Preliminary Program subject to change
TG009 Benchmarking of Thermochemical Cycles for Advanced Hydrogen Manufacturing Processes
OverviewSimulation of thermochemical cycles for hydrogen production by different researchers has led to very different performance predictions. This session addresses the effect on predicted performamce of uncertainties in the computed thermodynamic properties of the various process streams and differences in their conditions. By highlighting this problem, we hope to stimulate movement toward an international benchmarking effort.
Primary SponsorTopical G: Nuclear Energy and the Hydrogen Economy (TG)
Co-Sponsor(s)Nuclear Engineering Division (14)

Chair

John P. O'Connell
Chemical Engineering
University of Virginia
102 Engineers' Way
Charlottesville, VA 22904
Phone Number: 434 924 3428
Email: jpo2x@virginia.edu

CoChair

Ray W. K. Allen
Department of Chemical and Process Engineering
University of Sheffield
Mappin St
Sheffield, S1 3JD
United Kingdom
Phone Number: 0044-114-222 7600
Fax Number: 0044-114-2227501
Email: r.w.k.allen@sheffield.ac.uk

CoChair

Maximilian B. Gorensek
Senior Fellow Engineer
Computational Science and Statistics Department
Savannah River National Laboratory
Aiken, SC 29808
Phone Number: (803) 725-1314
Fax Number: (803) 725-8829
Email: maximilian.gorensek@srnl.doe.gov

* Membership Number 0000061539
Introductory Remarks
S-I Cycle Simulation Using Prosimplus
Olivier Baudouin1, Stéphane Dechelotte1, Philippe Guittard1, Martin Roeb2, Nathalie Monnerie2, Jean-Marc Borgard3, Giovanni Cerri4 and Claudio Corgnale4, (1)ProSim, Stratege Batiment A, BP 27210, Labege Cedex, F-31672, France, (2)Deutsches Zentrum für Luft und Raumfahrt (DLR – D), (3)DEN/DPC, CEA Saclay, point courier 41, gif sur yvette, 91191, France, (4)Università degli studi – Roma tre (DIMI – I)
Detailed Modeling of the Thermodynamics of the Sulfur-Iodine Thermochemical Cycle
George M. Bollas, Department of Chemical Engineering - Process Systems Engineering Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Ave., RM 66-363, Cambridge, MA 02139, Mujid S. Kazimi, Center for Advanced Nuclear Energy Systems, Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., RM 24-219, Cambridge, MA 02139 and Paul I. Barton, Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., RM 66-464, Cambridge, MA 02139
Modeling the Solubility of Sulfur Dioxide in Sulfuric Acid Solutions
Maximilian B. Gorensek, Computational Science and Statistics Department, Savannah River National Laboratory, Aiken, SC 29808, John P. O'Connell, Chemical Engineering, University of Virginia, 102 Engineers' Way, Charlottesville, VA 22904 and Paul M. Mathias, Fluor Corporation, 3 Polaris Way, Aliso Viejo, CA 92698
Influence of Some Critical Data on Efficiency of Extractive Distillation for S_I Cycle
Jean-Marc Borgard, DEN/DPC, CEA Saclay, point courier 41, gif sur yvette, 91191, France
Dependence of S-I Thermochemical Decomposition Process Configuration and Efficiency on Property Models
John P. O'Connell1, P. Narkprasert1 and Maximilian B. Gorensek2, (1)Chemical Engineering, University of Virginia, 102 Engineers' Way, Charlottesville, VA 22904, (2)Computational Science and Statistics Department, Savannah River National Laboratory, Aiken, SC 29808
Panel: An International Group of Researchers Will Discuss Consequences for Efficiency Estimates and Process Configurations of Uncertainties in Property Modeling and of Different Input and Output Stream Specifications. Development of Standards for Setting
Concluding Remarks

Topical G: Nuclear Energy and the Hydrogen Economy