scholarly journals A Power Case Study for Monocrystalline and Polycrystalline Solar Panels in Bursa City, Turkey

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Ayşegül Taşçıoğlu ◽  
Onur Taşkın ◽  
Ali Vardar
Keyword(s):  
Power Generation ◽  
Temperature Sensor ◽  
Solar Panel ◽  
Time Dependent ◽  
Total Radiation ◽  
Solar Panels ◽  
Positive Direction ◽  
Direct Radiation ◽  
Instantaneous Power

It was intended to reveal the time dependent power generation under different loads for two different solar panels under the conditions of Bursa province in between August 19 and 25, 2014. The testing sets include solar panels, inverter, multimeter, accumulator, regulator, pyranometer, pyrheliometer, temperature sensor, and datalogger. The efficiency of monocrystalline and polycrystalline solar panels was calculated depending on the climatic data’s measurements. As the result of the study, the average performances of monocrystalline and polycrystalline panels are 42.06 and 39.80 Wh, respectively. It was seen that 87.14 W instantaneous power could be obtained from monocrystalline solar panel and that 80.17 W instantaneous power could be obtained from polycrystalline solar panel under maximum total radiation (1001.13 W/m2). Within this frame, it was determined that monocrystalline solar panel is able to operate more efficiently under the conditions of Bursa compared to polycrystalline solar panel. When the multivariate correlations coefficients were examined statistically, a significant relationship in positive direction was detected between total and direct radiation and ambient temperature on energy generation from monocrystalline and polycrystalline panel.

scholarly journals Designing and Modeling of Solar Panel with Dish Reflector for Productive Improvement by Optimum Utilisation of Plant Area

2019 ◽  
Vol 8 (3) ◽  
pp. 3955-3957
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Light Intensity ◽  
Solar Panel ◽  
Solar Power Plant ◽  
Solar Panels ◽  
Factors Associated ◽  
Plant Area ◽  
Parabolic Dish ◽  
Solar Rays

In this paper, we propose a conceptual design to reduce the solar power plant area by using dish reflector and solar panel arrangement by placing the solar panel at 90° angle. The solar rays get redirected into the box with the help of parabolic dish reflectors which results reduced size requirement for the panel installation. The reflective surface increases both light intensity as well as power generation by the solar panel. Also, the usual factors associated with general installation method like dust or snow formation and bird dropping over the panels that affect the efficiency of solar panels are avoided in this light box concept.

Solar Panel Automatic Positioning and Maximum Light Flux Direction Tracking

2021 ◽  
pp. 115-132
Author(s):  
K.V. Selivanov
Keyword(s):  
Power Generation ◽  
Alternative Energy ◽  
Power Plants ◽  
Light Flux ◽  
Solar Panel ◽  
Solar Panels ◽  
Moving Vehicle ◽  
New Device ◽  
Maximum Light ◽  
Automatic Positioning

The paper analyzes the state and possible ways of development of alternative energy, describes the prospects for the development of solar power plants, their classification and areas of application. Within the research, we revealed the problems that arise when installing and operating solar panels and identified the reasons that reduce their efficiency. Consequently, we analyzed the ways to increase the efficiency of power generation by solar panels and suggested solar panel automatic positioning and maximum light flux direction tracking as a possible solution to the problem. The study introduces a new device for positioning solar panels, which is distinguished by the automatic deployment and positioning of solar panels according to the actual direction of the maximum light flux. The device provides possible automation of the installation and greater efficiency of solar panels. The novelty of the device is protected by a utility model patent no. 180765 RF. To confirm the efficiency and to obtain a quantitative value of the increase in power generation by solar panels due to the use of the developed device, we present the comparison methodology and a description of the experiment. The schematic diagram and external view of the developed device are also shown. The experimental results are processed and shown in a graph. The possibility of increasing power generation by solar panels by tracking the maximum light flux and reorienting the solar panel towards it during the day has been confirmed, and a quantitative value of the increase in power generation has been obtained. Based on the positive results of the experiment, the possibility of using the developed device for automating the process of deploying solar panels in an autonomous way and excluding human participation in this process is described. The operation of the developed device on a moving vehicle and other methods of its application are considered. The results are summed up, conclusions are drawn and possible further directions for the development and use of the proposed method for increasing the efficiency of solar panels and the developed device for improving the performance of solar panels are identified

