• Title/Summary/Keyword: data analysis-solar system

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The Operating Characteristics Analysis of Utility Interactive PV Power Generation System (계통연계형 태양광 발전시스템의 운전특성 분석)

  • 이현우;고강훈
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.17 no.6
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    • pp.23-30
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    • 2003
  • This paper analyzes the characteristic of utility connection type solar power generation system which it is available to connect the utility. And the operation characteristic of this system is compared and analyzed when it is operated in the real system. The constructional and operational problem were obtained by that result. Overcoming that defect is that finding the proper place to be well operated and to find the best place for getting the sunshine data. This method could increase the efficiency of the generation system. And more, current OS in operating system and monitoring management couldn't solve the problem so that improving OS and constructing data backup system should be implemented, This paper proposes the plan to solve that defect in the real system.

Performance Analysis of long term operation for photovoltaic system (태양광발전시스템의 장기운전에 의한 성능변화 분석)

  • Kim, EuiHwan;Kim, Jungsam
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.05a
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    • pp.110.1-110.1
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    • 2011
  • This study analyzed the performance of long term operation photovoltaic system The 50 kWp grid connected photovoltaic system which was installed at KEPRI site in 1999 has been operated more than 12 years. In order to acquire long term operation characteristics of medium size photovoltaic system, the operation test data related on power generation electricity and capacity factor of 50 kWp system, which have been collected since 1999, were analysed. From the analysing results, 57.7 MWh in annual power generation electricity of 50 kWp photovoltaic system in 1999 has been decreased 49.1 MWh in 2005 and reached 38.0 MWh in 2010. In addition to, the capacity factor of 50 kWp photovoltaic system also showed 13.2 % in 1999, 11.2% in 2005 and finally reached 8.8% in 2011. The operation test data showed a trend of decreasing of generation electricity and capacity factor during the 12 years operation time and we guessed that was caused by solar cell performance degradation and decreasing of PCS system efficiency.

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Analysis on Thermal Performance of BIPV in Spandrel (스펜드럴부 적용 BIPV 모듈의 열 특성 분석)

  • Kim, Ha-Ryeon;Kim, Jin-Hee;Kang, Gi-Hwan;Yu, Gwon-Jong;Kim, Jun-Tae
    • 한국태양에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.364-369
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    • 2011
  • Recently, the cases of BIPV(Building-integrated Photovoltaic) have been increased with interest in renewable energy application for buildings. PV System in building can perform a variety of roles as an energy supplier, exterior materials, aesthetic element and etc. To apply PV modules in buildings, various factors should be considered, such as the installation angle and orientation of PV module, shading, and temperature. The temperature of PV modules that are attached to building surfaces especially is one of the most important factors, as it affects both the electrical efficiency of a PV module and the energy load in a building. BIPV modules designed as finished material for spandrels are presented in this paper. The purpose of this study is to analysis on the thermal performance characteristics of BIPV modules. This study dealt with different types of BIPV modules depending on the backside material, such as clear glass and backsheet. The analysis of monitoring data shows that the PV module temperature was closely related to the solar radiation on the BIPV module surface, and the BIPV used at the backside also had an effect on the PV module temperature that in turn determines its thermal performance.

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Virtual In-situ Sensor Calibration and the Application in Unitary Air Conditioners (유닛형 공기조화기 센서의 가상보정 방법 및 적용 특성 분석)

  • Yoon, Sungmin;Kim, Yong-Shik
    • Journal of the Korean Solar Energy Society
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    • v.38 no.6
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    • pp.65-72
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    • 2018
  • Since data-driven building technologies have been widely applied to building energy systems, the accuracy of building sensors has more impacts on the building performance and system performance analysis. Various building sensors, however, can have typical errors including a random error (noise) and a systematic error (bias). The systematic error is indicated by the difference between the mean of measurements and their true value. It may occur due to the sensor's physical condition, measured phenomena, working environments inside the systems. Unfortunately, a conventional calibration method has limitations in calibrating the systematic errors because of the difference between working environments and calibration conditions. In such situations, a novel sensor calibration method is needed to handle various sensor errors, especially for systematic errors, in building energy systems having various thermodynamic environments. This study proposes a building sensor calibration method named Virtual In-situ Calibration (VIC) and shows how it is applied into a real building system and how it solves the sensor errors.

A Comparison of the ASHRAE Simplified Energy Analysis Procedure with the HASP/ACLD Results (간이 에너지 계산법과 동적 열부하 계산법의 비교 연구)

  • Kim, D.C.;Choi, J.H.;Won, Y.S.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.1 no.3
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    • pp.210-218
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    • 1989
  • The ASHRAE Simplified Energy Analysis Procedure using the Modified Bin Method(SEAP) is compared with the hourly calculation program, HASP/ACLD. The HASP/ACLD model office building with VAV system in Seoul is used as the basis for comparison. And the parameters considered are glass to wall area ratio and internal heat gains. The results show that SEAP predictions of annual energy use agree with HASP/ACLD predictions within 5% deviation. But there is a large difference in cooling and heating energy as glass to wall area ratio is varied. The SEAP cooling energy is 65-85% and the heating energy is 104-160% of the HASP/ACLD results. This is probably due to the solar heat gain data. the data related to the SEAP must be developed prior to use it.

