The Coal Quality CICS That Increases the Wear Resistance of Heat Exchanger Tubes

Grishyn, Maksym; Beglov, Kostiantyn

doi:10.14313/jamris/1-2024/2

Abstract

The paper discusses the threat of decommissioning to the thermal power plant (TPP) heat exchanger tubes because of erosion and develops a computer-integrated control system (CICS) for the process of distribution of steam coal flows with different indicators of abrasive materials content, which is based on fuzzy logic.

The problem of rapid decommissioning of TPP heat exchangers, particularly abrasive damage to furnace screen tubes, economizer, superheater, etc. This may indicate a discrepancy between the expected fuel ash content and the actual one, as well as a high content of abrasive impurities in steam coal.

The work aims to develop a CICS of the wear resistance of the heat exchange surface of a steam boiler of a coal-fired power plant by measuring and fuzzy control of the content of abrasive impurities in steam coal. The problems of damage to the equipment of the TPP boiler are investigated, and a system for controlling the wear resistance of the surface by automatic fuzzy control of the quality of coal is developed. The results were investigated during coal preparation and combustion in the furnace of a thermal power plant to investigate the effectiveness of the proposed fuzzy controller. The model results confirm the feasibility of the fuzzy control method for the system with different coal quality parameters.

References

IEA, “World gross electricity production by source,” 2019; https://www.iea.org/data-andstatistics/charts/world-gross-electricityproduction-by-source-2019.
Search in Google Scholar Back to article
IEA, “Energy Statistics Data Browser,” 2022; https://www.iea.org/data-and-statistics/datatools/energy-statistics-data-browser.
Search in Google Scholar Back to article
M.R. Kadagala, S. Nikkam, and S.K. Tripathy, “A Review On Flotation Of Coal Using Mixed Reagent Systems,” Minerals Engineering, vol. 173, 2021, 107217, ISSN 0892-6875, doi: 10.1016/j.mineng.2021.107217.
Search in Google Scholar Back to article
M. Polat, H. Polat, and S. Chander, “Physical And Chemical Interactions In Coal Flotation,” International Journal of Mineral Processing, vol. 72, no. 1–4, 2003, pp. 199-213, doi: 10.1016/S0301-7516(03)00099-1.
Search in Google Scholar Back to article
J. Ferrer-Comalat, S. Linares-Mustarós, J.M. Merigo, and J. Kacprzyk, “Modelling and Simulation in Management Sciences,” Proceedings of the International Conference on Modelling and Simulation in Management Sciences (MS-18): Proceedings of the International Conference on Modelling and Simulation in Management Sciences (MS-18), 2020, doi: 10.1007/978-3-030-15413-4.
Search in Google Scholar Back to article
S.N. Pelykh and M.V. Maksimov, “The Method Of Fuel Rearrangement Control Considering Fuel Element Cladding Damage And Burnup”, Problems of Atomic Science and Technology, vol. 87, no. 5, 2013, pp. 84–90, https://vant.kipt.kharkov.ua/TABFRAME.html.
Search in Google Scholar Back to article
M.V. Maksimov, S.N. Pelykh, and R.L. Gontar, “Principles Of Controlling Fuel-Element Cladding Lifetime In Variable VVER-1000 Loading Regimes”, Atomic Energy, vol. 112, no. 4, 2012, pp. 241–249, doi: 10.1007/s10512-012-9552-3.
Search in Google Scholar Back to article
W. Wang, J. Liu, Z. Gan, Y. Niu, and D. Zeng, “Flexible Control Of Combined Heat And Power Units Based On Heat-Power Estimation And Coordination”, International Journal of Electrical Power & Energy Systems, vol. 123, 2020, 106261, ISSN 0142-0615, doi: 10.1016/j.ijepes.2020.106261.
Search in Google Scholar Back to article
W. Tan, J. Liu, F. Fang, Y. Chen, “Tuning of PID Controllers For Boiler-Turbine Units”, ISA Transactions, vol. 43, no. 4, 2004, pp. 571–583, ISSN 0019-0578, doi: 10.1016/S0019-0578(07)60169-4.
Search in Google Scholar Back to article
