High Performance Mono-Crystalline 60W Solar Panel to Turkey Manufacturer
Short Description:
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Mono-Crystalline 60W Solar Panel
Technical parameter
Maximum Power(W) 60W
Optimum Power Voltage(Vmp) 18.46V
Optimum Operating Current(Imp) 3.25A
Open Circuit Voltage(Voc) 22.51V
Short Circuit Current(Isc) 3.57A
Mechanical Characteristics
Cell Type Mono-crystalline 125 x 83mm
No of Cell 36 (4x9pcs)
Dimensions 821x554x35mm
Weight 5.0Kg
Front Glass 3.5mm,High Transmission, Low Iron,Tempered Glass
Junction box IP65 Rated
Output Cable TUV 1×4.0mm2/UL12AWG,Length:900mm
Temperature and Coefficients
Operating Temperature(°C): -40°C ~ + 85°C
Maximum System Voltage: 600V(UL)/1000V(IEC) DC
Maximum Rated Current Series: 15A
Temperature Coefficients of Pmax: -0.47%
Temperature Coefficients of Voc: -0.389%
Temperature Coefficients of Isc: 0.057%
Nominal Operationg Cell Temperature (NOCT): 47+/-2°C
Materials of solar panel
1).Solar Cell——Mono-crystalline solar cell 125*83mm
2).Front Glass——-3.2mm, high transmission, low iron, tempered glass
3).EVA——-excellent anti-aging EVA
4).TPT——-TPT hot seal made of flame resistance
5).Frame——anodized aluminum profile
6).Junction Box——-IP65 rated, high quality, with diode protection
Superiority: high quality anodized aluminum frame, high efficiency long life, easy installation, strong wind resistance, strong hail resistance.
Features
1. High cell efficiency with quality silicon materials for long term output stability
2. Strictly quality control ensure the stability and reliability, totally 23 QC procedures
3. High transmittance low iron tempered glass with enhanced stiffness and impact resistance
4. Both Poly-crystalline and Mono-crystalline
5. Excellent performance in harsh weather
6. Outstanding electrical performance under high temperature and low irradiance
Quality assurance testing
Thermal cycling test
Thermal shock test
Thermal/Freezing and high humidity cycling test
Electrical isolation test
Hail impact test
Mechanical, wind and twist loading test
Salt mist test
Light and water-exposure test
Moist carbon dioxide/sulphur dioxide
This paper presents the improved model of solar photovoltaic module and back propagation neural network based maximum power point tracking (MPPT) for boost converter in a standalone photovoltaic system under variable temperature and insolation in static and dynamic conditions.Solar panel is a power source having nonlinear internal resistance. As the intensity of light falling on the panel varies, its voltage as well as its internal resistance both varies. To extract maximum power from the panel, the load resistance should be equal to the internal resistance of the panel. Maximum power point trackers are used to operate a photovoltaic panel at its maximum power point in order to increase the system efficiency. This is done, with the aid of MATLAB-7.6 environment and Artificial Neural Network (ANN).
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