scholarly journals Fuel Reduction Effect of the Solar Cell and Diesel Engine Hybrid System with a Prediction Algorithm of Solar Power Generation

2008 ◽  
Vol 2 (4) ◽  
pp. 1166-1177 ◽  
Author(s):  
Shin'ya OBARA ◽  
Itaru TANNO
Keyword(s):  
Power Generation ◽  
Solar Cell ◽  
Diesel Engine ◽  
Hybrid System ◽  
Solar Power ◽  
Prediction Algorithm ◽  
Fuel Reduction ◽  
Solar Power Generation ◽  
Reduction Effect

Fuel Reduction Effect of the Solar Cell and Diesel Engine Hybrid System with a Prediction Algorithm of Solar Power Generation

2011 ◽  
pp. 815-839
Author(s):  
Shin’ya Obara
Keyword(s):  
Solar Cell ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Hybrid System ◽  
Green Energy ◽  
Energy Utilization ◽  
Electricity Production ◽  
Weather Data ◽  
Prediction Algorithm ◽  
Reduction Effect

Green energy utilization technology is an effective means of reducing greenhouse gas emissions. We developed the production-of-electricity prediction algorithm (PAS) of the solar cell. In this algorithm, a layered neural network is made to learn based on past weather data and the operation plan of the hybrid system (proposed system) of a solar cell and a diesel engine generator was examined using this prediction algorithm. In addition, system operation without a electricity-storage facility, and the system with the engine generator operating at 25% or less of battery residual quantity was investigated, and the fuel consumption of each system was measured. Numerical simulation showed that the fuel consumption of the proposed system was modest compared with other operating methods. However, there was a significant difference in the prediction error of the electricity production of the solar cell and the actual value, and the proposed system was shown to be not always superior to others. Moreover, although there are errors in the predicted and actual values using PAS, there is no significant influence in the operation plan of the proposed system in almost all cases.

Fuel Reduction Effect of the Solar Cell and Diesel Engine Hybrid System with a Prediction Algorithm of Solar Power Generation

2010 ◽  
pp. 242-271
Author(s):  
Shin’ya Obara
Keyword(s):  
Solar Cell ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Hybrid System ◽  
Green Energy ◽  
Energy Utilization ◽  
Electricity Production ◽  
Weather Data ◽  
Prediction Algorithm ◽  
Reduction Effect

Green energy utilization technology is an effective means of reducing greenhouse gas emissions. We developed the production-of-electricity prediction algorithm (PAS) of the solar cell. In this algorithm, a layered neural network is made to learn based on past weather data and the operation plan of the hybrid system (proposed system) of a solar cell and a diesel engine generator was examined using this prediction algorithm. In addition, system operation without a electricity-storage facility, and the system with the engine generator operating at 25% or less of battery residual quantity was investigated, and the fuel consumption of each system was measured. Numerical simulation showed that the fuel consumption of the proposed system was modest compared with other operating methods. However, there was a significant difference in the prediction error of the electricity production of the solar cell and the actual value, and the proposed system was shown to be not always superior to others. Moreover, although there are errors in the predicted and actual values using PAS, there is no significant influence in the operation plan of the proposed system in almost all cases.

scholarly journals EFFECT OF TEMPERATURE, HUMIDITY AND IRRADIANCE ON SOLAR POWER GENERATION

2021 ◽  
Vol 26 (4) ◽  
pp. 113-119
Author(s):  
FRANK ONAIFO ◽  
AKPOFURE ALEXANDER OKANDEJI ◽  
OLAMIDE AJETUNMOBI ◽  
DAVID BALOGUN
Keyword(s):  
Power Generation ◽  
Solar Cells ◽  
Solar Cell ◽  
Solar Radiation ◽  
Solar Irradiance ◽  
Solar Power ◽  
Corrosion Process ◽  
Effect Of Temperature ◽  
Photovoltaic Solar Cell ◽  
Solar Power Generation

This paper studies the effect of temperature, humidity and irradiance on the power generated by a photovoltaic solar cell. This was achieved using pyranometer for determining the solar radiation, wet and dry thermometer for measuring humidity, and digital multimeter for voltage and current measurement. The result of the study show that power generation increases with increase of solar irradiance. Additionally, changes of humidity level and temperature do not significantly affect solar power generation. Furthermore, it was also observed that high temperatures and higher humidity levels accelerate the corrosion process on the solar cells which reduces the efficiency of the cells.

scholarly journals New Curved Reflectors for Significantly Enhanced Solar Power Generation in Four Seasons

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4602 ◽  
Author(s):  
Choi ◽  
Choi ◽  
Kim ◽  
Ryu ◽  
Rim ◽  
...  
Keyword(s):  
Power Generation ◽  
Solar Cell ◽  
Optimum Design ◽  
Solar Power ◽  
Design Rule ◽  
Spatial Average ◽  
Solar Power Generation ◽  
Plane Type ◽  
Four Seasons ◽  
Best Fit