scholarly journals HELIANTHUS - SMART SOLAR PANEL

2013 ◽  
pp. 19-22
Author(s):  
Prof. Shashank Pujari ◽  
Prangyadarshini Behera ◽  
Devendrakumar Yadav
Keyword(s):  
Power Generation ◽  
Embedded System ◽  
Tracking System ◽  
Energy System ◽  
Solar Panel ◽  
Solar Photovoltaic ◽  
Solar Panels ◽  
Fixed Position ◽  
Photovoltaic Power ◽  
Solar Tracking

The paper outlines an application of smart solar “photovoltaic” power generation. Solar panels are typically in fixed position. They're limited in their energy-generating ability because they cannot consistently take full advantage of maximum sunlight. For more effective solar energy system, the solar panel should be able to align with sunlight as it changes during a given day. The present paper examines the design advantages of creating an intelligent solar tracking system like a helianthus flower using microcontroller based embedded system.

Wind Effects on Power Generation of Solar Farm in California

2019 ◽  
Author(s):  
Ni Li ◽  
Arianna Fatahi ◽  
Dennis Lee ◽  
Jim Y. Kuo ◽  
He Shen
Keyword(s):  
Heat Transfer ◽  
Power Generation ◽  
Solar Radiation ◽  
Solar Energy ◽  
Energy Generation ◽  
Solar Panel ◽  
Solar Irradiation ◽  
Energy Output ◽  
Critical Parameters ◽  
Solar Panels

Abstract In comparison to fossil fuels, solar energy is a more sustainable option due to its high availability and less environmental impact. Improving the efficiency of solar farms has been a primary concern of solar energy research. Many studies focus on the control of the tilt angle of solar modules to maximize their solar radiation reception and energy generation. However, an increase in solar radiation is accompanied by an increase in module temperature, which is known to be a significant parameter that reduces the power generation efficiency. Wind is another influential factor that helps Photovoltaic systems maintain a low operating temperature by enhancing the rate of heat transfer. Therefore, solar radiation and wind behavior are both critical parameters that must be considered to optimize solar panel performance. In this paper, the effect of wind conditions on solar panel performance will be examined. The solar panel energy output model will be built by empirically considering the irradiation, ambient temperature, wind speed, and wind direction. The published weather data and energy output data for the year 2017–2018 have been collected from Antelope Valley Solar Ranch, located in Lancaster, California. Four models have been proposed and the results indicate that the model which incorporates the wind conditions has the highest accuracy in approximating the energy production of solar farms. Among the factors that affect the temperature of solar panels and further the efficiency of solar panels including solar irradiation, convection, conduction, wind plays a major role in convective heat transfer. Based on this model, the potential improvement of energy generation via introducing a horizontal installation angle and adjusting this angle monthly according to the wind conditions is further analyzed. These results will help designers improve the design of solar farms by taking into consideration the local weather conditions.

scholarly journals Solar Panels as Tip Masses in Low Frequency Vibration Harvesters

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3815 ◽  
Author(s):  
Wang ◽  
Nabawy ◽  
Cioncolini ◽  
Revell
Keyword(s):  
Power Generation ◽  
Solar Panel ◽  
Experimental Results ◽  
Mass Ratio ◽  
Solar Panels ◽  
Energy Harvesters ◽  
Total Length ◽  
Panel Model ◽  
Piezoelectric Energy ◽  
Tip Mass

Tip masses are used in cantilevered piezoelectric energy harvesters to shift device resonance towards the required frequency for harvesting and to improve the electric power generation. Tip masses are typically in the form of concentrated passive weights. The aim of this study is to assess the inclusion of solar panels as active tip masses on the dynamics and power generation performance of cantilevered PVDF (polyvinylidene fluoride)-based vibration energy harvesters. Four different harvester geometries with and without solar panels are realized using off-the-shelf components. Our experimental results show that the flexible solar panels considered in this study are capable of reducing resonance frequency by up to 14% and increasing the PVDF power generated by up to 54%. Two analytical models are developed to investigate this concept; employing both an equivalent concentrated tip mass to represent the case of flexible solar panels and a distributed tip mass to represent rigid panels. Good prediction agreement with experimental results is achieved with an average error in peak power of less than 5% for the cases considered. The models are also used to identify optimum tip mass configurations. For the flexible solar panel model, it is found that the highest PVDF power output is produced when the length of solar panels is two thirds of the total length. On the other hand, results from the rigid solar panel model show that the optimum length of solar panels increases with the relative tip mass ratio, approaching an asymptotic value of half of the total length as the relative tip mass ratio increases significantly.