M.V. Grishyn and K.V. Beglov, “Evaluating The Effectiveness Of Fuel Enrichment To Reduce The Risk Of Power Plant Costs,” Včenì zapiski Tavrìjs’kogo nacìonal’nogo unìversitetu ìmenì V. Ì. Vernads’kogo. Serìâ Tehnìčnì nauki, vol. 32, no. 3, 2021, pp. 82–89, doi: 10.32838/2663-5941/2021.3/14.
Search in Google Scholar Back to article
Z. Dong, R. Wang, M. Fan, and X. Fu, “Switching And Optimizing Control For Coal Flotation Process Based On A Hybrid Model,” PLoS ONE, vol. 12, no. 10, 2017, e0186553, doi: 10.1371/journal.pone.0186553.
Search in Google Scholar Back to article
Q. Tian, H. Wang, and Y. Pan, “Associations of Gangue Minerals in Coal Flotation Tailing and Their Transportation Behaviors in the Flotation Process,” ACS Omega, vol. 7, no. 31, 2022, pp. 27542–27549, doi: 10.1021/acsomega.2c02988.
Search in Google Scholar Back to article
A.I. Brunetkin and M.V. Maksimov, “The Method For Determination Of A Combustible Gase Composition During Its Combustion,” Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, vol. 5, 2015, pp. 83–90, http://nvngu.in.ua/index.php/uk/arkhivzhurnalu/za-vipuskami/1132-2015/zmist-5-2015/tekhnologiji-energozabezpechennya/3162-metod-viznachennya-skladu-goryuchikhgaziv-pri-jikh-spalyuvanni.
Search in Google Scholar Back to article
Y.V. Shcheglov, N.V. Fedorova, and D.A. Shaforost, “The Abrasive Properties of Coal Power Plants Ash and Slag Materials,” Solid State Phenomena, vol. 299, 2020, pp. 845–851, doi: 10.4028/www.scientific.net/SSP.299.845.
Search in Google Scholar Back to article
I. Kocaarslan, E. Çam, and H. Tiryaki, “A Fuzzy Logic Controller Application For Thermal Power Plants”, Energy Conversion and Management, vol. 47, 2006, pp. 442-458. doi: 10.1016/j.enconman.2005.05.010.
Search in Google Scholar Back to article
A.Z. Cipriano, “Fuzzy Predictive Control for Power Plants”, Advanced Fuzzy Logic Technologies in Industrial Applications, Advances in Industrial Control, 2006, pp. 279–297, doi: 10.1007/978-1-84628-469-4_19.
Search in Google Scholar Back to article
Y.P. Kondratenko and A.V. Kozlov, “Generation of Rule Bases of Fuzzy Systems Based on Modified Ant Colony Algorithms,” Journal of Automation and Information Sciences, vol. 51, no. 3, 2019, pp. 4–25, doi: 10.1615/JAutomatInfScien. v51.i3.20.
Search in Google Scholar Back to article
O. Kozlov, Y. Kondratenko, H. Lysiuk, V. Kryvda, and O. Maksymova, “Fuzzy Automatic Control of the Pyrolysis Process for the Municipal Solid Waste of Variable Composition,” Journal of Automation, Mobile Robotics and Intelligent Systems, vol. 16, no. 1, 2022, pp. 83–94, doi: 10.14313/JAMRIS/1-2022/9.
Search in Google Scholar Back to article
S. Satyanarayana, R.K. Sharma, Mukta and A.K. Sappa, ”Automatic Generation Control In Power Plant Using PID, PSS And Fuzzy-PID Controller,” 2014 International Conference on Smart Electric Grid (ISEG), Guntur, India, 2014, pp. 1–8, doi: 10.1109/ISEG.2014.7005618.
Search in Google Scholar Back to article
O. Kozlov, G. Kondratenko, Z. Gomolka, and Y. Kondratenko, “Synthesis and Optimization of Green Fuzzy Controllers for the Reactors of the Specialized Pyrolysis Plants,” Green IT Engineering: Social, Business and Industrial Applications, Studies in Systems, Decision and Control, V. Kharchenko, Y. Kondratenko, and J. Kacprzyk, eds., Springer, Cham, 2019, pp. 373–396, doi: 10.1007/978-3-030-00253-4_16.
Search in Google Scholar Back to article
Y.P. Kondratenko and A.V. Kozlov, “Parametric Optimization Of Fuzzy Control Systems Based On Hybrid Particle Swarm Algorithms With Elite Strategy,” Journal of Automation and Information Sciences, vol. 51, no. 12, 2019, pp. 25–45.
Search in Google Scholar Back to article
Q. Bu et al. “The Effect Of Fuzzy PID Temperature Control On Thermal Behavior Analysis And Kinetics Study Of Biomass Microwave Pyrolysis”, Journal of Analytical and Applied Pyrolysis, vol. 158, 2021, 105176, doi: 10.1016/j.jaap.2021.105176
Search in Google Scholar Back to article
