Abstract
This paper presents an open-source, ultra-low powered data-logger for off-grid photovoltaic (PV) energy systems. Deep-sleep mode of ESP32-S2 microcontroller is used along with voltage, current, and light sensors for logging the data of PV energy system to an external micro SD card. A toggle switch is used to switch the operational modes of data-logger between deep-sleep and web-server modes. Real-time PV data can be monitored in a local web-portal programmed in the microcontroller. The same web-portal is also used to check and download the historical data of a PV energy system. The energy consumption of the designed system is 7.33mWh during deep-sleep mode and 425mWh during the web-server mode. The total cost of the designed data-logger is C$ 30.
Highlights
AND LITERATURE REVIEWH The world’s energy demand is increasing at a high pace due to rapid technological advancement and population growth
Increasing energy demand is leading to environmental hazards because more than 70% of global energy is produced by burning fossil fuels [1]
ESP32-S2 supports a large number of peripherals, which includes 43 programmable GPIOs (General Purpose Inputs and Outputs) with an ability to configure as USB OTG (Universal Serial Bus On-The-Go), LCD interface, camera interface, Serial Peripheral Interface (SPI), I2S interface, Universal Asynchronous Receiver-Transmitter (UART), Analog to digital converter (ADC), Digital to analog converter (DAC) and other standard features
Summary
H The world’s energy demand is increasing at a high pace due to rapid technological advancement and population growth. That singleboard computer can store the data to its local SQL database in case of internet connection failure This data logger is suitable for monitoring the small PV energy system's important parameters with maximum current up to 25A and voltages up to 55V. The Arduino UNO gets the data from all sensors and transfers it to a locally installed computer, where the Parallax Data Acquisition tool is used for logging the data in an excel sheet This analyzer logs the power output of a PV energy unit and records the parameters that affect the performance of the system like temperature and humidity. As per the literature review, we can say that most researchers focus on providing technological advancements in PV datalogging and monitoring systems This advancement leads to the addition of more components in the design and results in extra power consumption of the system itself.
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