• Current Photovoltaic Research
• /
• 제10권1호
• /
• pp.6-15
• /
• 2022

Climate change is among the most important issues facing mankind in modern society. However, global PV energy expansion has been driven mainly by OECD countries. We investigate the determinants of PV energy growth by panel data of selected OECD countries from 1991 to 2018. We investigate four categories of driving factors: socioeconomic, technological, country specific, and policy factors. The test results support that PV capacity growth is significantly driven by technology development and multidimensional environment policy factors. Socioeconomic factors such as CO₂, GDP, and electricity price are statistically significant on the growth of PV energy, too. Whereas, country-specific solar potential factor is the least related. As most of the socioeconomic factors are exogenous, we need to focus more on PV technology development and policy measures.

• 한국공간구조학회논문집
• /
• 제8권6호
• /
• pp.85-94
• /
• 2008

본 논문은 국내 외 PV 통합 프로젝트를 구조 디자인의 시각에서 평가한 논문이다. 국내 외 대표사례를 공공시설과 전시시설로 구분하여 국내 사례 3가지, 해외사례 3가지의 대표 사례를 들었다. 평가항목은 건축물과의 자연스러운 통합, 엔지니어링디테일, 혁신적인 새로운 설계의 항목으로 평가하고 그 결과를 비교 분석하였다. 국내의 공공시설 및 전시시설은 주로 옥상층에 독립지지방식을 사용한 사례가 많았으며 아직 디자인적 통합부분에서는 미흡함을 알 수 있었다. 하지만 전시시설은 건축물 설계단계에서부터 PV 패널을 염두에 둔 사례들이 증가하고 있었다. 그에 비해 해외 공공시설 및 전시시설의 경우는 주로 모듈 접합방식을 사용하면서 구조적인 통합과 디자인적 통합을 동시에 이루었으며 사용하는 PV패널의 종류도 좀 더 다양함을 알 수 있었다.

• 전력전자학회논문지
• /
• 제20권6호
• /
• pp.498-508
• /
• 2015

In the simulation of photovoltaic (PV) power conditioning systems, PSIM is a widely accepted circuit simulation platform because of its fast speed and C-code support. PSIM provides two kinds of generic PV panel models: functional model and physical model. Whereas the functional model simulates PV in the standard test condition (STC) only, the physical model can emulate changing PV characteristics under varying temperatures and irradiation conditions and is thus more suitable for system simulation. However, the physical model requires complicated parameters from users, and thus it is prone to errors and is difficult to use. In this study, a new PSIM model for PV is presented to solve these problems. The proposed model utilizes manufacturers' datasheet values specified under STC only and excludes user-defined information from input parameters. To achieve good accuracy even in varying environmental conditions, single-diode model parameters are successively tuned to a time-varying virtual datasheet. Comparison with a conventional physical model shows that the proposed model provides more accurate simulation according to error analysis based on the EN50530 standard.

• 한국태양에너지학회 논문집
• /
• 제37권6호
• /
• pp.69-77
• /
• 2017

The amount of solar irradiation obtained by a photovoltaic (PV) solar panel is the major factor determining the power generated by a PV system, and the array tilt angle is critical for maximizing panel radiation acquisition. There are three types of PV systems based on the manner of setting the array tilt angle: fixed, semi-fixed, and tracking systems. A fixed system cannot respond to seasonal solar altitude angle changes, and therefore cannot absorb the maximum available solar radiation. The tracking system continually adjusts the tilt angle to absorb the maximum available radiation, but requires additional cost for equipment, installation, operation, and maintenance. The semi-fixed system is only adjusted periodically (usually seasonally) to obtain more energy than a fixed system at an overall cost that is less than a tracking system. To maximize semi-fixed system efficiency, determining the optimal tilt angle adjustment schedule are required. In this research, we conducted a simulation to derive an optimal operation schedule for a semi-fixed system in Seoul, Korea (latitude $37.5^{\circ}$). We implemented a solar radiation acquisition model and PV genereation model on MATLAB. The optimal operation schedule was derived by changing the number of tilt angle adjustments throughout a year using a Dynamic Algorithm. The results show that adjusting the tilt angle 4 times a year was the most appropriate. and then, generation amount of PV system increased 2.80% compared with the fixed system. This corresponds to 99% compared to daily adjustment model. This increase would be quite valid as the PV system installation area increased.

