• 대한기계학회논문집A
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• 제28권2호
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• pp.174-180
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• 2004

If Fiber Reinforced Metal Laminates(FRMLs) were delaminated, the decrease of stiffness and fiber bridging effect would result in the sudden aggravation of fatigue characteristics. It was reported that the delamination of FRMLs resulted from the crack of metal layers and that it depended on the crack growth. While cracks were made in FRMLs containing a saw-cuts under fatigue loading, cracks could be produced or not in FRMLs with circular holes under the same condition. When the FRMLs with the circular holes produce not the crack but the delamination, it is not possible to analyze it by the conventional fracture parameters expressed as the function of the crack. And so, this research suggests a new analytical model of the delamination to make the comparison of the delamination behavior possible whenever the cracks occur or not. Therefore, a new analytical model called Pseudo Crack Model(PCM) was suggested to compare the delaminations whether cracks were made or not. The relationship between the crack energy consumption rate( $E_{crack}$) and the delamination energy consumption rate( $E_{del}$) was discussed and it was also known that the effect of $E_{del}$ was larger than that of $E_{crack}$.

• 한국가스학회지
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• 제22권2호
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• pp.29-33
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• 2018

전통시장, 지하상가 등에서는 많은 유동인구가 있고 가스 전기 설비가 동일구내에 설치되어 두 에너지원의 연관성에 의한 사고 가능성이 증대되고 있으며, 이러한 사고를 예방하고 신속 대응하기 위한 방안이 필요하다. 이 연구에서는 위험인자와 관련된 영향인자 센싱을 통해 사고예측을 하는 것을 목표로 한다. 전기적요인의 누설전류, 아크 등과 폭발사고 위험과 관련된 가스누출에 대해 IOT 센서를 통한 사고예방을 할 수 있는 안전관리 플랫폼 개발의 연구이며 이 논문에서는 가스 사고와 관련된 화재위험인자를 고려한 사고예측에 대한 연구내용이다. 이러한 사고위험을 예방하기 위해서 연소기 주위에서의 온도변화 특성 분석을 수행하였고, 이를 고려하여 화재를 예방할 수 있는 사고전조 알고리듬과 관련된 모듈을 개발하였다.

• Environmental Engineering Research
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• 제22권2호
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• pp.175-185
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• 2017

As the energy and environmental problems are increasingly severe, researches about carbon dioxide emissions has aroused widespread concern. The accurate prediction of carbon dioxide emissions is essential for carbon emissions controlling. In this paper, we analyze the relationship between carbon dioxide emissions and influencing factors in a comprehensive way through correlation analysis and regression analysis, achieving the effective screening of key factors from 16 preliminary selected factors including GDP, total population, total energy consumption, power generation, steel production coal consumption, private owned automobile quantity, etc. Then fruit fly algorithm is used to optimize the parameters of least squares support vector machine. And the optimized model is used for prediction, overcoming the blindness of parameter selection in least squares support vector machine and maximizing the training speed and global searching ability accordingly. The results show that the prediction accuracy of carbon dioxide emissions is improved effectively. Besides, we conclude economic and environmental policy implications on the basis of analysis and calculation.

• 대한기계학회논문집
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• 제6권2호
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• pp.121-132
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• 1982

Engine torque, specific fuel consumption and MBT spark advance of a domestic automotive engine fueled with methanal-gasoline blends or straight methanal were studied under steady state condition and compared to those obtained with gasoline. The effects of adding methanal to gasoline on engine performance were studied with or without any carburetor modification. At first, the engine was operated without any modification. Next, the diameters of metering orifices in carburetor were modified to give the same excess air factor regardless of fuel type under each fixed engine operating condition. Finally, the diameters of metering orifices in carburetor were modified to give the same excess air factor for 15% mixture of methanal in gasoline by volume as for gasoline with standard metering orifices in carburetor. The effects of adding methanal to gasoline on engine torque, specific energy consumption and MBT spark advance can be explained on the basis of change in stoichiometry caused by the addition of methanal to gasoline.

