The determination of maximum capacities of solar power plants in IPS of Ukraine

2016 ◽  
Vol 2016 (2) ◽  
pp. 34-42
Author(s):  
I.V. Dremin ◽  
Keyword(s):  
Power Plants ◽  
Solar Power ◽  
Solar Power Plants

scholarly journals Determination of Suitable Sites for Establishment of Large-Scale Concentrated Solar Power Plants in Kenya

2017 ◽  
Vol 08 (01) ◽  
pp. 1-23
Author(s):  
Joan Njeri Gathu ◽  
Patroba Achola Odera ◽  
Edward Hunja Waithaka
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Solar Power ◽  
Concentrated Solar Power ◽  
Solar Power Plants ◽  
Concentrated Solar Power Plants

scholarly journals Design of solar power plants with hybrid systems

2021 ◽  
Vol 1125 (1) ◽  
pp. 012074
Author(s):  
J Koko ◽  
A Riza ◽  
U K Mohamad Khadik
Keyword(s):  
Hybrid Systems ◽  
Power Plants ◽  
Solar Power ◽  
Solar Power Plants

scholarly journals Perspective on integration of concentrated solar power plants

2021 ◽  
Author(s):  
Bashria A A Yousef ◽  
Ahmed A Hachicha ◽  
Ivette Rodriguez ◽  
Mohammad Ali Abdelkareem ◽  
Abrar Inyaat
Keyword(s):  
Power Plants ◽  
Solar Power ◽  
Electrical Power ◽  
High Capacity ◽  
Solid Particles ◽  
Concentrated Solar Power ◽  
Power Fluctuation ◽  
Energy Technologies ◽  
Production Of Hydrogen ◽  
Solar Power Plants

Abstract Integration concept of energy resources can complement between the competing energy technologies. This manuscript presents a comprehensive review on the state-of-the-art of concentrated solar power (CSP) integration technology with various energy sources. Compared to CSP alone, integration of CSP and fossil fuel provides promising solution to solar energy intermittence, emissions and installation cost reduction, with 25% increase in electric power generation. On the other hand, integration of CSP with other sources such as geothermal and biomass can supply dispatchable power with almost zero emissions. The electricity produced via integrated CSP and photovoltaic (PV) has better power quality and less cost compared to that produced by PV alone or CSP alone, respectively. Integration of CSP and wind energy can meet peak demand, reduce power fluctuation and provide electrical power at a high capacity factor. However, the lack of reliable biomass, geothermal and wind data with the solar availability at specific locations is the main obstacle for the acceptance and further deployment of hybridization systems. The advantages and limitations of the hybrid technologies presented in this paper according to the literature are reviewed. Moreover, future directions of CSP such as production of hydrogen, solid particles receivers and the integration of supercritical carbon dioxide cycle are also discussed.

scholarly journals The effect of concentrated solar power plants on the socio-economic and livelihood assets of the local community and environment

2020 ◽  
Author(s):  
Mounia Karim ◽  
Heather Almond ◽  
Chris Sansom ◽  
Nazmiye Balta-Ozkan ◽  
Pegah Mirzania ◽  
...  
Keyword(s):  
Power Plants ◽  
Local Community ◽  
Solar Power ◽  
Concentrated Solar Power ◽  
Livelihood Assets ◽  
Solar Power Plants ◽  
Concentrated Solar Power Plants

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.

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