• 한국태양에너지학회 논문집
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• 제27권1호
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• pp.19-27
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• 2007

The Data quality management system(DQMS) organizes and helps manage and process time sequence data usually collected in monitoring networks and programs. DQMS places particular emphasis on data qualify while maintaining a highly organized and convenient structure for data. It operates with in a flexible and powerful commercial relational data base environment which can readily link to other software platforms from local spreadsheets to network server. The Korea Institute of Energy Research(KIER) has been solar radiation data since May, 1991 for 16 different locations. KIER's new data is expected to be extensively used by designer and researchers of solar systems in lieu of unreliable old ones. Unfortunately, the quality of the data has not always been properly mentioned. The purpose of this study is to systematically identify errors in such data set using DQMS in an effort to rehabilitate error-ridden old data. DET successfully uncovered solar radiation data that had questionable quality.

• 한국관개배수논문집
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• 제19권1호
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• pp.87-96
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• 2012

Information of local solar radiation is essential for many field, including water resources management, crop yield estimation, crop growth model, solar energy systems and irrigation and drainage design. Unfortunately, solar radiation measurements are not easily available due to the cost and maintenance and calibration requirements of the measuring equipment and station. Therefore, it is important to elaborate methods to estimate the solar radiation based on readily available meteorological data. In this study, two empirical equations are employed to estimate daily solar radiation using Cheongju Regional Meteorological Office data. Two scenarios are considered: (a) sunshine duration data are available for a given location, or (b) only daily cloudiness index records exist. Simple linear regression with daily sunshine duration and cloudiness index as the dependent variable accounted for 91% and 80%, respectively of the variation of solar radiation(H) at 2011. Daily global solar radiation is highly correlated with sunshine duration. In order to indicate the performance of the models, the statistical test methods of the mean bias error(MBE), root mean square error(RMSE) and correlation coefficient(r) are used. Sunshine duration and cloudiness index can be easily and reliably measured and data are widely available.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2010년도 추계학술대회 초록집
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• pp.63.2-63.2
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• 2010

Solar radiation data are used in several forms and for a variety of purposes. The most detailed information we have is beam and diffuse solar radiation on a horizontal surface, by hours, which is useful in simulations of solar processes. Daily data are more often available and monthly total solar radiation on horizontal surface can be used in some process design methods. However, as performance is generally not linear with solar radiation, the use of average may lead to serious errors if non-linearities ara not taken into account. It is also possible to reduce radiation data to more manageable forms by statistical methods. The control of the quality of most measurements is relegated to the control of the measuring instruments and measuring processes themselves. An accurate measurement will usually result from the use of a high-quality instrument that has been accurately calibrated and is properly used by a qualified individual.

• 한국콘텐츠학회논문지
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• 제7권12호
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• pp.218-230
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• 2007

일사량 데이터의 측정값은 시간의 변화에 따라 변경되는 특성을 갖기 때문에 측정되는 원시 데이터의 양이 상당히 방대해진다. 따라서 일사량 데이터의 이력 정보를 체계적으로 저장 및 관리할 수 있는 데이터베이스의 구축과 일사량 데이터의 향후 변화 추이에 관한 예측 기법의 연구가 필요하다. 이 논문에서는 일사량 데이터의 이력정보를 저장하기 위한 데이터 저장구조를 제시하고, 시계열 분해법을 적용한 일사량 데이터의 변화 추이 예측 기법을 제안한다. 아울러 국내 20개 도시에서 측정된 데이터를 토대로 한 실험결과를 제시한다.

• 설비공학논문집
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• 제25권6호
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• pp.310-316
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• 2013

This study was designed to investigate a method for short-term, real-time energy demand prediction, to cope with changing loads for the effective operation and management of buildings. Through a case study, a novel methodology for real-time energy demand prediction with the use of weather forecasting data was suggested. To perform the input and output operations of weather data, and to calculate solar radiation and EnergyPlus, the BCVTB (Building Control Virtual Test Bed) was designed. Through the BCVTB, energy demand prediction for the next 24 hours was carried out, based on 4 real-time weather data and 2 solar radiation calculations. The weather parameters used in a model equation to calculate solar radiation were sourced from the weather data of the KMA (Korea Meteorological Administration). Depending on the local weather forecast data, the results showed their corresponding predicted values. Thus, this methodology was successfully applicable to anywhere that local weather forecast data is available.

