• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.231-240
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• 2023

Purpose: The purpose of this study is to analyze air quality and carbon emissions in developing countries, particularly Myanmar, and explore the impact of transportation on CO2 emissions during peak hours relative to free-flow conditions. Method: This study conducted a traffic survey in two major cities in Myanmar to quantify carbon dioxide emissions from the transportation sector, using IPCC's tier 1 and tier 2 approaches, with statistical analysis performed using Python 3 and Microsoft Excel for comparative analysis of critical factors in CO2 emissions. Result: The result of this study is an estimate of the vehicle kilometers traveled (VKT) and fuel consumption in Yangon city for the year 2019, based on data from various sources including the Myanmar Statistical data base, YUTRA project survey, and Ministry of Electric and Energy. The study also analyzes the average travel time index (TTI) for the four roads in Yangon, which indicates the impact of congestion on vehicle travel time and CO2 emissions. Overall, the study provides important insights into the transport sector in Yangon city and can be used to inform policies aimed at reducing greenhouse gas emissions and improving traffic conditions. Conclusion: The study concludes that congestion plays a significant role in increasing fuel use and emission levels in the road transport sector in Myanmar. The analysis provides valuable insights into the impact of the sector on the environment and emphasizes the importance of addressing congestion to reduce fuel use and emissions. However, the study's scope is limited to Yangon city and Mandalay city, and some mean values may not accurately represent the entire country and other developing countries.

• Environmental and Resource Economics Review
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• v.21 no.4
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• pp.851-891
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• 2012

The objective of this study can be presented as follows: First, given the consumption-based carbon accounting method which has now been claimed, this study reviews the emissions within Korea and the resulting position change in international society. Second, when each nation makes efforts to reduce carbon emissions under the Copenhagen Accord, this study, using the Computable General Equilibrium (CGE) model, reviews the resulting carbon leakage and analyzes the effect from the various border adjustment measures. However, reflecting uncertainties in the negotiation processes, this study attempts to apply scenarios with regards to the reduction-mandatory nation group. In addition, this study tries to observe the impact on Korea through testing the various border adjustment measures, including the free allocation and embodied carbon tariffs.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.32 no.3
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• pp.95-103
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• 2024

Recently, the aviation industry has experienced a significant surge in air traffic, and Incheon Airport is no exception. The Trombone STAR procedure, introduced in June 2021, needs to be managed efficiently to cope with the increased air traffic. This study aims to analyze the current STAR procedures at Incheon Airport, identify existing issues, and propose improvements to enhance efficiency. The study compares flight trajectories and fuel consumption based on real flight data from Korean Air B747 aircraft. The results suggest that optimized STAR procedures can contribute to better fuel management, reduced flight time, and decreased carbon emissions.

• International Journal of Automotive Technology
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• v.6 no.2
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• pp.95-105
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• 2005

Diesel engines have low specific fuel consumption, but high particulate emissions, mainly soot. Diesel soot is suspected to have significant effects on the health of living beings and might also affect global warming. Hence stringent measures have been put in place in a number of countries and will be even stronger in the near future. Diesel engines require either advanced integrated exhaust after treatment systems or modified engine models to meet the statutory norms. Experimental analysis to study the emission characteristics is a time consuming affair. In such situations, the real picture of engine control can be obtained by the modeling of trend prediction. In this article, an effort has been made to predict emissions smoke and NO$_{x}$ using cylinder combustion derived parameters and diesel particulate filter data, with artificial neural network techniques in MATLAB environment. The model is based on three layer neural network with a back propagation learning algorithm. The training and test data of emissions were collected from experimental set up in the laboratory for different loads. The network is trained to predict the values of emission with training values. Regression analysis between test and predicted value from neural network shows least error. This approach helps in the reduction of the experimentation required to determine the smoke and NO$_{x}$ for the catalyst coated filters.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.33-41
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• 2010

Recently the number of IT equipment have increased. It consumes large amounts of energy and is emissions of greenhouse gases. Co2 emissions with the PC and the monitor has the highest percentage to 39% more than other IT equipment. In addition, Plan for your PC's power management and technology development is being pursued in developed countries. To reduce energy costs of organizations with large numbers of the PC and to cut down on Co2 emissions, the energy load control technology of ACPI standards-based PC IS suggested. AMI-based PC power-management system was constructed, Approximately 20% of operating a result of the test power consumption was reduced. Looking at the case of the United States, PC monitors from the University of Wisconsin-Oshkosh was Sleep mode. As a result, the monitor on a, $ 20 for a year reduced energy costs. In GE(General Electronic), Approximately 75,000 PC's power setting time was Monitor Off :15 minutes/ Hard Drives Off 30 minutes/ System Standby 30 minutes/ Hibernation mode 2 hours. 1 year, electric bill was $ 2.5 million savings and 3 years electric bill was $ 6.5 million savings. Measuring energy usage data, using the measured data, electric energy management technology is not. Platform development to measure energy usage for Individual energy-consuming equipment is urgently required.

