Solar energy is one of the most promising renewable sources that is currently being used worldwide to contribute for meeting rising demands. In this paper solar irradiance measurement will experimentally carried out in two different regions in Egypt; Cairo and Luxor cities. This paper proposes a simple solar lux measurement using a light dependent resistor (LDR) with an arduino kit. This technique is based on two approaches which are coarse and fine maximum sun lux determination. This is based on the predetermined 260 vertical slop of the LDR. Coarse tuning determines one of the reach sun lux quarter (900) of horizontal quad. The fine tuning allocates the optimized 100 in which; the maximum sun lux can be obtained. The optimal values of sun lux were found between the (90o–180o) quarter. This study confirms that the narrow ten degrees (95o-105o) are the optimized static sun lux extraction for the two site field measurements. This novel technique can be used for locating the angle of best installations for the solar cell at which maximum solar energy can be extracted.
IRJET- IoT based Dual Axis Solar Tracker SystemIRJET Journal
This document describes an IoT-based dual axis solar tracker system that uses light dependent resistors (LDRs), servo motors, a Raspberry Pi, and other components to automatically position a solar panel towards the sun to maximize energy collection. A flowchart shows the process of using sensor values to calculate the solar position and move the solar panel accordingly. The proposed system aims to increase the effectiveness of the output power collected from sunlight, especially for rural applications where it could provide a portable renewable energy source.
IRJET- IoT based Solar Power Monitoring SystemIRJET Journal
This document proposes an IOT-based solar power monitoring system that can monitor and control a solar photovoltaic system remotely. The system uses sensors to monitor the voltage, current, and power output of solar panels. A microcontroller connects the sensors to the internet via WiFi to upload the data to a cloud server. The system also includes a sun tracking mechanism using an LDR sensor and DC motor to automatically rotate the solar panels and maximize sunlight exposure for increased efficiency. The remote monitoring capabilities allow users to view the solar panel performance from anywhere via a web interface.
Monitoring solar with internet of thingsBrian Raafiu
This document describes a smart monitoring system for solar panel systems using Internet of Things (IoT) technology. It discusses:
- The need to monitor solar panel electricity output and efficiency to optimize renewable energy use.
- A methodology using current sensors and an Android app to remotely monitor current and power output from solar panels and a grid-tie inverter in real-time.
- Test results found the sensor measurements were accurate to within 1.88% for a power line and 5.62% for a grid-tie inverter cable.
- The successful IoT monitoring system provides a low-cost solution to help optimize solar power use and savings by automatically using grid power when solar output is insufficient to
IRJET- Solar Power Monitoring System using IoTIRJET Journal
This document describes a solar power monitoring system using IoT technology. The system uses an ATmega 328 microcontroller to monitor the voltage, current and power output of solar panels. It then transmits this data wirelessly to an IoT platform called Thingspeak using an ESP8266 WiFi module. On Thingspeak, the data can be analyzed to monitor the solar plant's performance over time and detect any faults. This allows remote monitoring of solar plants from any location over the internet for improved maintenance and efficiency.
IRJET- Solar Power Based Remote Monitoring and Control of Industrial Paramete...IRJET Journal
This document describes a proposed system for remote monitoring and control of industrial parameters using solar power and IoT technology. The system uses various sensors to measure parameters like temperature, pressure, gas levels etc. and sends the data via an IoT module to the cloud for storage. A user can access the parameter values through software on their device and control devices remotely. If any parameters exceed thresholds, automated actions are taken like turning on cooling fans. The system aims to improve safety and efficiency by allowing constant remote monitoring without human intervention. It can send alerts if emergencies like fires occur and notify authorities. The solar power aspect makes it more sustainable by reducing energy usage for monitoring.
IRJET- Remotely Monitoring Health of the Solar Power System using ArduinoIRJET Journal
This document describes a system to remotely monitor the health of a solar power system using Arduino. The system monitors parameters like voltage, current from the solar panels using sensors and transmits the data via ESP8266 WiFi module to a cloud server (ThingSpeak). The data is displayed on a LCD screen and can be accessed from anywhere via the internet. This allows real-time monitoring of the solar power system for performance evaluation and preventative maintenance to address any issues impacting output.
This document discusses the design of a GUI based remote control system for a Gas Reduction System (GRS) using a PIC microcontroller. The GRS is currently controlled manually from a control room about 150m away, which can lead to human errors. The proposed system would automate the monitoring and control of the GRS through a GUI and PIC microcontroller to reduce human errors. A PIC16F877A microcontroller is selected for its low power consumption and integrated peripherals. The system would interface with the GRS through input/output circuits on the PIC to remotely control gas pressure, temperature and other functions from the GUI.
Solar panel monitoring solution using IoT-Faststream TechnologiesSudipta Maity
Faststream Technologies offers an automated IOT based solar panel monitoring/troubleshooting system that allows for automated solar panel monitoring from anywhere over the internet. As part of our solution, we make use of several IoT gateways suitable for different needs, based on SoCs like STM32, ESP32, ublox, CC3200, SiliconLabs, to monitor the solar panel parameters, in turn, providing Solar Plant Insights.
Our system constantly monitors the solar panel and transmits various parameters to the Cloud over the IoT system. Here we make use of the IoT platform to transmit solar power parameters to Amazon/ Azure cloud /IOT server via the gateway (over WiFi and Ethernet). A powerful web interface allows viewing of data in meaningful formats, enabling users to make decisions.
IRJET- IoT based Dual Axis Solar Tracker SystemIRJET Journal
This document describes an IoT-based dual axis solar tracker system that uses light dependent resistors (LDRs), servo motors, a Raspberry Pi, and other components to automatically position a solar panel towards the sun to maximize energy collection. A flowchart shows the process of using sensor values to calculate the solar position and move the solar panel accordingly. The proposed system aims to increase the effectiveness of the output power collected from sunlight, especially for rural applications where it could provide a portable renewable energy source.
IRJET- IoT based Solar Power Monitoring SystemIRJET Journal
This document proposes an IOT-based solar power monitoring system that can monitor and control a solar photovoltaic system remotely. The system uses sensors to monitor the voltage, current, and power output of solar panels. A microcontroller connects the sensors to the internet via WiFi to upload the data to a cloud server. The system also includes a sun tracking mechanism using an LDR sensor and DC motor to automatically rotate the solar panels and maximize sunlight exposure for increased efficiency. The remote monitoring capabilities allow users to view the solar panel performance from anywhere via a web interface.
Monitoring solar with internet of thingsBrian Raafiu
This document describes a smart monitoring system for solar panel systems using Internet of Things (IoT) technology. It discusses:
- The need to monitor solar panel electricity output and efficiency to optimize renewable energy use.
- A methodology using current sensors and an Android app to remotely monitor current and power output from solar panels and a grid-tie inverter in real-time.
- Test results found the sensor measurements were accurate to within 1.88% for a power line and 5.62% for a grid-tie inverter cable.
- The successful IoT monitoring system provides a low-cost solution to help optimize solar power use and savings by automatically using grid power when solar output is insufficient to
IRJET- Solar Power Monitoring System using IoTIRJET Journal
This document describes a solar power monitoring system using IoT technology. The system uses an ATmega 328 microcontroller to monitor the voltage, current and power output of solar panels. It then transmits this data wirelessly to an IoT platform called Thingspeak using an ESP8266 WiFi module. On Thingspeak, the data can be analyzed to monitor the solar plant's performance over time and detect any faults. This allows remote monitoring of solar plants from any location over the internet for improved maintenance and efficiency.
IRJET- Solar Power Based Remote Monitoring and Control of Industrial Paramete...IRJET Journal
This document describes a proposed system for remote monitoring and control of industrial parameters using solar power and IoT technology. The system uses various sensors to measure parameters like temperature, pressure, gas levels etc. and sends the data via an IoT module to the cloud for storage. A user can access the parameter values through software on their device and control devices remotely. If any parameters exceed thresholds, automated actions are taken like turning on cooling fans. The system aims to improve safety and efficiency by allowing constant remote monitoring without human intervention. It can send alerts if emergencies like fires occur and notify authorities. The solar power aspect makes it more sustainable by reducing energy usage for monitoring.
IRJET- Remotely Monitoring Health of the Solar Power System using ArduinoIRJET Journal
This document describes a system to remotely monitor the health of a solar power system using Arduino. The system monitors parameters like voltage, current from the solar panels using sensors and transmits the data via ESP8266 WiFi module to a cloud server (ThingSpeak). The data is displayed on a LCD screen and can be accessed from anywhere via the internet. This allows real-time monitoring of the solar power system for performance evaluation and preventative maintenance to address any issues impacting output.
