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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1167
REVIEW ON METHODOLOGY OF FURNACE BURNER DESIGN FOR
THERMAL POWER PLANT USING CFD AND IT’S OPTIMIZATION
Mr Sachin Shantaram Patil1, Dr Manoj K Chopra2
1PG Student, RKDF Institute of Science and Technology Bhopal
2Professor, Head of Department, Dept. of Mechanical Engineering,
RKDF Institute of Science and Technology Bhopal
-------------------------------------------------------------------------***------------------------------------------------------------------------
Abstract - The furnace burner is designedandanalysisis
done to perform for different key parameters like burner
velocity, burner angle, burner size and its configuration.The
analysis of the above parameters are combined for the best
combination of parameters with the objective function to
maximize mixing efficiency in the burner which ultimately
produces efficient combustion and reduces the losses in the
mixing stage. The efficient combination of parameters
produces cost saving design for better performance of
overall plant.
The base design can be studied for different design
parameters with objective function of increasing the
turbulence intensity which may directly enhances the flame
stability for proper mixing of fuel and air which leads to
better combustion efficiency
Key Words: Boiler, Furnace Computational fluid
dynamic, efficiency, burner
1. INTRODUCTION
Thermal power plants are oneofthe mostimportantprocess
industries for engineering professionals. Over the past few
decades, the power sector has been facing a number of
critical issues. However, the most fundamental challenge is
meeting the growing power demand in sustainable and
efficient ways. Practicing power plant engineers not only
look after operation and maintenance of the plant, but also
look after a range of activities, including research and
development, starting from power generation, to
environmental assessment of power plants.
In thermal power plant, the chemical energy stored in fossil
fuels such as coal, fuel oil, natural gas is converted
successively into thermal energy, mechanical energy and
finally electrical energy for continuous use and distribution
across a wide geographic area. In the Rankine cycle, high
pressure and high temperature steam raised in a boiler is
expanded through a steam turbine that drives an electric
generator.
It is a competitive resource of energy amongst the other
sources of fossil fuel and renewable energies. On the other
hand, it has a major contribution to the greenhouse gases
(GHGs) emissions and global warming. Based on this
disadvantage from the brown coal utilization, innovations
and research on the brown coal combustion in tangentially-
fired furnaces can play an important role to develop this
economical energy source.[1]
In order to design such efficient, clean, and
economical brown coal combustion systems, the
understanding of the brown coal reactivity and behavior
under different operating conditions is required. Generally,
brown coal has a number of advantages such as abundance,
low-cost, high reactivity, and low sulphur content.Indespite
of these benefits, a high moisture content (about 60-70%
wt.) is the major disadvantage of brown coal.
However, in the existingpulverizedbrowncoal (PC)
tangentially-fired boiler, a large amount of the hot exit flue
gas, typically 50% of the total flue gas generated is reused to
dry the brown coal within the mill-duct system. During that
drying process by the hot gas off-takes (HGOTs), a large
amount of water vapor is reproduced as well In order to
avoid any flame stability problems inside the combustion
chamber, due to that evaporated steam, a fuel-rich mixture
(mainly pulverized coal) is passed through the main burner
ducts. Whilst a fuel-lean mixture, including water vapor,
inert gases, and remaining of PC, is delivered to the inert
burner ducts (upper burners).
Computational fluid dynamics (CFD) modeling
studies can comprehensively provide a wide range of
information for the design of furnace and burner that can
reduce the cost of time-consuming experimental
investigations. The CFD has the ability to predict well the
flame structure, gas temperatures distributions, chemical
species concentrations, radioactive heat transfer etc., under
different combustion conditions.
Pulverized coal tangentially fired furnaces are used
extensively in power generation worldwideduetoa number
of their advantages, like uniform heat flux to the furnace
walls and NOx emission lower than in other firing types.
Further study of the furnaces is needed by bothexperiments
and simulations. While full-scale measurements are
restricted by considerably high expenses, numerical
simulation provides a cost-effective and powerful
engineering tool, complementing experimental
investigations.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1168
Figure -1 Central vortex & four corner burner’s furnace
configuration
Because of the peculiar aerodynamics of the tangentially
fired furnaces, the flow inside the furnaces, as well as the
combustion processes were found to be complicated for
modeling. Still, comprehensive combustion large-scale
tangentially fired furnaces, based on numerical solution of
three-dimensional differential conservation equations,have
been the subject of many investigations. The majority use
variations of the SIMPLE algorithm and the k–e gas
turbulence model, or some derivatives, like RNG k–e model
or k–e–kp two phase turbulence model. Gas phase
conservation equations are mostly time-averaged. A two-
phase flow is usually described by Eulerian– Lagrangian
approach and PSI-Cell method for coupling of phases, with
some exceptions using Eulerian–Eulerian approach, or two-
fluid trajectory model. Most of the combustion submodels
given in treat particle devolatilization, char oxidation and
additional gas phase reactions separately.Thermal radiation
in the furnace is modeled by means of various approaches,
like discrete transfermethod,discreteordinatesmethod, six-
fluxes method, Monte Carlo method andP-1model.Although
commercial codes are applied successfully, research efforts
are still given worldwide to specially developed
comprehensive models of the furnaces.
