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      Experimental Study on Performance Enhancement of a Photovoltaic Module Incorporated with CPU Heat Pipe—A 5E Analysis

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          Abstract

          As is already known, solar photovoltaic (PV) technology is a widely accepted technology for power generation worldwide. However, it is scientifically proven that its power output decreases with an increase in the temperature of the PV module. Such an important issue is controlled by adopting a number of cooling mechanisms for the PV module. The present experimental study assesses the effect of a fanless CPU heat pipe on the performance of a PV module. The experiment was conducted in June in real weather conditions in Yekaterinburg, Russian Federation. The comparative analysis of two PV panels (i.e., cooled, and uncooled) based on the electrical energy, exergy performance, economic, embodied energy and energy payback (5E) for the two systems is presented and discussed. The key results from the study are that the average temperature reduction from the cooling process is 6.72 °C. The average power for the cooled panel is 11.39 W against 9.73 W for the uncooled PV panel; this represents an increase of 1.66 W for the cooled module. Moreover, the average improvements in the electrical efficiency, and embodied energy recorded for a cooled PV panel 2.98%, and 438.52 kWh, respectively. Furthermore, the calculations of the levelized cost of energy (LCE) for the cooled PV panel indicate that it can range from 0.277–0.964 USD/kWh, while that for the uncooled PV panel also ranges from 0.205–0.698 USD/kWh based on the number of days of operation of the plant.

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          On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations

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            A bird's eye view of Ghana's renewable energy sector environment: A Multi-Criteria Decision-Making approach

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              Energy and exergy analysis of photovoltaic–thermal collector with and without glass cover

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                Author and article information

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                Journal
                SENSC9
                Sensors
                Sensors
                MDPI AG
                1424-8220
                September 2022
                August 24 2022
                : 22
                : 17
                : 6367
                Article
                10.3390/s22176367
                673c0dfb-c0ed-4ad1-b6da-194593744445
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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