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Original Articles

Review and analysis of fuel cell-based, micro-cogeneration for residential applications: Current state and future opportunities

, &
Pages 1224-1243 | Received 30 Aug 2016, Accepted 23 Jan 2017, Published online: 05 Apr 2017
 

Abstract

Micro-cogeneration or micro-combined heat and power, which can meet both the electrical and thermal needs of the residential sector, is growing and can offer reduced energy usage and emission. Micro-combined heat and power differs from typical combined heat and power plants in size and in the way these systems are often controlled to follow the space heating load as opposed to the electrical load. Among the different technologies available, fuel cell-based micro-combined heat and power fundamentally differs from the combustion-based technologies and has the potential to achieve high electrical efficiency, low emissions, reduced noise, and reduced energy consumption for the residential sector. However, these benefits are not always realized by fuel cell micro-combined heat and power as they depend on factors such as start-up/shutdown time, turndown capability, and the application, among other things. While the opportunities are clear and well-documented in the literature, the means of assessing fuel cell micro-combined heat and power energy usage, efficiency, and emissions varies. Advanced models and methods, such as the quasi-two-dimensional or three-dimensional approach, have been developed for fuel cell system analysis, but simplified models are often used as part of the building integrated micro-combined heat and power assessment. Many of the building integrated micro-combined heat and power assessments only investigate the average annual energy usage and the associated greenhouse gas emissions of the micro-combined heat and power systems without fully accounting for the seasonal and day-to-day variations in the load and supply. Differences in the fuel cell models used for building integrated micro-combined heat and power assessment has led to conflicting results and conclusions about the potential for this technology in the residential sector. A literature review is conducted in this work to assess the opportunities and obstacles for fuel cell micro-combined heat and power in the residential sector and the methods of assessing these systems. The review reveals that certain fuel cell model types, such as the black box approach, tend to give inconsistent results when the assumptions do not align with the actual operation of the fuel cell micro-combined heat and power system. Recommendations are made for employing these models while assessing building integrated fuel cell micro-combined heat and power systems. A unified approach that integrates more sophisticated fuel cell micro-combined heat and power models into building integrated energy performance simulation platforms is recommended.

Nomenclature

Abbreviations
AC=

alternating current

BoP=

balance of plant

DC=

direct current

Mchp=

micro-combined heat and power

TER=

thermal electric ratio

Symbols
Ai=

surface area of ith enclosure

=

body forces

Di=

diffusion coefficient for species i

E=

reversible cell potential

e=

specific energy

Erev0=

reversible cell potential at standard conditions

F=

Faradays constant (96,485 C.mol−1)

=

heat flux

Qstack=

stack heat generation

Qinternal=

heat recovered for internal preheat and reforming

i0=

exchanger current density

iL=

limiting current density

LHV=

lower heating value of the fuel

fuel=

mass flow rate of fuel

=

mass flux of species i

N=

number of moles

n=

number of electrons per mole of fuel

P=

pressure

PAC=

AC power output from fuel cell system

Paux=

power for auxiliary equipment

Pstack=

electrical power output of fuel cell stack

Pth=

thermal power output of the fuel cell mCHP

Q=

building heating load

R=

universal gas constant

Rc=

cathode equivalent resistance

S=

volumetric heat source term

T=

temperature

t=

time

TER=

thermal electric ratio

Ufv=

fuel utilization

Ui=

overall heat transfer coefficient of ith enclosure

=

velocity vector

V=

volume

Vstack=

stack voltage

Vth,stack=

thermoneutral voltage of the stack

w=

source/sink of mass

wi=

source/sink of species i

Yi=

mass fraction of species i

α=

apparent charge transfer coefficient

ρ=

density

ρj=

material resistivity

ηact=

activation polarization

ηconc=

concentration polarization

ηohm=

ohmic polarization

μ=

dynamic viscosity

Φ=

equivalence ratio

ϵstack=

fuel cell stack electrical efficiency

ϵCHP=

efficiency of the mCHP system at design loads

ϵDC/AC=

efficiency of the DC/AC converter

Δg0=

change in Gibbs free energy between products and reactants at standard conditions

Δs=

change in entropy between products and reactants

ΔT=

temperature difference between indoor setpoint and design heating load temperature

λ=

thermal conductivity

Additional information

Funding

This material is based upon work supported by an agreement with Syracuse University awarded by its Syracuse Center of Excellence in Energy and Environmental Systems with funding under prime award number DE-EE0006031 from the U.S. Department of Energy and matching funding under award number 53367 from the New York State Energy Research and Development Authority (NYSERDA) and under NYSERDA contract 61736. NYSERDA has not reviewed the information contained herein, and the opinions expressed in this article do not necessarily reflect those of NYSERDA or the State of New York. This material is also based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. 1247399 and the ASHRAE Graduate Grant-in-Aid.

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