scholarly journals USING ARTIFICIAL INTELLIGENCE TO ASSESS SOLAR RADIATION FROM THE TOTAL SKY IMAGES

2020 ◽  
Vol 7 (5) ◽  
pp. 64-71
Author(s):  
Chi-Chang Chen ◽  
Chien-Hsing Huang
Keyword(s):  
Power Generation ◽  
Solar Radiation ◽  
Real Time ◽  
Solar Power ◽  
Radiant Energy ◽  
Weather Forecast ◽  
Weather Conditions ◽  
Green Energy ◽  
Large Area ◽  
Solar Power Generation

Solar power generation converts solar radiation into electrical energy. It is the most environmentally friendly green energy source in modern times, but the solar radiation reception rate is unstable due to weather. The general weather forecast is for the climate of a large area and cannot provide effective real-time prediction to the area where the power plant generating radiant energy from solar radiation. The sky imager can collect the sky image of the location of the solar power panel in real time, which can help to understand the weather conditions in real time, especially the dynamics of the clouds, which is the main reason for affecting the solar power generation. In this study, the optical flow method was used to analyze the motion vectors of clouds in the sky image, thereby estimating the changes of clouds in a short time, and the correlation between the distribution of clouds in the sky and the radiation of the whole sky images was analyzed through a neural network. The change further predicts the change in radiation across the sky, thereby effectively assessing the efficiency of solar power generation.

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 Performance and Economic Evaluation of Solar Rooftop Systems in Different Regions of Thailand

2019 ◽  
Vol 11 (23) ◽  
pp. 6647 ◽  
Author(s):  
Suntiti Yoomak ◽  
Theerasak Patcharoen ◽  
Atthapol Ngaopitakkul
Keyword(s):  
Power Generation ◽  
Economic Evaluation ◽  
Solar Radiation ◽  
Large Scale ◽  
Net Present Value ◽  
Solar Power ◽  
Electrical Energy ◽  
Solar Panels ◽  
Solar Power Generation ◽  
Generation Capacity

Solar rooftop systems in the residential sector have been rapidly increased in the term of installed capacity. There are various factors, such as climate, temperature, and solar radiation, that have effects on solar power generation efficiency. This paper presents a performance assessment of a solar system installed on the rooftop of residence in different regions of Thailand by using PSIM simulation. Solar rooftop installation comparison in different regions is carried out to evaluate the suitable location. In addition, three types of solar panels are used in research: monocrystalline, polycrystalline, and thin-film. The electrical parameters of real power and energy generated from the systems are investigated and analyzed. Furthermore, the economic evaluation of different solar rooftop system sizes using the monocrystalline module is investigated by using economic indicators of discounted payback period (DPP), net present value (NPV), internal rate of return (IRR), and profitability index (PI). Results show that the central region of Thailand is a suitable place for installing solar rooftop in terms of solar radiation, and the temperature has more solar power generation capacity than the other regions. The monocrystalline and polycrystalline solar panels can generate maximum power close to each other. All solar rooftop sizes with the Feed-in Tariff (FiT) scheme give the same DPP of 6.1 years, IRR of 15%, and PI of 2.57 which are better than the cases without the FiT scheme. However, a large-scale installation of solar rooftop systems can receive more electrical energy produced from the solar rooftop systems. As a result, the larger solar rooftop system sizes can achieve better economic satisfaction.

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.  

Daily prediction of solar power generation based on weather forecast information in Korea

2017 ◽  
Vol 11 (10) ◽  
pp. 1268-1273 ◽  
Author(s):  
Jae‐Gon Kim ◽  
Dong‐Hyuk Kim ◽  
Woo‐Sik Yoo ◽  
Joung‐Yun Lee ◽  
Yong Bae Kim
Keyword(s):  
Power Generation ◽  
Solar Power ◽  
Weather Forecast ◽  
Solar Power Generation

scholarly journals Short Survey of Architectures of Photovoltaic Arrays for Solar Power Generation Systems

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4917
Author(s):  
Alexander Abramovitz ◽  
Doron Shmilovitz
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Capital Investment ◽  
Solar Power ◽  
Energy Generation ◽  
Green Energy ◽  
Solar Power Generation ◽  
Photovoltaic Arrays ◽  
Short Survey ◽  
Power Generation Systems

Since the industrial revolution, the world’s economy has mainly relied on the consumption of fossil fuels. The burning of coal releases vast amounts of toxic COx greenhouse gasses into the atmosphere that bear an undesirable environmental impact. The ongoing offshore oil exploration activities; the infrastructure for oil extraction, production, and transportation; and the inevitable oil spills cause severe damage to the environment and huge loss of sea life, flora, and fauna. Recent awareness of the environmental issues and the worldwide climate change spurred public interest in clean and environmentally friendly “green” energy generation. Solar energy is an abundant and inexhaustible resource that can meet much of the worlds’ energy needs and, thus, has been in the focus of scientific attention for many years. Yet, converting solar energy into usable electric power is a formidable engineering and economical challenge. The recent environmental awareness triggered governments and private companies around the world to encourage further research and capital investment into the development and deployment of efficient and cost-effective solar technologies. This review reports on advances in the technological approaches that can be employed to convert sunlight to electricity. This article presents a short survey of the state-of-the-art architectures of photovoltaic arrays and a review of the concepts and strategies of their associated electronic power processors for solar energy generation. The paper aims to be of assistance to engineers and scientists who are already engaged or just joining this fascinating field, to promote the knowledge of photovoltaic energy and facilitate the proliferation of the solar power generation systems.

