Effect of the Environmental Conditions of Tropical Climates on the Performance Parameters of a Gas Turbine Power Generation Plant

2021 ◽  
Author(s):  
Juan Fajardo ◽  
Deibys Barreto ◽  
Triana Castro ◽  
Ildefonso Baldiris
Keyword(s):  
Power Generation ◽  
Gas Turbine ◽  
Environmental Conditions ◽  
Performance Parameters ◽  
Generation Plant ◽  
Power Generation Plant ◽  
Tropical Climates

Simulated performance analysis of a solar aided power generation plant in fuel saving operation mode

Energy ◽  
2019 ◽  
Vol 166 ◽  
pp. 918-928 ◽  
Author(s):  
Nan Zhang ◽  
Hongjuan Hou ◽  
Gang Yu ◽  
Eric Hu ◽  
Liqiang Duan ◽  
...  
Keyword(s):  
Power Generation ◽  
Performance Analysis ◽  
Operation Mode ◽  
Fuel Saving ◽  
Simulated Performance ◽  
Generation Plant ◽  
Power Generation Plant

scholarly journals Intelligent Airflow Controls for a Stalling-Free Operation of an Oscillating Water Column-Based Wave Power Generation Plant

Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 70 ◽  
Author(s):  
Fares M’zoughi ◽  
Izaskun Garrido ◽  
Soufiene Bouallègue ◽  
Mounir Ayadi ◽  
Aitor J. Garrido
Keyword(s):  
Power Generation ◽  
Intelligent Control ◽  
Irregular Waves ◽  
Superior Performance ◽  
Wave Power ◽  
Wells Turbine ◽  
Control Engineering ◽  
Generation Plant ◽  
Power Generation Plant ◽  
Intelligent Pid

Control engineering in renewable energy systems is a delicate and tedious task, especially due to the unpredictable nature of the renewable resources, which requires precision and robustness. These requirements can be ensured using intelligent control, which provides better performance than many conventional techniques and methods. This paper focuses on the modeling and the intelligent control of the NEREIDA wave power plant of Mutriku in Spain. In this context, the design of two novel intelligent airflow controls for a stalling-free operation of the Wells turbine-based power take-off system is presented and compared. The airflow control will ensure the avoidance of the stalling behavior using an intelligent PID controller. The first control design methodology is based on the metaheuristic algorithms to ensure the optimization of the controller gains. The second methodology is based on the fuzzy gain scheduling of the gains. Two study cases were performed to compare the optimized-PID and FGS-PID to a conventional PID in two wave conditions. The results show the superior performance of both proposed controls over the conventional PID, providing power generation improvement in regular and irregular waves.

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