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Carbon monoxide reduction in solid oxide fuel cell–mini gas turbine hybrid power system

  • M. Y. A. Jamalabadi
Article

Abstract

In this paper, combined heat and power frameworks employing solid oxide fuel cell power module and a small-scale gas turbine are presented. The offered system is utilized as heat and power supply for residential consumers with a carbon dioxide sorption circulating fluidized bed. As well a favorable solution for the high penalties associated with CO2 capture and reuse of the CO contents is offered. The combined heat and power system considered by a different arrangement in order to high proficiency, controllability, heat recovery and high capacity of energy. In the proposed system, the unburned product from the solid oxide fuel cell is re-extracted and utilized as a fuel source. The suggested system is analyzed by the first and second law of thermodynamics. During this study, comprehensive calculations of chemistry and thermal within the fuel cell are performed to get accurate results. The impact of various parameters, for example fuel and oxidant rate, carbon dioxide removal, operating pressure, compressor parameter on work and heat output of the cycle as well as the discharge of carbon dioxide contamination, is investigated. The optimal pressure ratio of the compressor to minimize the carbon dioxide production is found.

Keywords

Mini turbine Solid compound cell Entropy generation Exergy analysis 

List of symbols

A

Area (m2)

cp

Specific heat at constant pressure (kJ kmol−1 K−1)

e

Specific exergy flow (kW kg−1)

E

The reversible voltage of the fuel cell (V)

E0

Fuel cell voltage under standard conditions (V)

ED

Exergy destruction

EL

Exergy lost

F

Faraday’s constant (96485 C mol−1)

h

Enthalpy (kJ kmol−1)

i

Current density (A m−2)

I

Current (A)

Kp

Equilibrium constant

k

The ratio of specific heats

LHV

Lower heating value (kJ kmol−1)

n

Molar flow rate (kmol s−1)

ne

Number of electrons

P

Pressure (kPa)

Q

Heat generation rate (kW)

rp

compressor pressure ratio

Ru

Universal gas constant (8.314 J mol−1 K−1)

s

Entropy (kJ/kmol K)

T

Temperature (K)

Uf

Fuel utilization coefficient

Vact

Activation loss (V)

Vconc

Concentration loss (V)

Vohm

Ohmic loss (V)

Vloss

Voltage loss (V)

Vcell

Cell voltage (V)

W

Power (kW)

x

Molar rates of progress of the cell reforming reactions (kmol s−1)

y

Molar rates of progress of the cell shifting reactions (kmol s−1)

z

Molar rates of progress of the cell overall reactions (kmol s−1)