A new curved-type reflector for solar power generation is proposed. By adopting the curved-type reflector between consecutive solar panel arrays, all incoming sunlight can be utilized and thus, the generated power is significantly increased. Furthermore, the proposed curved-type reflector can be generally used in four seasons regardless of the altitude or angle of the installation environment. The optimum design rule for the curved-reflector, comparing to a plane-type reflector, is completely developed in this paper. A new solar cell configuration best fit for the proposed curved-reflector is also provided. Experimental results showed that the curved-type reflector improves the spatial average solar power by 61% compared to no reflector case, which is even 11% higher than the plane-type reflector. Reflectors, especially curved-type reflectors, are found to be one of promising solutions for highly efficient solar power generation.

scholarly journals Analysis of correlation of climate factors affecting solar power generation

2018 ◽  
Vol 7 (3.3) ◽  
pp. 354
Author(s):  
Bok Jong Yoo ◽  
Chan Bae Park ◽  
Ju Lee
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Solar Radiation ◽  
Solar Power ◽  
Meteorological Data ◽  
Prediction Algorithm ◽  
Accurate Estimation ◽  
High Positive Correlation ◽  
Solar Power Generation ◽  
Positive Correlation Coefficient

Background/Objectives: In designing the solar power generation, feasibility review and power generation volume prediction during guarantee phase after the completion are very important.Methods/Statistical analysis: The study compares the actual power generation volume obtained from solar power generation monitoring system and estimated volume calculated using overseas meteorological data from Meteonorm 7.1 and NASA-SSE and Korean data from the Korea Meteorological Administration, in order to understand their accuracy. The calculation using KMA data, with the highest prediction value, was used to analyze the correlation among solar radiation, temperature, and solar power generation volume.Findings: Previous solar power generation volume prediction was conducted only with solar radiation value, which caused errors between the actual and predicted solar power generation volume. The study found that the power generation volume and solar radiation have a high positive correlation coefficient of 0.8131 for Songam Power Plant. For correlation between power generation volume and temperature, the coefficient for Songam was 0.2843 and 0.4616 for Jipyeong Power Plant, showing lower influence than that of solar radiation. In sum, solar radiation influences the solar power generation volume more than temperature, but the current study indicates that both solar radiation and temperature must be considered for an accurate prediction of solar power generation volume.Improvements/Applications: Research to develop solar power generation volume prediction algorithm that takes into account both solar radiation and temperature must be conducted to expand the application of solar power generation system with more accurate estimation of power generation volume.  

scholarly journals Artificial inverted compound eye structured polymer films with light-harvesting and self-cleaning functions for encapsulated III–V solar cell applications

RSC Advances ◽  
2015 ◽  
Vol 5 (75) ◽  
pp. 60804-60813 ◽  
Author(s):  
Jung Woo Leem ◽  
Jae Su Yu
Keyword(s):  
Power Generation ◽  
Solar Cells ◽  
Solar Cell ◽  
Polymer Films ◽  
Compound Eye ◽  
Solar Power ◽  
Light Harvesting ◽  
Solar Power Generation ◽  
Self Cleaning

Inverted compound eye structured polydimethylsiloxane (i.e., ICESs PDMS) antireflection layer enhances the solar power generation of encapsulated III–V solar cells.

scholarly journals Minimizing the loses of solar power generation by designing an intelligent tracking system implemented on FPGA

2018 ◽  
Vol 6 (3) ◽  
pp. 169
Author(s):  
Alaa Hamza Omran
Keyword(s):  
Neural Networks ◽  
Power Generation ◽  
Solar Cell ◽  
Solar Power ◽  
Cell Model ◽  
Tracking System ◽  
Electrical Power ◽  
Power Sources ◽  
Solar Power Generation ◽  
Intelligent Tracking

<span style="font-size: 9pt; font-family: 'Times New Roman', serif;">The increasing of using of an electrical power as a power source in a large number of devices can occur a serious problem in our daily life. One of the useful power sources is a solar cell which used to overcome many problems of power generation. In this paper, the solar cell model is proposed to minimize loses of solar power generation by designing of an intelligent tracking system based on FPGA. PSO algorithms are used to train the neural networks to control the speeds and the directions of rotations of two DC motors with the help of FPGA cart. The proposed system was implemented in MATLAB; and for the hardware part, FPGA was used for the implementation of neural networks.</span>

A Prototype of Hybrid Solar Power Generation System

2006 ◽  
Author(s):  
H. H. Huang ◽  
N. W. Yu
Keyword(s):  
Power Generation ◽  
Solar Cell ◽  
Solar Power ◽  
Collection Efficiency ◽  
Design System ◽  
Generation System ◽  
Temperature Controller ◽  
Solar Power Generation ◽  
Operational Temperature ◽  
Power Generation System

The objectives of this research are to design a photovoltaic/thermal hybrid solar power generation system and to develop a prototype. The design factor of consideration is the fan speed which transfers heat from the solar cells to water within storage tanks and controls operational temperature of the solar cell to obtain higher efficiency of power. Therefore the system identification, simulation, and series of tests of the temperature controller are also present in this research to evaluate the performance of the design system. The results show that if operational temperature of the solar cell is set under 50°C, which the temperature error is between ± 0.1°C and we can obtain the highest heat collection efficiency ηth (0.28), the performance of the heat collection system with this well designed temperature controller is better.

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