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Development of Real Time Smart Structure Monitoring System for Bridge Safety Maintenance using Sensor Network (센서 네트워크 기반 실시간 교량 안전관리를 위한 지능형 구조 건전성 모니터링시스템 개발)

  • Jo, Byung-Wan;Kim, Heon;Lee, Yun-Sung;Kim, Do-Keun
    • The Journal of the Korea Contents Association
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    • v.16 no.2
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    • pp.221-230
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    • 2016
  • As structures' long term performances and users' safety have been highlighted, a new maintenance technique using IT has drawn attention around the globe. Therefore, throughout the paper, by analyzing bridge's static and dynamic data using wireless measuring sensor, a "real time smart bridge monitoring system" has developed. Smart bridge monitoring system is consists of three main parts a sensor that can measure major members' movement, a wireless system that informs the data from the sensor, and the database system that analysis the data. In order to test the performance of the system, five different were placed on the Olympic Bridge, Seoul. The power system of the sensors was replaced by self-sustain solar energy system. In order to validate data from the real time smart bridge monitoring system, the data was collected for a week from both wireless system and the wired system and the two data were compared to see the relevance.

Classification of Wind Sector for Assessment of Wind Resource in South Korea (남한지역 풍력자원 평가를 위한 바람권역 분류)

  • Jung, Woo-Sik;Kim, Hyun-Goo;Lee, Hwa-Woon;Park, Jong-Kil;Lee, Soon-Hwan;Choi, Hyun-Jung;Kim, Dong-Hyuk
    • 한국태양에너지학회:학술대회논문집
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    • 2008.11a
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    • pp.318-321
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    • 2008
  • We classified wind sectors according to the wind features in South Korea. In order to get the information of wind speed and wind direction, we used and improved on the atmospheric numerical model. We made use of detailed topographical data such as terrain height data of an interval of 3 seconds and landuse data produced at ministry of environment, Republic of Korea. The result of simulated wind field was improved. We carried out the cluster analysis to classify the wind sectors using the K-means clustering. South Korea was classified as 10 wind sectors which have a clear wind features.

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The Development of GIS-based Small Hydropower Package Tool (GIS기반 소수력 Package Tool 개발)

  • Heo, June-Ho;Jeong, Sang-Man;Park, Wan-Soon;Lee, Chul-Hyung
    • 한국태양에너지학회:학술대회논문집
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    • 2009.04a
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    • pp.139-144
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    • 2009
  • The generation of small hydropower as compared to other different developed environmental methods produces one of the clean energies. In such manner, various application system development through IT technique is being developed for an advanced small hydropower energy resources data mining. However, existing data analysis of New & Renewable Information System for small hydropower resources application is incomplete therefore it limits expressing these information on the Web. Thus for positive usage of small hydropower resources, a more systematic and precise analysis system should be built. This study seeks to develop a map of the domestic small hydropower resources problems to further improve small hydropower resources, developed through Package Tool which can accurately evaluate a wide range of small hydropower basin in a short period of time. Small hydropower Package Tool was calculated using existing Analysis System small hydropower resources which did not provide diverse capabilities resulting to 840 standard basin classified by A and facility capacity, etc., and to assume a 40% annual capacity, expected annual electricity production was calculated. Small hydropower for the national water system of small hydropower resources potential calculated in terms of resources for the development of small hydropower will be utilized as basic data.

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Development of Fault Diagnosis Algorithm using Correlation Analysis and ELM (상관성 분석과 ELM을 이용한 태양광 고장진단 알고리즘 개발)

  • Lim, Jae-Yoon;Ji, Pyeong-Shik
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.65 no.3
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    • pp.204-209
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    • 2016
  • It is difficult to establish accurate modeling of PV power system because of various uncertainty. However, it is important work to modeling of PV for fault diagnosis. This paper proposes modeling and fault diagnosis method using correlation analysis and ELM(Extreme Learning Machine). Rather than using total data, we select optimal time interval with higher corelation between PV power and solar irradiation. Also, we use average value during 60 minute to avoid rapid variation of PV power. To show the effectiveness of the proposed method, we performed various experiments by dataset.

Comparative Analysis of Surface Heat Fluxes in the East Asian Marginal Seas and Its Acquired Combination Data

  • Sim, Jung-Eun;Shin, Hong-Ryeol;Hirose, Naoki
    • Journal of the Korean earth science society
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    • v.39 no.1
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    • pp.1-22
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    • 2018
  • Eight different data sets are examined in order to gain insight into the surface heat flux traits of the East Asian marginal seas. In the case of solar radiation of the East Sea (Japan Sea), Coordinated Ocean-ice Reference Experiments ver. 2 (CORE2) and the Objectively Analyzed Air-Sea Fluxes (OAFlux) are similar to the observed data at meteorological stations. A combination is sought by averaging these as well as the Climate Forecast System Reanalysis (CFSR) and the National Centers for Environmental Prediction (NCEP)-1 data to acquire more accurate surface heat flux for the East Asian marginal seas. According to the Combination Data, the annual averages of net heat flux of the East Sea, Yellow Sea, and East China Sea are -61.84, -22.42, and $-97.54Wm^{-2}$, respectively. The Kuroshio area to the south of Japan and the southern East Sea were found to have the largest upward annual mean net heat flux during winter, at -460- -300 and at $-370--300Wm^{-2}$, respectively. The long-term fluctuation (1984-2004) of the net heat flux shows a trend of increasing transport of heat from the ocean into the atmosphere throughout the study area.