Use of Numerical Modeling To Compare Overfire Air Systems On Stoker-Fired Furnaces
Use of Numerical Modeling To Compare Overfire Air Systems On Stoker-Fired Furnaces
Use of Numerical Modeling To Compare Overfire Air Systems On Stoker-Fired Furnaces
BR-1819
Authors:
K.L. Jorgensen
J.R. Strempek
Babcock & Wilcox
Power Generation Group, Inc.
Barberton, Ohio, U.S.A.
W.J. Arvan
Palm Beach Resource Recovery
Corporation
West Palm Beach, Florida
R.H. Schauer
Solid Waste Authority of Palm
Beach County
West Palm Beach, Florida
Presented to:
International Mechanical Engineering Congress and Exposition
Date:
October 31 - November 6, 2008
Location:
Boston, Massachusetts, U.S.A.
Raymond H. Schauer
Solid Waste Authority of Palm Beach County
West Palm Beach, Florida, U.S.A.
W.J. Arvan
Palm Beach Resource Recovery Corporation
West Palm Beach, Florida, U.S.A.
Presented at:
International Mechanical Engineering
Congress and Exposition
Boston, Massachusetts
October 31 - November 6, 2008
BR-1819
Abstract
The method by which air is introduced to a furnace is
an important aspect of the combustion system. With the
demands of more stringent regulations affecting modern
combustion systems, numerical modeling has become a
valuable tool for design and analysis. Numerical modeling has been used to compare a conventional Controlled
Combustion Zone (CCZ) overfire air (OFA) system design
typically used on stoker-fired furnaces to a more advanced
design. The new design involves removing the opposed
arches and replacing the numerous small overfire air ports
with a smaller number of controlled penetration Precision
Jet ports. Modeling results demonstrate benefits of the
advanced design.
Introduction
The air system is a critical part of the overall combustion system design and an important aspect of system
performance. Often, improvements in boiler performance
and emissions can be realized by air system modifications.
Even more dramatic improvements can be possible with
changes to the basic design of the air system.
The boiler fuel system is the mechanism by which fuel,
the source of thermal energy, is introduced to the boiler and is
the means by which the boiler load is controlled. In contrast,
air systems are used to not only supply oxidant to the fuel,
but as the basic means to control the combustion process
Babcock & Wilcox Power Generation Group
Combustion modeling
Modeling of solid fuel combustion systems requires
specific treatment of five fundamental processes: fluid
transport, particle transport, homogeneous chemical reactions, heterogeneous chemical reactions, and radiative heat
transfer. The inter-relationship of these five processes is
shown in Figure 1. Only a brief description of the model used
is provided here, however a more comprehensive treatment
can be found elsewhere [2].
Fluid transport Density weighted transport equations
describing the conservation of mass, momentum, component mass, energy, and turbulent parameters are used to
describe fluid flow and heat transfer within the system. The
conservation of momentum and mass are coupled through
the use of the SIMPLE [3] algorithm. Turbulent closure is
accomplished with the application of the widely accepted
k-epsilon model [4].
Particle transport Particle transport can be described
using either an Eulerian or Lagrangian reference frame. The
Eulerian approach [5] assumes that particles move with
the gas flow, while the Lagrangian approach [6] allows
individual particles to follow a path that is coupled with the
flow but not necessarily coincident with it. While Lagrangian
transport can provide a more realistic representation of the
particle flow for larger particles, it is very computationally
expensive. In modeling solid fuel combustion, it is often
Fig. 1 Model for the evaluation of pulverized coal-fired combustion based upon five fundamental processes.
2
beneficial to employ a combination of both of these approaches due to the wide distribution of particle sizes. This
is accomplished by using the efficient Eulerian reference
frame for small particles, which travel with the gas, and a
Lagrangian reference frame for larger particles, which may
not flow with the gas.
The effect of fluid turbulence on particle transport is
modeled using the Lagrangian stochastic deterministic
model described by Milojevic [7]. This model utilizes the
fluctuating velocity component in addition to the mean
velocity to determine the influence of the gas flow field on
particle motion.
Homogeneous chemical reactions Gas phase
combustion involves the reaction of various gas species.
A conservation equation is solved for each gas species being modeled. An appropriate combustion model is used to
determine the mean production rate for each of the species
involved.
While various methods can be used to determine the
production rate of each species, two approaches are commonly used in the present model. The first is known as the
eddy dissipation combustion model (EDM) developed by
Magnussen and Hjertager[8]. The second approach, known
as the eddy dissipation concept (EDC), was also developed
by Magnussen [9]. The rate of combustion involves a single
step in the EDM approach which is controlled by the turbulent mixing of reactants.
In practice, the combustion process can be further limited
by including a second step to the process which involves the
moist oxidation of CO:
CO + (1/2) O2 CO2
The combustion rate for this step is limited by the minimum of the global reaction kinetic rate [10] and the rate of
turbulent mixing [8].
The second approach proposed by Magnussen [9] is the
eddy dissipation concept (EDC) which overcomes the limitation of EDM where the reaction rate is controlled simply by
turbulent mixing. The EDC model can accommodate kinetic
limited reactions such as premixed combustion and the individual rates for each reaction in a particular mechanism. The
EDC model is considerably more computationally intensive
than the EDM model and is not commonly used on routine
boiler modeling efforts.
NOx model Two methods can be used to predict the
formation and reduction of nitrogen oxides (NOx). The first
is a global NOx model used with the EDM combustion
model. The global NOx model contained in COMO can
predict both the formation and reduction of NOx. During
devolatilization, fuel-bound nitrogen is assumed to form
HCN and NH3. These species react with the flue gas and are
either oxidized to form NOx or reduced to form N2 [11]. The
formation and destruction of thermal NOx is described by
the modified Zeldovich mechanism [12]. Nitrogen released
from the burning of char is assumed to form N2 and NO.
Original Design
New Design
CCZ
Straight
182
14
(3-front/2-rear
5-front/4-rear)
Fig. 3 Velocity vectors in the lower furnace for (a) original design and (b) new design.
furnace model. The benefits of the new design, when compared with the existing arrangement, have been presented.
The knowledge gained in developing this new design will
continue to be useful in designing and developing other new
boilers and retrofits on existing units.
Conclusions
Since 1980, The Babcock & Wilcox Company has spent
considerable resources developing and maintaining a stateof-the-art comprehensive combustion model. Recent use of
this model has demonstrated how modeling can be used in
furnace design and development.
The next generation in stoker furnace air system design
has been developed with the use of this comprehensive
Acknowledgements
The authors would like to thank Scott A. Dudek and
William J. Kahle for their contribution and assistance during the preparation and interpretation of a portion of these
results.
Fig. 6 Comparison of NOx concentration for (a) original design and (b) new design.
References
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
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