研究目的
Investigating the positioning features and performance changes of polycrystalline, monocrystalline, and amorphous silicon modules relative to the focus points of concentrator photovoltaic modules under real meteorological conditions using a dual tracking system.
研究成果
The study concluded that the performance insensitivity thresholds of monocrystalline, polycrystalline, and amorphous silicon modules depend on the direction of the alignment changes. The most indifferent orientation was north-south, while the most sensitive settings were north-west, south-west, south-east, and north-east orientations. The results provide guidance for the tracking error values of solar tracking sensors and may contribute to economically optimal investments in solar tracking systems.
研究不足
The study's limitations include the specific geographic location of the experiment, the focus on only three types of photovoltaic technologies, and the potential influence of reflected radiation from the surroundings on the results.
1:Experimental Design and Method Selection:
The study used a dual-axis tracking system to examine the performance of photovoltaic modules under real meteorological conditions. The modules were moved step by step to differ in inclination by up to 30° compared to the ideal focus point position.
2:Sample Selection and Data Sources:
The experiment was conducted at the measuring station of the University of Pannonia Georgikon Faculty, Hungary, on fourteen different days in the summers of 2017, 2018, and
3:List of Experimental Equipment and Materials:
20 The setup included polycrystalline, monocrystalline, and amorphous silicon modules, a dual-axis tracking system, and various measurement devices like pyranometers, data loggers, and sensors for environmental and technical data collection.
4:Experimental Procedures and Operational Workflow:
Measurements of PV performance and irradiance were made by altering the inclination of the PV module towards different directions. The performance output for each position was measured over 10 seconds.
5:Data Analysis Methods:
Data were analyzed using Microsoft Excel, PicoScope, Matlab, and SPSS Statistics software. Polynomial regression models were created to describe the performance of modules as a function of solar tracking uncertainties.
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Eppley Black and White Model 4–48 Pyranometer
Model 4–48
The Eppley Laboratory, Inc.
Measurement of radiation intensity
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Voltcraft VC607
VC607
Conrad Electronic SE
Calibration of the current and the voltage
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LT1021
LT1021
Linear Technology Corporation
Precision reference for calibration
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GB HOBO
GB HOBO
Onset Computer Corporation
Collection of environmental and technical data
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CR1000
CR1000
Campbell Scientific, Inc.
Measurement and control datalogger
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PicoLog 1012
PicoLog 1012
Pico Technology
Data acquisition system
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PicoLog 1216
PicoLog 1216
Pico Technology
Data acquisition system
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Hukseflux LP02 pyranometers
LP02
Hukseflux Thermal Sensors B.V.
Measurement of radiation intensity
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EMS 11 Silicon PV detector
EMS 11
Energy XPRT
Measurement of global horizontal irradiation
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HYTE-ANA-1735
HYTE-ANA-1735
B+B Thermo-Technik GmbH
Measurement of air humidity
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OTT TRH relative humidity sensor
OTT TRH
OTT Hydromet GmbH
Measurement of relative humidity
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Pt 100 sensors
Pt 100
Conrad Electronic SE
Detection of PV module and air temperatures
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LM 35-based precision thermometer
LM 35
B+B Thermo-Technik GmbH
Calibration of the measuring circuit
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