Comparison Analysis for TES System in Solar-Aided 600 MW Coal-Fired Power Generation System and Solar-Alone Power Generation System

2016 ◽  
Author(s):  
Junjie Wu ◽  
Hongjuan Hou ◽  
Yongping Yang
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Fossil Fuels ◽  
Working Condition ◽  
Main Function ◽  
Generation System ◽  
Negative Effects ◽  
Solar Heat ◽  
Pressure Extraction ◽  
Power Generation System

With the shortage of fossil fuels and its negative effects on the environment, solar energy as one type of renewable energy has attracted increasing attention both socially and politically. There are two approached to use solar energy for generating electricity, i.e., using solar energy to directly to make work or integrating solar energy into fossil-fueled plant. The solar-aided coal-fired power generation (SACPG) mechanism is proven an effective way to use solar energy efficiently. In this paper, SACPG system and solar-alone parabolic trough CSP plant are modelled respectively. A comparison discussion related to TES system between SACPG system and solar-alone CSP plant is presented. The aim is to find what role of TES system will play in these two different systems. Through analysis, the role TES system plays varies in solar-alone power generation system and SACPG system. For solar-alone power generation system, the main function for TES system lies in storing surplus solar heat. Besides, there exists an optimum loop number with highest annual SEE with a specific TES hour. However, TES system for SACPG system not only stores the surplus solar heat, but also adjusts working condition. With the help of TES system, the working condition could be set as the high-pressure extraction steam could be totally replaced by solar heat. By doing so, annual solar power generation and annual SEE could be improved compared with that without TES system.

scholarly journals Improved Optimization Study of Integration Strategies in Solar Aided Coal-Fired Power Generation System

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Rongrong Zhai ◽  
Miaomiao Zhao ◽  
Chao Li ◽  
Pan Peng ◽  
Yongping Yang
Keyword(s):  
Power Generation ◽  
Storage System ◽  
Thermal Storage ◽  
Integrated System ◽  
Generation System ◽  
Optimization Study ◽  
Before And After ◽  
Pressure Extraction ◽  
Power Generation System ◽  
Integration Strategies

Solar aided coal-fired power generation system (SACFPGS) combines solar energy and traditional coal-fired units in a particular way. This study mainly improves the solar thermal storage system. Genetic algorithm is used to optimize the SACFPGS. The best integration approach of the system, the collector area, and the corresponding thermal storage capacity to replace each high-pressure extraction are obtained when the amount of coal saving in unit solar investment per hour is at its largest. System performance before and after the improvement is compared. Results show that the improvement of the thermal storage system effectively increases the economic benefit of the integrated system.

scholarly journals Metaheuristic searching genetic algorithm based reliability assessment of hybrid power generation system

2020 ◽  
pp. 014459872095974
Author(s):  
Ahmed N Abdalla ◽  
Muhammad Shahzad Nazir ◽  
MingXin Jiang ◽  
Athraa Ali Kadhem ◽  
Noor Izzri Abdul Wahab ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Solar Energy ◽  
Computation Time ◽  
Test System ◽  
Optimization Approach ◽  
Generation System ◽  
Power Sources ◽  
Hybrid Power ◽  
Power Generation System

Generating systems are known as adequately reliable when satisfying the load demand. Meanwhile, the efficiency of electrical systems is currently being more influenced by the growing adoption of the Wind/Solar energy in power systems compared to other conventional power sources. This paper proposed a new optimization approach called Metaheuristic Scanning Genetic Algorithm (MSGA) for the evaluation of the efficiency of power generating systems. The MSGA is based on a combination of metaheuristic scanning and Genetic Algorithm. The MSGA technique is used for evaluating the reliability and adequacy of generation systems integrated with wind/Solar energy is developed. The usefulness of the proposed algorithm was tested using Reliability Test System ‘IEEE-RTS-79’ which include both of wind power and solar power generation. The result approve the effectiveness of the proposed algorithm in improving the computation time by 85% and 2% in comparison with the particle swarm optimization (PSO) and differential evolution optimization algorithm (DEOA) respectively. In addition, the proposed model can be used to test the power capacity forecasting scheme of the hybrid power generation system with the wind, solar and storage.

Hybrid power generation system of solar energy and fuel cells

2016 ◽  
Vol 40 (6) ◽  
pp. 717-725 ◽  
Author(s):  
Yuzheng Lu ◽  
Bin Zhu ◽  
Jun Wang ◽  
Yaoming Zhang ◽  
Junjiao Li
Keyword(s):  
Power Generation ◽  
Fuel Cells ◽  
Solar Energy ◽  
Generation System ◽  
Hybrid Power ◽  
Power Generation System

scholarly journals RER Based Hybrid Technology for power Generation System: Pollution Free from GHG

2018 ◽  
Vol 10 (02) ◽  
pp. 81-86
Author(s):  
Santosh Kumar Suman ◽  
Aishvarya Narain ◽  
Swati Maurya
Keyword(s):  
Power Generation ◽  
Electricity Generation ◽  
Fossil Fuels ◽  
Solar Panels ◽  
Generation System ◽  
Hybrid Technology ◽  
Technology System ◽  
Wind Generators ◽  
The World ◽  
Power Generation System

This paper is presented to observe the conversion of renewable strength resources (RER) into electric power in a standalone hybrid electricity generation system. Recent electricity generation scenarios all over the world are not eco-friendly because the generation systems are by and large depending on fossil fuels that produce greenhouse gasoline (GHG) which contributes to worldwide warming. In this, the aggregate of two electricity resources is taking location i.e. Wind and solar energy. Solar panels are used for converting solar power and wind generators are used for converting wind power into strength. This electrical electricity era can function for numerous purposes. Generation of strength will take place at an affordable cost. This paper provides the Renewable Energy Based Hybrid Technology for Power technology that extracts the renewable energies in Sun and Wind to generate power. System manage relies particularly at the microcontroller. It ensures the optimal utilization of assets and consequently improves the efficiency as related to their person mode of the technology system. Also, it will increase the reliability and decreases the dependence on one unmarried source. This hybrid solarwind energy generating machine is appropriate for industries and additionally for home areas with reasonable price without unfavorable the natural stability like Pollution Free from GHG.

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