This document discusses the design of a GUI based remote control system for a Gas Reduction System (GRS) using a PIC microcontroller. The GRS is currently controlled manually from a control room about 150m away, which can lead to human errors. The proposed system would automate the monitoring and control of the GRS through a GUI and PIC microcontroller to reduce human errors. A PIC16F877A microcontroller is selected for its low power consumption and integrated peripherals. The system would interface with the GRS through input/output circuits on the PIC to remotely control gas pressure, temperature and other functions from the GUI.
Solar panel monitoring solution using IoT-Faststream TechnologiesSudipta Maity
Faststream Technologies offers an automated IOT based solar panel monitoring/troubleshooting system that allows for automated solar panel monitoring from anywhere over the internet. As part of our solution, we make use of several IoT gateways suitable for different needs, based on SoCs like STM32, ESP32, ublox, CC3200, SiliconLabs, to monitor the solar panel parameters, in turn, providing Solar Plant Insights.
Our system constantly monitors the solar panel and transmits various parameters to the Cloud over the IoT system. Here we make use of the IoT platform to transmit solar power parameters to Amazon/ Azure cloud /IOT server via the gateway (over WiFi and Ethernet). A powerful web interface allows viewing of data in meaningful formats, enabling users to make decisions.
A integração das tecnologias industriais, sistemas SCADA e Cloud Computing possibilitando aos usuários a criação de uma interface entre a planta produtiva e a junta executiva.
IRJET - Smart Street Light System using IoTIRJET Journal
This document describes a proposed smart street light system using IoT. It begins with an abstract that outlines the goals of the system, which are to provide an efficient and energy-saving lighting system through automatic determination of lighting conditions. It then provides details on the methodology, including a description of the current manual system and expected energy savings of a smart system using various techniques like dimming and scheduling. Key components of the proposed system are described, including an LDR sensor, relay, ESP8266 module, and ThingSpeak platform. Results are presented showing estimated energy consumption and savings. The conclusion states that the automated IoT-based system can significantly save energy compared to a manual system while reducing costs and carbon emissions.
CIEC16_PPT_Iot Based Smart Solar MonitoringSOHAM ADHYA
This document discusses using the Internet of Things (IoT) for remote monitoring and control of solar photovoltaic power plants. It describes the key components of solar PV plants, the goals of monitoring them, and parameters that can be tracked. These include voltages, currents, power output, radiation levels, and temperatures. The document proposes using sensors connected over IoT to monitor these factors, store the data in databases, and provide web-based access to the information. This would allow remote monitoring, maintenance scheduling, output analysis, and fault detection for solar farms.
IRJET- Design and Implement Mechanism for Efficient Energy Meter using IoTIRJET Journal
This document describes a proposed smart electricity meter system using IoT. The system would automate the manual process of monthly electricity bill calculation and reading. Sensors in the electricity meter would collect real-time energy consumption data and send it wirelessly to a centralized system. This would make the billing process more accurate and efficient by eliminating human error. It could also provide load monitoring to strengthen the electricity distribution system based on usage patterns. The proposed system aims to reduce costs for utilities while providing users with more control over their electricity usage and billing.
Real Time Monitoring and Electro Magnetic Interference causing Data corruptionRekaNext Capital
On site, where there are motors and generators, the sensor reading are affected by Electro-Magnetic Interference. The presentation shares some Good Engineering Practices to minimize Data Corruption. Real Time Monitoring Data Quality is even more sensitive to Data Corruption as there is a huge amount of sensors per hour.
Monitoring and Control of Solar Power System using Reliance SCADAijtsrd
This system presents the monitoring and control of real time data acquisition of a solar power system in reliance SCADA. SCADA supervisory control and data acquisition systems are currently employed in many applications, such as home automation, greenhouse automation, and hybrid power systems. Commercial SCADA systems are costly to set up and maintain therefore those are not used for small renewable energy systems. This system demonstrates applying Reliance SCADA and Arduino Uno on a small photovoltaic PV power system to monitor the current, voltage, of the PV and battery and also control the load from SCADA. The designed system uses low cost sensors, an Arduino Uno microcontroller, and free Reliance SCADA software. The Arduino Uno microcontroller collects data from sensors and communicates with a computer through a USB cable. Uno has been programmed to transmit data to Reliance SCADA on PC. In addition, Modbus library has been uploaded on Arduino to allow communication between the Arduino and our SCADA system by using the MODBUS RTU protocol. The results of the experiments demonstrate that SCADA works in real time and can be effectively used in monitoring a solar energy system. Khin Pyone Ei Aung | Nyan Phyo Aung | Lwin Lwin Htay "Monitoring and Control of Solar Power System using Reliance SCADA" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26459.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26459/monitoring-and-control-of-solar-power-system-using-reliance-scada/khin-pyone-ei-aung
Thank you very much for checking out my presentation.
If you are a student or a faculty of an engineering college and need to create a presentation, you can contact me. Check out my profile to know how.
This project describes about a device, which measures the power consumed by our household devices, using IoT technology.
IRJET- An Exclusive Review on IoT based Solar Photovoltaic Remote Monitoring ...IRJET Journal
This document describes an IoT-based system for remotely monitoring and controlling a solar photovoltaic unit. It discusses challenges with existing solar panel systems like downtime and difficulties with maintenance. The proposed system uses sensors to measure the output voltage of a solar panel located remotely. An IoT network transmits the sensor data to a server, allowing users to access the output measurements via unique IP addresses. Relay circuits and boards are also used to enable remote control of the solar panel outputs. This makes monitoring and control more efficient through the IoT system.
Remote Monitoring System for Solar InvertersIRJET Journal
This document describes a remote monitoring system for solar inverters that allows their parameters to be monitored continuously from anywhere in the world. The system uses a microcontroller to monitor the inverters and upload the real-time parameter data to a server via GSM. This diminishes the need for on-site technicians and allows lights-out operation at remote locations. The monitoring system components include a dsPIC33EP32MC202 microcontroller, EEPROM for data storage, real-time clock, LCD display interfaced via SPI, and an SD card for additional data storage.
Magnetogama is an open schematic handassembled fluxgate magnetometer. Compared to another magnetometer, Magnetogama has more benefit concerning its price and its ease of use. Practically Magnetogama can be utilized either in land or attached to an unmanned aerial vehicle (UAV). Magnetogama was designed to give open access to a cheap and accurate alternative to magnetometer sensor. Therefore it can be used as a standard design which is directly applicable to the low-budget company or education purposes. Schematic, code and several verification tests were presented in this article ensuring its reproducibility. Magnetogama has been tested with two kind of tests: a comparison with two nearest observatories at Learmonth (LRM) and Kakadu (KDU) and the response of magnetic substance.
1) This document describes a smart street lighting system that uses solar power and sensors to reduce energy consumption. Sensors detect vehicle movement and switch on lights ahead of the vehicle while switching off lights behind to save energy.
2) The system uses IR sensors, an LDR light sensor, NE555 timer IC, and a solar panel charged battery to power street lights only when needed. When a vehicle is detected, the IR sensors trigger the timer to delay-switch on lights ahead of the vehicle.
3) This smart street lighting system aims to eliminate manual operation, significantly reduce energy costs through auto on-off control based on vehicle detection, and utilize solar power as a renewable energy source. It provides an energy efficient solution
The designed SCADA software system ensured remote monitoring of the positions and advanced system health conditions of all the solar tracking systems to provide data analytics and reporting. This SCADA solution was designed and developed toco-exist in a remote system that will continuously monitor multiple fields consisting of several masters and their respective slave trackers.
Design and Implementation of IOT Based Smart Power Monitoring and Management ...ijesajournal
We will design a system based on WSNs and IoT technologies to manage real-time power at buildings. This system comprises of: a wireless sensor network (sensing node and base station) and a smart home gateway. A sensing node is utilized wireless sensors to measure voltage and current; to calculate power consumption of connected appliances, transmitted wirelessly to a base station via Zigbee node. A base station is designed to receive all data transmitted from the sensing node and display it through GUI available at the personal computer, with the possibility of controlling ON and OFF appliances according to consumer requirements; All of these readings will be stored at database for analysis. In addition, a smart home gateway will connect the system with internet to allow consumers to continuous monitoring and remote control the appliances via a smartphone application. The benefit of this system, that the appliances control mechanism can be done in different ways (manually, automatically, and remotely). Various household appliances were tested to verify the accuracy of the electrical parameters that measured at system and compare them with practical measurement, found the average error ratio between them (0.3%) was in voltage, (1.5%) in current, and (1.8%) in power.
Automatic solar LED street light automation by using RTC and I2C protocols d...PRASHANTH RAO
This project will work without human interfacing and it will use natural resources .Here using solar panel.This panel converting solar energy to electrical energy.In this project the street light do automatically on and off based given program. here we have to fix the on and off time .when real time reaches to given on time then street lights on automatically.when real time reaches to off time. The street light automatically will off.
