Design and Development of Real-Time Data Acquisition of Photovoltaic Panel Parameters via IoT

Khaleel, Kutaiba; Atyia, Thamir Hassan; Alnaib, Ahmed M. T. Ibraheem

doi:10.56286/ntujre.v3i1.276

Cited by 6 publications

(5 citation statements)

References 13 publications

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“…In several research papers [24][25][26][27], the SD card is chosen as the data storage solution. Though the SD card offers large storage capacity up to tens of gigabytes, the current consumption when the SD card is active can be as high as 100 mA, which impedes the reduction of the data logger power consumption.…”

Section: Local Data Storagementioning

confidence: 99%

Power Consumption Minimization of a Low-Cost IoT Data Logger for Photovoltaic System

He,

Iqbal

2023

J. Electron. Electric. Eng.

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This paper introduces an innovative IoT-based data logger for photovoltaic (PV) system monitoring, emphasizing low power consumption and affordability. The system comprises a PV panel, a charging controller, and a backup battery, focusing on monitoring their voltages and currents through a network of voltage and current sensors. Data is stored on an SD card and displayed in real-time on a web server. The FireBeetle 2 ESP32-E microcontroller, chosen for its efficient deep-sleep mode power management, is central to the data logger's design. This study employs several low-power strategies, notably reducing supply voltage and CPU frequency to decrease power consumption significantly. A data buffering mechanism stores sensor readings in the microcontroller's flash memory, transferring them to the SD card hourly to balance power efficiency and data security. Wi-Fi connection intervals are optimized to 45 seconds, balancing power use and system monitoring frequency. The data logger averages a power consumption of 122.78 mW and demonstrates its efficacy against the commercial DI-145 model. Priced at C$ 55.05, the system is both cost-effective and scalable, capable of monitoring multiple PV panels and batteries, reducing per-unit costs. The study underscores the successful integration of affordability, low-power operation, and efficient monitoring in a PV system data logger, showcasing its potential in future renewable energy research.

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Section: Local Data Storagementioning

confidence: 99%

Power Consumption Minimization of a Low-Cost IoT Data Logger for Photovoltaic System

He,

Iqbal

2023

J. Electron. Electric. Eng.

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“…Table 1 presents the comparison between related work. For HMI designs, authors were using the customized web server [5,8], the third-party website [6] or software [8,10] and the LCD [5,6,10] to display the monitored parameters. A customized web server was built to display monitored electrical parameters from a PV panel rated at 15 W and environmental parameters [5].…”

Section: Introductionmentioning

confidence: 99%

“…ThingSpeak is an open IoT platform that collects sensor data, shows the data in charts, and provides various plugins and mobile applications. This platform was used to store and display environmental and electrical parameters from a 30 W polycrystalline PV panel in [6]. While ThingSpeak platform integrates multiple services and functions for IoT applications, only eight channels of data were available for free to be transferred to the website.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Design of a Low-Cost SCADA System for Monitoring Standalone Photovoltaic Systems

He,

Iqbal

2024

J. Electron. Electric. Eng.

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Standalone photovoltaic (PV) systems are pivotal in the global transition towards sustainable energy, offering reductions in fossil fuel dependence and helping homes and businesses lower electricity costs. Key to optimizing the performance and efficiency of standalone systems are supervisory control and data logging (SCADA) systems. They monitor and record operational data such as power output, facilitating early detection of potential issues. This paper introduced a novel design for both the Human-Machine Interface (HMI) and data storage in a SCADA system for standalone PV systems, addressing two crucial aspects: real-time monitoring and efficient data retrieval, both at very low cost. The proposed design utilized Bluetooth Low Energy technology to transmit voltage and current data from the PV panel to a mobile application, marking a departure from traditional HMI approaches. This method enabled historical data analysis for trend identification. Additionally, the system intermittently transferred collected data to a cost-effective cloud storage service via Wi-Fi, allowing for substantial data storage at no cost. Remote data storage, another key feature of this design, simplifies data retrieval, which is particularly beneficial for systems in rural areas. Emphasizing open-source development, this design ensured flexibility and customization options. To demonstrate its practical effectiveness of the design, a one-day power curve of the PV system and the battery voltage data are presented, showcasing the design's capability in handling extensive and remote data storage.

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“…Several studies have used Arduino and Raspberry Pi technology for monitoring PV system performance [3][4][5][6][7]. Although these solutions are low-cost, opensource, and extensible, they should not be considered a replacement for PLC technology.…”

Section: Introdutionmentioning

confidence: 99%

Web Server Based Data Monitoring System of PV Panels Using S7-1200 PLC

Ismail Mohammed,

M. T. Ibraheem Al-Naib

2023

NTU-JRE

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This This paper presents the design and implementation of a solar panel data monitoring system using a Web Server as a real-time operating system. The system is built via the Siemens S7-1200 Programmable Logic Controller (PLC) and programmed using TIA (Totally Integrated Automation) Portal V17 software. This approach enables real-time data collection and visualization of essential parameters such as voltage, current, power output, temperature, irradiance, and environmental conditions. The S7-1200 PLC serves as the central control unit, interfacing with the PV panels and gathering data. The acquired data is then transmitted to a web server, which hosts a user-friendly interface accessible through web browsers. Users can remotely monitor the performance of PV panels, track historical data trends, and receive alerts in case of anomalies. This web server-based system offers a convenient and efficient solution for effective PV panel management, enabling users to optimize energy production, detect issues promptly, and make informed decisions for maintenance and operational improvements.

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Design and Development of Real-Time Data Acquisition of Photovoltaic Panel Parameters via IoT

Cited by 6 publications

References 13 publications

Power Consumption Minimization of a Low-Cost IoT Data Logger for Photovoltaic System

Power Consumption Minimization of a Low-Cost IoT Data Logger for Photovoltaic System

A Novel Design of a Low-Cost SCADA System for Monitoring Standalone Photovoltaic Systems

Web Server Based Data Monitoring System of PV Panels Using S7-1200 PLC

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