GENERAL INFORMATION
------------------

1. Dataset title:
Dataset and mesh of the CFD numerical model for the modelling and simulation of a PEM fuel cell


2. Authorship:

	Name: Alfredo Iranzo Paricio
	Institution: University of Seville
	Email: airanzo@us.es
	ORCID: 0000-0003-4921-4328

	Name: Baltasar Toharias Góngora
	Institution: University of Seville
	Email: btoharias@us.es
	ORCID: 

	Name: Christian Suárez Soria
	Institution: University of Seville
	Email: christian.suarez@aicia.es
	ORCID: 

	Name: Manuel Felipe Rosa Iglesias
	Institution: University of Seville
	Email: rosaif@us.es
	ORCID: 0000-0001-8515-7418

	Name: Francisco Javier Pino Lucena
	Institution: University of Seville
	Email: fjp@us.es
	ORCID: 0000-0003-3897-3791



DESCRIPTION
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1. Dataset language:
English


2. Abstract:
A CFD mesh corresponding to a Proton Exchange Membrane Fuel Cell (PEMFC) with an active area of 50 cm2, serpentine channels and cross-flow field distribution is presented. The mesh was developed using ANSYS ICEM CFD Hexa (v12.0) and it is divided into 3D regions corresponding to the different components of the fuel cell: bipolar plates (anode and cathode), gas diffusion layers (GDLs), catalytic layers (CLs) and membrane. The mesh was generated following Best Practice Guidelines. Mesh independence results was checked in the corresponding CFD model and simulation of a experimental fuel cell ANSYS FLUENT with the PEM Fuel Cell module. Simulation results were also validated with the experimental data available from a fuel cell test bench for a set of different operating conditions. The experimental validation provides credibility to the CFD model and supports the use of the proposed mesh for fuel cell research, ensuring accurate results and comparison of different designs and operating conditions using numerical simulations.


3. Keywords: 
PEMFC fuel cell, bipolar plates, CFD, meshing


4. Date of data collection (fecha única o rango de fechas):
01-01-2009 - 31-12-2009


5. Publication Date:
11-02-2022 


6. Grant information:

	Grant Agency: Ministerio de Ciencia e Innovación MCIN/AEI/10.13039/501100011033
	Grant Number: PID2019-104441RB-I00

	Grant Agency: Ministerio de Ciencia e Innovación MCIN/AEI, co-funded with ERDF funds. 
	Grant Number: UNSE15-CE2962 and EQC2018-004258-P 

	Grant Agency:  Secretaría General de Universidades, Investigación y Tecnología, programa PAIDI 2020, Junta de Andalucía, co-funded with ERDF funds. 
	Grant Number:  PY20 RE 026 AICIA

	Grant Agency:  Secretaría General de Universidades, Investigación y Tecnología, Junta de Andalucía, co-funded with ERDF funds.
	Grant Number:  P08-TEP-4309



ACCESS INFORMATION
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1. Creative Commons License of the dataset:
CC-BY-NC


2. Dataset DOI:
https://doi.org/10.1016/j.dib.2022.107987


3. Related publication:
A. Iranzo, M. Muñoz, F. Rosa, J. Pino, Numerical model for the performance prediction of a PEM fuel cell. Model results and experimental validation, International Journal of Hydrogen Energy 35 (2010) 11533 – 11550. 
https://doi.org/10.1016/j.ijhydene.2010.04.129


METHODOLOGICAL INFORMATION
-----------------------

1. Description of the methods used to collect and generate the data:
A. Iranzo, M. Muñoz, F. Rosa, J. Pino, Numerical model for the performance prediction of a PEM fuel cell. Model results and experimental validation, International Journal of Hydrogen Energy 35 (2010) 11533 – 11550. 
https://doi.org/10.1016/j.ijhydene.2010.04.129


2. Software or instruments needed to interpret the data:
ANSYS version 12.0


3. Quality-assurance procedures performed on the data:
A mesh independence analysis was developed.

Nodes: 1378918
Elements: 1746952
Determinant: Min.: 0.9935, Max.: 1
Skewness: Min.: 0.9916, Max.: 1
Aspect ratio: Min.: 1.4142, Max.: 2582


FILE OVERVIEW 
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1. File list:

	File name: fluent_EC_serpentine_05_mesh_BPGpar_crossflowEC_fullBP2.msh
	Description: Meshing for CFD modelling and simulation of a PEM fuel cell    


2. File format:
Raw (file in .msh format)