This document analyzes Satec's EOS SCADA system and identifies features of competitor products that could help increase sales. It compares Satec to other vendors like Skytron, GreenPowerMonitor, AlsoEnergy, First Solar, Arc Informatique, Locus Energy and Schneider Electric. Key features discussed include financial reporting tools, system optimization tools, statistical analysis capabilities, improved aesthetics and usability, and grid integration solutions. The document aims to help Satec identify opportunities to improve their EOS application based on advantages observed in competing products.
Efficient Energy Management System with Solar EnergyIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
1) The document describes a wireless mobile robot designed for military applications that uses sensors to interact with the physical world and navigate under the control of a base station.
2) The robot is designed to complete all tasks like detecting obstacles, border security, recording audio/video, and firing within critical time limits for safety.
3) The robot's functions are managed by the real-time operating system Salvo on an 8051 microcontroller to ensure tasks meet deadlines even when resources are fully utilized.
In today’s world energy saving has become a major factor and need. This project is developed keeping this problem in mind. The huge amount of electrical power of many countries is consumed in lighting the streets. However, there are stages of time when there is less vehicle density during night time or even no vehicles during late night time. The main principle of this system is object detection and then triggering the respective circuit and to provide light only at that part of road where it is needed. Logically, this system may save a large amount of the electrical power. This paper focuses on the proposal of different possible architectures of this system.
IOSR Journal of Electrical and Electronics Engineering(IOSR-JEEE) is an open access international journal that provides rapid publication (within a month) of articles in all areas of electrical and electronics engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electrical and electronics engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Real-time monitoring system for weather and air pollutant measurement with HT...journalBEEI
This system summarizes the development of a real-time monitoring system for weather and air pollutant measurement with an HTML-based user interface application. The system includes sensors to measure weather parameters like wind, rain, temperature, and humidity, as well as air pollutants. A microcontroller collects and transmits the sensor data to a cloud database in real-time. A web application then displays the data for users. Field testing showed the sensors accurately measured various weather and pollution levels over a day. The HTML interface provided an informative display of the real-time environmental information.
Development of a software solution for solar pv power systems sizing and moni...simeon Matthew
This document describes the development of a software solution called SolarHelper for sizing and monitoring solar photovoltaic (PV) power systems. SolarHelper can accurately simulate the required battery storage capacity and PV array size based on load demands for sizing. It also monitors and records vital system variables like voltage, current, temperature and light intensity to assess the performance and state of an existing solar PV installation. The software was developed using a microcontroller, monitoring circuitry, and a Java graphical user interface. Algorithms are presented for both the sizing and monitoring functions of the SolarHelper software.
Arduino based Dual Axis Smart Solar TrackerIJAEMSJORNAL
Solar energy is rapidly advancing as an important means of renewable energy resource. It is radiant light and heat from the Sun that is harnessed using a range of ever-evolving technologies such as solar heating, photovoltaic, solar thermal energy, solar architecture, molten salt power plants and artificial photosynthesis. Trackers direct solar panels or modules toward the sun. These devices change their orientation throughout the day to follow the sun’s path to maximize energy capture. The use of solar trackers can increase electricity production by around a third, and some claim by as much as 40% in some regions, compared with modules at a fixed angle. In any solar application, the conversion efficiency is improved when the modules are continually adjusted to the optimum angle as the sun traverses the sky. This paper presents the designing of a solar tracking system which is based on Arduino UNO and which provides movement of solar panel in the direction of maximum sun light incident. As a result of which we get more efficient system which is compact, low cost as well as easy to use.
A integração das tecnologias industriais, sistemas SCADA e Cloud Computing possibilitando aos usuários a criação de uma interface entre a planta produtiva e a junta executiva.
IRJET - Smart Street Light System using IoTIRJET Journal
This document describes a proposed smart street light system using IoT. It begins with an abstract that outlines the goals of the system, which are to provide an efficient and energy-saving lighting system through automatic determination of lighting conditions. It then provides details on the methodology, including a description of the current manual system and expected energy savings of a smart system using various techniques like dimming and scheduling. Key components of the proposed system are described, including an LDR sensor, relay, ESP8266 module, and ThingSpeak platform. Results are presented showing estimated energy consumption and savings. The conclusion states that the automated IoT-based system can significantly save energy compared to a manual system while reducing costs and carbon emissions.
CIEC16_PPT_Iot Based Smart Solar MonitoringSOHAM ADHYA
This document discusses using the Internet of Things (IoT) for remote monitoring and control of solar photovoltaic power plants. It describes the key components of solar PV plants, the goals of monitoring them, and parameters that can be tracked. These include voltages, currents, power output, radiation levels, and temperatures. The document proposes using sensors connected over IoT to monitor these factors, store the data in databases, and provide web-based access to the information. This would allow remote monitoring, maintenance scheduling, output analysis, and fault detection for solar farms.
IRJET- Design and Implement Mechanism for Efficient Energy Meter using IoTIRJET Journal
This document describes a proposed smart electricity meter system using IoT. The system would automate the manual process of monthly electricity bill calculation and reading. Sensors in the electricity meter would collect real-time energy consumption data and send it wirelessly to a centralized system. This would make the billing process more accurate and efficient by eliminating human error. It could also provide load monitoring to strengthen the electricity distribution system based on usage patterns. The proposed system aims to reduce costs for utilities while providing users with more control over their electricity usage and billing.
Real Time Monitoring and Electro Magnetic Interference causing Data corruptionRekaNext Capital
On site, where there are motors and generators, the sensor reading are affected by Electro-Magnetic Interference. The presentation shares some Good Engineering Practices to minimize Data Corruption. Real Time Monitoring Data Quality is even more sensitive to Data Corruption as there is a huge amount of sensors per hour.
Monitoring and Control of Solar Power System using Reliance SCADAijtsrd
This system presents the monitoring and control of real time data acquisition of a solar power system in reliance SCADA. SCADA supervisory control and data acquisition systems are currently employed in many applications, such as home automation, greenhouse automation, and hybrid power systems. Commercial SCADA systems are costly to set up and maintain therefore those are not used for small renewable energy systems. This system demonstrates applying Reliance SCADA and Arduino Uno on a small photovoltaic PV power system to monitor the current, voltage, of the PV and battery and also control the load from SCADA. The designed system uses low cost sensors, an Arduino Uno microcontroller, and free Reliance SCADA software. The Arduino Uno microcontroller collects data from sensors and communicates with a computer through a USB cable. Uno has been programmed to transmit data to Reliance SCADA on PC. In addition, Modbus library has been uploaded on Arduino to allow communication between the Arduino and our SCADA system by using the MODBUS RTU protocol. The results of the experiments demonstrate that SCADA works in real time and can be effectively used in monitoring a solar energy system. Khin Pyone Ei Aung | Nyan Phyo Aung | Lwin Lwin Htay "Monitoring and Control of Solar Power System using Reliance SCADA" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26459.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26459/monitoring-and-control-of-solar-power-system-using-reliance-scada/khin-pyone-ei-aung
Thank you very much for checking out my presentation.
If you are a student or a faculty of an engineering college and need to create a presentation, you can contact me. Check out my profile to know how.
This project describes about a device, which measures the power consumed by our household devices, using IoT technology.
IRJET- An Exclusive Review on IoT based Solar Photovoltaic Remote Monitoring ...IRJET Journal
This document describes an IoT-based system for remotely monitoring and controlling a solar photovoltaic unit. It discusses challenges with existing solar panel systems like downtime and difficulties with maintenance. The proposed system uses sensors to measure the output voltage of a solar panel located remotely. An IoT network transmits the sensor data to a server, allowing users to access the output measurements via unique IP addresses. Relay circuits and boards are also used to enable remote control of the solar panel outputs. This makes monitoring and control more efficient through the IoT system.
Remote Monitoring System for Solar InvertersIRJET Journal
This document describes a remote monitoring system for solar inverters that allows their parameters to be monitored continuously from anywhere in the world. The system uses a microcontroller to monitor the inverters and upload the real-time parameter data to a server via GSM. This diminishes the need for on-site technicians and allows lights-out operation at remote locations. The monitoring system components include a dsPIC33EP32MC202 microcontroller, EEPROM for data storage, real-time clock, LCD display interfaced via SPI, and an SD card for additional data storage.
Magnetogama is an open schematic handassembled fluxgate magnetometer. Compared to another magnetometer, Magnetogama has more benefit concerning its price and its ease of use. Practically Magnetogama can be utilized either in land or attached to an unmanned aerial vehicle (UAV). Magnetogama was designed to give open access to a cheap and accurate alternative to magnetometer sensor. Therefore it can be used as a standard design which is directly applicable to the low-budget company or education purposes. Schematic, code and several verification tests were presented in this article ensuring its reproducibility. Magnetogama has been tested with two kind of tests: a comparison with two nearest observatories at Learmonth (LRM) and Kakadu (KDU) and the response of magnetic substance.
