scholarly journals A case study of PV-wind-diesel-battery hybrid system

2017 ◽  
Vol 1 (4) ◽  
pp. 138-147 ◽  
Author(s):  
Adem Uğurlu ◽  
Cihan Gökçöl
Keyword(s):  
2018 ◽  
Vol 12 (3) ◽  
pp. 181-187
Author(s):  
M. Erkan Kütük ◽  
L. Canan Dülger

An optimization study with kinetostatic analysis is performed on hybrid seven-bar press mechanism. This study is based on previous studies performed on planar hybrid seven-bar linkage. Dimensional synthesis is performed, and optimum link lengths for the mechanism are found. Optimization study is performed by using genetic algorithm (GA). Genetic Algorithm Toolbox is used with Optimization Toolbox in MATLAB®. The design variables and the constraints are used during design optimization. The objective function is determined and eight precision points are used. A seven-bar linkage system with two degrees of freedom is chosen as an example. Metal stamping operation with a dwell is taken as the case study. Having completed optimization, the kinetostatic analysis is performed. All forces on the links and the crank torques are calculated on the hybrid system with the optimized link lengths


Materials ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2589
Author(s):  
Jung J. Kim

This study presents an explosion-resistant hybrid system containing a steel slab and a carbon fiber-reinforced polymer (CFRP) frame. CFRP, which is a high-strength material, acts as an impact reflection part. Steel slab, which is a high-ductility material, plays a role as an impact energy absorption part. Based on the elastoplastic behavior of steel, a numerical model is proposed to simulate the dynamic responses of the hybrid system under the air pressure from an explosion. Based on this, a case study is conducted to analyze and identify the optimal design of the proposed hybrid system, which is subjected to an impact load condition. The observations from the case study show the optimal thicknesses of 8.2 and 7 mm for a steel slab and a ϕ100 mm CFRP pipe for the hybrid system, respectively. In addition, the ability of the proposed hybrid system to resist an uncertain explosion is demonstrated in the case study based on the reliability methodology.


Author(s):  
A. Cano ◽  
Paul Arévalo ◽  
F. Jurado

This research compared different sizing methods to improve the current autonomous hybrid system in the Galapagos Islands in 2031, analyzing the loss of power supply probability (LPSP).


2021 ◽  
pp. 102346
Author(s):  
Tamal Chowdhury ◽  
Hemal Chowdhury ◽  
Samiul Hasan ◽  
Md Salman Rahman ◽  
Muhammad Mostafa Kamal Bhuiya ◽  
...  

Author(s):  
Zaidoon W. J. Al-Shammari ◽  
Safaa Kother ◽  
Ihsan Ahmed Taha ◽  
H. Enawi Hayder ◽  
M. Almukhtar Hussam ◽  
...  

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Yashwant Sawle ◽  
S.C. Gupta ◽  
Aashish Kumar Bohre
Keyword(s):  

2020 ◽  
Vol 170 ◽  
pp. 01015
Author(s):  
Avinash Kaldate ◽  
Amarsingh Kanase-Patil ◽  
Shashikant Lokhande

One downside to Green Energy is that it cannot be estimated. Therefore, determining the optimum planning and perfect working strategies for the resources to be included in the hybrid system is very important. HOMER software has been used in this research paper to solve the case study of the hybrid renewable energy system. Due to its extensive analytical capabilities and advanced prediction capabilities based on the sensitivity of variables, HOMER is one of the most used software for optimal planning purposes. A case study for the sizing of a renewable energy-based hybrid system is solved in this article, using the Hybrid Optimization of Multiple Energy Resources (HOMER) software. Photovoltaic panels (PV panels), wind turbines (WT), batteries, converters, electric charge and grid are used in case study. The results of the simulation are presented in graphical form and tabulated for better system visualization. The design of a system to supply 6.8 KWh/d whereas the peak is 1.04 KW electric loads has been performed using HOMER software. In order to allow the user to choose the most suitable option, a comparative analysis has made, showing the pros and cons of cases. Optimum construction conditions help to lower operating costs.


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