scholarly journals TEST BENCH SOLAR POWER MEASUREMENT

2021 ◽  
Author(s):  
Lakshmi Swarupa
Keyword(s):  
Solar Energy ◽  
Light Intensity ◽  
Power Output ◽  
Solar Power ◽  
Load Resistance ◽  
Industrial Applications ◽  
Solar Panel ◽  
Power Measurement ◽  
Power Characteristics ◽  
Incandescent Bulb

Nowadays, Solar power is utilized more in <i>domestic</i>, commercial, and industrial applications. Solar energy is renewable energy which is produced from sun heat. In 2020 India solar installed capacity was 34,627 MW. In this paper developed an experimental setup for solar panel power measurement. In this current, voltage and light intensity has been measured. Declination angle of sun to earth is +23.5°degrees, -23.5°degrees. The model of sun is represented by an incandescent bulb light and the angles set up manually. In this explained about solar power output at load side and see the variation between power and load resistance. Solar panel is generated power by light intensity applied by using incandescent light bulb. The light intensity changed by using a voltage regulator. The power is measured by using voltmeter and ammeter readings. Solar energy is to emulate the solar panel output power characteristics. The model of sun was taken as an incandescent bulb light and placed on the circular iron track to change east to the west. By changing the position of the bulb and changing the bulb light intensity with the help of the D.C speed regulator. Solar panel is placed in such a way that it freely moves to certain angles. By taking voltmeter and ammeter readings calculate the power. The graph is drawn between resistance versus power, the unique source of energy. The main aim of the paper is. Ensure that the maximum power output occurs at load which is taken as a resistor bank.

scholarly journals TEST BENCH SOLAR POWER MEASUREMENT

2021 ◽  
Author(s):  
Lakshmi Swarupa
Keyword(s):  
Solar Energy ◽  
Light Intensity ◽  
Power Output ◽  
Solar Power ◽  
Load Resistance ◽  
Industrial Applications ◽  
Solar Panel ◽  
Power Measurement ◽  
Power Characteristics ◽  
Incandescent Bulb

Nowadays, Solar power is utilized more in <i>domestic</i>, commercial, and industrial applications. Solar energy is renewable energy which is produced from sun heat. In 2020 India solar installed capacity was 34,627 MW. In this paper developed an experimental setup for solar panel power measurement. In this current, voltage and light intensity has been measured. Declination angle of sun to earth is +23.5°degrees, -23.5°degrees. The model of sun is represented by an incandescent bulb light and the angles set up manually. In this explained about solar power output at load side and see the variation between power and load resistance. Solar panel is generated power by light intensity applied by using incandescent light bulb. The light intensity changed by using a voltage regulator. The power is measured by using voltmeter and ammeter readings. Solar energy is to emulate the solar panel output power characteristics. The model of sun was taken as an incandescent bulb light and placed on the circular iron track to change east to the west. By changing the position of the bulb and changing the bulb light intensity with the help of the D.C speed regulator. Solar panel is placed in such a way that it freely moves to certain angles. By taking voltmeter and ammeter readings calculate the power. The graph is drawn between resistance versus power, the unique source of energy. The main aim of the paper is. Ensure that the maximum power output occurs at load which is taken as a resistor bank.

scholarly journals Predicting the Performance of Solar Power Generation Using Deep Learning Methods

2021 ◽  
Vol 11 (15) ◽  
pp. 6887
Author(s):  
Chung-Hong Lee ◽  
Hsin-Chang Yang ◽  
Guan-Bo Ye
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Photovoltaic Cell ◽  
Power Prediction ◽  
Seasonal Characteristics ◽  
Variable Nature ◽  
Solar Power Plants

In recent years, many countries have provided promotion policies related to renewable energy in order to take advantage of the environmental factors of sufficient sunlight. However, the application of solar energy in the power grid also has disadvantages. The most obvious is the variability of power output, which will put pressure on the system. As more grid reserves are needed to compensate for fluctuations in power output, the variable nature of solar power may hinder further deployment. Besides, one of the main issues surrounding solar energy is the variability and unpredictability of sunlight. If it is cloudy or covered by clouds during the day, the photovoltaic cell cannot produce satisfactory electricity. How to collect relevant factors (variables) and data to make predictions so that the solar system can increase the power generation of solar power plants is an important topic that every solar supplier is constantly thinking about. The view is taken, therefore, in this work, we utilized the historical monitoring data collected by the ground-connected solar power plants to predict the power generation, using daily characteristics (24 h) to replace the usual seasonal characteristics (365 days) as the experimental basis. Further, we implemented daily numerical prediction of the whole-point power generation. The preliminary experimental evaluations demonstrate that our developed method is sensible, allowing for exploring the performance of solar power prediction.