2. MOTIVATION
The performance of the Burner affects the overall
performance of thecombined-cyclepowerplant.Anaccurate
simulation of the performance of the Burner is required to
study its effect on the entire system. Use of computational
fluid dynamics (CFD) as a tool to analyzetheflowindifferent
designs, it is clear that CFD has the potential to become a
useful tool to validate the performance of the tangentially
fired burner, and to make some design changes to it. The
successful utilization of CFD as a tool in the design of the
Burner also performance on flame stability. This
can be done only when the CFD tools are appropriately appli
ed and validated using approachesandexperimental results
that accurately represent the flow and physics in the
components of the equipments being modeled.
3. PROBLEM DEFINITION
• To design and optimize the furnace burner for
600MW plant
• To investigate the vortex strength of tangentially
fired boiler, sustains the flame propagation for
efficient combustion
• To investigate the effect of the following important
parameters on vortex formation
– Burner Angle
– Inlet Velocity
– Burner Size
4. METHODOLOGY
1. Modeling- Mathematical and numerical model
2. Turbulence Modeling
3. Burner model- geometrical and flow parameters of
burner
4. Preprocessing- Grid generation
5. Experimental validation with numerical data
6. ANSYS Fluent- for CFD analysis of PC fired furnace
5. EXPECTED OUTCOME
The furnace burner will design and analysis will perform for
different key parameters like burner velocity, burner angle,
burner size and its configuration. The analysis of the above
parameters will combine for the best combination of
parameters with the objective function to maximize mixing
efficiency in the burner which ultimately produces efficient
combustion and reduces the losses in the mixing stage. The
efficient combinationofparametersmayproducecostsaving
design for better performance of overall plant.
ACKNOWLEDGEMENT
I thanks from the bottom of my heart to Prof M. K. Chopra,
Head of department, RKDF Institute of science and
technology, who has been a great source of moral andtimely
support for completing the paper work I would like to thank
our Principal Sir for his warm support.
REFERENCES
[1] Srdjan Belosevic, Miroslav Sijercic, Simeon Oka,
Dragan Tucakovic, “Three-dimensional modelingof
utility boiler pulverized coaltangentially fired
furnace” International Journal of Heat and Mass
Transfer 49 (2006) 3371–3378.
[2] E. Karampinis, N. Nikolopoulos, A. Nikolopoulos, P.
Grammelis, E. Kakaras, “Numerical investigation
Greek lignite/cardoon co-firing in a
tangentiallyfiredfurnace”,AppliedEnergy97(2012)
514–524.
[3] Yuegui Zhou, TongmoXu, ShienHui,
MingchuanZhang [2009],“Experimental and
numerical study on the flow fields in upper furnace
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1169
for large scale tangentially fired boilers”Applied
Thermal Engineering 29 (2009) 732–739.
[4] Audai Hussein Al-Abbas, Jamal Naser, David Dodds,
“CFD modeling of air-fired and oxy-fuel combustion
in a large-scale furnace at Loy Yang A brown coal
power station” Fuel 102 (2012) 646–665.
[5] Tharayil James Joseph, Devendra Sing Thapa, Mit
Patel,“Reviewoncombustionoptimizationmethods
in pulverized coal fired boiler”. 2017IJEDR|Volume
5, Issue 3 |ISSN:2321-9939.
[6] Boshu He, Meiqian Chen, Qiumei Yu, Shumin Liu,
LijuanFan,“Numerical study of the optimum
counter-flow mode of air jets in a large utility
furnace”Computers & Fluids 33 (2004)1201–1223.
[7] Choeng Ryul Choi, Chang Nyung Kim, “Numerical
investigation on the flow, combustion and
NOxemissioncharacteristics in a 500 MWe
tangentially fired pulverized-coal boiler” fuel 88
(2009) 1720-1731.
[8] Cristiano V. da Silva, Maria Luiza S. Indrusiak,
Arthur B. Beskow,“CFD Analysis of the Pulverized
Coal Combustion Processes in a 160 MWe
Tangentially-Fired-Boiler of a Thermal Power
Plant.” Journal of the Braz. Society of Mechanical
Science&Enginnering(2010) 427-436.
[9] Aruna Devadiga, Prof. Dr. T.
NageswaraRao,“Optimizing Bunsen burner
Performance Using CFD Analysis”, IJMER (2013)
2773-2785.