1) This document describes a smart street lighting system that uses solar power and sensors to reduce energy consumption. Sensors detect vehicle movement and switch on lights ahead of the vehicle while switching off lights behind to save energy.
2) The system uses IR sensors, an LDR light sensor, NE555 timer IC, and a solar panel charged battery to power street lights only when needed. When a vehicle is detected, the IR sensors trigger the timer to delay-switch on lights ahead of the vehicle.
3) This smart street lighting system aims to eliminate manual operation, significantly reduce energy costs through auto on-off control based on vehicle detection, and utilize solar power as a renewable energy source. It provides an energy efficient solution
The designed SCADA software system ensured remote monitoring of the positions and advanced system health conditions of all the solar tracking systems to provide data analytics and reporting. This SCADA solution was designed and developed toco-exist in a remote system that will continuously monitor multiple fields consisting of several masters and their respective slave trackers.
Design and Implementation of IOT Based Smart Power Monitoring and Management ...ijesajournal
We will design a system based on WSNs and IoT technologies to manage real-time power at buildings. This system comprises of: a wireless sensor network (sensing node and base station) and a smart home gateway. A sensing node is utilized wireless sensors to measure voltage and current; to calculate power consumption of connected appliances, transmitted wirelessly to a base station via Zigbee node. A base station is designed to receive all data transmitted from the sensing node and display it through GUI available at the personal computer, with the possibility of controlling ON and OFF appliances according to consumer requirements; All of these readings will be stored at database for analysis. In addition, a smart home gateway will connect the system with internet to allow consumers to continuous monitoring and remote control the appliances via a smartphone application. The benefit of this system, that the appliances control mechanism can be done in different ways (manually, automatically, and remotely). Various household appliances were tested to verify the accuracy of the electrical parameters that measured at system and compare them with practical measurement, found the average error ratio between them (0.3%) was in voltage, (1.5%) in current, and (1.8%) in power.
Automatic solar LED street light automation by using RTC and I2C protocols d...PRASHANTH RAO
This project will work without human interfacing and it will use natural resources .Here using solar panel.This panel converting solar energy to electrical energy.In this project the street light do automatically on and off based given program. here we have to fix the on and off time .when real time reaches to given on time then street lights on automatically.when real time reaches to off time. The street light automatically will off.
This document analyzes Satec's EOS SCADA system and identifies features of competitor products that could help increase sales. It compares Satec to other vendors like Skytron, GreenPowerMonitor, AlsoEnergy, First Solar, Arc Informatique, Locus Energy and Schneider Electric. Key features discussed include financial reporting tools, system optimization tools, statistical analysis capabilities, improved aesthetics and usability, and grid integration solutions. The document aims to help Satec identify opportunities to improve their EOS application based on advantages observed in competing products.
Efficient Energy Management System with Solar EnergyIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
1) The document describes a wireless mobile robot designed for military applications that uses sensors to interact with the physical world and navigate under the control of a base station.
2) The robot is designed to complete all tasks like detecting obstacles, border security, recording audio/video, and firing within critical time limits for safety.
3) The robot's functions are managed by the real-time operating system Salvo on an 8051 microcontroller to ensure tasks meet deadlines even when resources are fully utilized.
In today’s world energy saving has become a major factor and need. This project is developed keeping this problem in mind. The huge amount of electrical power of many countries is consumed in lighting the streets. However, there are stages of time when there is less vehicle density during night time or even no vehicles during late night time. The main principle of this system is object detection and then triggering the respective circuit and to provide light only at that part of road where it is needed. Logically, this system may save a large amount of the electrical power. This paper focuses on the proposal of different possible architectures of this system.
IOSR Journal of Electrical and Electronics Engineering(IOSR-JEEE) is an open access international journal that provides rapid publication (within a month) of articles in all areas of electrical and electronics engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electrical and electronics engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Real-time monitoring system for weather and air pollutant measurement with HT...journalBEEI
This system summarizes the development of a real-time monitoring system for weather and air pollutant measurement with an HTML-based user interface application. The system includes sensors to measure weather parameters like wind, rain, temperature, and humidity, as well as air pollutants. A microcontroller collects and transmits the sensor data to a cloud database in real-time. A web application then displays the data for users. Field testing showed the sensors accurately measured various weather and pollution levels over a day. The HTML interface provided an informative display of the real-time environmental information.
Development of a software solution for solar pv power systems sizing and moni...simeon Matthew
This document describes the development of a software solution called SolarHelper for sizing and monitoring solar photovoltaic (PV) power systems. SolarHelper can accurately simulate the required battery storage capacity and PV array size based on load demands for sizing. It also monitors and records vital system variables like voltage, current, temperature and light intensity to assess the performance and state of an existing solar PV installation. The software was developed using a microcontroller, monitoring circuitry, and a Java graphical user interface. Algorithms are presented for both the sizing and monitoring functions of the SolarHelper software.
Arduino based Dual Axis Smart Solar TrackerIJAEMSJORNAL
Solar energy is rapidly advancing as an important means of renewable energy resource. It is radiant light and heat from the Sun that is harnessed using a range of ever-evolving technologies such as solar heating, photovoltaic, solar thermal energy, solar architecture, molten salt power plants and artificial photosynthesis. Trackers direct solar panels or modules toward the sun. These devices change their orientation throughout the day to follow the sun’s path to maximize energy capture. The use of solar trackers can increase electricity production by around a third, and some claim by as much as 40% in some regions, compared with modules at a fixed angle. In any solar application, the conversion efficiency is improved when the modules are continually adjusted to the optimum angle as the sun traverses the sky. This paper presents the designing of a solar tracking system which is based on Arduino UNO and which provides movement of solar panel in the direction of maximum sun light incident. As a result of which we get more efficient system which is compact, low cost as well as easy to use.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
REAL-TIME LOCATION TRACKER FOR HEALTH PATIENT IN CRISISIRJET Journal
This document describes a real-time location tracker system for monitoring the health and location of patients in crisis situations. The system uses various IoT sensors like a GPS module, heartbeat sensor, temperature sensor connected to an Arduino microcontroller. The sensor data is sent to a server via an ESP8266 WiFi module and the patient's location is tracked on a map using Google Maps APIs. If the sensor readings indicate a health emergency, alerts are sent via SMS to doctors and hospitals so they can quickly locate and assist the patient. The system is designed to be low-cost and help improve healthcare for patients in remote or emergency situations.
Weather monitoring plays a very important role in human life hence study of weather system is necessary.
Currently there are two types of the weather monitoring stations available i.e. wired and wireless. Wireless
system has some advantages over the wired one hence popular now a days. The parameters are include in
weather monitoring usually temperature, humidity atmospheric pressure, light intensity, rainfall etc. There are
many techniques existed using different processor such as PIC, AVR, ARM etc. Analog to digital channel are
used to fetch the analog output of the sensors. The wireless techniques used in the weather monitoring having
GSM, FM channel, Zigbee, RF etc Protocols.
This document describes a wireless sensor network system for remotely monitoring solar panels. Sensor nodes attached to each solar panel measure electrical parameters like voltage, current, light intensity, temperature, and dust. The nodes send this data via XBee modules to a central HUB computer. The HUB displays the data in real-time using a Python GUI and stores it in an Excel file. It also forwards the data to a server via Ethernet. This system allows continuous monitoring of each individual solar panel's performance and condition from a remote location.
Monitoring and Controlling Device for Smart Greenhouse by using Thinger.io Io...ijtsrd
This document describes a smart greenhouse monitoring and control system that uses sensors to measure environmental factors like temperature, humidity, and light intensity. It then sends this sensor data to a cloud server called Thinger.io using an ESP8266 (NodeMCU) microcontroller connected to WiFi. The system can automatically control devices like pumps, fans and lights based on the sensor readings to maintain optimal growing conditions. It also allows remote manual control of devices from a smartphone or computer. The system was simulated using Proteus simulation software and experimental results showed it could accurately control devices to satisfy thresholds for humidity, temperature and light levels.
Development of Smart system for Monitoring WindmillIRJET Journal
This document describes the development of a smart system for monitoring windmills. Sensors are used to measure parameters like voltage, current, temperature, humidity, and speed. An Arduino collects data from the sensors and can detect abnormalities. If issues are found, the system alerts users through a mobile or web dashboard using a GSM module. This allows remote monitoring of windmills to reduce maintenance costs compared to manual inspection. Future work could involve using additional sensors and artificial intelligence for self-repair capabilities.
1. The document describes an IoT-based solar energy monitoring system that uses sensors to measure the voltage, current, and temperature of a solar panel system.
2. The sensor data is processed by an ESP32 microcontroller and displayed locally on an OLED display. It is also transmitted remotely through the cloud using a Blynk app.