scholarly journals Short Time Solar Power Forecasting Using Persistence Extreme Learning Machine Approach

2021 ◽  
Vol 294 ◽  
pp. 01002
Author(s):  
Xiaoyan Xiang ◽  
Yao Sun ◽  
Xiaofei Deng
Keyword(s):  
Solar Energy ◽  
Extreme Learning Machine ◽  
Power Output ◽  
Smart Grids ◽  
Large Scale ◽  
Solar Power ◽  
Learning Algorithm ◽  
Power Performance ◽  
Energy Prediction ◽  
Learning Machine

Solar energy in nature is irregular, so photovoltaic (PV) power performance is intermittent, and highly dependent on solar radiation, temperature and other meteorological parameters. Accurately predicting solar power to ensure the economic operation of micro-grids (MG) and smart grids is an important challenge to improve the large-scale application of PV to traditional power systems. In this paper, a hybrid machine learning algorithm is proposed to predict solar power accurately, and Persistence Extreme Learning Machine(P-ELM) algorithm is used to train the system. The input parameters are the temperature, sunshine and solar power output at the time of i, and the output parameters are the temperature, sunshine and solar power output at the time i+1. The proposed method can realize the prediction of solar power output 20 minutes in advance. Mean absolute error (MAE) and root-mean-square error (RMSE) are used to characterize the performance of P-ELM algorithm, and compared with ELM algorithm. The results show that the accuracy of P-ELM algorithm is better in short-term prediction, and P-ELM algorithm is very suitable for real-time solar energy prediction accuracy and reliability.

Investigation of Fresnel Lens Effect on Solar Panel Power Generation

2021 ◽  
Vol 80 (1) ◽  
pp. 37-49
Author(s):  
Abdul Hadi Mohaimin ◽  
Md. Rakib Uddin ◽  
Hasnul Hashim
Keyword(s):  
Power Generation ◽  
Power Output ◽  
Load Resistance ◽  
Fresnel Lens ◽  
Solar Panel ◽  
Heat Absorption ◽  
Solar Power Generation ◽  
Voltage Output ◽  
Long Run ◽  
Power Outputs

Solar panel power output can still be improved through various means. The aim of this paper is to investigate the effect on solar panel power generation due to Fresnel lens distance to the solar panel. The use of Fresnel lens is to magnify the light intensity from the sun to achieve higher solar collectability of solar panel which may increase power output. The Fresnel lens is to be positioned on top of the solar panel to concentrate the sunlight on to the solar panel. Voltages are measured by an electronic microcontroller with a 10-second interval while power output are determined by the product of voltage and load resistance connected to the solar panel. Immediate results were an instantaneous rise in voltage output but gradually decreasing with increase heat absorption in the solar panel. In the long run, voltage and power outputs were obtained at 0, 5, 10, 20, 30 and 40 cm Fresnel lens distance to the solar panel where all results saw the reduction in voltage and power generation from the solar panel incorporated with Fresnel lens compared to one without due to high ambient temperature. Because of this, it is deemed unfeasible to use Fresnel lens for solar power generation in hot areas such as those with equatorial or tropical climate.

On the Solar PV Monitoring System

2019 ◽  
Vol 19 (1) ◽  
pp. 28-32 ◽  
Author(s):  
Muhanned Al-Rawi
Keyword(s):  
Solar Energy ◽  
Monitoring System ◽  
Power Output ◽  
Energy Sector ◽  
Solar Panel ◽  
Free Form ◽  
Solar Pv

AbstractSolar energy is increasingly becoming commonplace in the society with the ever rising electricity bills and reduction in price in solar equipment. Being an “essentially free” form of energy it is necessary to contribute to developments that support or improve the solar energy sector. This paper presents a way to monitor the voltage, current and power output from a solar panel, with the aim of monitoring and projecting the output from a solar farm.

Effect of Power Characteristics on Solar Panels: Hands-On Projects for Clean Energy Systems Class

2016 ◽  
Author(s):  
Birce Dikici ◽  
Javier Jalandoni
Keyword(s):  
Solar Cell ◽  
Solar Energy ◽  
Energy Systems ◽  
Clean Energy ◽  
Solar Panel ◽  
Electricity Production ◽  
Solar Panels ◽  
Electrical Measurements ◽  
Power Characteristics ◽  
Electrical Generation

