Performance and Combustion Analysis of a Micro Gas Turbine–Solid Oxide Fuel Cell Hybrid System

[+] Author and Article Information
Maria Cristina Cameretti, Antonino Pontecorvo, Raffaele Tuccillo

Dipartimento di Ingegneria Meccanica per l’Energetica (D.I.M.E.), Università di Napoli Federico II, Naples, 80125, Italy

J. Fuel Cell Sci. Technol 4(4), 459-467 (Apr 28, 2006) (9 pages) doi:10.1115/1.2756572 History: Received November 30, 2005; Revised April 28, 2006

An integrated methodology aims at estimation of the actual possibility of operating an hybrid system based on a solid oxide fuel cell and a micro gas turbine, by paying special attention to the adaptation of the rotating and stationary components to the off-design conditions. The method leads to the definition of the operating space of the hybrid system, thus allowing detection of optimal choices for an efficient part-load operation. The computational fluid dynamics (CFD)-based analysis of the combustion chamber is addressed to the verification of the response of this component when employed as an afterburner of the residual species from the fuel cell.

Copyright © 2007 by American Society of Mechanical Engineers
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Figure 1

Schematics of micro gas turbine integrated with devices for recuperated cycle and heat recovery

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Figure 2

Operating charts of the micro gas turbine

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Figure 3

Turbine characteristic parameters in the MTG maps

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Figure 4

Layout of the integrated MGT-SOFC hybrid system

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Figure 5

Flowchart of the SOFC model

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Figure 6

Characteristic planes for the off-design prediction of the hybrid system

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Figure 7

Operating data of the SOFC within the hybrid system

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Figure 8

Operating and performance data of the SOFC within the hybrid system

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Figure 9

Off design behavior of the fuel-cell pressure and of the steam to carbon ratio

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Figure 10

Operating parameters for the after-burning process in the combustor

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Figure 11

The lean premixed combustor

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Figure 12

2D computational domain and details of the block-structured mesh

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Figure 13

Temperature distributions (K) in the computational domain

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Figure 14

Fuel distributions (%) in the primary region

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Figure 15

Temperature pattern along the pilot line

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Figure 16

Radial temperature pattern in the outlet station



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