• Applied Chemistry for Engineering
• /
• v.20 no.4
• /
• pp.355-362
• /
• 2009

Fuels based on petroleum will eventually run out in the near future. DME (Di-methyl Ether) is a clean energy source that can be manufactured from various raw materials such as natural gas, coal as well as biomass. As DME has no carbon-carbon bond in its molecular structure and is an oxygenate fuel, its combustion essentially generates no soot as well as no SOx. Because the physical properties of DME are similar to those of LPG, the LPG distribution infrastructure can be converted to use with DME. DME has such high cetane number of 55~60 that it can be used as a diesel engine fuel. Practical use of DME as a next-generation clean fuel or next-generation chemical feedstock is advancing in the fields of power generation, diesel engines, household use, and fuel cells, among others. The purpose of this paper is review the characteristics, standardization, status of research and development in domestic and foreign countries of DME.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.10 no.4
• /
• pp.57-62
• /
• 2010

Renewable energy and smart grid become the focus of attention of industry. The smart grid is an intelligent system which maximizes the efficiency of energy and it needs to monitor the amount of power generation and power consumption continuously. Remote Monitoring System(RMS) is very useful for monitoring the power generation and consumption, but mostly they are implemented on the wire communication. In this paper, we propose a wireless sensor network based remote power monitoring system. And as an application, a new anti-islanding method with the proposed RMS is presented. An experimental micro grid system is implemented to verify the proposed RMS and anti-islanding method.

• Journal of Engineering Education Research
• /
• v.13 no.3
• /
• pp.11-17
• /
• 2010

Korea plans to be the world's first country to transform its electricity network into "smart grids," which use information and operational technologies to help to facilitate the reduction of carbon emissions, make more efficient use of existing infrastructure/resources through meeting customer demand/less generation, and support renewable resources with real time monitoring and controls. In this situation, universities do the needful on priority to nurture smart grid engineers who will be responsible for state-of-the-art technologies as today's electric grid transitions to a digital network. This paper thus attempts to permanently turn out high-quality human resources in electrical engineering by fleshing out strategies for training smart electric grid engineers, based on lessons from a national undertaking of nurturing qualified power IT engineers starting on February 1 of 2007.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.2 no.3
• /
• pp.3-8
• /
• 2009

Environmental pollution caused by fossil fuel use and energy sources, the big concern is the rise of the current situation, one of the ways to overcome the interest in renewable energy is Gozo. Located on the west coast, especially the Saemangeum area and the northwest wind, the big advantage of the vast area that's got quite a number of wind turbines is expected. This study affirms that these expectations can be a wind energy resource survey sea area of the average wind speed of Kunsan 5 ~ 7m / s is enough, books are linked to the local marine wind farms can safely say that none of choejeokji said. In addition, the emergence of the wind resource to determine the density of the Weibull distribution is calculated using the number 1, the shape factor as a parameter to calculate the density of the wind a result, Gunsan Province was able to predict the emergence of the wind. In addition, by controlling the remote monitoring through the measurement exceeded the convenience and reliability at the same time you can achieve great results.

• Journal of the Korean Crystal Growth and Crystal Technology
• /
• v.32 no.1
• /
• pp.40-44
• /
• 2022

Wet etching of α-Ga₂O₃ epitaxy film was performed using a 35 % hydrochloric (HCl) acid solution. As the temperature of the 35 % HCl solution increased, the α-Ga₂O₃ etch rate increased, and the etch rate of 119.6 nm/min was obtained at 75℃, the highest temperature examined in this work. The activation energy for etch reaction was determined to be 0.776 eV, and this suggests that the wet etching of α-Ga₂O₃ in the 35 % HCl solution was dominated by the reaction-limited mechanism. AFM analysis showed that the surface roughness of the etched surface increased as the temperature of the etchant solution increased.