3. The system aims to automatically monitor and control the solar system parameters in real-time to provide more efficient energy monitoring than existing manual systems.
This document describes an Internet of Things (IoT) based asset tracking system. It discusses the need for asset tracking in hospitals to improve safety and security. The proposed system uses Radio Frequency Identification (RFID) tags attached to assets to track their location in real-time using a GPS module. An Arduino microcontroller, ESP8266 WiFi module, encoder, decoder and rectifier are used to build the tracking device. A simulation of the system showed it could accurately display the coordinates of tagged assets. The system aims to develop a web and mobile application for easy monitoring of hospital equipment to improve operational efficiency.
IOT BASED ENERGY PREDECTION AND THEFT PROTECTED AUTOMATIC SOLAR TRACKER SYSTEMIRJET Journal
1. The document describes an IoT-based solar tracking system that increases solar panel efficiency by keeping the panel aligned with the sun.
2. It uses light dependent resistors and a microcontroller to sense the sun's position and direct a motor to adjust the panel's orientation accordingly.
3. The system also includes features like energy prediction using past voltage data, facial recognition for emotion analysis, and SMS alerts to detect potential theft.
This article describes the design of a data system to integrate energy conversion from photovoltaic measurements connected to the power grid. The software used is visual studio, while the hardware uses polycrystalline photovoltaic (PV) with a capacity of 2.08 kW and several sensors that have been integrated into Arduino. Parameter data in measuring the performance of this PV system consists of temperature and humidity sensors to measure the panel surface, direct current (DC) current sensor, DC voltage sensor.
To measure the current and voltage sourced from the electricity network, the module (PZEM-004T) is used. Measurements are designed using a graphical user interface (GUI) on a Visual Studio application that has been interfaced through Arduino programming. The data output on the sensor measurement will simultaneously record the circuit that has been connected to the solar panel and then display it visually in the form of tables and graphs in real time with a delay of 1 minute. The results of PV on grid measurements in sunny weather conditions obtained the maximum value of all measurements with a DC voltage of 221 V, while for an alternating current (AC) voltage of 231.60 V, the DC value reached 1827.17 W while the AC power was 1681 W.
Harvesting solar energy as a renewable energy source has received significant attention through serious studies that could be applied massively. However, the nonlinear nature of photovoltaic (PV) concerning the surrounding environment, especially irradiation and temperature, affects the resulting output. Therefore, the correlation between environmental parameters and PV's energy needs to be studied. This paper presents a design for measuring solar PV parameters monitored on a laboratory scale. The monitoring is based on internet of things (IoT) technology analyzed in realtime. The system was tested in various weather conditions for 18 hours. The results obtained indicate that the output voltage was influenced by the lighting factor of the PV and the surrounding temperature.
Online monitoring of greenhouse gases leakage by using gsmIAEME Publication
This document summarizes an article that proposes an online system for monitoring greenhouse gas leakage using sensors and GSM technology. The system collects data on CO2 concentration, temperature, humidity, light intensity and location from sensors. It then transmits this data via GSM to a monitoring station and server. The system is designed to help control greenhouse gas emissions and identify any leaks in greenhouse facilities. It uses an AT89S52 microcontroller along with sensors for CO2, temperature, humidity, and light intensity. Data is transmitted to monitoring stations using GSM technology. The system is intended to allow for remote, real-time monitoring of greenhouse gas levels and early detection of any leaks.
The document proposes an IoT-based real-time monitoring system for solar power plants using an artificial neural network to maximize efficiency. The system collects data from sensors on the photovoltaic panels to monitor temperature, dust, rain and detect faults. If a panel is found to be degraded or faulty, the monitoring system can identify it for maintenance. The goal is to keep the solar panel system in optimal condition to reliably harness energy efficiently through continuous remote monitoring.
The research team designed and built a proof-of-concept mesh network to collect environmental data from two sensors - a light sensor and a piezoelectric sensor - and display it to a base station laptop. The network connects the sensors to Arduino platforms which communicate wirelessly via XBee radios. A Python program formats and displays the sensor data for the user. While the network was able to successfully transmit sensor data, further work is needed to improve sensor reliability and network scalability for practical home implementation.
This document describes a system that measures and transmits atmospheric parameters like temperature, humidity, light, wind speed, and pressure using radio frequency communication. The system consists of two modules - a transmitting module with sensors that measures the parameters and displays the data, and a receiving module that receives the data via RF and displays it on a computer. The transmitting module sends the measured data wirelessly to the receiving module, which then forwards it to a computer running a custom interface to view the readings.
This document describes a system that measures and transmits atmospheric parameters like temperature, humidity, light, wind speed, and pressure using radio frequency communication. The system consists of two modules - a transmitting module with sensors that measures the parameters and displays the data, and a receiving module that receives the data via RF and displays it on a computer. The transmitting module sensors send data to a microcontroller, which then transmits the data via an RF module. The receiving module gets the data via an RF receiver and sends it through a MAX232 chip to a computer for display.
AGRICULTURE ENVIRONMENT MONITORING SYSTEM USING ANDROIDIRJET Journal
This document describes an agriculture environment monitoring system using Android that measures temperature, moisture, and other parameters to help farmers. The system includes soil moisture sensors, a temperature sensor, humidity sensor, and ultrasonic sensor to measure water levels. An Arduino board collects data from the sensors. If the soil moisture is low, a water motor will automatically turn on. Farmers can monitor parameters in real-time using a mobile Android application. The system aims to help with remote monitoring, water conservation, and increasing crop yields for Indian agriculture.
This document summarizes a research paper that proposes a vision-based solar tracking system using both light dependent resistor (LDR) sensors and image processing to more efficiently track the sun and maximize solar panel output. The system uses 4 LDR sensors initially to track sunlight intensity changes and orient the solar panel. It then uses a camera and image processing algorithms to identify the sun's position in an image, calculate its centroid coordinates, and provide a corrected tracking measurement to better align the panel with the sun's direct rays. Experimental results show the combined LDR and image processing approach generates more power than a fixed panel or LDR-only tracking system over a 17 hour period.
Similar to Economical and efficient technique for a static localized maximum sun lux determination (20)
The aim of this research is the speed tracking of the permanent magnet synchronous motor (PMSM) using an intelligent Neural-Network based adapative backstepping control. First, the model of PMSM in the Park synchronous frame is derived. Then, the PMSM speed regulation is investigated using the classical method utilizing the field oriented control theory. Thereafter, a robust nonlinear controller employing an adaptive backstepping strategy is investigated in order to achieve a good performance tracking objective under motor parameters changing and external load torque application. In the final step, a neural network estimator is integrated with the adaptive controller to estimate the motor parameters values and the load disturbance value for enhancing the effectiveness of the adaptive backstepping controller. The robsutness of the presented control algorithm is demonstrated using simulation tests. The obtained results clearly demonstrate that the presented NN-adaptive control algorithm can provide good trackingperformances for the speed trackingin the presence of motor parameter variation and load application.
The document presents a new method for fault classification and direction discrimination in transmission lines using 1D convolutional neural networks (1D-CNNs). A 132kV transmission line model is simulated to generate training and testing data for the 1D-CNN algorithm. The proposed 1D-CNN approach directly uses the voltage and current signals from one end as input, merging feature extraction and classification into a single learning process. Testing shows the 1D-CNN method accurately classifies and discriminates fault direction with higher accuracy than conventional neural network and fuzzy neural network methods under different fault conditions.
Among the most widespread renewable energy sources is solar energy; Solar panels offer a green, clean, and environmentally friendly source of energy. In the presence of several advantages of the use of photovoltaic systems, the random operation of the photovoltaic generator presents a great challenge, in the presence of a critical load. Among the most used solutions to overcome this problem is the combination of solar panels with generators or with the public grid or both. In this paper, an energy management strategy is proposed with a safety aspect by using artificial neural networks (ANNs), in order to ensure a continuous supply of electricity to consumers with a maximum solicitation of renewable energy.
In this paper, the artificial neural network (ANN) has been utilized for rotating machinery faults detection and classification. First, experiments were performed to measure the lateral vibration signals of laboratory test rigs for rotor-disk-blade when the blades are defective. A rotor-disk-blade system with 6 regular blades and 5 blades with various defects was constructed. Second, the ANN was applied to classify the different x- and y-axis lateral vibrations due to different blade faults. The results based on training and testing with different data samples of the fault types indicate that the ANN is robust and can effectively identify and distinguish different blade faults caused by lateral vibrations in a rotor. As compared to the literature, the present paper presents a novel work of identifying and classifying various rotating blade faults commonly encountered in rotating machines using ANN. Experimental data of lateral vibrations of the rotor-disk-blade system in both x- and y-directions are used for the training and testing of the network.
