• Journal of Environmental Science International
• /
• v.26 no.4
• /
• pp.509-519
• /
• 2017

The study focuses on 32 environmental facilities in Incheon Metropolitan City, South Korea, categorizes them by sector: sewage treatment, wastewater treatment, incineration, landfill, water purification, and water supply. Their GHG reduction results are analyzed through quantitative and qualitative measures for 2012 to 2015. The study surveys and examines GHG reductions of the environmental facilities for two categories - facility operation and management. The findings are as follows: First, the GHG reduction rate, an emission-to-allocation ratio, from 2012 to 2015 is 89.67%. Second, GHG reductions coming from qualitative measures of facility management are even greater than those from quantitative measures of facility operation. Third, GHG reductions through facility operation are mostly attributable to overhauls, less use of facilities, resources recycling, process improvement rather than the betterment of fuels, facilities and energy efficiency. Fourth, higher reduction can be achieved by effective facility management, qualitative measures.

• KIPS Transactions on Computer and Communication Systems
• /
• v.5 no.10
• /
• pp.353-360
• /
• 2016

Recently, solar photovoltaic(PV) power generation which generates electrical power from solar panels composed of multiple solar cells, showed the most prominent growth in the renewable energy sector worldwide. However, in spite of increased demand and need for a photovoltaic power generation, it is difficult to early detect defects of solar panels and equipments due to wide and irregular distribution of power generation. In this paper, we choose an optimal machine learning algorithm for estimating the generation amount of solar power by considering several panel information and climate information and develop a defect detection system by using the chosen algorithm generation. Also we apply the algorithm to a domestic solar photovoltaic power plant as a case study.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.65 no.9
• /
• pp.1577-1582
• /
• 2016

Now we are facing severe environmental issues such as global warming. Due to these, the concerns about eco-friendly energy have been increased. Kyoto protocol and Copenhagen climate change conference are circumstantial evidence of it. With these trends, the interests for the Electric Vehicles(EVs) which do not emit any harmful gases have gradually been raised. Unfortunately, however, massive connection of EVs to the power system could cause negative impacts such as voltage variations, frequency variations and increase of demand power. To prevent the mentioned issues, KEPCO adopts Time-of-Use(ToU) price for EVs charging. Nevertheless, it is important to verify the propriety of the charging system. In this paper, therefore, we used pre-introduced price elasticity concept to predict possible Demand Response(DR) on charging of EVs. And analyzed possible demand power increase according to various price elasticities. Simulation results show that given ToU based charging system would not enough to control the increase of demand power by EVs on the power system. It is concluded, therefore, additional methods and/or algorithms are required.

• Journal of the Korean Institute of Gas
• /
• v.17 no.1
• /
• pp.42-48
• /
• 2013

The global warming of the Korean Peninsula proceeds most rapidly in the world and its abnormal climate is more deepening. In the result of the surged electricity consumption by intense heat of summer and severe cold of winter, electricity supply and demand status is in hard situation. Currently, the supply of natural gas is increased because natural gas has the lowest greenhouse-gas emissions among the existed fossil fuel. Natural gas cooling has a lot of advantage such as decreasing electricity peak, reducing construction expenses in additional power plant, operating natural gas storage facilities efficiently, and playing a role as distributed generations. Therefore, this study analyzes the economic feasibilities of gas cooling as an alternative for electric power load management.

• Journal of Advanced Marine Engineering and Technology
• /
• v.34 no.3
• /
• pp.351-359
• /
• 2010

Bi-fuel system in a spark ignition engine (SIE) is a rising phenomena in today's automobile technology. In a gasoline driven vehicle, alternatively adoption of compressed natural gas (CNG) could be used as a potential substitute to meet the energy requirement and this is possible by some minor changes in the hardware of the existing engine. Gasoline engine is widely used in the passenger cars, light, medium and heavy duty vehicles but the consumption status of the petroleum is decreasing worldwide and at the same time environmental pollution from automobiles is seriously establishes as a threat for every nation in respect to global warming and climate changes. Now-a-days most vehicles operate using CNG for its popularity stems, clean burning properties and cost effective solution compared to other alternative fuels. It refers as a good gaseous fuel because of its high octane number and self ignition temperature. Though the power output is slightly lesser than the gasoline fuel; its thermal efficiency is better than the gasoline for the same SIE. The research paper highlights the reduction of CO, reasonable outcomes of HC emissions with minor increase in $NO_x$ emissions compared with the gasoline fuel to bi-fuel mode in the SIE that meets the emission challenges.

