PEMFC system simulation in MATLAB-Simulink® environment

Musio, Fabio; Tacchi, F.; Omati, Luca; Stampino, Paola Gallo; Dotelli, Giovanni; Limonta, Stefano; Brivio, Davide; Grassini, Paolo

doi:10.1016/j.ijhydene.2011.01.093

Cited by 76 publications

(46 citation statements)

References 8 publications

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“…The PEM fuel cell voltage is expressed as equation (9) is the reversible cell voltage, R is the gas constant, T is the temperature of the fuel cell; z is the number of moles of electrons transferred per mole of H 2 ; F is Faraday's constant; 2 , 2 , and 2 are the partial pressures of hydrogen, oxygen, and water, respectively [18,19]. The activation overpotential is based on electrochemical reaction kinetics and can be deduced from Butler-Volmer equation and expressed as equation (11), where is the transfer coefficient and 0 the exchange current density [18,19]. The concentration overpotential is characterized by equation (12), where the limiting current density [18,19].…”

Section: System Components: Pemfc Modelmentioning

confidence: 99%

“…The activation overpotential is based on electrochemical reaction kinetics and can be deduced from Butler-Volmer equation and expressed as equation (11), where is the transfer coefficient and 0 the exchange current density [18,19]. The concentration overpotential is characterized by equation (12), where the limiting current density [18,19]. The ohmic overpotential is due to the electrical resistances in the fuel cell that mainly contributed from proton exchange membrane.…”

Section: System Components: Pemfc Modelmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Analysis of a Self-Sustainable Renewable Hydrogen Fueling Station

Brouwer

Samuelsen

2014

ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology

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To evaluate the dynamic operation and feasibility of designing and operating a self-sustainable hydrogen fueling station using renewable energy sources, system models for a hydrogen fueling station using a proton exchange membrane (PEM) electrolyzer and fuel cell have been developed to simulate the renewable sources and fueling dynamics together with hydrogen production and station operation. Theoretical models have been integrated to simulate station performance when subjected to measured power and fueling demand dynamics from a public fueling station and measured renewable energy supply dynamics. The theoretical models that are integrated into various self-sustainable station design configurations include a Proton Exchange Membrane (PEM) electrolyzer and PEM fuel cell, hydrogen compressor, and storage tank. The fueling dynamics and power consumption dynamics were obtained from an operating public hydrogen fueling station and implemented in the system model. Various control strategies are simulated and the station performance is determined to depend upon the way renewable power is utilized in the station. Due to the round trip efficiency penalty associated with converting electricity to hydrogen (in an electrolyzer) and vice versa (in a fuel cell), the results suggest that the station operation power should be supplied by the renewable sources directly whenever possible, and that the hydrogen fuel cell should provide power only when there is no renewable power available (the third control strategy tested in this paper). The simulated hydrogen fueling station powered by 200 kW wind turbines or 360 kW solar PV were determined to successfully operate in a self-sustainable manner while dispensing ~25 kg of hydrogen per day. This study provides insights regarding the sizing of the station components such as renewable energy conversion devices, electrolyzer and fuel cell, and storage tank. The cost of the hydrogen was determined to be $8.01 per kg when the station is powered by 200 kW of wind turbines and operated using control strategy 3, while it increased to $20.22 per kg when the station is powered by 360 kW of PV array and operated using control strategy 3. This study provides a basis for achieving self-sustainable renewable hydrogen fueling stations. With further optimization and development, these self-sustainable renewable hydrogen fueling stations could provide valuable interconnections (especially in remote locations) throughout the hydrogen infrastructure network and further support the integration of renewable sources for vehicle fuels.

