Optimization and performance enhancement of concentrating solar power in a hot and arid desert environment

2021 ◽  
Vol 149 ◽  
pp. 111411
Author(s):  
Ali J. Sultan ◽  
Derek B. Ingham ◽  
Kevin J. Hughes ◽  
Lin Ma ◽  
Mohamed Pourkashanian
2018 ◽  
Vol 7 (3.20) ◽  
pp. 334 ◽  
Author(s):  
Nor Rashidah Mohamad ◽  
Muhammad Hafidz Fazli Md Fauadi ◽  
Siti Fairus Zainudin ◽  
Ahamad Zaki Mohamed Mohamed Noor ◽  
Fairul Azni Jafar ◽  
...  

This article focuses on Material Transportation Assignment problem that is identified as an Automated Guided Vehicles (AGV) multi-load task assignment. The primary goal of this paper is to determine the factors needed to optimize material transportation system. This study also explores the optimization and performance enhancement of the Flexible Manufacturing System (FMS) environment. The implementation of Genetic Algorithm (GA) in this model is to obtain the optimal solution for FMS layout. The combination of delivery and pickup task are addressed by modified algorithm for advancement in multiple loads AGV. The result obtained depicts that the proposed task assignment method with a modified genetic algorithm can produce acceptable performance compared to conventional task assignment method.  


Author(s):  
K. Nithyanandam ◽  
R. Pitchumani

Integrating a thermal energy storage (TES) in a concentrating solar power (CSP) plant allows for continuous operation even during times when solar radiation is not available, thus providing a reliable output to the grid. In the present study, the cost and performance models of an encapsulated phase change material thermocline storage system are integrated with a CSP power tower system model to investigate its dynamic performance. The influence of design parameters of the storage system is studied for different solar multiples of the plant to establish design envelopes that satisfy the U.S. Department of Energy SunShot Initiative requirements, which include a round-trip exergetic efficiency greater than 95% and storage cost less than $15/kWht for a minimum discharge period of 6 hours. From the design windows, optimum designs of the storage system based on minimum LCOE, maximum exergetic efficiency, and maximum capacity factor are reported and compared with the results of two-tank molten salt storage system. Overall, this study presents the first effort to construct a latent thermal energy storage (LTES)-integrated CSP plant model, that can help decision makers in assessing the impact, cost and performance of a latent thermocline energy storage system on power generation from molten salt power tower CSP plant.


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