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Research Papers

Impact of Residential Fuel Cell System Parameters on Its Economic Assessment

[+] Author and Article Information
J. Millette

 Laboratoire des Technologies de l’Énergie (LTE), Hydro-Québec, 600 Avenue de la Montagne, Shawinigan, QC, G9N 7N5, Canadamillette.jocelyn@lte.ireq.ca

M. Dostie

 Laboratoire des Technologies de l’Énergie (LTE), Hydro-Québec, 600 Avenue de la Montagne, Shawinigan, QC, G9N 7N5, Canadadostie.michel@lte.ireq.ca

J.-F. Morneau

 Laboratoire des Technologies de l’Énergie (LTE), Hydro-Québec, 600 Avenue de la Montagne, Shawinigan, QC, G9N 7N5, Canadajf@jfzone.net

J. Fuel Cell Sci. Technol 5(3), 031002 (May 22, 2008) (9 pages) doi:10.1115/1.2889010 History: Received May 12, 2005; Revised September 21, 2007; Published May 22, 2008

This study evaluates different fuel cell system configurations for residential applications from an economic standpoint. The evaluation is made using a Monte Carlo simulation for different building types, heating systems, and rate structures. Electric and thermal energy produced and used, energy from the grid, and gas consumption are evaluated using a frequency energy model. This frequency model is based on detailed energy consumption measurements. Sensitivity analysis shows that the parameters defining the potential residential market are building type, utility rates, and heating systems. These are not related to fuel cell system characteristics. In general, the systems offering the lower annual net payment are fuel cells with Pnom about 1kW, no battery, cogeneration system for space heating and domestic hot water heating.

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Copyright © 2008 by American Society of Mechanical Engineers
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Figures

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Figure 1

FC system schematic

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Figure 2

Illustration of the power demand for an all-electric house on a winter day

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Figure 3

Power supply, conventional time domain model

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Figure 4

Storage levels, conventional time domain model

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Figure 5

Heat recovery, conventional time domain model

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Figure 6

Energy flows in the FC systems

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Figure 7

Plug load power distribution for single family building, mean=1.017kW

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Figure 9

Plug load power distribution for multifamily building, mean=2.345kW

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Figure 11

Typical ANP distribution for duplex-triplex in Massachusetts, bin=10 CND$

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Figure 12

Typical ANP sensitivity for duplex-triplex in Massachusetts (variation is ±25%)

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Figure 8

Plug load power distribution for duplex-triplex building, mean=1.301kW

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Figure 10

Outside temperature distribution, all building types, mean=6.1°C, St-Hubert (Québec)

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