In this paper, experiments that can be introduced to Clean Energy Systems classes are described. The experiments investigate the effect of power characteristics (temperature, shade and tilt angle) on solar panel electricity production. Solar cell efficiency is the ratio of the electrical output of a solar cell to the incident energy in the form of sunlight. The energy conversion efficiency of a solar cell is the percentage of the solar energy to which the cell is exposed that is converted into electrical energy. Extreme temperatures can cause a decrease in solar panel’s power output and airstream can dissipate the heat and bring the solar panel to its normal operating condition. Solar panel efficiency is undesirably affected by heat and improved with introducing cooler medium. As well as heat, solar panel loses its power when a part of it is shaded by trees or surrounding buildings. Before solar panel systems are designed for homes, usually a detailed shading analysis of the roof is conducted to reveal its patterns of shade and sunlight throughout the year. By the same manner, how solar panels react to the direct and indirect rays from the sun in order to produce electricity is examined through experiments. Voltage, current and power flowing into a resistor are measured when the angle of the solar panel relative to the light source is changed. The tilt angles to the electrical measurements are linked to the differences in electrical generation. Students can perform experimental procedures explained here and gain the conceptual understanding of the Solar Energy better. The investigations require student explanation of the question, method, display of data with the critical response from peers.

scholarly journals Solar Panel Measurement System using Arduino with Bluetooth

2021 ◽  
Vol 3 (1) ◽  
pp. 72
Author(s):  
Al Qindi M. Yusuf ◽  
Evanco Hollis N.P. Simangunsong ◽  
Indah Tria Wilyani ◽  
Iksan Bukhori
Keyword(s):  
Solar Energy ◽  
Light Intensity ◽  
Measurement System ◽  
Voltage Divider ◽  
Solar Panel ◽  
Digital Output ◽  
Analog Input ◽  
Two Parameters

This project aims to develop a measurement of solar energy using Arduino. In this research, two parameters that been measured are light intensity and the voltage. The light intensity was measured using light dependent resistor (LDR) sensor. The voltage was measured using the voltage divider because the voltage generated by the solar panel are large for the Arduino as receiver. These parameters as the input value for the Arduino and the output was display at the Arduino Bluetooth Controller. The Arduino Bluetooth controller display output of the light intensity and the voltage value. The purpose of using Arduino is to convert the analog input of parameter to the digital output and display via Bluetooth .

scholarly journals IoT Based Solar Panel Tracking System with Weather Monitoring System

2021 ◽  
Author(s):  
K. Dinesh ◽  
Lakshmi Priya. A ◽  
Preethi. T ◽  
Sandhya. M ◽  
Sangeetha. P
Keyword(s):  
Solar Energy ◽  
Monitoring System ◽  
Solar Power ◽  
Tracking System ◽  
Photovoltaic Cells ◽  
Solar Panel ◽  
Electricity Production ◽  
Monitoring Systems ◽  
Rain Drop ◽  
Solar Electricity

Solar power is the burgeoning method of continual energy. The assignment is designed and carried out the use of dual axis sun tracker system. In order to maximise power era from solar, it’s important to introduce sun ray monitoring systems into solar electricity production. A dual-axis tracker can boom power through monitoring solar rays from switching photovoltaic cells in various directions. These photovoltaic cells can rotate in all directions. The LDR (Light Dependent Resistor) have been used to feel the depth of mild at 30 degree every or at 180 degree general and ship the information to microcontroller. This assignment also can be used to experience rain drop, temperature and humidity using sensor and they may be displayed on LCD. We can save the Solar energy in battery.

scholarly journals Structure of a Smart Grass Cutter Based on Solar Power

2019 ◽  
Vol 8 (11S) ◽  
pp. 918-920
Keyword(s):  
Solar Energy ◽  
Solar Power ◽  
Electrical Energy ◽  
Vertical Axis ◽  
Dc Motor ◽  
Solar Panel ◽  
Alternative Source ◽  
Rotating Blades ◽  
Cutting Machine ◽  
Day By Day

According to the present technology commonly used manually operated devices or machines to cut the grass. In this project we introduce the smart grass cutting machine. The machine consisting of rotating blades operated by the DC motor, trolley to store the grass, hurdle removal and the system is operated by the electrical energy provided by the battery, and the solar panel is used to charge the battery. The main aim of the smart grass cutting device is to provide the operation of grass cutting at the desired area input by the user. This machine is designed to cut the grass at the desired height. Grass cutting employing a rotary blade which is rotated along the vertical axis are known as rotary mover. The requirement of electricity is increasing day by day at an alarming rate due to use of electrical gadgets and the growing amount of industries and the machines. Solar energy is a best alternative source of the energy.

Forecasting and Analysis of Solar Power Output from Integrated Solar Energy and IoT System

2021 ◽  
Author(s):  
Hasyiya Karimah Adli ◽  
Ku Azmie Ku Husin ◽  
Nurul Hasya Mohd Hanafiah ◽  
Muhammad Akmal Remli ◽  
Ferda Ernawan ◽  
...  
Keyword(s):  
Solar Energy ◽  
Power Output ◽  
Solar Power
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