Greek letters

η

Efficiency

v

Specific volume

Subscripts

a

Air

ab

Afterburner

an

Anode

AC

Alternating current

ca

Cathode

c

Air compressor

cell

Fuel cell

cf

Fuel compressor

DC

Direct current

elec

Overall reactions

ele

Electrical

f

Fuel

i

Gas species

in

Inlet

inv

Inverter

is

Isentropic

g

Gas

mgt

Mini gas turbine

out

Exit

r

Reforming reaction

reg

Recuperator

sofc

Solid oxide fuel cell

sh

Shifting reaction

surr

Surrounding

sys

System

th

Thermal

tot

Overall

w

Water

wp

Water pump

References

  1. 1.
    Jamalabadi MYA. Electrochemical and exergetic modeling of a CHP system using tubular solid oxide fuel cell and mini gas turbine. ASME J Fuel Cell Sci Technol. 2013;10(5):051007.CrossRefGoogle Scholar
  2. 2.
    Jamalabadi MYA. Economic and environmental modelling of a MGT-SOFC hybrid combined heat and power system for ship applications. Middle-East J Sci Res. 2014;22(4):561–74.Google Scholar
  3. 3.
    Jamalabadi MYA, Park JH, Lee CY. Economic and environmental modelling of a micro gas turbine and solid oxide fuel cell hybrid combined heat and power system. Int J Appl Environ Sci. 2014;9(4):1769–81.Google Scholar
  4. 4.
    Jamalabadi MYA. Impedance spectroscopy study and system identification of a solid-oxide fuel cell stack With Hammerstein-Wiener Model. J Electrochem Environ Conserv Store. 2014;14(2):021002.CrossRefGoogle Scholar
  5. 5.
    Singhal SC, Kendall K. High-temperature solid oxide fuel cells: fundamentals, design and application. Oxford: Elsevier Science; 2003.Google Scholar
  6. 6.
    Achenbach E. Three-dimensional and time-dependent simulation of a planar solid oxide fuel cell stack. J Power Sources. 1994;49(1–3):333–48.CrossRefGoogle Scholar
  7. 7.
    Jamalabadi MYA. Simulation of electrochemical impedance spectroscopy of a solid oxide fuel cell anodes. World Appl Sci J. 2014;32(4):667–71.Google Scholar
  8. 8.
    Jamalabadi MYA. Numerical investigation of thermal radiation effects on electrochemical impedance spectroscopy of a solid oxide fuel cell anode. Mater Perform Charact. 2015;4(1):1–28.Google Scholar
  9. 9.
    Yakabe H, Ogiwara T, Hishinuma M, Yasuda I. 3D model calculation for planar SOFC. J Power Sources. 2001;102(1–2):144–54.CrossRefGoogle Scholar
  10. 10.
    Bove R, Ubertini S. Modeling solid oxide fuel cells. Dordrecht: Springer; 2008.CrossRefGoogle Scholar
  11. 11.
    Ferguson J, Fiard J, Herbin R. Three-dimensional numerical simulation for various geometries of solid oxide fuel cells. J Power Sources. 1996;58(2):109–222.CrossRefGoogle Scholar
  12. 12.
    Zhu H, Kee R. A general mathematical model for analyzing the performance of fuel-cell membrane-electrode assemblies. J Power Sources. 2003;117(1–2):61–74.CrossRefGoogle Scholar
  13. 13.
    Kakaç S, Pramuanjaroenkij A, Zhoub X. A review of numerical modeling of solid oxide fuel cells. Int J Hydrogen Exergy. 2007;32(7):761–86.CrossRefGoogle Scholar
  14. 14.
    Costamagna P, Honegger K. Modeling of solid oxide heat exchanger integrated stacks and simulation at high fuel utilization. J Electrochem Soc. 1998;145(11):3995–4007.CrossRefGoogle Scholar
  15. 15.
    Jamalabadi MYA. Simulation of electrochemical impedance spectroscopy of a solid oxide fuel cell anodes. In: 5th European Fuel Cell Piero Lunghi Conference (EFC13), Rome, Italy, pp. 395–396.Google Scholar
  16. 16.
    Eteiba MB, Barakat S, Samy MM, IsmaelWah Wael. Optimization of an off-grid PV/Biomass hybrid system with different battery technologies. Sustain Cities Soc. 2018;40:713–27.CrossRefGoogle Scholar
  17. 17.
    Lanzini A, Madi H, Chiodoc V, Papurello D, Maisano S, Santarellia M, Van herle J. Dealing with fuel contaminants in biogas-fed solid oxide fuel cell (SOFC) and molten carbonate fuel cell (MCFC) plants: degradation of catalytic and electro-catalytic active surfaces and related gas purification methods. Prog Exergy Combust Sci. 2017;61:150–88.CrossRefGoogle Scholar
  18. 18.