• Journal of Energy Engineering
• /
• v.25 no.3
• /
• pp.114-129
• /
• 2016

Since the release of mid-term domestic GHG goals until 2020, in 2009, some various GHG reduction policies have been proposed to reduce the emission rate about 30% compared to BAU scenario. There are two types of modeling approaches for identifying options required to meet greenhouse gas (GHG) abatement targets and assessing their economic impacts: top-down and bottom-up models. Examples of the bottom-up optimization models include MARKAL, MESSAGE, LEAP, and AIM, all of which are developed based on linear programming (LP) with a few differences in user interface and database utilization. The bottom-up model for electric sector requires demand management, regeneration energy mix, fuel conversation, etc., thus it has a very complex aspect to estimate some various policies. In this paper, we suggest a bottom-up BAU model for electric sector and how we can build it through step-by-step procedures such that includes load region, hydro-dam and pumping storage.

• Journal of Digital Convergence
• /
• v.12 no.3
• /
• pp.243-248
• /
• 2014

Recently, solar energy is expanding to combination of computing in real time by tracking the position of the sun to estimate the angle of inclination and make up freshly correcting a part of the solar radiation. Solar power is need that reliably linked technology to power generation system renewable energy in order to efficient power production that is difficult to output predict based on the position of the sun rise. In this paper, we analysis of prediction model for solar power generation to estimate the predictive value of solar power generation in the development of real-time weather data. Photovoltaic power generation input the correction factor such as temperature, module characteristics by the solar generator module and the location of the local angle of inclination to analyze the predictive power generation algorithm for the prediction calculation to predict the final generation. In addition, the proposed model in real-time national weather service forecast for medium-term and real-time observations used as input data to perform the short-term prediction models.

• Journal of Advanced Marine Engineering and Technology
• /
• v.39 no.4
• /
• pp.381-386
• /
• 2015

Environmental pollution and alternative energy has attracted increasing interest. The use of diesel engines is expected to increase in the world owing to their fuel economy. The problem of air pollution emissions from marine engines is causing a major concern in many areas. An alternative fuel was introduced as an environmentally friendly fuel to reduce the toxic emissions from conventional fossil fuels. Biodiesel fuel, which is a renewable energy is highlighted as environmentally friendly energy. This energy can be operated in regular diesel engines when it is blended with invariable ratios without making changes. In this study, a bio-diesel fuel was produced from waste cooking oil and applied to a marine diesel engine to examine the effects on the characteristics of combustion. Waste cooking oil contains a high cetane number and viscosity component, a low carbon and oxygen content. As a result, the brake specific fuel consumption was increased, and the cylinder pressure, rate pressure rise and rate of heat release were decreased.

• Journal of the Korea Convergence Society
• /
• v.10 no.8
• /
• pp.105-113
• /
• 2019

Convergence education, which is operated by many engineering colleges, is mainly led by government-led projects. Convergence majors are established in consideration of the research field of the university professors rather than systematically analyzing the needs of the industry. The purpose of this study is to present the directions of convergence technology education related to new industry fields by analyzing industry needs. Participants were 299 industrial workers in various fields. Instrument consisted of three parts: necessity for convergence education, demand for convergence new technology education from industry perspective, and opinions about undergraduate convergence education. As a result, it was found that the level of awareness of industry needs for fusion technology education was high, and it was confirmed that there is a high demand for IoT convergence, bio-health, advanced new material, and renewable energy fields among convergence technology fields. In addition, the results of the industry demand for convergence new technology education were presented. The suggestions for expectations, problems, and improvements in undergraduate education were presented and implications for convergence technology education were discussed based on the results of the study.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.11
• /
• pp.294-304
• /
• 2019

Abstract Greenhouse Gas (GHG) emissions from agriculture and forestry sources in the energy sector have been estimated based on a top-down approach, which is an efficient way to estimate GHG emissions with the limited number of emission factors and activity data. On the other hand, for GHG abatement policies, more detailed information and data on GHG emissions are required. This study discusses how to improve the estimates of GHG emissions from the agricultural and forestry sources in the energy sector. To this end, this paper reviews the current estimation method of GHG emissions and presents three suggestions to enhance the current method. First, the development of country specific emission factors and corresponding activity data is proposed based on the 2006 IPCC Guidelines, National Greenhouse Gas Inventory Reports from other countries, and Domestic Statistics. Second, the uncertainty in CO₂ emissions from agriculture in energy sector based on 2006 IPCC Guidelines is estimated, and ways of reducing the uncertainty in CO₂ emissions are suggested. Finally, a potential way to reflect the GHG emissions from the use of renewable energy is suggested.