A Hybrid Technique for the Performance Optimization in the Combustion Process of a Power Plant Boiler: An Efficient ANNSSA Technique
DOI:
https://doi.org/10.13052/dgaej2156-3306.3615Keywords:
Artificial neural network, Salp swarm optimization, air to fuel ratio, Boiler combustion system.Abstract
In this paper presents a hybrid method for optimization process of combustion in power plant boiler. ANSSA scheme will be joint implementation
of Artificial Neural Network (ANN) as well as Salp Swarm Optimization
Algorithm (SSA) known ANNSSA. Here, ANN training process will be
enhanced by using the SSA calculating. The optimization of economic
parameters reduces excess air level and performs combustion efficiency at
boiler system. Due to the operation of service boiler, oxygen content of
flue gases is one of the significant factors which influence the efficiency of
boiler, and influence each other to other thermal parameters of economic like
temperature of flue gases combustion, unburned carbon at fly ash slag and
consumption of coal power supply. The combustion performance denotes a saving at operating costs of boiler. ANNSSA method evolved for process
of combustion to enhance the implementation and efficiency of the power
plant boiler. At that time, ANNSSA technique is implemented at MATLAB/Simulink work platform as well as implementation is evaluated using
existing techniques.
Downloads
References
J. Luo, L. Wu, and W. Wan, ‘Optimization of the Exhaust Gas Oxygen
Content for Coal-fired Power Plant Boiler’. Energy Procedia. vol. 105,
pp. 3262–3268, 2017.
M. Pouraghaie, K. Atashkari, S. Besarati, and N. Nariman-zadeh, ‘Thermodynamic performance optimization of a combined power/cooling
cycle’. Energy Conversion and Management. vol. 51, pp. 204–211,
Y. Zheng, Z. Dong, F. Luo, K. Meng, J. Qiu, and K. Wong, ‘Optimal
Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations’. IEEE Transactions on Power
Systems. vol. 29, pp. 212–220 2014.
J. Song, Y. Song, and C. Gu, ‘Thermodynamic analysis and performance
optimization of an Organic Rankine Cycle (ORC) waste heat recovery
system for marine diesel engines’. Energy. vol. 82, pp. 976–985, 2015.
P. V. Narendra Kumar et al.
A. Nguyen, S. Reiter, and P. Rigo, ‘A review on simulation-based optimization methods applied to building performance analysis’. Applied
Energy. vol. 113, pp. 1043–1058, 2014.
Y. Kim, K. Thu, H. Bhatia, C. Bhatia, and K. Ng, ‘Thermal analysis
and performance optimization of a solar hot water plant with economic
evaluation’. Solar Energy. vol. 86, pp. 1378–1395, 2012.
H. Santoso, Y. Nazaruddin, and F. Muchtadi, ‘Boiler Performance Optimization using Fuzzy Logic Controller’. IFAC Proceedings Volumes.
vol. 38, pp. 308–313, 2005.
A. Vandani, M. Bidi, and F. Ahmadi, ‘Exergy analysis and evolutionary
optimization of boiler blowdown heat recovery in steam power plants’.
Energy Conversion and Management. vol. 106, pp. 1–9, 2015.
A. Ghorbani, and B. Bazooyar, ‘Optimization of the combustion of
SOME (soybean oil methyl ester), B5, B10, B20 and petrodiesel in a
semi industrial boiler’. Energy. vol. 44, pp. 217–227, 2012.
P. Regulagadda, I. Dincer, and G. Naterer, ‘Exergy analysis of a thermal
power plant with measured boiler and turbine losses’. Applied Thermal
Engineering. vol. 30, pp. 970–976, 2010.
S. Espatolero, C. Cortes, and L. Romeo, ‘Optimization of boiler cold- ´
end and integration with the steam cycle in supercritical units’. Applied
Energy. vol. 87, pp. 1651–1660, 2010.
Y. Gu, W. Zhao, and Z. Wu, ‘Online adaptive least squares support vector machine and its application in utility boiler combustion optimization
systems’. Journal of Process Control. vol. 21, pp. 1040–1048, 2011.
Y. Shi, J. Wang, and Z. Liu, ‘On-line monitoring of ash fouling and sootblowing optimization for convective heat exchanger in coal-fired power
plant boiler’. Applied Thermal Engineering. vol. 78, pp. 39–50, 2015.
D. Strusnik, and J. Avsec, ‘Artificial neural networking and fuzzy logic ˇ
exergy controlling model of combined heat and power system in thermal
power plant’. Energy. vol. 80, pp. 318–330, 2015.
G. Xu, S. Huang, Y. Yang, Y. Wu, K. Zhang, C. Xu, ‘Techno-economic
analysis and optimization of the heat recovery of utility boiler flue gas’.
Applied Energy. 112, 907–917 (2013).
J. Song, C. Romero, Z. Yao, and B. He, ‘Improved artificial bee colonybased optimization of boiler combustion considering NO emissions,
heat rate and fly ash recycling for on-line applications’. Fuel. vol. 172,
pp. 20–28, 2016.
A Hybrid Technique for the Performance Optimization 93
X. Wu, J. Shen, Y. Li, and K. Lee, ‘Hierarchical optimization of
boiler–turbine unit using fuzzy stable model predictive control.’ Control
Engineering Practice. vol. 30, pp. 112–123, 2014.
