• 한국자동차공학회논문집
• /
• 제25권2호
• /
• pp.207-218
• /
• 2017

Improving fuel consumption, particularly that of commercial vehicles, has become a global concern. The reduction in logistics cost has been a key issue in efforts to improve fuel economy and efficiency of transportation equipment. Typical technologies for reducing reduce fuel usage include air resistance reduction technologies, tire rolling resistance technologies, and idle technologies among others. Air resistance technology is a highly effective method that can be easily applied in a short period. As with air resistance technology, several devices involving side skirt, boat tail and gap fairing have been developed based on an analytical 3-D modeling technique for reducing air resistance attributed to the vehicle configuration. The devices were on a 45 feet tractor-trailer and the emission test was done using PEMS equipment. Fuel economy was evaluated by introducing several devices to reduce outer air resistance. The test was conducted by changing the experimental method of SAE J1321 Joint TMC/SAE Fuel Consumption Test Procedure - Type II test. As a result, air resistance decreased by at least 15 % and fuel economy improved by at least 13 %. This study sought to reduce greenhouse gas and improve fuel economy by applying several devices to a test vehicle to lower air resistance.

• Environmental Engineering Research
• /
• 제22권3호
• /
• pp.302-311
• /
• 2017

Nowadays, with the burgeoning development of economy, $CO_2$ emissions increase rapidly in China. It has become a common concern to seek effective methods to forecast $CO_2$ emissions and put forward the targeted reduction measures. This paper proposes a novel hybrid model combined principal component analysis (PCA) with regularized extreme learning machine (RELM) to make $CO_2$ emissions prediction based on the data from 1978 to 2014 in China. First eleven variables are selected on the basis of Pearson coefficient test. Partial autocorrelation function (PACF) is utilized to determine the lag phases of historical $CO_2$ emissions so as to improve the rationality of input selection. Then PCA is employed to reduce the dimensionality of the influential factors. Finally RELM is applied to forecast $CO_2$ emissions. According to the modeling results, the proposed model outperforms a single RELM model, extreme learning machine (ELM), back propagation neural network (BPNN), GM(1,1) and Logistic model in terms of errors. Moreover, it can be clearly seen that ELM-based approaches save more computing time than BPNN. Therefore the developed model is a promising technique in terms of forecasting accuracy and computing efficiency for $CO_2$ emission prediction.

• Environmental Engineering Research
• /
• 제22권4호
• /
• pp.347-355
• /
• 2017

This study investigated how the combined changes in environmental conditions and nitrogen (N) deposition influence the mineralization processes and carbon (C) dynamics of wetland soil. For this objective, we conducted a growth chamber experiment to examine the effects of combined changes in environmental conditions and N deposition on the anaerobic decomposition of organic carbon and the emission of greenhouse gases from wetland soil. A chamber with elevated $CO_2$ and temperature showed almost twice the reduction of total decomposition rate compared to the chamber with ambient atmospheric conditions. In addition, $CO_2$ fluxes decreased during the incubation under the conditions of ambient $CO_2$ and temperature. The decrease in anaerobic microbial metabolism resulted from the presence of vegetation, which influences the litter quality of soils. This can be supported by the increase in C/N ratio over the experimental duration. Principle component analysis results demonstrated the opposite locations of loadings for the cases at the initial time and after three months of incubation, which indicates a reduction in the decomposition rate and an increasing C/N ratio during the incubation. From the distribution between the decomposition rate and gas fluxes, we concluded that anaerobic decomposition rates do not have a significantly positive relationship with the fluxes of greenhouse gas emissions from the soil.

• 한국수소및신에너지학회논문집
• /
• 제28권2호
• /
• pp.174-180
• /
• 2017

Recently, the world faces the environmental problem such as air pollution due to harmful gas discharged from car and abnormal climate due to the green-house gases increased by the discharge of $CO_2$. Compressed Natural Gas (CNG), one of alternative for this problem, is less harmful, compared to the existing fossil fuel, as gaseous fuel, and less carbon in fuel ingredients and carbon dioxide generation rate relatively favorable more than the existing fuel. However, CNG fuel has the weakness of slow flame propagation speed and difficult fast burn. On the other hand, hydrogen does not include carbon in fuel ingredients, and does not discharge harmful gas such as CO and HC. Moreover, it has strength of quick burning velocity and ignition is possible with small ignition energy source and it's has wide Lean Flammability Limit. If using this hydrogen with CNG fuel, the characteristics of output and discharge gas is improved by the mixer's burning velocity improved, and, at the same time, is possible to have stable lean combustion with the reduction of $CO_2$ expected. Therefore, this research tries to identify the characteristics of engine and emission gas when mixing CNG fuel and hydrogen in each portion and burning them in spark igniting engine, and grasp the lean combustion limit and emission gas characteristics according and use it as the basic data of hydrogen-CNG premixed engine.

