The Coal Quality CICS that Increases the Wear Resistance of Heat Exchanger Tubes
Authors
Abstract
The paper discusses the threat of decommissioning of the thermal power plant (TPP) heat exchanger tubes because of erosion and develops a computer-integrated control system (COAL QUALITY CICS THAT INCREASES THE WEAR RESISTANCE OF HEAT EXCHANGER TUBES) 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 exchanger, 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. In order to investigate the effectiveness of the proposed fuzzy controller, the results were investigated in a specific example, in particular, during coal preparation and combustion in the furnace of a thermal power plant. 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, IEA, Paris. Available at: https://www.iea.org/data-and-statistics/charts/world-gross-electricity-production-by-source-2019
IEA (2022), Energy Statistics Data Browser, IEA, Paris, Available at: https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser
Mohana Rao Kadagala, Suresh Nikkam, Sunil Kumar Tripathy, “A review on flotation of coal using mixed reagent systems”, Minerals Engineering, Volume 173, 2021, 107217, ISSN 0892-6875, https://doi.org/10.1016/j.mineng.2021.107217.
M. Polat, H. Polat, S. Chander, “Physical and chemical interactions in coal flotation”, International Journal of Mineral Processing, Volume 72, Issues 1–4, 2003, 199-213, https://doi.org/10.1016/S0301-7516(03)00099-1.
Ferrer-Comalat, Joan & Linares-Mustarós, Salvador & Merigo, Jose M. & Kacprzyk, Janusz, “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, https://doi.org/10.1007/978-3-030-15413-4.
Pelykh, S.N., Maksimov, M.V. “The method of fuel rearrangement control considering fuel element cladding damage and burnup”, Problems of Atomic Science and Technology, 87(5), 2013, Kharkiv, 84-90, https://vant.kipt.kharkov.ua/TABFRAME.html.
Maksimov, M.V., Pelykh, S.N. & Gontar, R.L., “Principles of controlling fuel-element cladding lifetime in variable VVER-1000 loading regimes”, Atomic Energy; Vol. 112, Iss. 4, 2012, New York ,241–249, https://doi.org/10.1007/s10512-012-9552-3.
Wei Wang, Jizhen Liu, Zhiyong Gan, Yuguang Niu, Deliang Zeng, “Flexible control of combined heat and power units based on heat-power estimation and coordination”, International Journal of Electrical Power & Energy Systems, Volume 123, 2020, 106261, ISSN 0142-0615, https://doi.org/10.1016/j.ijepes.2020.106261.
Wen Tan, Jizhen Liu, Fang Fang, Yanqiao Chen, “Tuning of PID controllers for boiler-turbine units”, ISA Transactions, Volume 43, Issue 4, 2004, 571-583, ISSN 0019-0578, https://doi.org/10.1016/S0019-0578(07)60169-4.
Grishyn M.V., Beglov K.V. EVALUATING THE EFFECTIVENESS OF FUEL ENRICHMENT TO REDUCE THE RISK OF POWER PLANT COSTS, Včenì zapiski Tavrìjsʹkogo nacìonalʹnogo unìversitetu ìmenì V. Ì. Vernadsʹkogo. Serìâ Tehnìčnì nauki Vol. 32 (71) No. 3, 2021, 82-89, https://doi.org/10.32838/2663-5941/2021.3/14.
Dong Z, Wang R, Fan M, Fu X “Switching and optimizing control for coal flotation process based on a hybrid model”, PLoS ONE 12(10): e0186553. 2017, Southwest University, CHINA, https://doi.org/10.1371/journal.pone.0186553.
Quanzhi Tian, Hainan Wang, and Yinhai Pan, “Associations of Gangue Minerals in Coal Flotation Tailing and Their Transportation Behaviors in the Flotation Process”, ACS Omega, 7 (31), 30, 2022, New-York, 27542-27549, https://doi.org/10.1021/acsomega.2c02988.
Brunetkin, A.I., Maksimov, M.V., “The method for determination of a combustible gase composition during its combustion”, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, Vol. 5, 2015, Dnipro, 83-90, http://nvngu.in.ua/index.php/uk/arkhiv-zhurnalu/za-vipuskami/1132-2015/zmist-5-2015/tekhnologiji-energozabezpechennya/3162-metod-viznachennya-skladu-goryuchikh-gaziv-pri-jikh-spalyuvanni.