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Section: System Components: Pemfc Modelmentioning

confidence: 99%

Section: System Components: Pemfc Modelmentioning

confidence: 99%

Dynamic Analysis of a Self-Sustainable Renewable Hydrogen Fueling Station

Brouwer

Samuelsen

2014

ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology

View full text Add to dashboard Cite

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“…The PEM fuel cell voltage was expressed as equation (8), where E is the open circuit voltage, h act is the activation overpotential, h ohm is the ohmic overpotential and h conc is the concentration overpotential [33,34]. Using the Nernst equation, the open circuit voltage was calculated by equation (9), where E 0 rev is the reversible cell voltage, R is the gas constant, T is the temperature of the fuel cell; z is the number of moles of electrons transferred per mole of H 2 ; F is Faraday's constant; P H2 ,P O2 and P H2O are the partial pressures of hydrogen, oxygen, and water, respectively [33,34]. The activation overpotential was based on electrochemical reaction kinetics and can be deduced from ButlereVolmer equation and expressed as equation (10), where a is the transfer coefficient and i 0 the exchange current density.…”

Section: Pemfc Modelmentioning

confidence: 99%

“…The ohmic overpotential was due to the electrical resistances in the fuel cell that was mainly contributed from proton exchange membrane. The ohmic overpotential was given by equation (12), where r m is the resistivity of the proton exchange membrane, and l FC is the water content of the membrane [33,34]. Consumption of hydrogen was calculated with Faraday's Law given by equation (7), where n H2 is the number of moles of hydrogen consumed per second.…”

Section: Pemfc Modelmentioning

confidence: 99%

Dynamic operation and feasibility study of a self-sustainable hydrogen fueling station using renewable energy sources

Brouwer

2015

International Journal of Hydrogen Energy

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a b s t r a c tTo evaluate the dynamic operation and feasibility of designing and operating a selfsustainable hydrogen fueling station using renewable energy sources, dynamic system models have been developed for a hydrogen fueling station utilizing a proton exchange membrane (PEM) electrolyzer and fuel cell. Using fueling and power demand data from an existing public hydrogen station in Irvine, California, dynamic analyses of the selfsustainable station have been carried out. Various control strategies are developed and evaluated to determine the impacts of control strategies and renewable capacity factors on the efficiency and other performance characteristics of the station. The simulation results and analysis suggest that with careful sizing and system design, a self-sustainable hydrogen fueling station that relies completely upon renewable sources for hydrogen production, storage and dispensing is feasible. Moreover, a cost and sensitivity analysis is carried out to evaluate the levelized hydrogen cost for different station designs. The cost of the hydrogen is determined to be as low as $6.71 per kg or $9.14 per kg when the station is powered by 200 kW of wind turbines or 360 kW of PV arrays, respectively.

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“…Vehicle simulation tools are mainly commercial software, such as ADVISOR and CRUISE, as well as simulation tools developed by researchers [9][10][11][12]. ADVISOR can match components mode selection of the vehicles beforehand; it can also estimate the energy control strategy by running the vehicles, optimizing all sorts of using parameters [13,14]; meanwhile, this software is applied by vehicle manufacture enterprises and vehicle research institutions.…”

Section: Advisor Simulation Modelmentioning

confidence: 99%

Simulation and Test of a Fuel Cell Hybrid Golf Cart

Liang

Jian

2014

Journal of Electrical and Computer Engineering

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This paper establishes the simulation model of fuel cell hybrid golf cart (FCHGC), which applies the non-GUI mode of the Advanced Vehicle Simulator (ADVISOR) and the genetic algorithm (GA) to optimize it. Simulation of the objective function is composed of fuel consumption and vehicle dynamic performance; the variables are the fuel cell stack power sizes and the battery numbers. By means of simulation, the optimal parameters of vehicle power unit, fuel cell stack, and battery pack are worked out. On this basis, GUI mode of ADVISOR is used to select the rated power of vehicle motor. In line with simulation parameters, an electrical golf cart is refitted by adding a 2 kW hydrogen air proton exchange membrane fuel cell (PEMFC) stack system and test the FCHGC. The result shows that the simulation data is effective but it needs improving compared with that of the real cart test.

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PEMFC system simulation in MATLAB-Simulink® environment

Cited by 76 publications

References 8 publications

Dynamic Analysis of a Self-Sustainable Renewable Hydrogen Fueling Station

Dynamic Analysis of a Self-Sustainable Renewable Hydrogen Fueling Station

Dynamic operation and feasibility study of a self-sustainable hydrogen fueling station using renewable energy sources

Simulation and Test of a Fuel Cell Hybrid Golf Cart

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