Potential of Roof Top Solar Power Generation in India

2016 ◽  
Vol 8 (02) ◽  
pp. 139-146
Author(s):  
Bharat Raj Singh ◽  
Onkar Singh ◽  
Raghuvir Kumar ◽  
Dharmendra Singh
Keyword(s):  
Power Generation ◽  
Alternative Energy ◽  
Solar Power ◽  
Thermal Power ◽  
Renewable Resource ◽  
Green Energy ◽  
Environmental Damage ◽  
Energy Potential ◽  
Solar Power Generation ◽  
Installed Capacity

World's about 80% of the energy consumption is sustained by the extraction of fossil fuels, which consists of oil, coal and gas. Another non-renewable resource that is exploited by humans is subsoil minerals such as precious metals that are mainly used in the production of industrial commodities. It is only because of the increasing population and subsequent growth of materialistic attitude in human's behavior that has lead our planet to an exhaustible measure and subsequent release of harmful carbon particulate from the vehicles’ exhaust pipes also cannot be overlooked as it contains many harmful Green House Gases like: Carbon-dioxide, Carbon-monoxide, Methane etc. emerging out of Thermal Power Houses and Industries. This is also causing environmental damage and changes in the and atmosphere around earth's surface. Unfortunately, our future generation may face awful challenges for their survival due to these changes. Although, scientists and environmentalists, are seriously focusing to research an alternative energy to be helpful for the development of society and curbing the challenging climatic conditions. India being a geographically very rich pasture and has more than 10 months sun-shine (i.e. 300 days against 365 days) in a year. Thus, Solar Energy can be a better alternative in India to be exploited as a major source of Electric Power Deficit. Currently in India, Installed capacity of Power is 302087.87 MW and Generation is 104867.30 MW against Peak demand of 148166 MW (a deficit of around 45,000MW). As an experiment in Lucknow, if an average house-hold installs 2 kWh Roof Top Solar Power Generation, it will help to generate around 2-2.50 million units (2,000-2,500MW) in a year by approx. 10 lacks existing houses in Lucknow and light additionally more than 100-150 villages with current installed capacity of power generation under Solar Green Energy Potential and without damaging Environment. Thus, Solar Roof Top Power Generation can create almost surplus power in India by the year 2020 even if 50% of houses of countrymen decide to place Solar Roof Top Panels in their houses under major awareness programme.

Solar Power Generation Forecasting based on LSTM considering Weather Conditions

2020 ◽  
Vol 30 (1) ◽  
pp. 7-12
Author(s):  
Baekcheon Kim ◽  
Seunghwan Jung ◽  
Minseok Kim ◽  
Jonggeun Kim ◽  
Hansoo Lee ◽  
...  
Keyword(s):  
Power Generation ◽  
Solar Power ◽  
Weather Conditions ◽  
Solar Power Generation

scholarly journals Comparison of Solar Radiation Torque and Power Generation of Deployable Solar Panel Configurations on Nanosatellites

Aerospace ◽  
2019 ◽  
Vol 6 (5) ◽  
pp. 50 ◽  
Author(s):  
Syahrim Azhan Ibrahim ◽  
Eiki Yamaguchi
Keyword(s):  
Power Generation ◽  
Solar Radiation ◽  
Solar Power ◽  
Solar Panel ◽  
Solar Array ◽  
The Sun ◽  
Solar Panels ◽  
Solar Power Generation ◽  
Software Algorithms ◽  
Selection Of

Nanosatellites, like CubeSat, have begun completing advanced missions that require high power that can be obtained using deployable solar panels. However, a larger solar array area facing the Sun increases the solar radiation torque on the satellite. In this study, we investigated solar radiation torque characteristics resulting from the increased area of solar panels on board the CubeSats. Three common deployable solar panel configurations that are commercially available were introduced and their reference missions were established for the purpose of comparison. The software algorithms used to simulate a variety of orbit scenarios are described in detail and some concerns are highlighted based on the results obtained. The solar power generation of the respective configurations is provided. The findings are useful for nanosatellite developers in predicting the characteristics of solar radiation torques and solar power generation that will be encountered when using various deployable solar panels, thus helping with the selection of a suitable configuration for their design.

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