X. Liu, S. Wang, and L. Xing, ”Fuzzy Self-Tuning PID Temperature Control For Biomass Pyrolysis Fluidized Bed Combustor,” 2010 2nd IEEE International Conference on Information Management and Engineering, 2010, pp. 384–387, doi: 10.1109/ICIME.2010.5477837.
Search in Google Scholar Back to article
M. Ovcharenko, “DTEK investuie 117 mln hrn na ekolohichnu modernizatsiiu Prydniprovs’koii TES,” uprom.info; https://uprom.info/news/energy/dtek-investuye-117-mln-grn-na-ekologichnu-modernizatsiyu-pridniprovskoyi-tes/ (in Ukranian).
Search in Google Scholar Back to article
G.L. Fisher, D.P.Y. Chang, and M. Brummer, “Fly Ash Collected from Electrostatic Precipitators: Microcrystal- lines Structures and the Mystery of the Spheres,” Science, vol. 192, no. 4239, 1976, pp. 553–555, doi: 10.1126/science.192.4239.553.
Search in Google Scholar Back to article
Guarantees Of Citizens’ Environmental Rights, Document 1264-XI, Article 10, Law Of Ukraine On Environmental Protection; https://zakon.rada.gov.ua/laws/main/1264-12?lang=en#Text.
Search in Google Scholar Back to article
V.G. Vasilenko, “Methodical Recommendations for Evaluation of Greenhouse Gas Emissions by Type of Activity of Facilities, Annex to the Order of the Ministry of Environmental Protection and Natural Resources of Ukraine on Approval of Methodical Recommendations for Evaluation of Greenhouse Gas Emissions by Type of Activity of Facilities №404,” 2021, https://mepr.gov.ua/files/docs/nakazy/2021/404%D0%BD%D0%B41.pdf (in Ukranian).
Search in Google Scholar Back to article
D.V. Chugunkov, G.A. Seyfelmliukova, V.P. Kuzema, and A.E. Bogdanova, “Research on structure of ash-slag pulp and its influence on pipelines’ attrition of a thermal power plants’ hydraulic ash removal system,” Journal of Physics: Conference Series, vol. 1370, no. 1, 2019, doi: 10.1088/1742-6596/1370/1/012015.
Search in Google Scholar Back to article
L.A. Kumar, A. Kalaiarasi, and Y.U. Maheswari, Power Electronics with MATLAB, Cambridge University Press, 2017.
Search in Google Scholar Back to article
L. Wang, S. Chai, D. Yoo, L. Gan, and K. Ng, “PID and Predictive Control of Electrical Drives and Power Converters using MATLAB/Simulink,” IEEE Press, 2015.
Search in Google Scholar Back to article
L. Wang, “PID Control System Design and Automatic Tuning using MATLAB/Simulink: Design and Implementation using MATLAB/Simulink,” IEEE Press, 2020.
Search in Google Scholar Back to article
M. Jamshidi, V. Kreinovich, and J. Kacprzyk, Advance Trends In Soft Computing, Springer, 2013. doi: 10.1007/978-3-319-03674-8.
Search in Google Scholar Back to article
J. Kacprzyk, Multistage Fuzzy Control: A Prescriptive Approach, John Wiley & Sons Inc., 1997.
Search in Google Scholar Back to article
E. Szmidt and J. Kacprzyk, ”Distances between intuitionistic fuzzy sets,” Fuzzy Sets and Systems, vol. 114, no. 3, 2000, pp. 505–518, doi: 10.1016/S0165-0114(98)00244-9.
Search in Google Scholar Back to article
E. Szmidt and J. Kacprzyk. “A Consensus- Reaching Process Under Intuitionistic Fuzzy Preference Relations”, International Journal of Intelligent System, vol. 18, 2003, pp. 837–852, doi: 10.1002/int.10119.
Search in Google Scholar Back to article
W. Pedrycz, K. Li, and M. Reformat, “Evolutionary Reduction Of Fuzzy Rule-Based Models,” Fifty Years of Fuzzy Logic and its Applications, Springer, 2015, pp. 459–481, doi: 10.1007/978-3-319-19683-1_23.
Search in Google Scholar Back to article
J. Jantzen, Foundations of Fuzzy Control: A Practical Approach, 2nd ed., John Wiley & Sons Inc, 2013, doi: 10.1002/9781118535608.
Search in Google Scholar Back to article
S.N. Sivanandam, S. Sumathi, and S. N. Deepa, Introduction to Fuzzy Logic using MATLAB, Springer International Publishing, 2007, doi: 10.1007/978-3-540-35781-0.
Search in Google Scholar Back to article

The Coal Quality CICS That Increases the Wear Resistance of Heat Exchanger Tubes

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