• Title/Summary/Keyword: Solar Panel Power

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Power Output in Various Types of Solar Panels in the Central Region of Korea (한국 중부 지역의 태양광 모듈 타입에 따른 발전량 특성)

  • Chang, Hyo Sik
    • Journal of the Korean Solar Energy Society
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    • v.38 no.1
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    • pp.37-44
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    • 2018
  • Solar panels are modules made up of many cells, like the N-type monosilicon, P-type monosilicon, P-type multisilicon, amorphous thin-film silicon, and CIGS solar cells. An efficient photovoltaic (PV) power is important to use to determine what kind of cell types are used because residential solar systems receive attention. In this study, we used 3-type solar panels - such as N-type monosilicon, P-type monosilicon, and CIGS solar cells - to investigate what kind of solar panel on a house or building performs the best. PV systems were composed of 3-type solar panels on the roof with each ~1.8 kW nominal power. N-type monosilicon solar panel resulted in the best power generation when monitored. Capacity Utilization Factor (CUF) and Performance Ratio (PR) of the N-type Si solar panel were 14.6% and 75% respectively. In comparison, N-type monosilicon and CIGS solar panels showed higher performance in power generation than P-type monosilicon solar power with increasing solar irradiance.

Solar Cells Characteristics Tester

  • Jirawath, Parnklang;Amnard, Jenjirodpipat;Santi, Hanklar
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.511-511
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    • 2000
  • The equipment is used for testing the electrical characteristics of solar cells that were connected to be a solar panel, which can be found anywhere of solar power plant. This device was built from power switch devices f3r sinking the high current of the solar panel. The processor is a controller, which controls the quantity of the current, which flow through the switching devices and collect the characteristic of the solar panel. The tester can measure the current, voltage, temperature, and light intensity, which are main factors that affect the electrical characteristics of solar cells. 12 bits resolution signal converter is used to change the measuring levels so we can change measuring levels to 4096 levels, and these data are stored in tile memory. The equipment can also calculate the maximum power of the solar system panel.

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Research on Variable Constant Current Efficiency Measuring Device for Solar Panel to Reuse (태양광 패널 재사용을 위한 가변 정전류 기반의 효율 측정장치에 관한 연구)

  • Sang-Jin Woo;Dae-Heon Kim;Jae-Jin Lee;Oh-Min Kwon
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.1
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    • pp.9-17
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    • 2023
  • This paper relates to the development of a device for measuring the efficiency of a solar panel based on a variable constant current, and proposed a standard for reuse of the solar panel. By applying a variable constant current circuit to a solar panel efficiency measuring device, it was easy to apply a maximum power point tracking (MPPT) algorithm. In addition, a load dispersion method was applied to measure the efficiency of a high-capacity solar panel. and it is possible to solve a problematic thermal runaway during a MOSFET parallel operation by applying the load dispersion method. As a result of the experiment, the solar panel efficiency measuring device was able to accommodate a large solar panel of 350W, which is the maximum measurement goal. In this paper, the validity was confirmed through the 310W solar panel efficiency measurement experiment collected after removal.

Design of DC OPTIMIZER for Maximum Power Generation System of Solar Panel (태양광 패널의 최대 전력 발생 시스템을 위한 DC OPTIMIZER 설계)

  • Kim, Jeong Gyu;Yang, Oh
    • Journal of the Semiconductor & Display Technology
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    • v.17 no.1
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    • pp.40-44
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    • 2018
  • In this paper, the efficiency of the solar system is lowered due to the partial shading such as the environmental factors of the solar panel. In order to solve this problem, a DC OPTIMIZER is proposed for a maximum power generation system of a photovoltaic panel. The proposed DC OPTIMIZER is composed of a buck structure that performs the maximum power point tracking (MPPT) control of each module of the solar panel, thus maximizing the efficiency. In order to verify the proposed DC Optimizer, the efficiency was measured by varying the irradiance using a solar simulator instead of the solar panel. As a result, it showed high efficiency characteristics as the maximum energy conversion efficiency was 99.3% at $800w/m^2$, $900w/m^2$, and the average efficiency was 99.06% excluding $100w/m^2$. The maximum efficiency of MPPT was 99.97% at $200w/m^2$, efficiency showed excellent performance.

Tracking System for Optimum Solar Power System of Widely Separated Cave (고립원격지 동굴 전원용 태양광발전 광 추적 시스템)

  • Suh, Oh-Ji;Soh, Dea-Wha
    • Journal of the Speleological Society of Korea
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    • no.89
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    • pp.27-33
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    • 2008
  • Solar energy is most green and clean, unlimited and sustainable energy source on the earth. It is almost 97% of imported consumer energy in Korea. Because of resource poor nation, it is necessary to do their best to make alternative energy to allot their deficiency of the matter in hand of energy resources of petroleum. In a point of view of this problems, the natural solar energy should be improved by any methods as much, possible as we need. Photovoltaic generation with solar tracking system for obtaining optimal power is one of most benefit equipment to improve power of solar-cell panel producing clean electric power efficiently. Solar tracker is a device for orienting a solar photovoltaic panel toward the sun perpendicularly to sunlight, especially in widely separated place. For this reason, we are very interested in developing the equipment system of tracker, specially in solar cell applications, obtaining a high degree of accuracy to ensure that the optimal sunlight could be directed precisely against to the powered device. As a result, it was obtained of 12.46 volts at 90$^\circ$toward solar panel and 9.44 volts at 45$^\circ$, furthermore, improved efficiency more than 30% of average output voltage between tracker system (12.41V) and fixed system (8.55V), respectively. It is also very useful for optimum power system of widely separated cave.