[10] Ryoichi Kurose , Hisao Makino and Akira Suzuki,
Numerical Analysis Of Pulverized Coal
Combustion Characteristics Using Advanced Low-
NOx Burner

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IRJET- Review on Methodology of Furnace Burner Design for Thermal Power Plant using CFD and it’s Optimization

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1167 REVIEW ON METHODOLOGY OF FURNACE BURNER DESIGN FOR THERMAL POWER PLANT USING CFD AND IT’S OPTIMIZATION Mr Sachin Shantaram Patil1, Dr Manoj K Chopra2 1PG Student, RKDF Institute of Science and Technology Bhopal 2Professor, Head of Department, Dept. of Mechanical Engineering, RKDF Institute of Science and Technology Bhopal -------------------------------------------------------------------------***------------------------------------------------------------------------ Abstract - The furnace burner is designedandanalysisis done to perform for different key parameters like burner velocity, burner angle, burner size and its configuration.The analysis of the above parameters are combined for the best combination of parameters with the objective function to maximize mixing efficiency in the burner which ultimately produces efficient combustion and reduces the losses in the mixing stage. The efficient combination of parameters produces cost saving design for better performance of overall plant. The base design can be studied for different design parameters with objective function of increasing the turbulence intensity which may directly enhances the flame stability for proper mixing of fuel and air which leads to better combustion efficiency Key Words: Boiler, Furnace Computational fluid dynamic, efficiency, burner 1. INTRODUCTION Thermal power plants are oneofthe mostimportantprocess industries for engineering professionals. Over the past few decades, the power sector has been facing a number of critical issues. However, the most fundamental challenge is meeting the growing power demand in sustainable and efficient ways. Practicing power plant engineers not only look after operation and maintenance of the plant, but also look after a range of activities, including research and development, starting from power generation, to environmental assessment of power plants. In thermal power plant, the chemical energy stored in fossil fuels such as coal, fuel oil, natural gas is converted successively into thermal energy, mechanical energy and finally electrical energy for continuous use and distribution across a wide geographic area. In the Rankine cycle, high pressure and high temperature steam raised in a boiler is expanded through a steam turbine that drives an electric generator. It is a competitive resource of energy amongst the other sources of fossil fuel and renewable energies. On the other hand, it has a major contribution to the greenhouse gases (GHGs) emissions and global warming. Based on this disadvantage from the brown coal utilization, innovations and research on the brown coal combustion in tangentially- fired furnaces can play an important role to develop this economical energy source.[1] In order to design such efficient, clean, and economical brown coal combustion systems, the understanding of the brown coal reactivity and behavior under different operating conditions is required. Generally, brown coal has a number of advantages such as abundance, low-cost, high reactivity, and low sulphur content.Indespite of these benefits, a high moisture content (about 60-70% wt.) is the major disadvantage of brown coal. However, in the existingpulverizedbrowncoal (PC) tangentially-fired boiler, a large amount of the hot exit flue gas, typically 50% of the total flue gas generated is reused to dry the brown coal within the mill-duct system. During that drying process by the hot gas off-takes (HGOTs), a large amount of water vapor is reproduced as well In order to avoid any flame stability problems inside the combustion chamber, due to that evaporated steam, a fuel-rich mixture (mainly pulverized coal) is passed through the main burner ducts. Whilst a fuel-lean mixture, including water vapor, inert gases, and remaining of PC, is delivered to the inert burner ducts (upper burners). Computational fluid dynamics (CFD) modeling studies can comprehensively provide a wide range of information for the design of furnace and burner that can reduce the cost of time-consuming experimental investigations. The CFD has the ability to predict well the flame structure, gas temperatures distributions, chemical species concentrations, radioactive heat transfer etc., under different combustion conditions. Pulverized coal tangentially fired furnaces are used extensively in power generation worldwideduetoa number of their advantages, like uniform heat flux to the furnace walls and NOx emission lower than in other firing types. Further study of the furnaces is needed by bothexperiments and simulations. While full-scale measurements are restricted by considerably high expenses, numerical simulation provides a cost-effective and powerful engineering tool, complementing experimental investigations.