Modeling, simulation and experimental validation of a PEM fuel cell system

Ziogou, Chrysovalantou; Voutetakis, Spyros; Papadopoulou, Simira; Georgiadis, Michael C.

doi:10.1016/j.compchemeng.2011.03.013

Cited by 85 publications

(45 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Moreover a fully humidification of both inlet reactant flows has been considered to avoid any dehydration problems of the membrane during the operation which is in agreement with the mathematical references of the PEMFC model in the software [23,24].…”

Section: Fuel Cellmentioning

confidence: 79%

Energy analysis of fuel cell system for commercial greenhouse application – A feasibility study

Vadiee

Yaghoubi

Sardella

et al. 2015

Energy Conversion and Management

View full text Add to dashboard Cite

Section: Fuel Cellmentioning

confidence: 79%

Energy analysis of fuel cell system for commercial greenhouse application – A feasibility study

Vadiee

Yaghoubi

Sardella

et al. 2015

Energy Conversion and Management

View full text Add to dashboard Cite

“…Numerous simulation models have been published on various aspects of PEM fuel cell cooling systems [65][66][67][68][69][70] but none of them have involved the use of nanofluids. In this study, by applying a semi-analytical steady state model of PEM fuel cell cooling systems, the challenges of conventional coolants (large size heat exchanger and pumping power) will be addressed.…”

Section: Overviewmentioning

confidence: 99%

Nanofluids to improve the performance of PEM fuel cell cooling systems: A theoretical approach

2016

View full text Add to dashboard Cite

“…1) was modelled by an experimentally validated semi-empirical nonlinear dynamic model [3] which considers the mass dynamics in the gas flow channels, the gas diffusion layers (GDL) and the membrane. Also the respective electrochemical equations are used for the calculation of the voltage and an energy balance differential equation is integrated to capture the temperature evolution.…”

Section: Nonlinear Dynamic Modelmentioning

confidence: 99%

Optimum Energy Management of PEM Fuel Cell Systems Based on Model Predictive Control

2017

Self Cite

View full text Add to dashboard Cite

This work presents an optimum energy management framework, which is developed for integrated Polymer Electrolyte Membrane (PEM) fuel cell systems. The objective is to address in a centralized manner the control issues that arise during the operation of the fuel cell (FC) system and to monitor and evaluate the system's performance at real time. More specifically the operation objectives are to deliver the demanded power while operating at a safe region, avoiding starvation, and concurrently minimize the fuel consumption at stable temperature conditions. To achieve these objectives a novel Model Predictive Control (MPC) strategy is developed and demonstrated. A semiempirical experimentally validated model is used which is able to capture the dynamic behaviour of the PEMFC. Furthermore, the MPC strategy was integrated in an industrial-grade automation system to demonstrate its applicability in realistic environment. The proposed framework relies on a novel nonlinear MPC (NMPC) formulation that uses a dynamic optimization method that recasts the multivariable control problem into a nonlinear programming problem using a warm-start initialization method and a search space reduction technique which is based on a piecewise affine approximation of the variable's feasible space. The behaviour of the MPC framework is experimentally verified through the online deployment to a small-scale fully automated PEMFC unit. During the experimental scenarios the PEMFC system demonstrated excellent response in terms of computational effort and accuracy with respect to the control objectives.

show abstract

Modeling, simulation and experimental validation of a PEM fuel cell system

Cited by 85 publications

References 47 publications

Energy analysis of fuel cell system for commercial greenhouse application – A feasibility study

Energy analysis of fuel cell system for commercial greenhouse application – A feasibility study

Nanofluids to improve the performance of PEM fuel cell cooling systems: A theoretical approach

Optimum Energy Management of PEM Fuel Cell Systems Based on Model Predictive Control

Contact Info

Product

Resources

About