![REFERENCE
• [1] J. Benedek, T.-T. Sebestyén, and B. Bartók, ``Evaluation of renewable
energy sources in peripheral areas and renewable energy-based rural
development,'‘ Renew. Sustain. Energy Rev., vol. 90, no. 1, pp. 516535, 2018.
• [2] M. S. Mahdavinejad, M. Rezvan, M. Barekatain, P. Adibi, P. Barnaghi, and
A. P. Sheth, ``Machine learning for Internet of Things data analysis: A survey,''
Digit. Commun. Netw., vol. 4, no. 3, pp. 161175, 2018.
• [3] P. Sethi and S. R. Sarangi, ``Internet of Things: Architectures, protocols,
and applications,'' J. Elect. Comput. Eng., vol. 2017, Jan. 2017, Art. no.
9324035.
• [4] P. P. Ray, ``A survey of IoT cloud platforms,'' Future Comput. Inform. J.,
vol. 1, nos. 12, pp. 3546, 2016.](https://image.slidesharecdn.com/ppt-1-230409065238-11848f58/85/ppt-1-pptx-31-320.jpg)
ppt-1.pptx
- 1. EFFICIENT ENERGY MANAGEMENT: AN IOT SOLUTION FOR SOLAR POWER PLANTS
- 2. ABSTRACT • To harness reliable energy efficiently, the photovoltaic panels system must remain in its best condition. This requires continuous maintenance and monitoring. However, in case of weather dependable energy yield change. • This requires continuous maintenance and monitoring. However, in case of weather dependable energy yield change. • We proposed a novel real-time monitoring system utilizing a small but efficient articial neural network that is adequate to run on a low-cost system • To environmental conditions, or is not normal because of faulty, or shaded, or dust-covered panel, an intelligent monitoring system is required. • The presented PV monitoring system can identify if the photovoltaic panel exhibit degradation due to fault conditions.
- 3. INTRODUCTION • The fast-ever-growing energy demands and the global environmental issues necessitate the use of renewable resources. • Among renewable energy yielding technologies, Solar panels are of the greatest future projection. • An intelligent reference analytical module for real-time individual photovoltaic panel monitoring based on the articial neural network. • We discuss the system overall implementation, the mathematical module behind its intelligent reference model, and its hardware implementation. • The contribution of solar PV energy increased remarkably compared to the previous four decades.
- 5. S.NO TITLE AUTHOR & YEAR DESCRIPTION 1 Evaluation of renewable energy sources in peripheral areas and renewable energy-based rural development Jozsef Benedek, Tihamer-Tibor Sebestyen 2019 The renewable energy potential maps, combined with a multidimensional index expressing the development level of localities, are good predictors of appropriate locations for the development of renewable energy source- based facilities 2 Machine learning for Internet of Things data analysis: A survey Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan 2019 Intelligent processing and analysis of this Big Data is the key to developing smart IoT applications. This article assesses the different machine learning methods that deal with the challenges in IoT data by considering smart cities as the main use case.
- 6. 3 Internet of Things: Architectures, Protocols, and Applications Pallavi Sethi and Smruti R. Sarangi 2019 A novel taxonomy for IoT technologies, highlights some of the most important technologies, and profiles some applications that have the potential to make a striking difference in human life, especially for the differently abled and the elderly. 4 Photovoltaic Model With Mpp Tracker For Standalone / Grid Connected Applications E.M. Natsheh, A. Albarbar 2020 The dynamic behaviour of the proposed model has been validated by using Sharp’s NUS0E3E and Lorentz’ mono-crystalline modules in different solar radiation and temperature conditions. 5 Power Generation of Solar PV Systems in Palestine Emad Maher Natsheh 2020 A renewable resource of power generation for grid connected applications in residential quarter in north Palestine.
- 7. EXISTING SYSTEM • A low-cost web server using ESP32 for real-time photovoltaic data collection with manual monitoring from user. • A system for collecting data from the photovoltaic parks. The data was collected from the PV park devices, measurement systems in the region of the park (weather stations) and from data sources accessible on the Internet.
- 8. PROPOSED SYSTEM • Photovoltaic panels system is becoming a popular choice as an alternative source of energy. To harness reliable energy efficiently, the photovoltaic panels system must remain in its best condition. • This system consists of sensor like Temperature Sensor, Dust Sensor and Rain Sensor. • Temperature sensor is used to measure the temperature value • Dust sensor used for detecting the dust will be high, at same for Rain sensor is used to measure the rain value and display on LCD Display. Short circuiting in solar is detected alerted through IOT • Measured all sensor information updated to IOT.If any sensor values are high or any circuit are shorted to intimate on buzzer.
- 9. BLOCK DIAGRAM ARDUINO UNO TEMPERATURE SENSOR DUST SENSOR RAIN SENSOR LCD DISPLAY IOT BATTERY SOLAR WATER MOTOR SHORT CIRCUIT BUZZER
- 10. CIRCUIT DIAGRAM
- 11. SOFTWARE REQUIREMENTS • MC Programming Language :Embedded C • Coding : Arduino IDE 1.8.3 • Simulation :PROTEUS
- 12. ARDUINO IDE • The Arduino integrated development environment (IDE) is a cross- platform application (for Windows, macOS, Linux) that is written in the programming language Java. It is used to write and upload programs to Arduino board. • Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino boards are able to read inputs - light on a sensor, a finger on a button, or a Twitter message - and turn it into an output - activating a motor, turning on an LED, publishing something online. You can tell your board what to do by sending a set of instructions to the microcontroller on the board
- 13. PROTEUS • Proteus is a simulation and design software tool developed by Labcenter Electronics for Electrical and Electronic circuit design. • Proteus's simulation feature. Many of the components in Proteus can be simulated. There are two options for simulating: Run simulator and advance frame by frame. • The "Run simulator" option simulates the circuit in a normal speed (If the circuit is not heavy). "Advance frame by frame" option advances to next frame and waits till you click this button for the next time. This can be useful for debugging digital circuits.
