• Title/Summary/Keyword: Solar panel. Energy

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A Study on the Energy Harvesting according to the porosity of Perforated Panel (타공 패널의 다공률에 따른 에너지 하베스팅에 관한 연구)

  • Park, Ha-Jun;Lee, Min-Hyup;Yoo, Moo-Young
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.113-114
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    • 2023
  • As the available resources are gradually depleted, interest in renewable energy is increasing. Various energy harvesting technologies are emerging, and energy harvesting using solar, solar, and wind power is used in the highest range. Depending on the abnormal climate, solar heat and solar power differ in energy harvest, but the wind is fixed compared to the sun. Therefore, it was intended to maximize the effect of energy harvesting by using the venturi effect, which has a change in wind speed according to the turbine used for wind power generation and wind pressure. Therefore, in this paper, we want to see the difference in the amount of power generated by the turbine after increasing the wind speed using the venturi effect.

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Development of the power supply system of single module type using solar energy (태양에너지를 이용한 단일 모듈 형태의 전원공급시스템 개발)

  • Ahn, In-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.658-661
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    • 2010
  • The application of solar energy with creation of new industry is becoming diversification together. In this paper, we implement power supply the system of the single module type using solar energy. Through the implementation, we improve performance of system and it will be able to use for a long time efficiently also in the place where the electrical supply is difficult.

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Neural Network Self-Organizing Maps Model for Partitioning PV Solar Power

  • Munshi, Amr
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.1-4
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    • 2022
  • The growth in global population and industrialization has led to an increasing demand for electricity. Accordingly, the electricity providers need to increase the electricity generation. Due to the economical and environmental concerns associated with the generation of electricity from fossil fuels. Alternative power recourses that can potentially mitigate the economical and environmental are of interest. Renewable energy resources are promising recourses that can participate in producing power. Among renewable power resources, solar energy is an abundant resource and is currently a field of research interest. Photovoltaic solar power is a promising renewable energy resource. The power output of PV systems is mainly affected by the solar irradiation and ambient temperature. this paper investigates the utilization of machine learning unsupervised neural network techniques that potentially improves the reliability of PV solar power systems during integration into the electrical grid.

A Study on the East/West Station Keeping Planning Considering Wheel Off-Loading (휠오프로딩을 고려한 동서 위치유지 기동 계획 연구)

  • 이상철;주광혁;김방엽;박봉규;박영웅
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.34 no.9
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    • pp.60-66
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    • 2006
  • Now, on developing COMS(Communication, Ocean and Meteorological Satellite) has solar panel on the south panel only. Therefore, the wheel off-loading has to be performed periodically to reduce a induced momentum energy by a asymmetric solar panel. One of two East/West station keeping maneuver to correct simultaneously longitude and eccentricity, orbit corrections may be performed during one of the two wheel off-loading manoeuvres per day to get enough observation time for meteorological and ocean sensor. In this paper, we applied a linearized orbit maneuver equation to acquire maneuver time and delta-V. Nonlinear simulation for the station keeping is performed and compared with general station keeping strategy for fuel reduction.

Utilization of Artificial Intelligence Techniques for Photovoltaic Applications

  • Juan, Ronnie O. Serfa;Kim, Jeha
    • Current Photovoltaic Research
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    • v.7 no.4
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    • pp.85-96
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    • 2019
  • Renewable energy is emerging as a reliable alternative source of energy, it is much safer, cleaner than conventional sources and has contributed significantly in this sector. However, there are still some challenges that needed to address this evolving technology. Artificial Intelligence (A. I.) can assess the past, optimize the present, and forecast the future. Therefore, A. I. will resolve most of these problems. Artificial intelligence is complex in nature, but it reduces error and aims to reach a greater degree of precision which make renewables smarter. This paper provides an overview of frequently used A. I. methods in solar energy applications. A sample algorithm is also provided for literature purposes and knowledge transfer.