scholarly journals Evaluation of Photovoltaic Power Generation by using Deep Learning in Solar Panels Installed in Buildings

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3564 ◽  
Author(s):  
Wei
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Deep Learning ◽  
Power Output ◽  
Solar Panel ◽  
Second Phase ◽  
Solar Panels ◽  
Generation Efficiency ◽  
Southern Taiwan ◽  
Pv Power Generation

Southern Taiwan has excellent solar energy resources that remain largely unused. This study incorporated a measure that aids in providing simple and effective power generation efficiency assessments of solar panel brands in the planning stage of installing these panels on roofs. The proposed methodology can be applied to evaluate photovoltaic (PV) power generation panels installed on building rooftops in Southern Taiwan. In the first phase, this study selected panels of the BP3 series, including BP350, BP365, BP380, and BP3125, to assess their PV output efficiency. BP Solar is a manufacturer and installer of photovoltaic solar cells. This study first derived ideal PV power generation and then determined the suitable tilt angle for the PV panels leading to direct sunlight that could be acquired to increase power output by panels installed on building rooftops. The potential annual power outputs for these solar panels were calculated. Climate data of 2016 were used to estimate the annual solar power output of the BP3 series per unit area. The results indicated that BP380 was the most efficient model for power generation (183.5 KWh/m2-y), followed by BP3125 (182.2 KWh/m2-y); by contrast, BP350 was the least efficient (164.2 KWh/m2-y). In the second phase, to simulate meteorological uncertainty during hourly PV power generation, a surface solar radiation prediction model was developed. This study used a deep learning–based deep neural network (DNN) for predicting hourly irradiation. The simulation results of the DNN were compared with those of a backpropagation neural network (BPN) and a linear regression (LR) model. In the final phase, the panel of module BP3125 was used as an example and demonstrated the hourly PV power output prediction at different lead times on a solar panel. The results demonstrated that the proposed method is useful for evaluating the power generation efficiency of the solar panels.

scholarly journals An Investigation on the Inconsistency of Consumer Preferences for Product Appearance: A Case Study of Residential Solar Panels

2014 ◽  
Author(s):  
Qifang Bao ◽  
Sami El Ferik ◽  
Mian Mobeen Shaukat ◽  
Maria C. Yang
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Consumer Products ◽  
Solar Panel ◽  
The Other ◽  
User Needs ◽  
Significant Shift ◽  
Solar Panels ◽  
Product Appearance

The importance of the appearance of consumer products is widely understood. This paper considers an evaluation of the appearance of a technology-oriented product, the residential solar panel, from the perspective of individuals. This study uses a quantitative approach, visual conjoint analysis, to determine preferences for product appearance of solar panels, and further explores how presenting a solar panel in its context of use can influence the consistency of consumer preferences. Approximately 200 survey respondents were shown two kinds of images of solar panels, one of a standalone panel and the other of a panel installed on a roof. Results show a significant shift of preferences when first showing the non-contextualized image and then showing the contextualized image. Such preference inconsistency provides insights with which to inform the process of user-needs revealing.

scholarly journals Prototype Pengontrolan Titik Fokus Panel Surya Terhadap Energi Matahari Secara Otomatis Pada STMIK Amik Riau

2018 ◽  
Vol 3 (1) ◽  
pp. 73
Author(s):  
Rometdo Muzawi ◽  
Ahmad Fauzan ◽  
Lusiana Lusiana
Keyword(s):  
Solar Energy ◽  
Temperature Sensor ◽  
Focal Point ◽  
Electrical Energy ◽  
Control Device ◽  
Solar Panel ◽  
The Sun ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Power Point

