Designing man-portable power generation systems for varying power demand

AIChE Journal

Volumn 54, Issue 5, 2008, Pages 1254-1269

  Yunt, Mehmet ^a   Chachuat, Benoît ^b   Mitsos, Alexander ^a   Barton, Paul I ^a  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b EPFL   (Switzerland)

Author keywords

Intermediate fidelity modeling; Man portable power; Micro fuel cell; Micro SOFC; Optimization

Indexed keywords

INTERMEDIATEFIDELITY MODELING; MAN-PORTABLE POWER; MICRO FUEL CELL;

ELECTRIC POWER GENERATION; FUEL CELLS; OPTIMIZATION; SYSTEMS ANALYSIS;

ELECTRIC POWER SYSTEMS;

ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEMS; FUEL CELLS; OPTIMIZATION; SYSTEMS ANALYSIS;

EID: 43749110025     PISSN: 00011541     EISSN: None     Source Type: Journal    
DOI: 10.1002/aic.11442     Document Type: Article

References (39)

1. Linden D. Handbook of Batteries. New York: McGraw-Hill; 2001.
2. Brodd JR. Recent developments in batteries for portable consumer applications. Electrochem Soc Interf. 1999;8:20-23.
3. Dyer CK. Fuel cells for portable applications. J Power Sources. 2002;106:31-34.
4. Epstein AH, Senturia SD. Macro power from micro machinery. Science. 1997;276:1211.
5. Coutts TJ. A review of progress in thermophotovoltaic generation of electricity. Renew Sust En Rev. 1999;3:77-184.
6. Dyer CK. Replacing the battery in portable electronics. Scientific American. 1999;281:88-93.
7. Jensen KF. Microreaction engineering-is small better? Chem Eng Sci. 2001;56:293-303.
8. Haile SM. Fuel-cell materials and components. ACTA Materialia. 2003;51:5981-6000.
9. Shao ZP, Haile SM, Ahn J, Ronney PD, Zhan ZL, Barnett SA. A thermally self-sustained micro solid-oxide fuel-cell stack with high power density. Nature. 2005;435:795-798.
10. Desmukh SR, Mhadeshwar AB, Vlachos DG. Microreactor modeling for hydrogen production from ammonia decomposition on ruthenium. Ind and Eng Chem Res. 2004;43:2986-2999.
11. Srikar VT, Turner KT, Ie TYA, Spearing SM. Structural design considerations for micromachined solid-oxide fuel-cell. J Power Sources. 2004;125:186-200.
12. Pattekar AV, Kothare MV. A microreactor for hydrogen production in micro fuel-cell applications. IEEE J of Microelectromechanical Systems. 2004;13:7-18.
13. Mitsos A, Palou-Rivera I, Barton PI. Alternatives for micropower generation processes. Ind and Eng Chem Res. 2004;43:74-84.
14. Mitsos A, Henke MM, Barton PI. Product engineering for man-portable power generation based on fuel cells. AIChE J. 2005;51:2199-2219.
15. Chachuat B, Mitsos A, Barton PI. Optimal design and steady-state operation of micro power generation employing fuel cells. Chem Eng Sci. 2005;60:4535-4556.
16. Barton PI, Mitsos A, Chachuat B. Optimal start-up of micro power generation processes. In: Puigjaner C. ed. European Symposium on Computer Aided Process Engineering - 15: Elsevier; 2005;1093-1098.
17. Chachuat B, Mitsos A, Barton PI. Optimal start-up of microfabricated power generation processes employing fuel cells. In preparation.
18. Mahesri A, Vardhan V. Power Consumption Breakdown on a Modern Laptop. Workshop on Power Aware Computing Systems, 37th International Symposium on Microarchitecture December; 2004.
19. Soldier Power/Energy Systems Committee. Meeting the Energy Needs of Future Warriors. Washington DC: The National Academies Press; 2004.
20. Birge JR, Louveaux F. Introduction to Stochastic Programming. Springer Series in Operations Research, New York: Springer-Verlag; 1997.
21. Kall P, Wallace SW. Stochastic Programming. New York: John Wiley & Sons; 1995.
22. Arana LR, Schaevitz SB, Franz AJ, Martin AS, Jensen KJ. A microfabricated suspended-tube chemical reactor for thermally efficient fuel processing. J of Microelectromechanical Systems. 2003;12(5): 600-612.
23. Ganley JC, Seebauer EG, Masel RI. Porous anodic alumina microreactors for production of hydrogen from ammonia. AIChE J. 2004;50:829-834.
24. Sifer N, Gardner K. An analysis of hydrogen production from ammonia hydride hydrogen generators for use in military fuel-cell environments. J of Power Sources. 2004;132:135-138.
25. Mitsos A, Chachuat B, Barton PI. Justification of the modeling assumptions in the intermediate fidelity models for portable power generation. Technical report. Cambridge (MA): Massachusetts Institute of Technology, Process Systems Engineering Laboratory; 2005. (Available at: http://yoric.mit.edu/reports.html).
26. Fogler HS. Elements of Chemical Reaction Engineering. Englewood Cliffs, NJ: Prentice-Hall; 1998.
27. Barton PI, Lee CK. Modeling, simulation, sensitivity analysis and optimization of hybrid systems. ACM Trans on Model and Comp Sim. 2002;12:256-289.
28. Safety and Health Topics: Ammonia. Washington DC: Occupational Safety & Health Administration. (Available at: http://www.osha.gov/dts/chemicalsampling/data/CH_218300.html).
29. Nitric Oxide. Washington DC: Occupational Safety & Health Administration. (Available at: http://www.osha.gov/dts/chemicalsampling/data/CH_256700.html).
30. Westbrook CK, Dryer FL. Chemical kinetic modeling of hydrocarbon combustion. Proc Energy Combust Sci. 1984;10:1-57.
31. Lee CK, Singer AB, Barton PI. Global optimization of linear hybrid systems with explicit transitions. Systems & Control Letts. 2004;51: 363-375.
32. Singer AB, Barton PI. Bounding the solutions of parameter dependent nonlinear ordinary differential equations. SIAM J on Scientific Computing. 2006;27:2167-2182.
33. Singer AB, Barton PI. Global optimization with nonlinear ordinary differential equations. J Global Optimization. 2006;34:159-190.
34. Gill PE, Murray W, Saunders MA. SNOPT: An SQP Algorithm for large-scale constrained optimization. SIAM Review. 2005;47:99-131.
35. Tolsma J, Barton PI. DAEPACK: an open modeling environment for legacy models. Ind & Eng Chem Res. 2000;39:1826-1839. (Available at: http://yoric.mit.edu/daepack/daepack.html).
36. Galán S, Feehery WF, Barton PI. Parametric sensitivity functions for hybrid discrete/continuous systems. Applied Numerical Mathematics. 1999;31:17-47.
37. Feehery WF, Tolsma JE, Barton PI. Efficient sensitivity analysis of large-scale differential-algebraic systems. Applied Numerical Mathematics. 1997;25:41-54.
38. Tolsma JE, Barton PI. Hidden discontinuities and parametric sensitivity analysis. SIAM J on Scientific Computing. 2002;23:1861-1874.
39. Tolsma JE. Block solver manual (version 1.0) technical report. Process Systems Engineering Laboratory, Department of Chemical Engineering, Massachusetts Institute of Technology; 2000. (Available at: http://yoric.mit.edu/daepack/download/Manuals_Pres/blocksolver.ps).