- 14. HARDWARE REQUIREMENTS • ARDUINO UNO • SOLAR PANEL • BATTERY • TEMPERATURE SENSOR • DUST SENSOR • RAIN SENSOR • LCD DISPLAY • IOT • WATER MOTOR • BUZZER
- 15. ARDUINO • Arduino is an open-source prototyping platform based on easy-to- use hardware and software. • Arduino boards are able to read inputs - light on a sensor, a finger on a button, or a Twitter message - and turn it into an output - activating a motor, turning on an LED, publishing something online. • You can tell your board what to do by sending a set of instructions to the microcontroller on the board. • To do so you use the Arduino programming language (based on Wiring), and the Arduino Software (IDE), based on Processing.
- 17. SOLAR PANEL • A solar panel is a set of solar photovoltaic modules electrically connected and mounted on a supporting structure. A photovoltaic module is a packaged, connected assembly of solar cells. The solar panel can be used as a component of a larger photovoltaic system to generate and supply electricity in commercial and residential applications.12v 3w panel.
- 18. TEMPERATURE SENSOR (DH11) • A humidity sensor senses, measures and regularly reports the relative humidity in the air. It measures both moisture and air temperature. • Relative humidity, expressed as a percent, is the ratio of actual moisture in the air to the highest amount of moisture air at that temperature can hold. • The warmer the air is, the more moisture it can hold, so relative humidity changes with fluctuations in temperature.
- 19. RAIN SENSOR • This module allows you measure moisture via analog output pins and it provides a digital output when a threshold of moisture is exceeded. • The module is based on the LM393 op amp. It includes the electronics module and a printed circuit board that “collects” the rain drops. • As rain drops are collected on the circuit board, they create paths of parallel resistance that are measured via the op amp. • The lower the resistance (or the more water), the lower the voltage output. Conversely, the less water is the greater the output voltage on the analog pin.
- 21. DUST SENSOR • Dust Sensor is a simple air monitoring module with onboard Sharp GP2Y1010AU0F. • It is capable of detecting fine particle larger than 0.8μm in diameter, even like the cigarette smoke. • Analog voltage output of the sensor is linear with dust density. • The module has embedded voltage boost circuit to support wide range of power supply. •
- 22. 2*16 LCD DISPLAY A liquid-crystal display (LCD) is a flat-panel display or other electronic visual display that uses the light-modulating properties of liquid crystals. Liquid crystals do not emit light directly.
- 23. LCD DISPLAY
- 24. WATER MOTOR • A pump motor is a DC motor device that moves fluids. • A DC motor converts direct current electrical power into mechanical power. • DC or direct current motor works on the principal, when a current carrying conductor is placed in a magnetic field, it experiences a torque and has a tendency to move. • Pumps operate by some mechanism (typically reciprocating or rotary), and consume energy to perform mechanical work by moving the fluid.
- 25. NODE MCU • NodeMCU is the WiFi equivalent of ethernet module. It combines the features of WiFi access point and station + microcontroller. These features make the NodeMCU extremely powerful tool for WiFi networking. It can be used as access point and/or station, host a web server or connect to internet to fetch or upload data.
- 26. BATTERY 12V1.5AH • The rechargeable backup battery provides power to Finger Tec terminals when the primary source of power is unavailable. With the right backup battery, your system won’t have to be interrupted during a power failure. • A battery charger is a device used to put energy into a cell or (rechargeable) battery by forcing an electric current through it. Lead-acid battery chargers typically have two tasks to accomplish. The first is to restore capacity, often as quickly as practical. The second is to maintain capacity by compensating for self discharge.
- 27. BUZZER • A buzzer or beeper is an audio signalling device, which may be mechanical, electromechanical, or piezoelectric. Typical uses of buzzers and beepers include alarm devices, timers, and confirmation of user input such as a mouse click or keystroke.
- 28. RESULTS
- 30. CONCLUSION • Solar panels monitoring system is presented with high prediction accuracy. The hardware design and implementation of the monitoring system on low cost microcontroller was discussed. • The monitoring system has the ability of identifying any individual PV panel that requires maintenance • The more PV panels are connected to the monitoring system, the lower is the additional cost per PV panel. • The monitoring system will a PV panel for maintenance if the predicted output power for that PV panel, obtained from articial neural network model. • The actual output power of that PV panel, obtained from sensors, has a percentage difference more than 10%.
- 31. REFERENCE • [1] J. Benedek, T.-T. Sebestyén, and B. Bartók, ``Evaluation of renewable energy sources in peripheral areas and renewable energy-based rural development,'‘ Renew. Sustain. Energy Rev., vol. 90, no. 1, pp. 516535, 2018. • [2] M. S. Mahdavinejad, M. Rezvan, M. Barekatain, P. Adibi, P. Barnaghi, and A. P. Sheth, ``Machine learning for Internet of Things data analysis: A survey,'' Digit. Commun. Netw., vol. 4, no. 3, pp. 161175, 2018. • [3] P. Sethi and S. R. Sarangi, ``Internet of Things: Architectures, protocols, and applications,'' J. Elect. Comput. Eng., vol. 2017, Jan. 2017, Art. no. 9324035. • [4] P. P. Ray, ``A survey of IoT cloud platforms,'' Future Comput. Inform. J., vol. 1, nos. 12, pp. 3546, 2016.