This paper focuses on the artificial bee colony (ABC) algorithm, which is a nonlinear optimization problem. is proposed to find the optimal power flow (OPF). To solve this problem, we will apply the ABC algorithm to a power system incorporating wind power. The proposed approach is applied on a standard IEEE-30 system with wind farms located on different buses and with different penetration levels to show the impact of wind farms on the system in order to obtain the optimal settings of control variables of the OPF problem. Based on technical results obtained, the ABC algorithm is shown to achieve a lower cost and losses than the other methods applied, while incorporating wind power into the system, high performance would be gained.
The significance of the solar energy is to intensify the effectiveness of the Solar Panel with the use of a primordial solar tracking system. Here we propounded a solar positioning system with the use of the global positioning system (GPS) , artificial neural network (ANN) and image processing (IP) . The azimuth angle of the sun is evaluated using GPS which provide latitude, date, longitude and time. The image processing used to find sun image through which centroid of sun is calculated and finally by comparing the centroid of sun with GPS quadrate to achieve optimum tracking point. Weather conditions and situation observed through AI decision making with the help of IP algorithms. The presented advance adaptation is analyzed and established via experimental effects which might be made available on the memory of the cloud carrier for systematization. The proposed system improve power gain by 59.21% and 10.32% compare to stable system (SS) and two-axis solar following system (TASF) respectively. The reduced tracking error of IoT based Two-axis solar following system (IoT-TASF) reduces their azimuth angle error by 0.20 degree.
Kosovo has limited renewable energy resources and its power generation sector is based on fossil fuels. Such a situation emphasizes the importance of active research and efficient use of renewable energy potential. According to the analysis of meteorological data for Kosovo, it can be concluded that among the most attractive potential wind power sites are the locations known as Kitka (42° 29' 41" N and 21° 36' 45" E) and Koznica (42° 39′ 32″ N, 21° 22′30″E). The two terrains in which the analysis was carried out are mountain areas, with altitudes of 1142 m (Kitka) and 1230 m (Koznica). the same measuring height, about 84 m above the ground, is obtained for these average wind speeds: Kitka 6,667 m/s and Koznica 6,16 m/s. Since the difference in wind speed is quite large versus a difference in altitude that is not being very large, analyses are made regarding the terrain characteristics including the terrain relief features. In this paper it will be studied how much the roughness of the terrain influences the output energy. Also, that the assumption to be taken the same as to how much they will affect the annual energy produced.
The document summarizes a research paper that proposes using a battery energy storage system (BESS) with droop control to reduce frequency fluctuations in a multi-machine power system connected to a large-scale photovoltaic (PV) plant. The paper develops a droop control strategy for the BESS that incorporates a frequency error signal and dead-band. Simulation results using PSCAD/EMTDC software show that the proposed droop control-based BESS can efficiently curtail frequency oscillations caused by fluctuations in PV power injection due to changing solar irradiance.
This study investigates experimentally the performance of two-dimensional solar tracking systems with reflector using commercial silicon based photovoltaic module, with open and closed loop control systems. Different reflector materials were also investigated. The experiments were performed at the Hashemite University campus in Zarqa at a latitude of 32⁰, in February and March. Photovoltaic output power and performance were analyzed. It was found that the modified photovoltaic module with mirror reflector generated the highest value of power, while the temperature reached a maximum value of 53 ̊ C. The modified module suggested in this study produced 5% more PV power than the two-dimensional solar tracking systems without reflector and produced 12.5% more PV power than the fixed PV module with 26⁰ tilt angle.
This paper focuses on the modeling and control of a wind energy conversion chain using a permanent magnet synchronous machine. This system behaves a turbine, a generator, DC/DC and DC/AC power converters. These are connected on both sides to the DC bus, where the inverter is followed by a filter which is connected to the grid. In this paper, we have been used two types of controllers. For the stator side converter, we consider the Takagi-Sugeno approach where the parameters of controller have been computed by the theory of linear matrix inequalities. The stability synthesis has been checked using the Lyapunov theory. According to the grid side converter, the proportional integral controller is exploited to keep a constant voltage on the DC bus and control both types of powers. The simulation results demonstrate the robustness of the approach used.
The development of modeling wind speed plays a very important in helping to obtain the actual wind speed data for the benefit of the power plant planning in the future. The wind speed in this paper is obtained from a PCE-FWS 20 type measuring instrument with a duration of 30 minutes which is accumulated into monthly data for one year (2019). Despite the many wind speed modeling that has been done by researchers. Modeling wind speeds proposed in this study were obtained from the modified Rayleigh distribution. In this study, the Rayleigh scale factor (Cr) and modified Rayleigh scale factor (Cm) were calculated. The observed wind speed is compared with the predicted wind characteristics. The data fit test used correlation coefficient (R2), root means square error (RMSE), and mean absolute percentage error (MAPE). The results of the proposed modified Rayleigh model provide very good results for users.
This paper deals with an advanced design for a pump powered by solar energyto supply agricultural lands with water and also the maximum power point is used to extract the maximum value of the energy available inside the solar panels and comparing between techniques MPPT such as Incremental conductance, perturb & observe, fractional short current circuit, and fractional open voltage circuit to find the best technique among these. The solar system is designed with main parts: photovoltaic (PV) panel, direct current/direct current (DC/DC) converter, inverter, filter, and in addition, the battery is used to save energy in the event that there is an increased demand for energy and not to provide solar radiation, as well as saving energy in the case of generation more than demand. This work was done using the matrix laboratory (MATLAB) simulink program.
The objective of this paper is to provide an overview of the current state of renewable energy resources in Bangladesh, as well as to examine various forms of renewable energies in order to gain a comprehensive understanding of how to address Bangladesh's power crisis issues in a sustainable manner. Electricity is currently the most useful kind of energy in Bangladesh. It has a substantial influence on a country's socioeconomic standing and living standards. Maintaining a stable source of energy at a cost that is affordable to everyone has been a constant battle for decades. Bangladesh is blessed with a wealth of natural resources. Bangladesh has a huge opportunity to accelerate its economic development while increasing energy access, livelihoods, and health for millions of people in a sustainable way due to the renewable energy system.
When the irradiance distribution over the photovoltaic panels is uniform, the pursuit of the maximum power point is not reached, which has allowed several researchers to use traditional MPPT techniques to solve this problem Among these techniques a PSO algorithm is used to have the maximum global power point (GMPPT) under partial shading. On the other hand, this one is not reliable vis-à-vis the pursuit of the MPPT. Therefore, in this paper we have treated another technique based on a new modified PSO algorithm so that the power can reach its maximum point. The PSO algorithm is based on the heuristic method which guarantees not only the obtaining of MPPT but also the simplicity of control and less expensive of the system. The results are obtained using MATLAB show that the proposed modified PSO algorithm performs better than conventional PSO and is robust to different partial shading models.
A stable operation of wind turbines connected to the grid is an essential requirement to ensure the reliability and stability of the power system. To achieve such operational objective, installing static synchronous compensator static synchronous compensator (STATCOM) as a main compensation device guarantees the voltage stability enhancement of the wind farm connected to distribution network at different operating scenarios. STATCOM either supplies or absorbs reactive power in order to ensure the voltage profile within the standard-margins and to avoid turbine tripping, accordingly. This paper present new study that investigates the most suitable-location to install STATCOM in a distribution system connected wind farm to maintain the voltage-levels within the stability margins. For a large-scale squirrel cage induction generator squirrel-cage induction generator (SCIG-based) wind turbine system, the impact of STATCOM installation was tested in different places and voltage-levels in the distribution system. The proposed method effectiveness in enhancing the voltage profile and balancing the reactive power is validated, the results were repeated for different scenarios of expected contingencies. The voltage profile, power flow, and reactive power balance of the distribution system are observed using MATLAB/Simulink software.
The electrical and environmental parameters of polymer solar cells (PSC) provide important information on their performance. In the present article we study the influence of temperature on the voltage-current (I-V) characteristic at different temperatures from 10 °C to 90 °C, and important parameters like bandgap energy Eg, and the energy conversion efficiency η. The one-diode electrical model, normally used for semiconductor cells, has been tested and validated for the polemeral junction. The PSC used in our study are formed by the poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl C61-butyric acid methyl ester (PCBM). Our technique is based on the combination of two steps; the first use the Least Mean Squares (LMS) method while the second use the Newton-Raphson algorithm. The found results are compared to other recently published works, they show that the developed approach is very accurate. This precision is proved by the minimal values of statistical errors (RMSE) and the good agreement between both the experimental data and the I-V simulated curves. The obtained results show a clear and a monotonic dependence of the cell efficiency on the studied parameters.