Shcheglov, Yury V; Fedorova, Natalia V; Shaforost, Dmitry A. , “The Abrasive Properties of Coal Power Plants Ash and Slag Materials”, Solid State Phenomena; Vol. 299, 2020, Zurich, 845-851, https://doi.org/10.4028/www.scientific.net/SSP.299.845.
Kocaarslan, İlhan & Çam, Ertuğrul & Tiryaki, Hasan, “A fuzzy logic controller application for thermal power plants”, Energy Conversion and Management. 47, 2006, 442-458. https://doi.org/10.1016/j.enconman.2005.05.010.
Cipriano, A.Z., “Fuzzy Predictive Control for Power Plants”, Advanced Fuzzy Logic Technologies in Industrial Applications, Advances in Industrial Control. Springer, London, 2006, 279–297. https://doi.org/10.1007/978-1-84628-469-4_19.
Maksym Ovcharenko «DTEK investuie 117 mln hrn na ekolohichnu modernizatsiiu Prydniprovsʹkoii TES», uprom.info, Available at (in Ukrainian): https://uprom.info/news/energy/dtek-investuye-117-mln-grn-na-ekologichnu-modernizatsiyu-pridniprovskoyi-tes/
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, University of California, 553-555, https://doi.org/10.1126/science.192.4239.553.
Article 10. Guarantees of citizens' environmental rights, Document 1264-XI, LAW OF UKRAINE On Environmental Protection, Available at: https://zakon.rada.gov.ua/laws/main/1264-12?lang=en#Text.
Vasilenko V.G. 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, Available at (in Ukrainian): https://mepr.gov.ua/files/docs/nakazy/2021/404%D0%BD%D0%B41.pdf.
Chugunkov, D V; Seyfelmliukova, G A; Kuzema, V P; Bogdanova, A E., “Research on structure of a 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, Iss. 1, 2019, Bristol, https://doi.org/10.1088/1742-6596/1370/1/012015.
L. Ashok Kumar, A. Kalaiarasi, Y. Uma Maheswari, Power Electronics with MATLAB, Cambridge University Press, Cambridge, 2017.
Liuping Wang, Shan Chai, Dae Yoo, Lu Gan, Ki Ng, PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink (IEEE Press), John Wiley & Sons, Inc., 2015 WestSussex
Liuping Wang, PID Control System Design and Automatic Tuning using MATLAB/Simulink: Design and Implementation using MATLAB/Simulink (IEEE Press) 1st Edition, Wiley-IEEE Press, 2020 WestSussex
M. Jamshidi, V. Kreinovich, J. Kacprzyk, “Advance trends in soft computing”, Eds. Cham: Springer-Verlag, 2013. https://doi.org/10.1007/978-3-319-03674-8
J. Kacprzyk, “Multistage Fuzzy Control: A Prescriptive Approach”, John Wiley & Sons, Inc., New York, NY, USA, 1997.
Eulalia Szmidt, Janusz Kacprzyk, "Distances between intuitionistic fuzzy sets", Fuzzy Sets and Systems, Volume 114, Issue 3, 2000, 505-518, https://doi.org/10.1016/S0165-0114(98)00244-9.
Szmidt, Eulalia & Kacprzyk, Janusz. “A consensus-reaching process under intuitionistic fuzzy preference relations”, Int. J. Intell. Syst.. 18. 2003, 837-852, https://doi.org/10.1002/int.10119.
W. Pedrycz, K. Li, M. Reformat, “Evolutionary reduction of fuzzy rule-based models”, Fifty Years of Fuzzy Logic and its Applications, STUDFUZ 326, Cham: Springer, 2015, 459-481. https://doi.org/10.1007/978-3-319-19683-1_23
Jan Jantzen, Foundations of Fuzzy Control: A Practical Approach 2nd Edition, John Wiley & Sons, Inc, WestSussex, 2013, https://doi.org/10.1002/9781118535608.
S.N. Sivanandam, S. Sumathi, S. N. Deepa, Introduction to Fuzzy Logic using MATLAB, Springer International Publishing, 2007 Berlin, https://doi.org/10.1007/978-3-540-35781-0.
Downloads
How to Cite
Copyright (c) 2024 Journal of Automation, Mobile Robotics and Intelligent Systems
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The authors wishing to publish in JAMRIS journal must sign the license to publish upon paper acceptance. The license governs in detail the commercial and non-commercial use of papers published by our journal and determines user and author rights.