• Journal of Advanced Marine Engineering and Technology
• /
• 제34권5호
• /
• pp.625-631
• /
• 2010

최근 몇 년간 에너지 위기에 대한 우려가 급격히 증가하고 있으며, 방대한 에너지소비에 따른 환경오염도 큰 문제로 대두되고 있다. 사회적으로 에너지 위기가 고조되고 있는 가운데 새로운 에너지나 신재생에너지에 대한 관심이 증가하고 있다. 본 연구는 이러한 문제를 해결하는 하나의 수단으로 태양에너지를 적극적으로 이용하기 위한 태양광발전시스템의 발전효율을 상승시키는 일환으로 대류열전달의 향상을 도모한 실험을 수행한 결과를 정리한 논문이다.

• 한국측량학회지
• /
• 제34권6호
• /
• pp.619-627
• /
• 2016

Cells of a PV (photovoltaic) module can suffer defects due to various causes resulting in a loss of power output. As a malfunctioning cell has a higher temperature than adjacent normal cells, it can be easily detected with a thermal infrared sensor. A conventional method of PV cell inspection is to use a hand-held infrared sensor for visual inspection. The main disadvantages of this method, when applied to a large-scale PV power plant, are that it is time-consuming and costly. This paper presents an algorithm for automatically detecting defective PV panels using images captured with a thermal imaging camera from an UAV (unmanned aerial vehicle). The proposed algorithm uses statistical analysis of thermal intensity (surface temperature) characteristics of each PV module to verify the mean intensity and standard deviation of each panel as parameters for fault diagnosis. One of the characteristics of thermal infrared imaging is that the larger the distance between sensor and target, the lower the measured temperature of the object. Consequently, a global detection rule using the mean intensity of all panels in the fault detection algorithm is not applicable. Therefore, a local detection rule was applied to automatically detect defective panels using the mean intensity and standard deviation range of each panel by array. The performance of the proposed algorithm was tested on three sample images; this verified a detection accuracy of defective panels of 97% or higher. In addition, as the proposed algorithm can adjust the range of threshold values for judging malfunction at the array level, the local detection rule is considered better suited for highly sensitive fault detection compared to a global detection rule. In this study, we used a panel area extraction method that we previously developed; fault detection accuracy would be improved if panel area extraction from images was more precise. Furthermore, the proposed algorithm contributes to the development of a maintenance and repair system for large-scale PV power plants, in combination with a geo-referencing algorithm for accurate determination of panel locations using sensor-based orientation parameters and photogrammetry from ground control points.