Research on the Solar Concentrating Optical System for Solar Energy Utilization

  • Duan, Yimeng;Yang, Huajun;Jiang, Ping;Wang, Ping
    • Journal of the Optical Society of Korea
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    • v.17 no.5
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    • pp.371-375
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    • 2013
  • To improve the utilization efficiency of solar energy, a new solar optical concentrating system composed of a parabolic reflector with a square cross-section, a hyperbolic reflector with a square cross-section and two converging convex lenses has been designed. The proposed method can simultaneously focus and shape sun light into a square pattern on the solar panel. In addition, the total reflection property of photonic crystal within the range of the visible sunlight spectrum has been analyzed. Finally, the relationship between solar concentrating multiples and the diameter of the primary mirror has been discussed.

Experimental Study on Solar Air Collector with Perforated Endothermic Panels (흡열 다공판을 이용한 공기식 태양열 집열 유닛에 관한 연구)

  • Kim, Myoung-Jun
    • Journal of Advanced Marine Engineering and Technology
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    • v.34 no.4
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    • pp.455-459
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    • 2010
  • In recent years, the crisis of energy is growing seriously and also the contamination of ecology has been reverberated as international problem. The social concerns on energy crisis have been growing for the last several years and also the interests in new and renewable energy have been increased. Therefore, in order to solving these problems, this study has dealt with the solar air collector with perforated endothermic panel to increase the indoor temperature. And also, the PV panel for running indoor air circulating fan has used to increase the convective heat transfer. From this study, the inlet air temperature is increased up to 42[$^{\circ}C$]. This temperature is enough to heat the indoor air condition during winter season. And also the result revealed that the mixing effect of convection is increased with increasing in fan circulating power.

A Design of the Solar Tracker for LED Streetlight in Using Solar Cell (태양전지를 이용한 LED 가로등의 태양광 추적 장치 설계)

  • Lee, Ok-Jae
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.27 no.12
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    • pp.1-9
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    • 2013
  • A standalone LED lighting system in using solar energy has been used usually less than 70W of lighting power because of a troublesome installation and maintenance. In this system, as more and more LED lighting power increases, the capacity of photovoltaic panel does proportionally, and to improve the charging efficiency of solar energy, MPPT(Maximum Power Point Tracking) techniques is used frequently, but the solar tracker is not. In this paper, a solar tracker which traces the light of the sun in varying hour to hour is studied to apply to the standalone LED lighting system. This solar tracker consists of twin axis for tracing the azimuth and altitude respectively, and it has a robust structure with safe mode to stand a strong wind. As a result of analysis, generating efficiency of the traced type has improved on the fixed one 28.84% on average.

A Study on Automatic Solar Tracking Design of Rooftop Solar Power Generation System and Linkage with Education Curriculum (지붕 설치형 태양광 발전 시스템의 태양 위치 추적 구조물 설계 및 설치 실증 기법의 교육과정 연계)

  • Woo, Deok Gun;Seo, Choon Won;Lee, Hyo-Jai
    • Journal of Practical Engineering Education
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    • v.14 no.2
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    • pp.387-392
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    • 2022
  • To participate in global carbon neutrality, the Korean government is also planning to carry out zero-energy building certification for all buildings by 2030 through the enforcement decree of the 'Green Building Support Act'. Accordingly, the government is providing various projects related to solar power generation, which are relatively close to life. In particular, roof-mounted photovoltaic power generation systems are attracting attention in terms of using unused space to produce energy without destroying the environment, but low power generation efficiency compared to other photovoltaic power generation facilities is pointed out as a disadvantage. Therefore, in this paper, to solve this problem, we propose an efficient solar panel angle variable system through research on the solar panel structure for single-axial solar tracking, and also consider the application environment of the roof-mounted solar power generation system. Suggests measures to prevent damage and secondary damage. In addition, it is judged that it is possible to control the solar panel based on ICT convergence and configure the accident prediction safety system to link the project-based education program.

Optimal Operation Schedule of Semi-Fixed PV System and Its Effect on PV Power Generation Efficiency (반고정식 PV 시스템의 운영 스케줄 도출 및 그에 따른 발전 효율 변화 고찰)

  • Kwak, In-Kyu;Mun, Sun-Hye;Huh, Jung-Ho
    • Journal of the Korean Solar Energy Society
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    • v.37 no.6
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    • pp.69-77
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    • 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.