scholarly journals Design and Implementation of Solar Power Controller for Real-time Utilization of Solar Energy with Reduced Transmission Line Loss

2018 ◽  
Vol 182 (21) ◽  
pp. 8-12
Author(s):  
Md. Tanvir ◽  
Md. Tariquzzaman ◽  
Md. Mehedi
Keyword(s):  
Solar Energy ◽  
Transmission Line ◽  
Real Time ◽  
Solar Power ◽  
Power Controller ◽  
Design And Implementation ◽  
Time Utilization ◽  
Line Loss

Design and implementation of real-time ETL based on ESB

2008 ◽  
Vol 28 (4) ◽  
pp. 860-862 ◽  
Author(s):  
Bin GAO
Keyword(s):  
Real Time ◽  
Design And Implementation

Design and Implementation of Low Bit-rate Real-time Video Encoder Based on DSP

2011 ◽  
Vol 30 (4) ◽  
pp. 945-948
Author(s):  
Shao-hua Liu ◽  
Zhi-hui Xiong ◽  
Wei-dong Bao ◽  
Mao-jun Zhang
Keyword(s):  
Real Time ◽  
Bit Rate ◽  
Video Encoder ◽  
Low Bit Rate ◽  
Design And Implementation

scholarly journals Design and simulation of a 1-GWp solar photovoltaic power station in Sudan

Clean Energy ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 57-78
Author(s):  
Sohaib Nasr Mohamed Abdalla ◽  
Hakan Özcan
Keyword(s):  
Solar Energy ◽  
Net Present Value ◽  
Solar Power ◽  
Northern Region ◽  
Solar Photovoltaic ◽  
Power Station ◽  
Levelized Cost Of Electricity ◽  
Solar Plant ◽  
Performance Rate ◽  
The City

Abstract Developing nations have a critical need to increase electricity supply. Sudan has much unrealized potential for generating solar energy, particularly in the northern region. This research study focuses on designing a 1-GW solar power station in northern Sudan using the PVsyst7.0 software program. To determine the appropriate location for the solar-energy station, 14 criteria were evaluated. This process is generic and suitable for use in any other country. The method for conducting cash-flow estimates and return on investment is illustrated in the economic evaluation. The city of Dongola, the capital of the northern state, was selected because of its high annual irradiance on a horizontal surface at ~2333.2 kWh/m2. The simulation results show that the annual optimum tilt angle of inclination for photovoltaic (PV) modules is 30°, the energy production is 1 979 259 MWh/yr and the average annual performance rate is 0.810. In addition, the electric power consumption per capita in Sudan is 269 kWh/yr, so the proposed solar power plant with 1 979 259 MWh/yr can provide energy to 7.4 million people per year annually and reduce carbon emissions by ~18 million tons of carbon dioxide per year. Economic calculations show that the levelized cost of electricity (LCOE) is $0.06/kWh, the discounted payback period is ~11 years and the net present value is $635 291 000. As a result, the proposed grid-connected PV solar plant is considered economically, technically and environmentally feasible in Sudan.

scholarly journals Weather-Driven Scenario Analysis for Decommissioning Coal Power Plants in High PV Penetration Grids

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2389
Author(s):  
Samuel Matthew G. Dumlao ◽  
Keiichi N. Ishihara
Keyword(s):  
Solar Energy ◽  
Scenario Analysis ◽  
Power Plants ◽  
Solar Power ◽  
Flow Analysis ◽  
Policy Decision ◽  
Hourly Temperature ◽  
Coal Power Plants ◽  
Coal Power ◽  
Pv Penetration

Despite coal being one of the major contributors of CO2, it remains a cheap and stable source of electricity. However, several countries have turned to solar energy in their goal to “green” their energy generation. Solar energy has the potential to displace coal with support from natural gas. In this study, an hourly power flow analysis was conducted to understand the potential, limitations, and implications of using solar energy as a driver for decommissioning coal power plants. To ensure the results’ robustness, the study presents a straightforward weather-driven scenario analysis that utilizes historical weather and electricity demand to generate representative scenarios. This approach was tested in Japan’s southernmost region, since it represents a regional grid with high PV penetration and a fleet of coal plants older than 40 years. The results revealed that solar power could decommission 3.5 GW of the 7 GW coal capacity in Kyushu. It was discovered that beyond 12 GW, solar power could not reduce the minimum coal capacity, but it could still reduce coal generation. By increasing the solar capacity from 10 GW to 20 GW and the LNG quota from 10 TWh to 28 TWh, solar and LNG electricty generation could reduce the emissions by 37%, but the cost will increase by 5.6%. Results also show various ways to reduce emissions, making the balance between cost and CO2 a policy decision. The results emphasized that investing in solar power alone will not be enough, and another source of energy is necessary, especially for summer and winter. The weather-driven approach highlighted the importance of weather in the analysis, as it affected the results to varying degrees. The approach, with minor changes, could easily be replicated in other nations or regions provided that historical hourly temperature, irradiance, and demand data are available.

Resilience-Oriented Transmission Line Fragility Modeling and Real-time Risk Assessment of Thunderstorms

2021 ◽  
pp. 1-1
Author(s):  
Jie Bao ◽  
Xin Wang ◽  
Yihui Zheng ◽  
Feng Zhang ◽  
Xuyong Huang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Transmission Line ◽  
Real Time

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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