scholarly journals Hybrid desalination and power generation plant utilizing multi-stage flash and reverse osmosis driven by parabolic trough collectors

2021 ◽  
Vol 23 ◽  
pp. 100807
Author(s):  
Nour A. Moharram ◽  
Seif Bayoumi ◽  
Ahmed A. Hanafy ◽  
Wael M. El-Maghlany
Author(s):  
Adnan Alashkar ◽  
Mohamed Gadalla

In this paper, the performance of Parabolic Trough Solar Collector (PTSC)-based power generation plant is studied. The effect of adding an Organic Rankine Cycle (ORC), and a Thermal Energy Storage (TES) system on the performance and financial metrics of the PTSC-power plant is investigated. Moreover, multiple organic working fluids for the ORC are compared in terms of the thermal and exergetic efficiencies, as well as the pumping power, and the most efficient fluid is selected. Further, the TES system is characterized by two-tank storage system with a storage period of 7 hours/24 hours. A yearly, monthly, and daily performance analyses are presented based on the Typical Meteorological Year (TMY) values for the city of Abu Dhabi, to study the improvement caused by the ORC and TES system. The simulation results show that Benzene is the most efficient organic fluid, as it showed the highest thermal and exergetic efficiency, and the lowest pumping power when compared to other organic fluids. In addition, the presence of the ORC increased the annual energy output of the power plant by 4%, while the addition of the TES increased the annual energy output by 68% and decreased the LCE by 29%. In the case where both the ORC and TES are added, the annual energy output increased by 72%, while the LCE decreases by almost 31%.


Energy ◽  
2019 ◽  
Vol 166 ◽  
pp. 918-928 ◽  
Author(s):  
Nan Zhang ◽  
Hongjuan Hou ◽  
Gang Yu ◽  
Eric Hu ◽  
Liqiang Duan ◽  
...  

Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 70 ◽  
Author(s):  
Fares M’zoughi ◽  
Izaskun Garrido ◽  
Soufiene Bouallègue ◽  
Mounir Ayadi ◽  
Aitor J. Garrido

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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