A solar panel is a device that can convert solar energy into electricity. The use of solar energy sources can be utilized as street lighting and garden lights. Today many use of solar panels mounted in static (silent) positions in one direction at one focal point will not get the maximum power point of the sun and sunlight received by the solar panel slightly so that it is inefficient at the time of charging the battery.The amount of solar energy that can be absorbed depends on the absorption of sunlight. Absorption can be optimized by making solar panels can continue to face the sun. This system uses ATMEGA8535 microcontroller with one temperature sensor to detect high solar thermal temperature received by solar panels and four photodiode sensors as a detection of light reflection received. These sensors can be able to provide a dynamic solar panels that are automatic and optimal in absorbing sunlight. With the absence of the use of solar panels as the lighting of the garden lights in Stmik Amik Riau and still using electrical energy from PLN, the purpose of this study is to build a solar panel control device that is able to follow the movement of the direction of the arrival of sunlight so it will be optimal in absorbing sunlight.Keywords: Solar Panel, microcontroller, Temperature Sensor, Photodiode Sensor

scholarly journals PROTOTYPE PENGONTROLAN TITIK FOKUS PANEL SURYA TERHADAP ENERGI MATAHARI SECARA OTOMATIS PADA STMIK Amik Riau

2018 ◽  
Vol 8 (1) ◽  
pp. 117
Author(s):  
Rometdo - Muzawi ◽  
Ahmad - Fauzan ◽  
Lusiana - Lusiana
Keyword(s):  
Solar Energy ◽  
Temperature Sensor ◽  
Focal Point ◽  
Electrical Energy ◽  
Control Device ◽  
Solar Panel ◽  
The Sun ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Power Point

A solar panel is a device that can convert solar energy into electricity. The use of solar energy sources can be utilized as street lighting and garden lights. Today many use of solar panels mounted in static (silent) positions in one direction at one focal point will not get the maximum power point of the sun and sunlight received by the solar panel slightly so that it is inefficient at the time of charging the battery.The amount of solar energy that can be absorbed depends on the absorption of sunlight. Absorption can be optimized by making solar panels can continue to face the sun. This system uses ATMEGA8535 microcontroller with one temperature sensor to detect high solar thermal temperature received by solar panels and four photodiode sensors as a detection of light reflection received. These sensors can be able to provide a dynamic solar panels that are automatic and optimal in absorbing sunlight. With the absence of the use of solar panels as the lighting of the garden lights in Stmik Amik Riau and still using electrical energy from PLN, the purpose of this study is to build a solar panel control device that is able to follow the movement of the direction of the arrival of sunlight so it will be optimal in absorbing sunlight.Keywords - Solar Panel, microcontroller, Temperature Sensor, Photodiode Sensor.

Optimization of photovoltaic power generation using a Measurement and Management Technology (MMT) platform

2010 ◽  
Vol 2010 (1) ◽  
pp. 000760-000765 ◽  
Author(s):  
Levente J. Klein ◽  
Sergio Bermudez Rodrigues ◽  
Satya Nitta ◽  
Robert Sandstrom ◽  
Supratik Guha ◽  
...  
Keyword(s):  
Power Generation ◽  
Real Time ◽  
Temporal Trends ◽  
System Optimization ◽  
Operating Conditions ◽  
Solar Panel ◽  
Physical Models ◽  
System Level ◽  
Solar Panels ◽  
Management Platform

In this article we describe preliminary results for a general data acquisition and management platform applied to system level solar farm energy optimization. The system optimization takes into account weather, solar radiance, sky cloud coverage, and solar panel characteristics. Despite continuous improvement in photovoltaic (PV) systems, the generated power of many installations is underperforming due to factors like: light obstruction, orientation and tilt of the solar panels, variation in manufacturing and installation process and debris or soiling on the solar panels. To overcome the above challenges, we leverage the capabilities of an energy management analytic platform to monitor in real time the power generation from solar panels under real operating conditions. The generated power of the solar panel is correlated with predictive weather models where the influence of sky coverage, temperature and opacity of air are integrated in physical models to predict the solar panel performance. Furthermore, it is recognized that in large scale photovoltaics system the generated power is dependent on the performance of individual cells and solar panels. Analyzing spatial and temporal trends of individual solar panels and combining it with real time power performance enable an increased visibility in the PV system performance and optimization through power management of the individual solar panel.

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