The explicit model of the energy yield with respect to irradiance and cell temperature of a photovoltaic (PV) system can be apprehended using pvsyst software. Building on this data, this paper addresses performance challenges for JA Solar, JAP6 (DG) 60-235 solar PV module driving a load of Enphase, IQ6-60-x-240 grid inverter. The data modeling reflects correlation of 62% between panel temperature and output efficiency. Researchers in the past have claimed that extreme temperature exposure as one of the main impediment in decline of solar panel's life span and figured 25 °C as the ideal temperature for optimum yield. This research proposes the Internet of things (IoT)-based smart solar energy system (SES) for smart cities that automatically tune the low-powered cooling unit to lower panel's temperature to outmatch energy yield and augment solar panels life. The analog design of the cooling mechanism is set up for temperature range from −10 °C to 85 °C using hybrid op-amp proportional–integral–derivative (PID) controller and heat sink/fan with surface mount temperature sensor to maintain module temperature. The experiment analysis showed improvement of 1.7% to 2.99% in output efficiency after considering 1.8 W total power intake of the cooling circuit relative to the pvsyst v6.74 results. To access temperature data of solar panel and output current along with in-built system's current consumption, IoT accreditation is done using node MCU and Wi-Fi module.
Issue Section:
Alternative Energy Sources
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