The inverter is the principal part of the photovoltaic (PV) systems that assures the direct current/alternating current (DC/AC) conversion (PV array is connected directly to an inverter that converts the DC energy produced by the PV array into AC energy that is directly connected to the electric utility). In this paper, we present a simple method for detecting faults that occurred during the operation of the inverter. These types of faults or faults affect the efficiency and cost-effectiveness of the photovoltaic system, especially the inverter, which is the main component responsible for the conversion. Hence, we have shown first the faults obtained in the case of the short circuit. Second, the open circuit failure is studied. The results demonstrate the efficacy of the proposed method. Good monitoring and detection of faults in the inverter can increase the system's reliability and decrease the undesirable faults that appeared in the PV system. The system behavior is tested under variable parameters and conditions using MATLAB/Simulink.
The document describes a proposed modified bridge-type nonsuperconducting fault current limiter (NSFCL) for distribution networks. The NSFCL consists of a bridge rectifier, two DC reactors (one small in series and one large in parallel), and an IGBT semiconductor switch controlled by a command circuit. During normal operation, the IGBT is on and the parallel reactor is bypassed, making the NSFCL invisible. During a fault, the IGBT turns off, inserting the parallel reactor to limit fault current. Simulation results showed the design effectively limits fault current while minimally affecting normal operation.
This paper provides a new approach to reducing high-order harmonics in 400 Hz inverter using a three-level neutral-point clamped (NPC) converter. A voltage control loop using the harmonic compensation combined with NPC clamping diode control technology. The capacitor voltage imbalance also causes harmonics in the output voltage. For 400 Hz inverter, maintain a balanced voltage between the two input (direct current) (DC) capacitors is difficult because the pulse width modulation (PWM) modulation frequency ratio is low compared to the frequency of the output voltage. A method of determining the current flowing into the capacitor to control the voltage on the two balanced capacitors to ensure fast response reversal is also given in this paper. The combination of a high-harmonic resonator controller and a neutral-point voltage controller working together on the 400 Hz NPC inverter structure is given in this paper.
Direct current (DC) electronic load is a useful equipment for testing the electrical system. It can emulate various load at a high rating. The electronic load requires a power converter to operate and a linear regulator is a common option. Nonetheless, it is hard to control due to the temperature variation. This paper proposed a DC electronic load using the boost converter. The proposed electronic load operates in the continuous current mode and control using the integral controller. The electronic load using the boost converter is compared with the electronic load using the linear regulator. The results show that the boost converter able to operate as an electronic load with an error lower than 0.5% and response time lower than 13 ms.
More from International Journal of Power Electronics and Drive Systems (20)
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
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International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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and cover a wide spectral range. These devices such as lux meter [15, 16] can therefore be expensive and also
sometimes need special installation prior to the measurement [17, 18].
This paper develops a lower cost, easy to use platform to determine a localized maximum sun lux.
This solution looks a competitive for the most alternatives. Two different regions in Egypt (Cairo and Luxor)
of different solar profiles as shown [19] in Figure 1 are selected for verifying the proposed system validity.
The choice of the angles is made for collecting the most concentrated solar irradiation varying with time [20-
22]. The choice of areas is due to their different weather and sun shines [23].
Figure 1. The solar atlas of Egypt
2. OPERATIONAL PROCEDURE
The whole system is activated where the arduino is connected to group of LDR for two steps of the
peak lux coarse and fine as shown in Figure 2. The proposed system configured of two main modules as
followings:
2.1. Coarse lux determination
During this procedure that called coarse determination, a LDR has installed at each arm of the quad
directions (north, south, east and west).
2.2. Fine lux determination
Additional steps are including the LDR installation at (90o
, 100o
, 110o
and 120o
) of second quarter
(90o
- 180o
) for determining the most appropriate sun lux presence.
(a) Coarse lux determination (a) Fine lux determination
Figure 2. Stepped sun lux tracer
Luxor
Cairo
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3. THE SYSTEM PLATFORM
In this work, the main controller which is the arduino receives analog input from LDRs and it
converts the input into digital signal by using analog-to-digital (A/D) converter. Then the controller sends the
measured lux values to SD memory card (storage). The block diagram of the experimental work is shown
in Figure 3.
This project is divided into two stages namely, hardware and software development. In hardware
development, four light dependent resistors (LDRs) were utilized to capture the maximum light source from
the sun, RTC to retain time of reading and memory for data storage. In the software part, the code was
constructed by using C++ programming language and was targeted to the arduino uno controller.
Figure 3. Block diagram of overall system
3.1. System hardware
This work hardware platform configured of three main parts as follows:
3.1.1.Light dependent resistor (LDR)
Light dependent resistor (LDR) sensor: A light sensor is used to sense devices illumination level of
the sun light. A photoresistor is a sensor which electrical resistance is altered depending on the light intensity
falling on it. In spite of the PD sun sensor availability [24, 25], the resistance of the LDR is inversely
proportional to the light intensity at higher sensitivity degree.
3.1.2.Arduino board
The arduino uno is microcontroller board ecosystem that consists of a processor platform on the
ATmega328. It has 14 digital input and output pins: 6 pins used PWM outputs and 6 pins is analog input such
as the clock speed is 16MHz, the ceramic resonator, the USB connection, the power jack, the ICSP header
and the reset button.
3.1.3.Real time clock (RTC) module
A real-time clock (RTC) is a computer clock (most often in the form of an integrated circuit) that
keeps track of the current time. This should not be confused with hardware clocks which are only signals that
govern digital electronics, and do not count time in human units. The RTC module keeps accurate time for
years using a tiny coin-cell, and is very simple to connect to the Arduino board. The module uses the Arduino
analog pins A4 and A5 for "I2C" serial communications with the sketch. No other pins on the arduino are
used by the module other than power and GND, so they are all available for connection to other devices in
your projects. A driver library allows a program to easily set or read the time and date.
The arduino requires a power supply 12 V adapter. The controller works with 6V dc power supply
while sensors, RTC and SD memory work with 5V DC power voltage divider or DC chopper can therefore,
be used.
3.2. The system software
This system uses the arduino IDE on the windows platform to develop the application of auto
sunlight measurements. The arduino integrated development environment (IDE) is used to write and upload
the computer code to the physical board. Arduino IDE is a cross platform application developed using Java.
It is available for Windows, Linux and Mac operating systems. The graphical data representation is
implemented on Microsoft excel.
4. THE EXPERIMENTAL WORK
A photo diode accompanied with 9V relay driven by BC547BP transistor is used as a day/system
operation starter. The soft operation of the system is developed according to the flow chart of Figure 4. The
source codes were targeted to arduino uno board to be compiled and uploaded. The four LDRs were
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connected to arduino analog pins A0 to A3 to act as the input for the system. The built-in analog-to-digital
converter (ADC) transforms the analog value of LDR into digital pulse width modulation (PWM). Each LDR
was connected with fixed resistance and then connected to the arduino to read sun lux. The readings were
taken every 10 minutes by RTC module to know it’s time readings which connected with the arduino and the
readings were stored in SD memory card. Prototype was placed on a building roof because for much more
sunlight detection. The experiment carried out start of July up to October, 2018.
Figure 4. System procedure flow chart
The work is designed first on the famous drawing program CorelDraw we have used in drawing the
solar tracking system circuit and drawing the base of the control circuit. Second, we performed the drawings
on the machine CNC Co2 laser cutting and engraving machine to implement the proposed system. Figures 5
and 6 shows the schematic diagram that illustrates the measurements of the solar irradiations.
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Figure 5. The experimental proposed control system, 1) LDR starter, 2) 9V from adaptor, 3) Operational
amplifier, 4) Transistor BC547BP, 5) Relay 9V, 6) 9V to arduino, 7) 5V from arduino, 8) 7 jumpers from
LDRs, 9) Switch from 7 jumpers from LDRs to analog pins of arduino, 10) Arduino Uno, 11) RTC module,
(12) SD memory card
Figure 6. Arrangement of sensor for sun lux measurements
The LDR was first mounted at the northern zero and the lux was recorded. The same procedure was
repeated for different angles.
5. RESULTS AND ANALYSIS
The proposed sun lux tracer (SLT) configured of a fixed orthogonal quad LDRs that are allocated at
the quad direction (north, south, east and west). During the coarse sun lux determination, the results showed
that the quarter (90o
- 180o
) has the peak lux detection. This is accomplished at Luxor and Cairo as shown in
Figures 7 and 8, respectively. These curves will indicate the sun lux rising and decaying during daylight
hours.
The peak value of the sun lux is differing from Cairo to Luxor cities, Figures 7 and 8, respectively
that it can due to the difference of the sky clearance of the two cities. The accurate limited sector that can
grantee the greatest radiated energy of the sun is allocated by installing the LDR at the angles 90o
, 100o
, 110o
and 120o
. The measured results of Cairo and Luxor cities are depicted as shown in Figures 9 and 10
respectively. The closes results of the Luxor may be due to the lower sky fogs and dust.