H. Hajabdollahi, A. Ganjehkaviri, and M. Jaafar, ‘Assessment of new
operational strategy in optimization of CCHP plant for different climates
using evolutionary algorithms’. Applied Thermal Engineering. vol. 75,
pp. 468–480, 2015.
S. Javan, P. Ahmadi, H. Mansoubi, and M. Jaafar, ‘Exergoeconomic
Based Optimization of a Gas Fired Steam Power Plant Using Genetic
Algorithm’. Heat Transfer-Asian Research. vol. 44, pp. 533–551, 2014.
L. Ma, Q. Fang, P. Tan, C. Zhang, G. Chen, D. Lv, X. Duan, and Y.
Chen, ‘Effect of the separated overfire air location on the combustion
optimization and NO reduction of a 600 MW FW down-fired utility
boiler with a novel combustion system’. Applied Energy. vol. 180,
pp. 104–115, 2016.
T. Gulotta, F. Guarino, M. Cellura, and G. Lorenzini, ‘A Constructal
Law optimization of a boiler inspired by Life Cycle thinking’. Thermal
Science and Engineering Progress. vol. 6, pp. 380–387, 2018.
N. Pambudi, M. Fasola, L. Perdana, R. Laurensia, D. Wijayanto, M.
Imran, and L. Saw, ‘Performance evaluation and optimization of fluidized bed boiler in ethanol plant using irreversibility analysis’. Case
Studies in Thermal Engineering. vol. 10, pp. 283–291, 2017.
M. Zhang, C. Xu, X. Du, M. Amjad, and D. Wen, ‘Off-design performance of concentrated solar heat and coal double-source boiler power
generation with thermocline energy storage’. Applied Energy. vol. 189,
pp. 697–710, 2017.
K. Ellingwood, S. Safdarnejad, K. Rashid, and K. Powell, ‘Leveraging
Energy Storage in a Solar-Tower and Combined Cycle Hybrid Power
Plant.’ Energies. vol. 12, p. 40, 2018.
M. Akbari Vakilabadi, M. Bidi, and A. Najafi, ‘Energy, Exergy analysis
and optimization of solar thermal power plant with adding heat and
water recovery system’. Energy Conversion and Management. vol. 171,
pp. 1639–1650, 2018.
F. de Mello, A. da Cruz, and R. de Sousa, ‘Fuzzy Control Applied to
Combustion in Sugarcane Bagasse Boilers’. Computer Aided Chemical
Engineering. pp. 1135–1141, 2019.
J. Xu, Y. Gu, and S. Ma, ‘Data based online operational performance
optimization with varying work conditions for steam-turbine system’.
Applied Thermal Engineering. vol. 151, pp. 344–353, 2019.
P. V. Narendra Kumar et al.
U. Ibrahim, and S. Farrukh, ‘Optimization of Fuel in Saturated Steam
Boiler through Preheating of Controlled Air-Fuel Mixture’. 2019 2nd
International Conference on Computing, Mathematics and Engineering
Technologies (iCoMET). 2019.
C. Wang, Y. Qiao, M. Liu, Y. Zhao, and J. Yan, ‘Enhancing peak shaving
capability by optimizing reheat-steam temperature control of a doublereheat boiler’. Applied Energy. vol. 260, pp. 114341, 2020.
I. Chew, F. Wong, A. Bono, J. Nandong, and K. Wong, ‘Computational
Optimization Analysis of Feedforward plus Feedback Control Scheme
for Boiler System.’ Lecture Notes in Electrical Engineering. pp. 97–106,
K. Vimala Kumar, and V. Ganesh, ‘Fuzzy Based Fractional Order
Integer Controller for LFC of Multi Area Deregulated Power System.’
Lecture Notes in Electrical Engineering. vol. 0, pp. 223–246, 2019.
Y. Zhang, B. Decardi-Nelson, J. Liu, J. Shen, and J. Liu, ‘Zone
economic model predictive control of a coal-fired boiler-turbine generating system’. Chemical Engineering Research and Design. vol. 153,
pp. 246–256, 2020.
L. Morales Escobar, and J. Aguilar, A. Garces-Jimenez, J. Gutierrez De
Mesa, J. Gomez-Pulido, ‘Advanced Fuzzy-Logic-Based Context-Driven
Control for HVAC Management Systems in Buildings.’ IEEE Access.
vol. 8, pp. 16111–16126, 2020.
P. Sahu, R. Prusty, and B. Sahoo, ‘Modified sine cosine algorithm-based
fuzzy-aided PID controller for automatic generation control of multiarea
power systems.’ Soft Computing. 2020.
H. Fan, Z. Su, P. Wang, and K. Lee, ‘A dynamic mathematical model for
once-through boiler-turbine units with superheated steam temperature.’
Applied Thermal Engineering. vol. 170, pp. 114912, 2020.
F. Hajabdollahi, Z. Hajabdollahi, and H. Hajabdollahi, ‘Soft computing
based multi-objective optimization of steam cycle power plant using
NSGA-II and ANN’. Applied Soft Computing. vol. 12, pp. 3648–3655,
S. Mirjalili, A. Gandomi, S. Mirjalili, S. Saremi, H. Faris, and S.
Mirjalili, ‘Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems’. Advances in Engineering Software. vol. 114,
pp. 163–191, 2017.