• Korean Management Science Review
• /
• v.33 no.4
• /
• pp.17-31
• /
• 2016

Waste sector has been a target of abatement policies by the most governments, even though its greenhouse gas (GHG) emission is not so high, since it is related to almost of other sectors. This study propose new GHG calculation equations which resolves logical contradiction of IPCC GL (Intergovernmental Panel on Climate Change Guideline) equations by including waste-to-energy effects. According to two GHG calculation equations, GHG emission inventory and BAU by the year 2050 have been computed. And GHG abatement potential and marginal cost for the five abatement policies carefully selected from the previous researches have been calculated for the year 2020. The policy that makes solid fuel like RDF from flammable wastes and uses them as combustion fuel of electricity generations has been found to be the most efficient and effective one among five policies. The cumulative abatement amount when five policies not mutually exclusive are applied sequentially has been reckoned.

• Proceedings of the Korean Society of Agricultural Engineers Conference
• /
• 2002.10a
• /
• pp.121-124
• /
• 2002

King Oyster(Pleurotus eryngii) is one of the most promising mushrooms produced on the domestic farms. The quality as well as quantity of King oyster is sensitively affected by micro climate factors such as temperature, relative humidity, $CO_2$ concentration, and light intensity. To safely produce high-quality King oysters year round, it is required that the environmental factors be carefully controlled by well designed structures equipped with various facilities and control systems. In this study, we are focusing on carrying out growing experiment to find out reasonable range of each environmental factor together with economic and safe structures influencing on the optimal productivity of king oyster mushroom. The optimal productivity will be evaluated by considering the quality and quantity of mushroom production, energy requirements, facility construction and management cost, etc.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.62 no.2
• /
• pp.1-15
• /
• 2020

In this study, the characteristics of crop damage area by flooding for 113 middle range watersheds during 2000-2016 were analyzed and future crop damage area by flooding were analyzed using 13 GCM outputs such as hourly maximum rainfall, 10-min maximum rainfall, number of days of 80 mm/day, daily rainfall maximum, annual rainfall amount associated with RCP 4.5 and RCP 8.5 scenarios and watershed characteristic data such as DEM, urbanization ratio, population density, asset density, road improvement ratio, river improvement ratio, drainage system improvement ratio, pumping capacity, detention basin capacity, and crop damage area by flooding. A constrained multiple linear regression model was used to construct the relationships between the crop damage area by flooding and other variables. Future flood index related to crop damage may mainly increase in the Mankyung watershed, Southwest part of Youngsan and Sumjin river basin and Southern part of Nackdong river basin. Results are useful to identify watersheds which need to establish strategies for responding to future flood damage.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.59 no.2
• /
• pp.49-55
• /
• 2017

Recently climate change and urbananization have been increased surface runoff, resulting in flooding. Retention basins have been constructed to control urban flooding by reducing peak flow rate. Recently, the retention basin plays a role in controlling combined sewer overflows (CSOs) as well as urban flooding. In this study, the retention basin with a rotatable bucket was suggested and scale down experiments was performed for the optimum design of the retention basin. Scaled down model was produced using a 3D printer after it was designed as law of similarity. Two times for operating a rotary bucket is required to sweep out the sediments deposited on the bottom of the basin. Optimized dimensions for the retention basin were width of 5 m, height of 5 m, bucket radius of 0.5 m, and bottom slope of 5.0 %. It can be concluded that the results obtained from this study can be used to design the retention basin with a rotatable bucket which does not require energy to operate.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.1
• /
• pp.301-311
• /
• 2020

With the recent global urban issues such as climate change, urbanization, and energy problems, the smart city was proposed as one of the solutions in urban planning. This study introduces the smart city initiatives of South Korea by examining the recent history of smart city policies and their limitations. This case study reflects the experience of one of the countries which thrived to building smart cities as their national key industries to drive economic growth. It also analyzes the trends of the smart city using big data analysis techniques. Although there are obstacles such as economic recession, failing to differentiate from the U-city, low service level than expected smart functionality, We could recognize the current status of the smart city policies in South Korea such as 1) Korean smart city development projects are actively implemented, 2) public consensus suggests that applying advanced technology and the active role of government need, 3) a comprehensive and strategic approach with the integration and application of advanced technologies is required as well, 4) investment by both private and public sectors need to deliver social improvements. This study suggests future direction of smart city polity in South Korea in the conclusion.