• Environmental and Resource Economics Review
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• v.26 no.2
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• pp.123-138
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• 2017

This study estimates the effect of the Kyoto Protocol on $CO_2$ emissions with a Quandt-Andrews test for detection of structural break with Annex B counties data. The structural break on $CO_2$ emissions took place in 2008 which is 3 year after ratification of the Kyoto Protocol. According to the empirical results, 1% increase in energy consumption leads to 1% and 0.31% increases in income before and after the structural break, respectively. This study also finds the monotonic increase relationship between $CO_2$ emission and income. Regarding to the relationship between renewable energy use and $CO_2$ emissions, 1% increase in renewable energy consumption leads to 0.1% decrease in $CO_2$ emissions until year 2007 and 0.09% decreases after year 2008, respectively. Based on the results of empirical study, we find little evidence of the effect of the Kyoto Protocol on reduction of $CO_2$ emissions for Annex B countries.

• Transactions of the Korean Society of Automotive Engineers
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• v.25 no.3
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• pp.336-343
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• 2017

Intake air conditions, such as air temperature, pressure, and humidity, are very important parameters that influence engine performance including combustion and emissions characteristics. The purpose of this study is to investigate the effects of intake air temperature on combustion and exhaust emissions characteristics in a single cylinder diesel engine. In this experiment, an air cooler and a heater were installed on the intake air line and a gas flow controller was installed to maintain the flow rate. It was found that intake air temperature induced the evaporation characteristics of the fuel, and it affects the maximum in-cylinder pressure, IMEP(indicated mean effective pressure), and fuel consumption. As the temperature of intake air decreases, the fuel evaporation characteristics deteriorate even as the fuel temperature has reached the auto-ignition temperature, so that ignition delay is prolonged and the maximum pressure of cylinder is also reduced. Based on the increase in intake air temperature, nitrogen oxides(NOx) increased. In addition, the carbon monoxide(CO) and unburned hydrocarbons(UHC) increased due to incomplete fuel combustion at low intake air temperatures.

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.1
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• pp.25-31
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• 2003

There are a lot of factors influencing on the automobile fuel economy such as average speed, average acceleration, acceleration sum per kilometer, and so on. In this study, various driving data were recorded during road tests. The accumulated road test mileage in Seoul metropolitan area is around 1,300 kilometers. The data were analyzed by multivariate statistical techniques including correlation analysis, principal component analysis, and multiple linear regression analysis. The analyzed results show that the average trip time per kilometer is one of the most important factors to fuel consumption and the increase of the average speed is desirable for reducing emissions and fuel consumption.

• ETRI Journal
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• v.38 no.4
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• pp.735-745
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• 2016

The Paris agreement at the 21st Conference of the Parties (COP21) emphasizes the reduction of greenhouse gas emissions and increase in energy consumption in all areas. Thus, an important aspect is energy saving in buildings where the lighting is a major component of the electrical energy consumption. This paper proposes a building energy management system employing visible light communication (VLC) based on LED lighting. The proposed management system has key characteristics including personalization and localization by utilizing such VLC advantages as secure communication through light and location-information transmission. Considering the efficient implementation of an energy-consumption adjustment using LED luminaires, this paper adopts variable pulse position modulation (VPPM) as a VLC modulation scheme with simple controllability of the dimming level that is capable of providing a full dimming range. This paper analyzes the VPPM performances according to variable dimming for several schemes, and proposes a VPPM demodulation architecture based on dimming-factor acquisition, which can obtain an improved performance compared to a 2PPM-based scheme. In addition, the effect of a dimming-factor acquisition error is analyzed, and a frame format for minimizing this error effect is proposed.

• Journal of Korean Society for Atmospheric Environment
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• v.30 no.3
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• pp.223-232
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• 2014

Monthly variations of radiative forcing (RF) and mean temperature changes by greenhouse gases emitted from commercial aircraft were estimated based on the simplified expression at four international airports (Incheon, Gimpo, Jeju, and Gimhae Airports) during the years of 2009~2010. The highest RF and mean temperature change in the study area occurred at Incheon Airport, whereas the lowest RF and mean temperature change at Gimhae Airport. During 2009~2010, the mean RF and mean temperature change estimated from aircraft $CO_2$ emissions at Incheon Airport were approximately 30.0 $mW/m^2$ and $0.022^{\circ}K$, respectively. The mean RF and mean temperature changes caused by other greenhouse gas $N_2O$ was significantly small (<<0.1 $mW/m^2$ and << $1{\times}10^{-3}^{\circ}K$). Meanwhile, $CH_4$ emissions caused negative mean RF ($-4.45{\times}10^{-3}mW/m^2$ at Incheon Airport) and the decrease of mean temperature ($-3.83{\times}10^{-6}^{\circ}K$) due to consumption of atmospheric $CH_4$ in the aircraft engine.