• 환경영향평가
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• 제21권1호
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• pp.219-227
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• 2012

Daily solar radiation is essential for water resources planning and environmental impact assessment. However, radiation data is not commonly available in Korea other than in big cities, and there has been no direct measurement for rural areas where water resources planning and environmental impact assessment is usually most needed. In general, missing radiation data is estimated from nearby regional stations within a certain distance, and this study compared two dominant methods (modified Angstrom equation and transmittance interpolation method) at six stations in Nakdong River watershed area. Two methods shows a similar level of accuracy but the transmittance interpolation method is likely to be superior in that there is no need for any measurement element since the modified Angstrom equation require the sunshine hour measurement. This study will contribute to improve water resource and water quality management in Nakdong River watershed.

• 한국기후변화학회지
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• 제1권2호
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• pp.147-161
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• 2010

단일 기층의 모형 대기에 적용하기 위한 태양 복사 모델을 기준 모델(Line-by-Line Model: LBL)로 보정하여 2009년 1월부터 2009년 12월까지 한반도의 지표면 태양광 시공간 분포를 계산 및 분석하였다. 이 연구에 사용된 태양 복사 모델의 입력 자료는 기상청(KMA)의 수치모델 자료 그리고 위성자료로부터 도출된 오존 전량과 에어로졸 및 구름 자료 등이 사용되었다. 이 연구 기간 동안 4 km 간격으로 수평면에 대하여 한반도의 지표면 태양광을 계산하였고 그 결과를 지표면 일사 관측값들과 비교하였다. 그 결과 모델에 의하여 계산된 연 누적 태양광은 안동과 대구 및 진주를 연결하는 지역에서 최대값($5,400MJ/m^2$ 이상)이 나타났고 이 값들은 위성 관측 전운량 자료와 잘 일치하였다. 그러나 지표면 일사 관측 자료의 공간 분포는 모델 계산 결과와 차이가 있었으며 그 원인은 관측소 일사계의 보정 및 관리운영에 따른 자료 정확성 때문인 것으로 분석된다.

• Journal of international Conference on Electrical Machines and Systems
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• 제1권2호
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• pp.111-115
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• 2012

In this paper, a solar energy powered bicycle linked to a wireless sensor network (WSN) which monitors the transfer of solar energy to an electrical energy storage unit and an analysis of its effectiveness is proposed. In order to achieve this goal, a solar-powered bicycle with an attached ZigBee and a far-end wireless network supervisory system is setup. Experimental results prove that our prototype, solar energy powered bicycle, can achieve enough solar energy for charging a two lead-acid battery pack. As a result, the user, through use of a wireless network in the parking period can be kept aware of the data on the amount of immediate solar radiation, the degree of illumination, the ambient temperature, and electrical energy storage capacity information of the bicycle through an internet interface.

• 정보처리학회논문지D
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• 제10D권3호
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• pp.531-540
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• 2003

에너지 사용의 급증으로 인해 환경오염, 지구 온난화 현상, 오일 파동의 문제가 발생되고 있다. 이를 해결하기 위해 태양 에너지, 풍력, 소수력 등과 같은 대체에너지에 대한 관심이 매우 높아지고 있다. 미국, 유럽, 일본에서는 대체에너지원의 정보를 체계적으로 관리하고 활용하기 위한 시스템 개발에 많은 노력을 하고 있다. 그러나 국내에서는 아직 대체에너지 정보 시스템이 효과적으로 구축되지 못하고 있다. 따라서 이 논문에서는 일사량 에너지 데이터를 저장 및 관리하는 대체에너지 정보 시스템을 제안한다. 이 시스템은 ArcView GIS를 이용하여 구현되었으며, 다양한 시공간 질의를 사용한 데이터 검색이 가능하도록 하였다. 아울러 사용자는 질의 결과를 챠트, 그래프, 등고선과 같은 형태로 확인할 수 있다. 구현된 시스템은 ArcIMS를 이용하여 인터넷 웹 서비스를 제공한다.

• Journal of Electrical Engineering and Technology
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• 제9권5호
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• pp.1454-1470
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• 2014

This paper propose a new power conditioner topology with intelligent power management controller that integrates multiple renewable energy sources such as solar energy, wind energy and fuel cell energy with battery backup to make best use of their operating characteristics and obtain better reliability than that could be obtained by single renewable energy based power supply. The proposed embedded controller is programmed for maintaining a constant voltage at PCC, maximum power point tracking for solar PV panel and WTG and power flow control by regulating the reference currents of the controller on instantaneous basis based on the power delivered by the sources and load demand. Instantaneous variation in reference currents of the controller enhances the controller response as it accommodates the effect of continuously varying solar insolation and wind speed in the power management. The power conditioner uses a battery bank with embedded controller based online SOC estimation and battery charging system to suitably sink or source the input power based on the load demand. The simulation results of the proposed power management system for a standalone solar/WTG/fuel cell fed hybrid power supply with real time solar radiation and wind velocity data collected from solar centre, KEC for a sporadically varying load demand is presented in this paper and the results are encouraging in reliability and stability perspective.