)2를 이용한 폐콘크리트 미분말의 CO2 고정량 및 CaCO3 생성량 추정에 관한 연구)

  • Ahn, Hee-Sung;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2011.11a
    • /
    • pp.117-118
    • /
    • 2011
  • South Korea is a ninth greenhouse gas emission nation in the world(2007) and is certainly to perform a duty to conduct reduction role by the Kyoto Protocol in 2013. waste concrete produced in the country is 45 million tons per year and these two issues are being came to the fore as major problems of society. However, if it utilizes wet carbonation system carbon using carbon dioxide and waste concrete as raw material it can expect effect of environmental protection and resource recycling. Furthermore, it can exploit another industry production.

  • PDF

Kinetic Responses of Soil Carbon Dioxide Emission to Increasing Urea Application Rate

  • Lee, Sun-Il;Lim, Sang-Sun;Lee, Kwang-Seung;Kwak, Jin-Hyeob;Jung, Jae-Woon;Ro, Hee-Myoung;Choi, Woo-Jung
    • Korean Journal of Environmental Agriculture
    • /
    • v.30 no.2
    • /
    • pp.99-104
    • /
    • 2011
  • BACKGROUND: Application of urea may increase $CO_2$ emission from soils due both to $CO_2$ generation from urea hydrolysis and fertilizer-induced decomposition of soil organic carbon (SOC). The objective of this study was to investigate the effects of increasing urea application on $CO_2$ emission from soil and mineralization kinetics of indigenous SOC. METHODS AND RESULTS: Emission of $CO_2$ from a soil amended with four different rates (0, 175, 350, and 700 mg N/kg soil) of urea was investigated in a laboratory incubation experiment for 110 days. Cumulative $CO_2$ emission ($C_{cum}$) was linearly increased with urea application rate due primarily to the contribution of urea-C through hydrolysis to total $CO_2$ emission. First-order kinetics parameters ($C_0$, mineralizable SOC pool size; k, mineralization rate) became greater with increasing urea application rate; $C_0$ increased from 665.1 to 780.3 mg C/kg and k from 0.024 to 0.069 $day^{-1}$, determinately showing fertilizer-induced SOC mineralization. The relationship of $C_0$ (non-linear) and k (linear) with urea-N application rate revealed different responses of $C_0$ and k to increasing rate of fertilizer N. CONCLUSION(s): The relationship of mineralizable SOC pool size and mineralization rate with urea-N application rate suggested that increasing N fertilization may accelerate decomposition of readily decomposable SOC; however, it may not always stimulate decomposition of non-readily decomposable SOC that is protected from microbial decomposition.

Projection of Circum-Arctic Features Under Climate Change (미래 기후 변화 시나리오에 따른 환북극의 변화)

  • Lee, Ji Yeon;Cho, Mee-Hyun;Koh, Youngdae;Kim, Baek-Min;Jeong, Jee-Hoon
    • Atmosphere
    • /
    • v.28 no.4
    • /
    • pp.393-402
    • /
    • 2018
  • This study investigated future changes in the Arctic permafrost features and related biogeochemical alterations under global warming. The Community Land Model (CLM) with biogeochemistry (BGC) was run for the period 2005 to 2099 with projected future climate based on the Special Report on Emissions Scenarios (SRES) A2 scenario. Under global warming, over the Arctic land except for the permafrost region, the rise in soil temperature led to an increase in soil liquid and decrease in soil ice. Also, the Arctic ground obtained carbon dioxide from the atmosphere due to the increase in photosynthesis of vegetation. On the other hand, over the permafrost region, the microbial respiration was increased due to thawing permafrost, resulting in increased carbon dioxide emissions. Methane emissions associated with total water storage have increased over most of Arctic land, especially in the permafrost region. Methane releases were predicted to be greatly increased especially near the rivers and lakes associated with an increased chance of flooding. In conclusion, at the end of $21^{st}$ century, except for permafrost region, the Arctic ground is projected to be the sink of carbon dioxide, and only permafrost region the source of carbon dioxide. This study suggests that thawing permafrost can further to accelerate global warming significantly.

Predicting Carbon Dioxide Emissions of Incoming Traffic Flow at Signalized Intersections by Using Image Detector Data (영상검지자료를 활용한 신호교차로 접근차량의 탄소배출량 추정)

  • Taekyung Han;Joonho Ko;Daejin Kim;Jonghan Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.21 no.6
    • /
    • pp.115-131
    • /
    • 2022
  • Carbon dioxide (CO2) emissions from the transportation sector in South Korea accounts for 16.5% of all CO2 emissions, and road transportation accounts for 96.5% of this sector's emissions in South Korea. Hence, constant research is being carried out on methods to reduce CO2 emissions from this sector. With the emerging use of smart crossings, attempts to monitor individual vehicles are increasing. Moreover, the potential commercial deployment of autonomous vehicles increases the possibility of obtaining individual vehicle data. As such, CO2 emission research was conducted at five signalized intersections in the Gangnam District, Seoul, using data such as vehicle type, speed, acceleration, etc., obtained from image detectors located at each intersection. The collected data were then applied to the MOtor Vehicle Emission Simulator (MOVES)-Matrix model-which was developed to obtain second-by-second vehicle activity data and analyze daily CO2 emissions from the studied intersections. After analyzing two large and three small intersections, the results indicated that 3.1 metric tons of CO2 were emitted per day at each intersection. This study reveals a new possibility of analyzing CO2 emissions using actual individual vehicle data using an improved analysis model. This study also emphasizes the importance of more accurate CO2 emission analyses.

A Prediction Model of CO2 Emissions for Construction Equipment Using Curve Fitting (Curve Fitting을 이용한 건설장비 CO2 배출량 예측 모델)

  • Noh, Jaeyun;Kim, Yujin;Lee, Jiyeon;Lee, Minwoo;Han, Seungwoo
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2020.06a
    • /
    • pp.107-108
    • /
    • 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.

  • PDF

A Study on the Calculation Process of Carbon Dioxide Emission for Buildings with Life Cycle Assessment (건축물 생애과정에서의 이산화탄소 배출량 계산 프로세스에 관한 연구)

  • Jeong, Young-Sun;Huh, Jung-Ho
    • Journal of the Korean Solar Energy Society
    • /
    • v.31 no.1
    • /
    • pp.23-30
    • /
    • 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.