A Study on the Design of Wired and Wireless Communication System for Solar Panel Optimizer (태양광 패널 최적기의 유선 및 무선 통신 시스템 설계에 관한 연구)

  • Yang, Oh
    • Journal of the Semiconductor & Display Technology
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    • v.18 no.2
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    • pp.32-37
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    • 2019
  • In this paper, we have designed a solar photovoltaic system to attach solar photovoltaic modules to each module and develop the best efficiency in each module. The efficiency of the designed solar panel optimizer was more than 99.27% and MPPT efficiency of 99.66%. In addition, the monitoring of power generation and abnormal operation phenomenon in each optimum period and tracking for failure location of specific photovoltaic module have improved the utilization rate of photovoltaic power generation. Wired and wireless communication methods has been proposed to monitor the power generation and operation status of the solar panel optimizer. For this purpose, the RS485 communication was used for wire communication and Zigbee communication was used for wireless communication to monitor the status of each module in real time. It is shown that communication redundancy can be achieved through the proposed method, and the possibility of commercialization is suggested.

Predicting the Power Output of Solar Panels based on Weather and Air Pollution Features using Machine Learning

  • Chuluunsaikhan, Tserenpurev;Nasridinov, Aziz;Choi, Woo Seok;Choi, Da Bin;Choi, Sang Hyun;Kim, Young Myoung
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.222-232
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    • 2021
  • The power output of solar panels highly depends on environmental situations like weather and air pollution. Due to bad weather or air pollution, it is difficult for solar panels to operate at their full potential. Knowing the power output of solar panels in advance helps set up the solar panels correctly and work their possible potential. This paper presents an approach to predict the power output of solar panels based on weather and air pollution features using machine learning methods. We create machine learning models with three kinds set of features, such as weather, air pollution, and weather and air pollution. Our datasets are collected from the area of Seoul, South Korea, between 2017 and 2019. The experimental results show that the weather and air pollution features can be efficient factors to predict the power output of solar panels.

Designed and Performance Analysis of High Efficiency Concentrated Photovoltaic System using III-V Compound Semiconductor (III-V 화합물 반도체를 이용한 고효율 집광형 태양광 발전시스템 설계 및 성능분석)

  • Ko, Jae-Hong
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.26 no.9
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    • pp.33-39
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    • 2012
  • For photovoltaic power generation need certainly decreasing module's price and increasing promote efficiency technology. Almost of solar panel is on the decrease energy efficiency since 2,000. like silicone(Si) solar panel, thin film solar panel and etc. Silicone(Si) solar panel was best efficiency in 1999. It's 24%. But after that time, It didn't pass limit of energy efficiency. That's why, nowadays being issued that using III-V compound semiconductor to high efficiency of concentrating photovoltaic system for making an alternative proposal. In Korea, making researches in allied technology with III-V compound semiconductor solar panel, condenser technology, and solar tracker. but feasibility study for concentrating photovoltaic power generation hasn't progressed yet. This thesis made a plan about CPV(Concentrating Photovoltaic)system and CPV has a higher energy efficiency than PV(Photovoltaic)system in fine climate conditions from comparing CPV with using silicone(Si) solar panel to PV's efficiency test result.

Additional power conservation in 200W power plant with the application of high thermal profiled cooling liquid & improved deep learning based maximum power point tracking algorithm

  • Raj G. Chauhan;Saurabh K. Rajput;Himmat Singh
    • Advances in Energy Research
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    • v.8 no.3
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    • pp.185-202
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    • 2022
  • This research work focuses to design and simulate a 200W solar power system with electrical power conservation scheme as well as thermal power conservation modeling to improve power extraction from solar power plant. Many researchers have been already designed and developed different methods to extract maximum power while there were very researches are available on improving solar power thermally and mechanically. Thermal parameters are also important while discussing about maximizing power extraction of any power plant. A specific type of coolant which have very high boiling point is proposed to be use at the bottom surface of solar panel to reduce the temperature of panel in summer. A comparison between different maximum power point tracking (MPPT) technique and proposed MPPT technique is performed. Using this proposed Thermo-electrical MPPT (TE-MPPT) with Deep Learning Algorithm model 40% power is conserved as compared to traditional solar power system models.

A Study on the Optimal Voltage for MPPT Obtained by only Surface's Temperature of Solar Cell (태양전지 온도 센싱만을 통한 태양광 발전시스템의 최적 운전전압에 관한 연구)

  • Minwon Park;In-Keun Yi
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.4
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    • pp.269-275
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    • 2004
  • Photovoltaic(PV) system has been studied and watched with keen interest due to a clean and renewable power source. But, the output power of PV system is not only unstable but uncontrollable, because the maximum power point tracking (MPPT) of PV system is still hard with the tracking failure under the sudden fluctuation of irradiance. Authors suggest that the optimal voltage for MPPT be obtained by only solar cell temperature. Having an eye on that the optimal voltage point of solar cell is in proportion to its panel temperature, with operating the power converter whose operating point keeps its input voltage to the optimal voltage imagined by the surface's temperature of PV panel, the maximum power point becomes tenderly possible to be tracked. In order to confirm the availability of the proposed control scheme. And both control methods are simulated not only on the various angle of sampling time of switching control, but also with the real field weather condition. As the results of that, the conversion efficiency between PV panel and converter of the proposed control scheme was much better than that of the power comparison MPPT control, and what is better, the output voltage of PV panel was extremely in stable when the optimal voltage for MPPT is obtained by only solar cell temperature.