• Particle and aerosol research
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• v.17 no.3
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• pp.55-69
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• 2021

Chungnam region accounts for the largest SO_X (22.8%) emission with the second-largest NO_X (10.8%) emission in Korea due to the integration of many large industrial sources including a steel mill, coal-fired power plants, and petrochemical complex. Air pollutants emitted by large industrial sources can cause harmful problems to humans and the environment. Thus, it is necessary to understand dispersion patterns of air pollutants from large industrial sources in Chungnam to characterize atmospheric contamination in Chungnam and the surrounding area. In this study, seasonal atmospheric dispersion characteristics for SO_X, NO_X, and PM2.5 from ten major point sources in Chungnam were evaluated using HYSPLIT 4 model, and their contributions to SO₂, NO₂ concentrations in the regions near the source areas were estimated. The predictions of the HYSPLIT 4 model show a seasonal different dispersion pattern, in which air pollutants were dispersed toward the southeast in winter while, northeast in summer. In summer, due to weaker wind speed, air pollutants concentrations were higher than in winter, and they were dispersed to the metropolitan area. The local emissions of air pollutants in Taean area had a greater influence on the ambient SO₂ and NO₂ concentrations at Taean, whereas SO_X and NO_X emissions from large sources located at Seosan showed relatevely little effect on the ambient ambient SO₂ and NO₂ concentrations at Seosan.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2902-2909
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• 2011

Regional torrential rains in summer this year due to abnormal climate changes compared to last year, have been frequent. Since Typhoon Rusa and Typhoon Maemi resulted in major damage to railroad facilities in 2002 and 2003 consecutively, problems with abnormal climate changes became a global problem including railroad and floods and droughts around the globe, heavy snow and winter warming have been repeated until now. Serious problem of radiation leakage in Fukushima nuclear power plant by the Tsunami due to 9.0-scale earthquake, this year in March, in northeastern Japan happened, and has given an impact on the life of Japanese citizens and industries and has also influenced on Korean. This shows how important to secure and to protect major national facilities including railroad structures to natural disasters such as earthquake. Therefore, we will briefly discuss about technologies for securing and protecting railroad structures to earthquakes, floods and other natural disasters.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.938-941
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• 2003

In this paper we develop an equipment which prevents vehicles from overheating their inside due to exposure to direct sunlight in summer. Overheating of inside vehicle may give rise to accidents, for instances, dying from suffocation, the deformation of its internal equipment and the explosion from the cracks of its internal parts etc.. The equipment is operated under no starting engine. We adjust the overheating of the inside vehicle by operating the equipment. This equipment checks the temperature of the inside vehicle using temperature sensor. If the temperature increases more than reference temperature(a condition which can be given by the driver), the equipment will operate until the temperature of the inside decreases to the given temperature. Its power is obtained from solar cell. So the equipment keeps away overheating accidents as well as provides the drivers with optimized condition. And also it increases the ability of original car battery through solar cell.

• Proceedings of the KIEE Conference
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• 2008.09a
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• pp.305-307
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• 2008

Inundation of substation and ground power equipment breaks out every summer season in low-lying downtown and low-tying shore by heavy rain, typhoon and tidal wave. In case inundation excluding the exchanging cost of equipment, it occurs a great economic and social loss owing to recovery time and events of electric shock occur by inundation electrical equipment (Pad-mounted Transformer and Switch). So we research the flooding prevention countermeasures of electrical facility and Transformer Vault on Foreign. We conform the site facility and related regulation for flooding prevention on Foreign.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.9
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• pp.1359-1363
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• 2017

In this study, the Relux program was simulated for optimum conditions of daylight and artificial light sources(LED) in the glass greenhouse. From the results of daylight simulation, the optimum design conditions for the glass greenhouse were established which were 90[o] installation angle and higher transmittance. In this case of growing lettuce in the glass greenhouse, the control method of the only artificial light source was compared that of daylight and LED. The result of illumination simulation produced a power consumption effect of 37.2[%] in the summer and 51.9[%] in the winter, respectively. From this results, we propose to suggest that we grow the lettuce in the energy saving glass greenhouse.

• Proceedings of the KIEE Conference
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• 1992.07b
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• pp.1045-1047
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• 1992

Photovoltaics is considered to be one of the most promising technologies which can greatly contribute to future energy supply because of a large, secure, essentially inexhaustible and broadly available resource - sunlight. However, recent progresses in photovoltaics make also possible its short-term practical application in some areas. Among them the solar air conditionner powered by photovoltaic system attracts considerable interest due to its main advantage which consists in the reduction of drastically increasing electricity peak load in summer season. In this review paper our current study on the solar air conditionner will be briefly summarized.

• Environmental Engineering Research
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• v.14 no.1
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• pp.13-18
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• 2009

In this study, specific pollutant releases during the Asian monsoon season were estimated and the information was applied to the non-point pollutant sources management from two forested watersheds of the Soyang Lake. The two watersheds are part of the 2,703 km2 Soyang Lake watershed in the northern region of the Han River. The outlets of the two watersheds were respectively analyzed for continuous water quality concentration and for discharge during various single rainfall events. Statistical power function methods are utilized to compare stream discharge and pollutant flux release during the study period. Based on the monitoring data during the study period, the specific load flux method using simulated discharge was conducted and validated in the two watersheds. The model predictions corresponded well with the measured and calculated pollutant releases. The modeling approach taken in this study was found to be applicable for the two forested watersheds.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.295-297
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• 2000

In case of power demand forecasting the most important problem is to deal with the load of special-days, Accordingly, this paper presents a method that forecasting special-days load with regression models and neural networks. Special-days load in summer season was forecasted by the multiple regression models using weekday change ratio Neural networks models uses pattern conversion ratio, and orthogonal polynomial models was directly forecasted using past special-days load data. forecasting result obtains % forecast error of about $1{\sim}2[%]$. Therefore, it is possible to forecast long and short special-days load.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.11
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• pp.559-567
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• 2002

This paper presents the general recommendations for the overload criterions of mineral-oil-immersed distribution transformers rated 100kVA and less. For this purpose, we analyze the characteristics of top-oil temperature rising for mineral-oil-immersed power distribution transformer rated 100kVA and less, manufactured in Korea, In order to analyze the characteristics of top-oil temperature rising due to the distribution transformer loading, we performed experiments at KERI (Korea Electrical Research Institute) from December 2000 to May 2001. The restraint of ambient temperatures for the experiment results is solved using the results of foreign standards. Finally, we present the overload criterions of distribution transformer for summer and winter season, respectively.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1522-1522
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• 1999

This paper proposes the methods of short-term load forecasting using Kohonen neural networks and back-propagation neural networks. Historical load data is divided into 5 patterns for the each seasonal data using Kohonen neural networks and using these results, load forecasting neural network is used for next day hourly load forecasting. Normal days and holidays are forecasted. For load forecasting in summer, max-, and min-temperature data are included in neural networks for a better forecasting accuracy. To show the possibility of the proposed method, it was tested with hourly load data of Korea Electric Power Corporation. (1993-1997)