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International Conference on Hydrogen Safety

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Presentation on theme: "International Conference on Hydrogen Safety"— Presentation transcript:

1 International Conference on Hydrogen Safety
ICHS 2011 September 12-14, 2011 San Francisco, California-USA Validation of Computational Fluid Dynamics Models for Hydrogen Fast Filling Simulations M. C. Galassi, E. Papanikolaou, M. Heitsch, D. Baraldi, B. Acosta Iborra, P. Moretto

2 OUTLINE Introduction GasTeF Experiments CFD Simulations Conclusions
Motivation Fast Filling issues Why CFD GasTeF Experiments CFD Simulations Model Results Conclusions Experiments Modeling

3 INTRODUCTION Competitive with current technologies
Three main targets: short refueling time  3 min long driving range  MPa high safety and reliability Limit of 85°C High temperature can be reached in the tank during refueling. Limit of 85 degrees in ISO/TS 15869, 2009

4  VALIDATION OF NUMERICAL MODELS/CODES
INTRODUCTION WHY CFD? CFD can provide 3D detailed and complete flow-field information over a wide range of flow configurations Relevant information for hazards and risk assessment of hydrogen technologies (e.g. P and T loads) Valuable contribution to design, optimization, innovative solutions High level of reliability and accuracy of the numerical models is required in order to apply CFD to real-scale problems  VALIDATION OF NUMERICAL MODELS/CODES

5 DATA ACQUISITION SYSTEM
GasTeF EXPERIMENTS Gas tanks Testing Facility EU reference laboratory on safety and performance assessment of high-pressure hydrogen (and natural gas) storage tanks Fast filling, cyclic and permeation testing DATA ACQUISITION SYSTEM

6 Fast filling of type 4 tanks
Experiments Code Validation (ANSYS CFX 12.1) Assess code accuracy of high pressure hydrogen tank fast filling Evaluate internal and external temperature distribution H2 Pin [MPa] H2 Pfin [MPa] tfilling [s] Tsleeve [°C] H2 Tini TCs Test H 0.02 71.7 330 16 21 Pos 2 Test H 71.8 245 18 Pos1, 2 Vol=29 l Φ 0.28m 0.83m

7 CFD SIMULATIONS Computational model Fluid Domain Solid Domains
Hydrogen Solid Domains Liner (High Density Poly Amide Epoxy) Insulation (Composite CF) Bosses (steel) ~ 560k nodes, 900k cells Probes at Thermo Couples position Pos2 Pos1

8 CFD SIMULATIONS Boundary and Initial Conditions (BIC) Fluid Domain
BCs at inlet:T,p BCs at walls: Conjugate Heat Transfer, no slip ICs: Still at T0 Solid Domains BC: Conjugate Heat Transfer, Heat Transfer Coefficient (with amb. air) ICs: Tamb Test H Test H

9 Temperature distribution
CFD SIMULATIONS Results 100 s 330 s 200 s 330 s Temperature distribution

10 CFD SIMULATIONS Results Pos2: TC1,2,3,4,5 Test H

11 CFD SIMULATIONS Results Pos2: TCext1, TCext2, TCext3 Test H

12 CFD SIMULATIONS Results Pos1: T2,T4 Test H Pos2: T2, T4

13 CFD SIMULATIONS Results: Maximum temperatures at Test H2 25022010
the end of the filling procedure Test H Pos1 Pos1 Test H

14 CONCLUSIONS (1/2) CFD validation against experimental data for hydrogen fast filling prediction up to 72 MPa Two different tests: similar working conditions but different filling time The developed model proved to accurately predict internal maximum temperature for both tests (maximum error<7%), Prediction of external maximum temperature was less accurate (maximum error~15%) and strongly dependent on material properties.

15 CONCLUSIONS (2/2) Further investigation is required on
Material properties Heat exchange between fluid, tank walls and environment Different turbulence models A fully validated CFD model will Allow reliable predictions of fast filling scenarios Constitute a valuable complementary tool to experimental campaigns supporting Design and optimization process Development of innovative solutions

16 THANK YOU FOR YOUR ATTENTION !


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