It is observed from the experimental results of Figures 9 and 10 that the angle 100o
has the
maximum sun lux. For significantly identification of this optimized angle; the lux was repeatedly measured
along different days to verify the obtained results. Figures 11 and 12 show that the recommended
measurements of 100o
angle have almost peak values for these different days. This shows that the sun lux is
independent on the week days. This can explain why no need for MPPT mechanical solutions. This of course
will grant reliable and long-life time PV system utilization. Figure 11 displays the measurement results
similarity and stability due to the sky clearance as depicted in Figure 9.
The results confirmed that the Egyptian sun light offers higher than 1500 lux for around eight hours
in case of clean sky. The sun lux of the other national cities is much better than Cairo state which attributed
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to the factories spread around the Cairo state. On the other hand, Luxor city has been selected as another
location of the national cities. The inter dependence of the life time as well as the additional cost of the
mechanical solution for tracking system are sufficient enough to search any other technique. The results
assure that the mechanical maximum power point track (MPPT) can waste power much more than that can be
added.
Figure 7. Readings in Luxor city with coarse selecting
angles
Figure 8. Readings in Cairo with coarse selecting
angles
Figure 9. Luxor measurements at fine sectors
(angles)
Figure 10. Readings in Cairo at fine sectors (angles)
Figure 11. Readings in Luxor city of 100o
angle Figure12. Readings in Cairo city of 100o
angle
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6. CONCLUSIONS
Low cost, easy to use and efficient technique for a static localized maximum sun lux estimator has
been proposed and implemented. It provides in a short time (day to view days) an accurate angle of
maximum sun lux. This system can be considered a competitive alternative to the mechanical maximum
power point track (MPPT) systems. The light intensity has been measured using the LDR sensor connected to
an arduino based system. The obtained measurements at many days have almost maximum values at 100o
angle. A resultant cost reduction and long-life time of the photovoltaic (PV) system utilization have therefore
achieved. This work will be continued up to filling the whole year sun lux profile
ACKNOWLEDGEMENTS
The authors are pleased to thanks Associate Prof. Dr. El-Sayed Soliman Ahmed Said for his
contribution and sharing during this work.
REFERENCES
[1] H. Al-Taani and S. Arabasi, "Solar Irradiance Measurements Using Smart Devices: A Cost-Effective Technique
for Estimation of Solar Irradiance for Sustainable Energy Systems," Sustainability, vol. 10(2), 508, pp. 1-11, 2018
[2] C. K. Pandey and A. K. Katiyar, "Solar Radiation: Models and Measurement Techniques," Journal of Energy, vol.
2013, pp. 1-8, 2013.
[3] M. Bagheritabar, H. Bagheitabar, M. M. R. Kashani, and N. S. Khodashenas, "Photovoltaic Systems with
Rotational Panels to Harvest Natural and Artificial Light for Electrical Production," 5th International Conference
on Electrical and Electronics Engineering, pp. 211-214, 2018.
[4] A. A. Abdulrazzaq and A. H. Ali, "Efficiency Performances of Two MPPT Algorithms for PV System With
Different Solar Panels Irradiances," International Journal of Power Electronics and Drive System (IJPEDS), vol. 9,
no. 4, pp. 1755–1764, 2018.
[5] E. Kabir, P. Kumar, S. Kumar, A. A. Adelodun, and Ki-H. Kime, "Solar Energy: Potential and Future Prospects,"
Renewable and Sustainable Energy Reviews, vol. 82, no. 1, pp. 894–900, 2018.
[6] P. D. A. Aziz, S. S. A. Wahid, Y. Z. Arief, and N. A. Aziz, "Evaluation of Solar Energy Potential in Malaysia,"
Trends Bioinform, vol. 9, no. 2, pp. 35–43, 2016.
[7] D. O. Akinyele and R. K. Rayudu, "Comprehensive Techno-Economic and Environmental Impact Study of a
Localised Photovoltaic Power System (PPS) for Off-Grid Communities," Energy Conversion and Management,
vol. 124, pp. 266–279, 2016.
[8] S. N. Khine and Z. Tun, "Sensor Analysis and Application of Arduino based Temperature and Light Intensity
Control for Smart Home System," International Journal of Scientific and Research Publications, vol. 8, no. 6,
pp. 89-94, 2018.
[9] U. A. S. K. Edirisinghe, "Study to Evaluate The Effectiveness of Lighting System by Using LED Technology in
Commercial Buildings," M.Sc. Thesis, University of Vocational Technology, 2012.
[10] M. Oki and H. Shiina, "Preliminary Study on an Estimation Method for Annual Solar Irradiance at Various
Geographical Altitudes," 8th International IBPSA Conference, Eindhoven, Netherlands, pp. 11-14, 2003.
[11] K. Muthukumar and T. S. Anandhi, "Real Time Implementation of Variable Step Size Based P&O MPPT for PV
Systems Based on dSPACE," International Journal of Power Electronics and Drive System (IJPEDS), vol. 7,
no. 3, pp. 915-925, 2016.
[12] S. A. Jumaat and M. H. Othman, "Solar Energy Measurement Using Arduino," MATEC Web of Conferences,
vol. 150, pp. 1- 6, 2018.
[13] S. M. Raihan, R. Muhida, M. H. Ullah, and L. Sulastri, "Design of a radio telemetry solar radiation sensor using
solar cell," American journal of scientific research, vol. 10, pp. 78-86, 2010.
[14] K. R. Ajao, R. M. Ambali, and M. O. Mahmoud, "Determination of The Optimal Tilt Angle for Solar Photovoltaic
Panel in Ilorin, Nigeria," Journal of Engineering Science and Technology Review, vol. 6, no. 1, pp. 87–90, 2013.
[15] A. H. Ismail, M. S. M. Azmi, M. A. Hashim, M. N. Ayob, M. S. M. Hashim, and Hassrizal H.B., "Development of
a Webcam Based Lux Meter," IEEE Symposium on Computers and Informatics, pp. 70-74, 2013.
[16] S. Sumriddetchkajorn and A. Somboonkaew," Low-Cost Cell Phone-Based Digital Lux Meter," The International
Society for Optical Engineering, vol. 7853, pp. 1-6, 2010.
[17] K. N. Poudyal, B. K. Bhattarai, B. K. Sapkota, B. Kjeldstad, and N. R. Karki, "Estimation of Global Solar
Radiation using Pyranometer and NILU-UV Irradiance Meter at Pokhara Valley in Nepal," Journal of the Institute
of Engineering, vol. 9, no. 1, pp. 69–78, 2013.
[18] M. Elyaqouti, S. Hakim, S. Farhat, L. Bouhouch, and A. Ihlal, "Implementation in Arduino of MPPT Using
Variable Step Size P&O Algorithm in PV Installations," International Journal of Power Electronics and Drive
System (IJPEDS), vol. 8, no. 1, pp. 434–443, 2017.
[19] H. El-Askary, P. Kosmopoulos, and S. Kazadzis, "The Solar Atlas of Egypt," Ministry Of Electricity and
Renewable Energy, Egypt, pp. 1-277, 2018.
[20] M. Mirzaei and M. Z. Mohiabadi, "Comparative Analysis of Energy Yield of Different Tracking Modes of PV
Systems in Semiarid Climate Conditions: The Case of Iran," Renewable Energy, vol. 119, pp. 400–409, 2018.
8. ISSN: 2088-8694
Int J Pow Elec & Dri Syst, Vol. 10, No. 2, June 2019 : 777 – 784
784
[21] S. Bazyari, R. Keypour, S. Farhangi, A. Ghaedi, and K. Bazyari, "A Study on the Effects of Solar Tracking
Systems on the Performance of Photovoltaic Power Plants," Journal of Power and Energy Engineering, vol. 2,
no. 4, pp. 718–728, 2014.
[22] A. Abdulmula, K. Sopian, L. C. Haw, and A. Fazlizan, "Performance evaluation of standalone double axis solar
tracking system with maximum light detection MLD for telecommunication towers in Malaysia," International
Journal of Power Electronics and Drive System (IJPEDS), vol. 10, no. 1, pp. 444-453, 2019.
[23] N. Kannan and D. Vakeesan, "Solar Energy for Future World: - A review," Renewable and Sustainable Energy
Reviews, vol. 62, pp. 1092–1105, 2016.
[24] M. Sumathi, R. Ranjan, R. K. Singh, and P. Kumar, "Performance Analysis of Sun sensors for Satellite systems,"
International Conference on Advanced Electronic Systems, pp. 10-14, 2013.
[25] R. Saleem and S. Lee, " Accurate and Cost-Effective Micro Sun Sensor Based on CMOS Black Sun Effect,"
Sensors, vol. 19, no. 3, pp. 1-17, 2019.