ANN-weighted Distance Grey Wolf Optimizer for NOx Emission Optimization in Coal Fired Boilers of a Thermal Power Plant
Received: 15 May 2024 | Revised: 29 May 2024 | Accepted: 31 May 2024 | Online: 7 June 2024
Corresponding author: Mahmad Raphiyoddin Shaphiyoddin Malik
Abstract
This research work suggests the application of predictive modeling for the Nitrogen Oxide (NOx) emissions from the 210 MW pulverized boiler that burns coal. In order to lower the NOx emissions in the flue gas, it is necessary to optimize various operational parameters during combustion, including oxygen in flue gas, various damper opening positions, air-distribution system, nozzle tilt, and the temperature of the flue gas outlet. Information gathered from variable parametric field tests was used to create an Artificial Neural Network (ANN) model. The model estimated NOx emissions based on the parameters of coal combustion. The ANN model was put to the test under full load conditions and the results of its predictions were compared to the actual values. The trained ANN with its biases and weights in the form of arithmetical equations was given as a fitness function to the weighted distance Grey Wolf Optimizer (GWO) to improve operating conditions for decreased NOx emissions.
Keywords:
Thermal Power Plant, Air Pollution, Weighted Distance Grey Wolf Optimizer, Artificial Neural NetworksDownloads
References
A. Alanazi, "Optimization of Concentrated Solar Power Systems with Thermal Storage for Enhanced Efficiency and Cost-Effectiveness in Thermal Power Plants," Engineering, Technology & Applied Science Research, vol. 13, no. 6, pp. 12115–12129, Dec. 2023.
L. Bebar, V. Kermes, P. Stehlik, J. Canek, and J. Oral, "Low NOx burners—prediction of emissions concentration based on design, measurements and modelling," Waste Management, vol. 22, no. 4, pp. 443–451, Jul. 2002.
T. P. Meikandaan, M. Hemapriya, and V. Vidhya, "NOx Emission Analysis in Flue Gas of Coal Fired Thermal Power Station and it’s Control Measure," International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 12S, pp. 1195–1201, Dec. 2019.
J. S. Khan, S. Khoso, Z. Iqbal, S. Sohu, and M. A. Keerio, "An Outlook of Ozone Air Pollution through Comparative Analysis of Artificial Neural Network, Regression, and Sensitivity Models," Engineering, Technology & Applied Science Research, vol. 8, no. 5, pp. 3387–3391, Oct. 2018.
H. Chen and Z. Liang, "Damper opening optimization and performance of a co-firing boiler in a 300 MWe plant," Applied Thermal Engineering, vol. 123, pp. 865–873, Aug. 2017.
P. Ilamathi, V. Selladurai, and K. Balamurugan, "A novel approach for modelling of NOx emission reduction in a tangentially fired coal boiler," International Journal of Oil, Gas and Coal Technology, vol. 6, no. 4, pp. 449–461, Jan. 2013.
M. Madhiarasan and M. Louzazni, "Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications," Journal of Electrical and Computer Engineering, vol. 2022, Apr. 2022, Art. no. e5416722.
S. Mirjalili, S. M. Mirjalili, and A. Lewis, "Grey Wolf Optimizer," Advances in Engineering Software, vol. 69, pp. 46–61, Mar. 2014.
D. Doufene, S. Benharat, S. Bouazabia, and S. A. Bessedik, "Hybrid Grey Wolf and Finite Element Method (GWO-FEM) Algorithm for Enhancing High Voltage Insulator String Performance in Wet Pollution Conditions," Engineering, Technology & Applied Science Research, vol. 12, no. 3, pp. 8765–8771, Jun. 2022.
M. R. S. Malik, E. R. Mohideen, and L. Ali, "Weighted distance Grey wolf optimizer for global optimization problems," in 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Madurai, India, Dec. 2015, pp. 1–6.
M. R. S. Malik and E. R. Mohideen, "Swarm Based Control Strategies For Air Pollution And Electricity Production By Multiobjective Optimization," Nature Environment and Pollution Technology, vol. 16, no. 2, pp. 409–417, 2017.
H. Zhou, K. Cen, and J. Fan, "Multi‐objective optimization of the coal combustion performance with artificial neural networks and genetic algorithms," International Journal of Energy Research, vol. 29, no. 6, pp. 499–510, May 2005.
C.-L. Cheng, Shalabh, and G. Garg, "Coefficient of determination for multiple measurement error models," Journal of Multivariate Analysis, vol. 126, pp. 137–152, Apr. 2014.
Downloads
How to Cite
License
Copyright (c) 2024 Mahmad Raphiyoddin Shaphiyoddin Malik, Viswambaran Saraswati Priya
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