    Deng J, Wang RZ, Han GY. A review of thermally activated cooling technologies for combined cooling, heating and power systems. Progress Energy Combust Sci. 2011;37:172–203.CrossRefGoogle Scholar
  19. 19.
    Sikarwar VS, Ming Z, Fennell PS, Shah N, Anthony EJ. Progress in biofuel production from gasification. Progress Exergy Combust Sci. 2017;61:189–248.CrossRefGoogle Scholar
  20. 20.
    Lebon B, Nguyen MQ, Peixinho J, Shadloo MS, Hadjadj A. A new mechanism for periodic bursting of the recirculation region in the flow through a sudden expansion in a circular pipe. Phys Fluids. 2018;30(3):031701.CrossRefGoogle Scholar
  21. 21.
    Mahmoudinezhad S, Rezania A, Yousefi T, Shadloo MS, Rosendahl LA. Adiabatic partition effect on natural convection heat transfer inside a square cavity: experimental and numerical studies. Heat and Mass Transfer. 2018;54(2):291–304.CrossRefGoogle Scholar
  22. 22.
    Shadloo MS, Hadjadj A, Chaudhuri A, Ben-Nasr O. Large-eddy simulation of a spatially-evolving supersonic turbulent boundary layer at M∞ = 2. Eur J Mech-B/Fluids. 2018;67:185–97.CrossRefGoogle Scholar
  23. 23.
    Shadloo MS, Kimiaeifar A, Bagheri D. Series solution for heat transfer of continuous stretching sheet immersed in a micropolar fluid in the existence of radiation. Int J Numer Meth Heat Fluid Flow. 2013;23(2):289–304.CrossRefGoogle Scholar
  24. 24.
    Shadloo MS, Kimiaeifar A. Application of homotopy perturbation method to find an analytical solution for magnetohydrodynamic flows of viscoelastic fluids in converging/diverging channels. Proc I Mech E Part C: J Mech Eng Sci. 2011;225:347–53.CrossRefGoogle Scholar
  25. 25.
    Rashidi MM, Nasiri M, Shadloo MS, Yang Z. Entropy generation in a circular tube heat exchanger using nanofluids: Effects of different modeling approaches. Heat Transfer Eng. 2018;38(9):853–66.CrossRefGoogle Scholar
  26. 26.
    Rahmat A, Tofighi N, Shadloo MS, Yildiz M. Numerical simulation of wall bounded and electrically excited Rayleigh-Taylor instability using incompressible smoothed particle hydrodynamics. Colloids Surf, A. 2014;460:60–70.CrossRefGoogle Scholar
  27. 27.
    Ducoin A, Shadloo MS, Roy S. Direct Numerical Simulation of flow instabilities over Savonius style wind turbine blades. Renewable Exergy. 2017;105:374–85.CrossRefGoogle Scholar
  28. 28.
    Sadeghi R, Shadloo MS, Jamalabadi MYA, Karimipour A. A three-dimensional lattice Boltzmann model for numerical investigation of bubble growth in pool boiling. Int Commun Heat Mass Transfer. 2016;79:58–66.CrossRefGoogle Scholar
  29. 29.
    Sadeghi R, Shadloo MS. Three-dimensional numerical investigation of film boiling by the lattice Boltzmann method. Numer Heat Transfer, Part A: Appl. 2017;71(5):560–74.CrossRefGoogle Scholar
  30. 30.
    Nasiri H, Abdollahzadeh Jamalabadi MY, Sadeghi R, Safaei MR, Nguyen TK, Safdari Shadloo M. A smoothed particle hydrodynamics approach for numerical simulation of nano-fluid flows: application to forced convection heat transfer over a horizontal cylinder. J Thermal Anal Calorim. 2018.  https://doi.org/10.1007/s10973-018-7022-4.CrossRefGoogle Scholar
  31. 31.
    Jamalabadi MYA, Daqiqshirazi M, Nasiri H, Safaei MR, Nguyen TK. Modeling and analysis of biomagnetic blood Carreau fluid flow through a stenosis artery with magnetic heat transfer: a transient study. PLoS ONE. 2018;13(2):e0192138.CrossRefGoogle Scholar
  32. 32.
    Abdollahzadeh Jamalabadi MY, Safaei MR, Alrashed AAAA, Nguyen TK, Filho EPB. Entropy generation in thermal radiative loading of structures with distinct heaters. Entropy. 2017;19(10):506.CrossRefGoogle Scholar
  33. 33.
    Pissanetsky S. Sparse matrix technology. London: Academic Press; 1984.Google Scholar
  34. 34.
    Tarjan R. Depth-first search and linear graph algorithms. SIAM J Comput. 1972;1:146–60.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2018

Authors and Affiliations

  1. 1.Department for Management of Science and Technology DevelopmentTon Duc Thang UniversityHo Chi Minh CityVietnam
  2. 2.Faculty of Civil EngineeringTon Duc Thang UniversityHo Chi Minh CityVietnam

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