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http://ir.futminna.edu.ng:8080/jspui/handle/123456789/12630
Title: | Performance Response to Ambient Parameters and Modelling of Polycrystalline Photovoltaic Module in Minna, Nigeria |
Authors: | Ezenwora, Joel Aghaegbunam Oyedum, Onyendi David Ugwuoke, P E |
Keywords: | Ambient; Module; Photovoltaic; Polycrystalline; Statistical-model |
Issue Date: | 2020 |
Publisher: | Book of Abstracts International Transdisciplinary Conference on Africa |
Abstract: | Outdoor characterisation and performance evaluation of Photovoltaic (PV) modules is needed for efficient PV power system. Outdoor assessment of polycrystalline silicon PV module was done in 32 North Central Nigeria, using Campbell Scientific CR1000 software-based data acquisition system. The PV module under test and meteorological sensors were installed on a metal support structure at the same test plane. The data monitoring was from 08.00 to 18.00 hours each day continuously for a period of one year. Maximum value of module efficiency of 10.91 % for the module was recorded at irradiance of 375 W/m2. At 1000 W/m2 the efficiency reduced to 6.20 %, as against manufacturer’s specification of 48 % for the module. The maximum power output achieved for the module at irradiance of 1000 W/m2 was 1.323 W representing 13.23 % of the manufacturer’s power specification for the module. Accordingly, Module Performance Ratio (MPR) for the PV module is 0.13. The rate of variation of module response variables with irradiance and temperature was determined using a linear statistical model given as . The coefficient of determination for the fits for the performance variables are: 69.1 %, 93.1 %, 62.4 % and 88.9 % for the open-circuit voltage, short-circuit current, power and maximum power respectively. The overall lack of fit tests for these performance variables is significant at probability, P value of 0.000, signifying good fits. The approach performed creditably as compared with measured data, therefore, it is resourceful. |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12630 |
Appears in Collections: | Physics |
Files in This Item:
File | Description | Size | Format | |
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Africa Day 2020 Event book 14.12.2020.pdf | Book of Abstracts | 2.97 MB | Adobe PDF | View/Open |
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