• 한국산학기술학회논문지
• /
• 제21권5호
• /
• pp.585-591
• /
• 2020

최근 정부정책에 따른 원자력 발전의 감축과 신재생에너지의 급속한 보급확대에 따라 국내 태양광 발전 설치가 급격히 확대되고 있다. 이러한 태양광 발전 설비의 급속한 증가는 필연적으로 신재생에너지 산업에서의 폐기물 증가로 이어진다. 그러나 현재 신재생에너지 분야에서 발생한 폐기물에 대한 국내 사후 관리 시스템 구축에 대한 정책 논의는 미비하다. 동 연구는 태양광 패널 재활용 산업의 비용 및 편익을 추정하고 한국의 태양광 폐기물 재활용 정책에 대한 시사점을 도출하고자 한다. 동 연구의 결과에 따르면, 태양광 패널 재활용 사업의 실행 기간이 10년일 경우, 재활용 프로젝트의 수익성이 매우 낮다는 결론이 도출된다. 반면 재활용 프로젝트의 기간이 20년으로 연장될 경우, 2030년 이후 국내 태양광 폐기물의 총 용량이 크게 증가하여 규모의 경제로 인해 프로젝트의 경제 효율성이 충분히 높아질 수 있다는 결론을 도출하였다. 태양광 패널 재활용 사업의 경우 단기적으로는 경제적 효율성이 매우 낮기 때문에 민간 기업의 자발적 사업 참여를 기대하기 어렵다. 따라서 재활용 사업의 경제성 향상 및 관련 산업 활성화를 위한 다양한 정부의 정책마련이 긴요하다. 이를 위해서는 i) 폐태양광 패널의 재활용을 위한 법률 제정, ii) 태양광 패널 폐기물 모니터링 및 비용관리를 위한 협회 지정, iii) 태양광 패널 재활용 관련 R & D 수립 및 재활용과 관련된 다양한 비즈니스 모델 개발 등의 정책 마련이 필요하다.

• 한국태양에너지학회 논문집
• /
• 제25권4호
• /
• pp.85-92
• /
• 2005

One of the most effective methods for utilizing solar energy is to combine thermal solar and optical energy simultaneously using a hybrid panel. Many systems using various kinds of photovoltaic panels have already been constructed. But utilizing solar energy by means of a hybrid panel with concentrator has not been to be attempted yet. Normally if sunlight is directed on the solar cell, and there is no increase in temperature, the absorption energy of each cell will increase per unit area. In a silicon solar cell. however, cell conversion efficiency decreases according to the increasing temperature. Therefore, to maintain cell conversion efficiency under normal condition, it is necessary to keep the cell at operating temperature. we design and make new hybrid panel with cooling system to prevent increasing of temperature on cell, collect effectively thermal energy. We compared performance of new hybrid panel with PV module and thermal panel. We also evaluated conversion efficiency, electric power and thermal capacity and confirmed cooling effect from thermal absorption efficiency.

• Journal of Electrical Engineering and Technology
• /
• 제10권4호
• /
• pp.1389-1399
• /
• 2015

This research suggests maximum power point tracking (MPPT) for the solar photovoltaic (PV) power scheme using a new constant voltage (CV) fractional order incremental conductance (FOINC) algorithm. The PV panel has low transformation efficiency and power output of PV panel depends on the change in weather conditions. Possible extracting power can be raised to a battery load utilizing a MPPT algorithm. Among all the MPPT strategies, the incremental conductance (INC) algorithm is mostly employed due to easy implementation, less fluctuations and faster tracking, which is not only has the merits of INC, fractional order can deliver a dynamic mathematical modelling to define non-linear physiognomies. CV-FOINC variation as dynamic variable is exploited to regulate the PV power toward the peak operating point. For a lesser scale photovoltaic conversion scheme, the suggested technique is validated by simulation with dissimilar operating conditions. Contributions are made in numerous aspects of the entire system, including new control algorithm design, system simulation, converter design, programming into simulation environment and experimental setup. The results confirm that the small tracking period and practicality in tracking of photovoltaic array.

• 전력전자학회논문지
• /
• 제25권1호
• /
• pp.1-5
• /
• 2020

Solar power generation systems require maximum power point tracking (MPPT) control to operate PV panels at their maximum power point (MPP). Most conventional MPPT algorithms are based on the slope-tracking concept. A typical slope-tracking method is the perturb and observe (P&O) algorithm. The P&O algorithm measures the current and voltage of a PV panel to find the operating point of the voltage at which the calculated power is maximized. However, the measurement error of the sensor causes irregularity in the calculation of the generated power and voltage control. This irregularity leads to the problem of not finding the correct MPP operating point. In this work, the power output of a PV panel based on the P&O algorithm is simulated by considering the insolation profiles from typical clear and cloudy weather conditions and the errors of current and voltage sensors. Simulation analysis suggests the optimal control period and perturbation voltage of MPPT to maximize its target efficiency under real weather conditions with sensor tolerance.