• Advances in environmental research
• /
• 제1권2호
• /
• pp.125-142
• /
• 2012

Clean development mechanism (CDM) validity study was conducted to suggest better and more adaptable CDM scenario on water treatment plant (WTP). Potential four scenarios for CDM project; improvement of intake pumping efficiency, hydro power plant construction, solar panel construction and system optimization of mechanical mixing process were evaluated on S-WTP in Korea. Net present value (NPV) of each scenario was estimated based on sensitivity analysis with the variable factors to investigate the CDM validity percentile. Hydro power plant construction was the best option for CDM business with 97.76% validity and $1,127,069 mean profit by 9,813 $tonsCO_2e$/yr reduction. CDM validity on improvement of intake pumping efficiency was 90.2% with $124,305 mean profit by huge amount of $CO_2$ mitigation (10,347 $tonsCO_2e$/yr). System optimization of mechanical mixing process reduced 15% of energy consumption (3,184 $tonsCO_2e$/yr) and its CDM validity and mean profit was 77.25% and $23,942, respectively. Solar panel construction could make the effect of 14,094 $tonsCO_2$ mitigation annually and its CDM validity and mean profit was 64.68% and $228,487, respectively.

• 한국건축시공학회:학술대회논문집
• /
• 한국건축시공학회 2012년도 춘계 학술논문 발표대회
• /
• pp.265-266
• /
• 2012

Recently, preparing countermeasures about energy depletion and CO₂ emission progressing rapidly is considered as an urgent problem not only in domestic country but also in international countries. Among this, the requirement for the comfort development of in door environment is increasing according to housing culture and life environment changing. Thus, it is required urgently to save building energy and develop fusion technology maintaining comfort of indoor environment. Recently, energy-saving ways in saving heating and cooling energy by latent heat and thermal storage is considered significantly. In this study, keeping up with the times, thermal performance analyzed. Also, this study has the aim to draw materials for evaluating usefulness and efficiency.

• 한국시스템다이내믹스연구
• /
• 제14권4호
• /
• pp.91-112
• /
• 2013

This article aims at revealing the dynamic relationships between the energy R&D investment and economic growth in Korea. To achieve this goal, we reviewed the effects of energy R&D investments and tried to make the holistic interconnections for describing the feedback loops between energy R&D and economic system. Energy R&D investments develop the renewable energy, energy efficiency and $CO_2$ emission reductions technologies for accomplishing the national strategic targets. The rapid obsolescence of technologies makes the inefficiency and negative effects in governmental energy R&D investments.

• Spatial Information Research
• /
• 제22권4호
• /
• pp.89-102
• /
• 2014

우리나라에서 지역기반 원격근무센터의 설치와 운영은 시범적 초기단계로서, 재택근무에 대한 연구가 다소 이루어진 바 있지만, 지역기반에서 원격근무센터가 본격적으로 확대 보급되었을 때의 효과를 분석한 연구는 미비하다. 이에 본 연구에서 수도권 지역을 대상으로 원격근무센터의 설치를 통해 얻을 수 있는 출근 통행거리의 저감 효과를 네트워크를 기반으로 분석하고, 이를 통해 지역기반 원격근무센터의 $CO_2$ 저감효과를 정량적으로 산출하였다. 분석결과, 지역기반 원격근무센터로 인한 총 $CO_2$ 저감량은 1일 기준 911 톤(Ton)으로 나타났다. 이같은 분석 결과에 1년 근로일수(통계청)인 258일을 적용하면 연간 235,056톤(Ton)의 $CO_2$가 원격근무센터 설치에 의해 저감될 수 있다. 본 연구는 원격 근무센터 설치를 통해 얻을 수 있는 환경적 효용을 정량적으로 산출함으로써 향후 원격근무센터의 효과적 입지를 위한 가이드라인으로 활용이 가능하며, 행정구역별 비교를 통해 원격근무센터 확대 실시에 있어 우선순위 결정에 도움을 줄 수 있을 것이다.

• 한국자동차공학회논문집
• /
• 제21권4호
• /
• pp.106-112
• /
• 2013

Compression ratio is an important factor affecting engine performance and emission characteristics since thermal efficiency of spark ignition engine can be theoretically improved by increasing compression ratio. In order to evaluate the effect of compression ratio change in HCNG engine, natural gas engine was employed using HCNG30 (CNG 70 vol%, hydrogen 30 vol%). Combustion and emission characteristics of CNG and HCNG fuel was analyzed with respect to the change of compression ratio at each operating condition. The results showed that thermal efficiency improved and $CH_4$, $CO_2$ emission decreased with the increase in compression ratio while $NO_x$ emissions were decreased at a certain excess air ratio condition. Higher thermal efficiency and further reduction of exhaust emissions can be achieved by the increase of compression ratio and the retard of spark timing.

• KIEAE Journal
• /
• 제15권1호
• /
• pp.147-154
• /
• 2015

Environmental impact assessment techniques have been developed as a result of the worldwide efforts to reduce the environmental impact of global warming. By using the quantification method in the construction industry, it is now possible to manage the greenhouse gas is to systematically evaluate the impact on the environment over the entire construction process. In particular, the proportion of greenhouse gas emissions at the production stage of construction material occupied is high, and efforts are needed in the construction field. In this study, intended for concrete products for the construction materials, by using the LCA evaluation method, we compared the results of environmental impact assessment and carbon emissions of developing products that have been applied low-carbon technologies compared to existing products. As a result, by introducing a raw material of industrial waste, showed carbon reduction. Through a comparison of the carbon emission reduction effect of low-carbon technologies, it is intended to provide academic data for the evaluation of greenhouse gases in the construction sector and the development of low-carbon technologies of the future.