scholarly journals Monitoring of PV Performance Using LabVIEW

Author(s):  
Siti Amely Jumaat ◽  
Ammar Syahmi Bin Mohd Anuar ◽  
Mohd Noor Abdullah ◽  
Nur Hanis Radzi ◽  
Rohaiza Hamdan ◽  
...  

This project aims to design a simulator for PV monitoring using LabVIEW. This project will be divided into two parts ; software where LabVIEW and Arduino IDE been contracted and hardware parts. First part involves the software development. In this project, LabVIEW program is used as the main program to monitor the output of solar panel; voltage, current, power and temperature in real time. Next, the Arduino IDE program is used to interact the sensors with the Arduino board. The Arduino Uno microcontroller board is used as data acquisition medium to collect data from the solar panel. <span lang="EN-MY">Second, the hardware part which is PV panel setup and measurement circuit that consist of sensors and Arduino board so that the sensors data will transfer and display to the PC connected. In this simulator, the sensors are connected to the Analog I/O of Arduino Uno microcontroller which read the analogue input of sensors. The Arduino then is connected to the PC program LabVIEW to display the I-V graph and P-V graph. To make the data more significant, the data will be collected at the location 1.8635° N, 103.1089 ° E which is in Parit Raja, Batu Pahat, Johor. The data was collected with 3 different day and time; 12PM, 1PM and 2PM on 28/11/2017, 29/11/2017 and 30/11/2017.</span>

A solar panel emulator is a programmable power supply which mimics the characteristics of a solar panel and can be used under laboratory conditions. This paper proposes the design of an economical solar panel emulator using LabView software and its implementation using Arduino. The proposed emulator consists of a flyback converter with a MOSFET driver which brings out the characteristics of the desired PV panel. The characteristic curves are generated using LabView software and PWM signal is generated in hardware. This PWM signal drives the MOSFET which in turn operates the flyback converter. The proposed system is simulated using MATLAB software and a prototype of the proposed system is implemented using Arduino UNO R3.


2020 ◽  
Vol 12 (2) ◽  
pp. 78-84
Author(s):  
Abhisak Sharma ◽  
Pardeep Kumar ◽  
Gyander Ghangas ◽  
Vishal Gupta ◽  
Himanshu Sharma ◽  
...  

This paper represents the comparison of the voltages generated by the tracking and static solar panels. The work also aims to design and  fabrication of a cheap and efficient tracking device. This device comprises of hardware and software. A rigid mechanical structure with nut and  screw as the transmission is developed. 4 LDRs and DC motors are employed, which are cheap and less power consuming. As far as the software  concerns, an open source microcontroller “Arduino UNO” board is used because of their simplicity and cost effectiveness. This Sun tracking device with a PV panel installed on it, is placed outside at the roof of the building along with a static solar panel. Output voltages generated from both panels are recorded in SD card through data logger in Arduino UNO. This real-time data shows the difference in amplitude of both the signals. Voltage of rotating panel is more than static one resulting that the tracking device can increase the efficiency of the panel by exposing the PV panel more to the sun light. Hence this setup proves that the solar panel with tracking system generates more energy than solar panel without tracking system. Keywords: Solar Tracker, LDR, PV Panel, Arduino UNO Board.


2020 ◽  
Vol 65 (1) ◽  
pp. 179-186
Author(s):  
Mihaela Dorica Stroia

Current software development directions open up a world of possibilities, especially in the engineering field. Present paper is meant to highlight the advantages and in particular the ease of using virtual instrumentation facilities, with a proper and adequate design and implementation of desired instrument. In this idea we bring into discussion a design for virtual instrument which can be used for data acquisition that can be stored for further simulations according to the needs required by the process in discussion.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
E. Bertino ◽  
M. R. Jahanshahi ◽  
A. Singla ◽  
R.-T. Wu

AbstractThis paper addresses the problem of efficient and effective data collection and analytics for applications such as civil infrastructure monitoring and emergency management. Such problem requires the development of techniques by which data acquisition devices, such as IoT devices, can: (a) perform local analysis of collected data; and (b) based on the results of such analysis, autonomously decide further data acquisition. The ability to perform local analysis is critical in order to reduce the transmission costs and latency as the results of an analysis are usually smaller in size than the original data. As an example, in case of strict real-time requirements, the analysis results can be transmitted in real-time, whereas the actual collected data can be uploaded later on. The ability to autonomously decide about further data acquisition enhances scalability and reduces the need of real-time human involvement in data acquisition processes, especially in contexts with critical real-time requirements. The paper focuses on deep neural networks and discusses techniques for supporting transfer learning and pruning, so to reduce the times for training the networks and the size of the networks for deployment at IoT devices. We also discuss approaches based on machine learning reinforcement techniques enhancing the autonomy of IoT devices.


Author(s):  
Gabriel de Souza Pereira Moreira ◽  
Denis Ávila Montini ◽  
Daniela América da Silva ◽  
Felipe Rafael Motta Cardoso ◽  
Luiz Alberto Vieira Dias ◽  
...  

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.


Author(s):  
Cheyma BARKA ◽  
Hanen MESSAOUDI-ABID ◽  
Houda BEN ATTIA SETTHOM ◽  
Afef BENNANI-BEN ABDELGHANI ◽  
Ilhem SLAMA-BELKHODJA ◽  
...  

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