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reported as 1.7%–2.99%. Thus, the increase in output, η, using the proposed set up was
Ms. Rashmi Chawla || 457 low powered. The Fig. below illustrates the
working mechanism of the setup.
The experimental assessment of the proposed IoT-driven SES
reported a temperature drop
of 2°C, and an improvement in
1.6%–2.99% in output efficiency
was calculated considering
a power consumption of
1.996 W for temperatures
more than 25°C. In this case,
the power consumption of
1.996 W of the cooling unit
was calculated, which got
triggered by the controller
circuit and temperature
error generation circuit. The
reduction in temperature allows
the efficient capture of solar
radiation, thereby improving
net solar-to-electrical energy
conversion efficiency. The cooling unit was in a nonactivated mode for temperatures less than 25°C and greater than 40°C. The updated efficiency was calculated for the complete month, and 390.99 W additional power
was recorded and analysed. The resultant logged temperature data were obtained through automatic monitoring on the cloud via IoT and examined further to determine whether cooling was required. If temperature was found to be exceeding the reference value, cooling mechanism was activated. The solar panels under inspection were endorsed for a rise in temperature to enhance the output efficiency and the life of the solar module, too. At the outset of the research work, the return on investment (RoI) time was calculated with 2.44 INR per watt. With the addition of 390.99 W and an approximate cost of setup INR 3000, the RoI (time) for this work is around 3 months. We have assumed negligible energetic costs for operation and maintenance
for the RoI calculations.
The approximate drop by 2°C in the temperature was observed; it was > 25°C (25°C is considered to be the ideal temperature for the solar panel under standard test conditions). The increase in output, η, of solar PV, with respect to the PVsyst prediction model, after reducing power consumption was reported as 1.7%–2.99%.