Comparative evaluation of hybrid photovoltaic, wind, tidal and fuel cell clean system design for different regions with remote application considering cost

2021 ◽  
Vol 283 ◽  
pp. 124207 ◽  
Author(s):  
Amirreza Naderipour ◽  
Zulkurnain Abdul-Malek ◽  
Saber Arabi Nowdeh ◽  
Hesam Kamyab ◽  
Amir Reza Ramtin ◽  
...  
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Comparative Evaluation ◽  
Clean System

scholarly journals Integrated Process Control‐Power Management System Design and Flight Performance Tests for Fuel Cell Powered Mini‐Unmanned Aerial Vehicle

2021 ◽  
Vol 9 (3) ◽  
pp. 2170031
Author(s):  
Betül Erdör Türk ◽  
Mustafa Hadi Sarul ◽  
Ekrem Çengelci ◽  
Çiğdem İyigün Karadağ ◽  
Fatma Gül Boyacı San ◽  
...  
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Power Management ◽  
Unmanned Aerial Vehicle ◽  
Flight Performance ◽  
Performance Tests ◽  
Integrated Process ◽  
Control Power ◽  
Aerial Vehicle ◽  
Power Management System

Shared Autonomous Vehicle System Design for Battery Electric Vehicle (BEV) and Fuel Cell Electric Vehicle (FCEV)

2021 ◽  
Author(s):  
Ungki Lee ◽  
Sunghyun Jeon ◽  
Ikjin Lee
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Proton Exchange ◽  
Battery Electric Vehicle ◽  
Test Bed ◽  
Alternative Fuel Vehicles ◽  
Total Cost ◽  
Fuel Cell Electric Vehicle

Abstract Shared autonomous vehicles (SAVs) encompassing autonomous driving technology and car-sharing service are expected to become an essential part of transportation system in the near future. Although many studies related to SAV system design and optimization have been conducted, most of them are focused on shared autonomous battery electric vehicle (SABEV) systems, which employ battery electric vehicles (BEVs) as SAVs. As fuel cell electric vehicles (FCEVs) emerge as alternative fuel vehicles along with BEVs, the need for research on shared autonomous fuel cell electric vehicle (SAFCEV) systems employing FCEVs as SAVs is increasing. Therefore, this study newly presents a design framework of SAFCEV system by developing an SAFCEV design model based on a proton-exchange membrane fuel cell (PEMFC) model. The test bed for SAV system design is Seoul, and optimization is conducted for SABEV and SAFCEV systems to minimize the total cost while satisfying the customer wait time constraint, and the optimization results of both systems are compared. From the results, it is verified that the SAFCEV system is feasible and the total cost of the SAFCEV system is even lower compared to the SABEV system. In addition, several observations on various operating environments of SABEV and SAFCEV systems are obtained from parametric studies.

scholarly journals Fuel cell–gas turbine hybrid system design part I: Steady state performance

2014 ◽  
Vol 257 ◽  
pp. 412-420 ◽  
Author(s):  
Dustin McLarty ◽  
Jack Brouwer ◽  
Scott Samuelsen
Keyword(s):  
Steady State ◽  
Fuel Cell ◽  
System Design ◽  
Gas Turbine ◽  
Hybrid System ◽  
Steady State Performance

scholarly journals Evaluating the influence of requirements in fuel cell system design using Design Requirement Maps

Fuel Cells ◽  
2021 ◽  
Author(s):  
Alexander Fladung ◽  
Hannes Scholz ◽  
Oliver Berger ◽  
Richard Hanke‐Rauschenbach
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Cell System ◽  
Fuel Cell System ◽  
Design Requirement

A Novel Fuel Cell System Design by Using Ziegler-Nichols-Based Intelligent Fuzzy Controller

2013 ◽  
Vol 479-480 ◽  
pp. 934-937
Author(s):  
Jium Ming Lin ◽  
Cheng Hung Lin
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Temperature Rise ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Cell System ◽  
Fuel Cell System ◽  
Current Requirement ◽  
Pid Controller Design

This paper proposes a novel fuel cell system design by integrating both methods of Ziegler-Nichols-based PID control and the intelligent fuzzy control, thus the relative stability and disturbance rejection properties can be reserved. This new method is not proposed before for fuel cell control system design. By using PID method for the normal case of fuel cell current requirement, the overshoot of the temperature is 45%, the temperature rise and the settling times are 0.65 sec and 2 sec, respectively. However, by using intelligent fuzzy Ziegler-Nichols-based PID controller design, the overshoot of the temperature is 12%, the temperature rise and the settling times are 0.7 sec and 1 sec, respectively. Thus the proposed method is better. Moreover, this paper also takes the system disturbance variation effect into consideration, e.g. the current requirement is increased by 100% for climbing a slope or speed-up conditions; note a large 60% temperature overshoot is produced by using Ziegler-Nichols based PID controller. But the overshoot is only 20% by using the intelligent fuzzy Ziegler-Nichols-based PID controller. Thus the proposed system is more robust.

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