Mathematical modelling of thermal processes by the use of regression and neural models

• Autorzy: Rusinowski H. , Plis M.

Identyfikatory

DOI

10.1515/aoter-2018-0023

• Języki publikacji: EN

Abstrakty

EN

The paper presents a description of used methods and exemplary mathematical models which are classified into theoretical-empirical models of thermal processes. Such models encompass equations resulting from the laws of physics and additional empirical functions describing processes for which analytical models are complex and difficult to develop. The principle of developing, advantages and disadvantages of presented models as well as quality prediction assessment were presented. Mathematical models of a steam boiler, a steam turbine as well as a heat recovery steam generator were described. Exemplary calculation results were presented and compared with measurements.

Słowa kluczowe

EN

mathematical model; empirical functions; neural modeling; regression modeling

PL

model matematyczny; funkcje empiryczne; modelowanie neuronowe

• Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN ; Komitet Termodynamiki i Spalania PAN
• Czasopismo: Archives of Thermodynamics
• Rocznik: 2018
• Tom: Vol. 39, no 3
• Strony: 111--127
• Opis fizyczny: Bibliogr. 16 poz., rys.

Twórcy

autor

Rusinowski H.

• Institute of Thermal Technology, Silesian University of Technology, 44-100 Gliwice, Konarskiego 22, Poland

autor

Plis M.

• Institute of Thermal Technology, Silesian University of Technology, 44-100 Gliwice, Konarskiego 22, Poland

Bibliografia

• [1] Mańczak K., Nahorski Z.: Computer Dynamic Object Identification. PWN, Warsaw 1983 (in Polish).
• [2] Niederliński A.: Computer Systems for Industrial Automation: Volume 2 Applications. WNT, Warsaw 1985 (in Polish).
• [3] Rusinowski H.: Identification of Complex Thermal and Energy Technology Processes. DSc thesis, Silesian University of Technology, Gliwice 2003.
• [4] Draper N.R., Smith H.: Regression Analysis. PWN, Warsaw 1973 (in Polish).
• [5] Tadeusiewicz R.: Neural Networks . Publishing House RM, Warsaw 1993.
• [6] Rusinowski H.: Thermal Diagnostic Systems in Exploitation . Polish Academy of Sciences, Gliwice-Katowice 2010.
• [7] Rusinowski H., Stanek W.: Neural modeling of steamboilers. Energ. Convers. Manage. 48(2007), 2802–2809.
• [8] Rusinowski H., Stanek W.: Hybrid model of steam boiler. Energy 35(2010), 2, 1107–1113.
• [9] European standard EN – 12952 – 15:2003 Water – tube boilers and auxiliary installations – Part 15: Acceptance tests. PKN, Warsaw 2006.
• [10] Badyda K., Miller A.: Heavy-Duty Gas Turbines and Cycles with Their Application. Kaprint, Lublin 2011.
• [11] Knopf F.C.: Modeling, Analysis and Optimization of Process and Energy Systems. Wiley, 2011.
• [12] Kostowski E.: Heat Transfer. Publishing House of the Silesian University of Technology, Gliwice 2010 (in Polish).
• [13] Bujalski W., Lewandowski J.: Identification of the mathematical model of a steam turbine using measurements from a distributed control system (DCS). Scientific Studies, Mechanics 190, Publishing House of the Warsaw University of Technology, Warsaw 2001 (in Polish).
• [14] Szapajko G., Rusinowski H.: Theoretical-empirical model of the steam-water cycle of the power unit. Acta Montanistica Slovaca 15(2010), 1, 24–27.
• [15] Łukowicz H.: Analysis tasks for the calculation of steam turbine flow rates for diagnostic and design applications. Publishing house of the Silesian University of Technology, Gliwice 2005 (in Polish).
• [16] Miller A.: Determining of internal efficiency of steam turbine stages under different operating loads. Machine Construction Archives 1, Warsaw 1975 (in Polish).

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).