Pseudo Bond Graph System Modelling of Electric Air Compressors With Energy Recovery for Fuel Cell Applications

2021 ◽  
Author(s):  
Sebastian L\xfcck ◽  
Jan G\xf6ing ◽  
Christoph Bode ◽  
Jens Friedrichs
Keyword(s):  
Fuel Cell ◽  
Energy Recovery ◽  
Bond Graph ◽  
System Modelling ◽  
Graph System ◽  
Air Compressors

Pseudo Bond Graph System Modelling of Electric Air Compressors With Energy Recovery for Fuel Cell Applications

2020 ◽  
Author(s):  
Sebastian Lück ◽  
Jan Göing ◽  
Christoph Bode ◽  
Jens Friedrichs
Keyword(s):  
Fuel Cell ◽  
Bond Graph ◽  
System Modelling ◽  
The Novel ◽  
Surge Margin ◽  
Previous Formulation ◽  
Acceleration And Deceleration ◽  
Graph System ◽  
Definition Of ◽  
Air Compressors

Abstract In this paper, the novel machine type of an electric air compressor (EAC) for fuel cell applications is investigated and simulated using a Pseudo Bond Graph (PBG) approach. Initially, the system along with its miscellaenous components is derived in the Pseudo Bond Graph notation. Subsequently, the multiphysical connections of fluid, thermal and electrical domains are highlighted. In addition, a derivation for an extended definition of the Pseudo Bond Graph theory’s inertia I element is presented. In contrast to the previous formulation, it takes into account the effects of compressibility which were previously neglected. The simulations are carried out using in-house simulation tool ASTOR (AircraftEngine Simulation for Transient Operation Research) and feature different transient acceleration and deceleration manoeuvres with varying manoeuvre duration. It is shown that manoeuvre duration significantly influences transient performance such as the surge margin which is found to decrease by up to 9% in comparison to the steady operating line. In addition, deceleration is identified as the most critical operating condition.

Bond graph model of a PEM fuel cell stack

2008 ◽  
Vol 1 (06) ◽  
pp. 329-334
Author(s):  
S. Rabih ◽  
C. Turpin ◽  
S. Astier
Keyword(s):  
Fuel Cell ◽  
Graph Model ◽  
Pem Fuel Cell ◽  
Bond Graph ◽  
Fuel Cell Stack

scholarly journals Potential of Root Crops as Source of Electrical Energy

2013 ◽  
pp. 22-39
Author(s):  
Daniel Leslie Tan ◽  
Julie Tan ◽  
Mark Anthony Atanacio ◽  
Ruel Delantar
Keyword(s):  
Fuel Cell ◽  
Microbial Fuel Cell ◽  
Regression Models ◽  
Energy Recovery ◽  
Electrical Energy ◽  
Galvanic Cell ◽  
Waste Waters ◽  
Light Emitting ◽  
Root Crops ◽  
Different Types

Energy from edible and inedible root crop roots and tubers using galvanic cell and processing waste waters through microbial fuel cell (MFC) technology was harnessed. Electrolyte in the roots and tubers was tapped for galvanic cell and the microorganisms from waste waters act as catalyst in MFC. In galvanic cell, the optimized responses of badiang, cassava and sweetpotato were greatly affected by the surface area and distance between anode and cathode electrodes. An increase of nata-de-coco membrane size in MFC increased the voltage and current by 4.94 and 11.71 times, respectively. Increasing the width of anode also enhanced the responses. Different types of microorganisms were isolated from the biofilm anode of MFC. Their growth and proliferation which corresponded to the generation of electricity were also demonstrated in this study. A total of 54 bacterial isolates were collected from the biofilm at the anode of single-chamber MFC (SCMFC). The generated electricity observed using light emitting diodes (LED) showed potential both for galvanic and microbial fuel cell. The generated regression models are reliable tools in predicting desired outputs for future applications. These promising results demonstrated basic information on the electrical energy recovery from rootcrop waste waters and roots/tubers.

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