A Low-Cost Solar Farm Monitoring System Based on Cloud Database

Al-Naima, Fawzi M.; Hamad, Abdullah

doi:10.12709/mest.07.07.02.01

Cited by 3 publications

(5 citation statements)

References 12 publications

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“…Fawzi Al-Naima and Abdullah Hamad in [9] suggested a low-cost PV panel monitoring system based on a cloud database that stores and displays huge amounts of data on the state of solar panels via a specialized GUI website built using PHP, HTML, and CSS computer languages. Krismadinata et al [10].…”

Section: Literature Reviewmentioning

confidence: 99%

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

Khaleel

Atyia

Alnaib

2022

NTU-JRE

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In recent years,there has been an urgent need in world for electricity. It has being increased constantly with the expansion of energy consumption via traditional energy sources which are depleting. The world has needed to turn to alternative energy, which is represented by renewable energy. The most important and most efficient of these is solar energy, and to get the maximum value of this energy with the highest efficiency, there should be direct monitoring of the performance of these solar panels. So, in this study, the Internet of Things (IoT) was used as a remote monitoring system to obtain the main factors like load current, terminal voltage, consumption power, temperature, humidity, and light intensity. The values were real and accurate, depending on the use of Adriano and sensors to measure the above-mentioned determinants and then using Wi-Fi technology to send the data that was processed in the circuit. Then the thing speak platform was used to display, analyze, and store the results in real-time

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Section: Literature Reviewmentioning

confidence: 99%

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

Khaleel

Atyia

Alnaib

2022

NTU-JRE

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“…The authors of [ 24 ] developed a wireless sensor network based on the ESP8266 MCU to monitor the photovoltaic system. Each network node monitors the current and voltage data of a set of photovoltaic modules and connects to the internet via Wi-Fi to send the collected data to an IoT cloud platform.…”

Section: Literature Review and Comparison Of Monitoring Systems Applied To Pv Plantsmentioning

confidence: 99%

“…Initially, the proposal’s data loggers were configured to communicate with the internet via Wi-Fi, similarly to [ 24 , 25 ]. However, this approach presented a limitation in the positioning of data logger devices due to the Wi-Fi range.…”

Section: Literature Review and Comparison Of Monitoring Systems Applied To Pv Plantsmentioning

confidence: 99%

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A Low-Cost IoT System for Real-Time Monitoring of Climatic Variables and Photovoltaic Generation for Smart Grid Application

Melo

Torres

Araújo

et al. 2021

Sensors

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Monitoring and data acquisition are essential to recognize the renewable resources available on-site, evaluate electrical conversion efficiency, detect failures, and optimize electrical production. Commercial monitoring systems for the photovoltaic system are generally expensive and closed for modifications. This work proposes a low-cost real-time internet of things system for micro and mini photovoltaic generation systems that can monitor continuous voltage, continuous current, alternating power, and seven meteorological variables. The proposed system measures all relevant meteorological variables and directly acquires photovoltaic generation data from the plant (not from the inverter). The system is implemented using open software, connects to the internet without cables, stores data locally and in the cloud, and uses the network time protocol to synchronize the devices’ clocks. To the best of our knowledge, no work reported in the literature presents these features altogether. Furthermore, experiments carried out with the proposed system showed good effectiveness and reliability. This system enables fog and cloud computing in a photovoltaic system, creating a time series measurements data set, enabling the future use of machine learning to create smart photovoltaic systems.

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“…However, one of the main reasons that might not make this technology be more popular to be in the top spot is that it is often exposed to faults and malfunctions leading to many external unwanted effects. These faults lead to a decrease in efficiency and a lack of power to meet the need for them compared to the cost of their construction (Al-Naima & Hamad, 2019). A number of failure modes of PV modules are observed in the field during operation and in the laboratory during testing for certification.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Design Procedure for Fault Diagnosis in a Pv Power Plant

Al-Naima¹,

Wahab²

2020

MEST Journal

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A solar panel monitoring system is an indispensable part and should be of priority in the design of solar power plants to get the highest possible efficiency of solar panels. This paper presents a hybrid PV solar plant monitoring system based on two communication technologies; namely WSN and RFID. The first part consists of multi-sensors (voltage, current, temperature, humidity, dust, smoke, irradiation, and rain) installed on each PV panel. These sensors will collect data from the panels and send them to a cloud database via Wi-Fi modules. The user can log in to this cloud database and display the recorded data in real-time. The second part utilizes RFID as a supporter when the internet is not available. A microcontroller will send data to the local control room in the solar station via Radio Frequency (RF) modules. A panel information detector will be added to this monitoring system to facilitate detect PV panel's history information. In addition, the fault detector software is based on the C# programming language and MySQL database. Some practical verifications of the proposed monitoring system have been successfully obtained from an experimental setup installed on the existing solar station installed on the rooftop of the building of the Technical Institute in the city of Baquba, Iraq.

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A Low-Cost Solar Farm Monitoring System Based on Cloud Database

Cited by 3 publications

References 12 publications

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

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

A Low-Cost IoT System for Real-Time Monitoring of Climatic Variables and Photovoltaic Generation for Smart Grid Application

A Hybrid Design Procedure for Fault Diagnosis in a Pv Power Plant

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