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1168 Figure -1 Central vortex & four corner burner’s furnace configuration Because of the peculiar aerodynamics of the tangentially fired furnaces, the flow inside the furnaces, as well as the combustion processes were found to be complicated for modeling. Still, comprehensive combustion large-scale tangentially fired furnaces, based on numerical solution of three-dimensional differential conservation equations,have been the subject of many investigations. The majority use variations of the SIMPLE algorithm and the k–e gas turbulence model, or some derivatives, like RNG k–e model or k–e–kp two phase turbulence model. Gas phase conservation equations are mostly time-averaged. A two- phase flow is usually described by Eulerian– Lagrangian approach and PSI-Cell method for coupling of phases, with some exceptions using Eulerian–Eulerian approach, or two- fluid trajectory model. Most of the combustion submodels given in treat particle devolatilization, char oxidation and additional gas phase reactions separately.Thermal radiation in the furnace is modeled by means of various approaches, like discrete transfermethod,discreteordinatesmethod, six- fluxes method, Monte Carlo method andP-1model.Although commercial codes are applied successfully, research efforts are still given worldwide to specially developed comprehensive models of the furnaces. 2. MOTIVATION The performance of the Burner affects the overall performance of thecombined-cyclepowerplant.Anaccurate simulation of the performance of the Burner is required to study its effect on the entire system. Use of computational fluid dynamics (CFD) as a tool to analyzetheflowindifferent designs, it is clear that CFD has the potential to become a useful tool to validate the performance of the tangentially fired burner, and to make some design changes to it. The successful utilization of CFD as a tool in the design of the Burner also performance on flame stability. This can be done only when the CFD tools are appropriately appli ed and validated using approachesandexperimental results that accurately represent the flow and physics in the components of the equipments being modeled. 3. PROBLEM DEFINITION • To design and optimize the furnace burner for 600MW plant • To investigate the vortex strength of tangentially fired boiler, sustains the flame propagation for efficient combustion • To investigate the effect of the following important parameters on vortex formation – Burner Angle – Inlet Velocity – Burner Size 4. METHODOLOGY 1. Modeling- Mathematical and numerical model 2. Turbulence Modeling 3. Burner model- geometrical and flow parameters of burner 4. Preprocessing- Grid generation 5. Experimental validation with numerical data 6. ANSYS Fluent- for CFD analysis of PC fired furnace 5. EXPECTED OUTCOME The furnace burner will design and analysis will perform for different key parameters like burner velocity, burner angle, burner size and its configuration. The analysis of the above parameters will combine for the best combination of parameters with the objective function to maximize mixing efficiency in the burner which ultimately produces efficient combustion and reduces the losses in the mixing stage. The efficient combinationofparametersmayproducecostsaving design for better performance of overall plant. ACKNOWLEDGEMENT I thanks from the bottom of my heart to Prof M. K. Chopra, Head of department, RKDF Institute of science and technology, who has been a great source of moral andtimely support for completing the paper work I would like to thank our Principal Sir for his warm support. REFERENCES [1] Srdjan Belosevic, Miroslav Sijercic, Simeon Oka, Dragan Tucakovic, “Three-dimensional modelingof utility boiler pulverized coaltangentially fired furnace” International Journal of Heat and Mass Transfer 49 (2006) 3371–3378. [2] E. Karampinis, N. Nikolopoulos, A. Nikolopoulos, P. Grammelis, E. Kakaras, “Numerical investigation Greek lignite/cardoon co-firing in a tangentiallyfiredfurnace”,AppliedEnergy97(2012) 514–524. [3] Yuegui Zhou, TongmoXu, ShienHui, MingchuanZhang [2009],“Experimental and numerical study on the flow fields in upper furnace
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1169 for large scale tangentially fired boilers”Applied Thermal Engineering 29 (2009) 732–739. [4] Audai Hussein Al-Abbas, Jamal Naser, David Dodds, “CFD modeling of air-fired and oxy-fuel combustion in a large-scale furnace at Loy Yang A brown coal power station” Fuel 102 (2012) 646–665. [5] Tharayil James Joseph, Devendra Sing Thapa, Mit Patel,“Reviewoncombustionoptimizationmethods in pulverized coal fired boiler”. 2017IJEDR|Volume 5, Issue 3 |ISSN:2321-9939. [6] Boshu He, Meiqian Chen, Qiumei Yu, Shumin Liu, LijuanFan,“Numerical study of the optimum counter-flow mode of air jets in a large utility furnace”Computers & Fluids 33 (2004)1201–1223. [7] Choeng Ryul Choi, Chang Nyung Kim, “Numerical investigation on the flow, combustion and NOxemissioncharacteristics in a 500 MWe tangentially fired pulverized-coal boiler” fuel 88 (2009) 1720-1731. [8] Cristiano V. da Silva, Maria Luiza S. Indrusiak, Arthur B. Beskow,“CFD Analysis of the Pulverized Coal Combustion Processes in a 160 MWe Tangentially-Fired-Boiler of a Thermal Power Plant.” Journal of the Braz. Society of Mechanical Science&Enginnering(2010) 427-436. [9] Aruna Devadiga, Prof. Dr. T. NageswaraRao,“Optimizing Bunsen burner Performance Using CFD Analysis”, IJMER (2013) 2773-2785. [10] Ryoichi Kurose , Hisao Makino and Akira Suzuki, Numerical Analysis Of Pulverized Coal Combustion Characteristics Using Advanced Low- NOx Burner