• 한국주거학회논문집
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• 제24권3호
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• pp.37-44
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• 2013

As household energy consumption has increased, serious environmental problems, such as resource depletion and global warming, are becoming global issues. It is essential to conduct the energy use of residents living in apartments in order to come up with alternative solutions for energy savings. Therefore, this study examined the energy use awareness of apartment residents and their energy use behavior by various types of awareness. To understand their energy use behavior according to the awareness of the subjects, the energy awareness dimension was created with five factors and they were subject to a cluster analysis; then, the subjects were categorized into three groups. Finally, the difference of energy use behavior was examined by groups of energy awareness. G1 represents the group that is indifferent to energy savings and believes that convenience is an important factor. Also, with respect to energy use behavior, this group tends to pursue convenience. G2 is the group that is conscious of energy use costs thereby enduring some inconvenience, and shows savings behavior in daily life and household affairs. Although, G3 is very aware of the significance for the necessity of energy saving, their energy saving behavior is relatively negative. Regarding these different characteristics of each resident group in their energy saving awareness and behaviors, diverse methods and promotion in energy education are required. Furthermore, an effective energy policy should be established based on the understanding of energy consumption.

• 설비공학논문집
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• 제25권3호
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• pp.150-155
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• 2013

Usually, a window tends to have a lower thermal performance, than that of an ordinary wall. This study analyzes the enhancement of thermal performance of a window, when a Thermal Insulation Shutter is installed. The analyses were conducted at the laboratory, and with a full-scale mockup house, and the U-factor and heating load were examined. The laboratory results show that the U-factor increased by approximately 28%, when a Thermal Insulation Shutter was installed. The temperature difference was about $5^{\circ}C$, and this shows that the Thermal Insulation Shutter enhances the thermal performance of the window, when installed. The mockup house was used to calculate the heating load; the heating load was reduced by more than 41%, and shows that the installation of a Thermal Insulation Shutter is an effective way to reduce heating energy consumption.

• 한국농촌건축학회논문집
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• 제19권2호
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• pp.9-16
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• 2017

The study analyzed the heat losses and the building energy efficiency grade by the energy simulation using the ENERGY# and ECO2 programs for the three types of Standard design of rural houses. It was calculated the energy efficiency rating by the ECO2 program for the rural housing standard design, and the energy demand and the energy consumption by each factor were compared and analyzed. And it analyzed energy consumption by element of each house by ENERGY # program. As a result, first in the evaluation of the energy efficiency grade of buildings by the ECO2 program, the rating for primary energy requirement for the housing newly built by the standard design of rural house is expected to range from 2 to 4 with 189.3 to $238.7kWh/m^2.a$. Second, the energy loss of each part of standard design of rural housing occurs in the order of ventilation 39%, window 33%, outer wall 14%, roof 9%, bottom 5%, and energy loss through ventilation and window occurs more than 70%. Third, the most beneficial effects on the energy efficiency grade is obtained the lowest grade of all three types by 2 when the lowering of the window and door heat transmission rate and the lowering of the light density, and the heat exchange ventilation device is not installed. Fourth, in the standard design of rural housing, the energy demand is occupied by heating > hot water > lighting order, and the order of the weight is changed in order of heating > lighting > ventilation > hot water. Fifth, building energy efficiency assessment system needs to establish policy for fixing rural housing energy as a practical device to ensure energy performance and quality.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 하계학술발표대회 논문집
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• pp.1243-1248
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• 2008

$CO_2$ emission amount and characteristics of combined heat and power (CHP) plant in industrial complex of Korea is evaluated by using the fuel analysis method. Fuel analysis methods of several foreign countries and developed one which is developed considering the operation characteristics of the surveyed CHP plants are used. The operation data is surveyed for all of the CHP plants in industrial complex and is composed of fuel consumption amount, generation, sale and efficiency of heat and electricity, condensed steam enthalpy, and etc of the each CHP.

• Journal of Biosystems Engineering
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• 제16권4호
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• pp.372-383
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• 1991

This study was performed to find out optimum drying conditions of red pepper to minimize energy consumption and drying time, respectively, under the quality constraint using Box's complex method. The results from this study are summarized as follows. 1. From the optimization results for the drying process, energy consumption was minimized at the drying condition to minimize drying time. 2. The optimization results according to drying method was found out to be greatly affected by the quality constraint of red pepper. Especially, the turning point to change drying stage was a very important factor in the drying method with two stages.

• 한국폐기물자원순환학회지
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• 제35권8호
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• pp.770-776
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• 2018

This study measured the energy recovery rate of each municipal waste incineration facility according to the revised energy recovery rate estimation method, which targeted four municipal waste incineration facilities (Unit No. 7). The results calculated by the measuring instruments were used for each factor to estimate the recovery rate, and the available potential of available energy was examined by analyzing the energy production and valid consumption. As a result of the low heating value, 2,540 kcal/kg was calculated on average when the LHVw formula was applied, which is approximately 116 kcal/kg higher than the average design standard of 2,424 kcal/kg. The energy recovery rate was calculated as 96.9% on average based on production and 67.5% based on effective consumption, and the analysis shows that approximately 29.4% energy can be used.