Energy-saving optimal control of fuel combustion in heating furnaces
Abstract
A standard method of fuel burning control by volumetric fuel-air consumption proportioning and the air flow consumption coefficient stabilizing is not efficient enough under conditions of industrial heating furnace non-stationary mode of operation. The dependence of the air consumption coefficient rational value on fuel consumption has not a linear form and is subject to various kinds of uncontrolled disturbances.
One of the parameters for fuel combustion quality assessment is the flame temperature or the working space of a heating furnace. It has been revealed that the flame temperature dependence on the air consumption has an extreme form. To determine the current air-gas ratio it is proposed to use a search system that would define and maintain the gas--air ratio for maximum combustion heat effect.
A dual circuit scheme is proposed for practical use of the search system of gas--air ratio controlling. The first circuit provides a rapid spotting of the rational air consumption workspace where safe fuel combustion is possible. This circuit fulfills the analysis of the effect of deep disturbances, such as the gas consumption changing due to the target variations of a temperature controller. The second circuit determines the optimal gas-air ratio for maximum flame temperature under current conditions. This circuit compensates for the uncontrolled disturbances such as gas calorie changes or air leaks action when the pressure in the heating furnace working space is varied.
The pilot operation of the fuel combustion process optimization system in the plate rolling mill industrial heating furnaces showed the reduction in fuel consumption for heating billets by 2 to 5%.
Full Text:
PDFReferences
Linchevskiy V.P. Toplivo i yego szhiganiye [Fuel and fuel combustion]. Moscow, Metallurgizdat, 1959, 400 p.
Parsunkin B.N., Andreev S.M., Akhmetov U.B. Optimizatsiya upravleniya tekhnologicheskimi protsessami v metallurgii: monographiya [Optimization of process control in metallurgy: a monograph.]. Magnitogorsk, Magnitogorsk State Technical University, 2006, 198 p.
Parsunkin B.N., Andreev S.M., Prozorov V.V. Optimizing control of the fuel combustion process in the working volume of heating furnaces // Steel in Translation, 2000, T.30, №5. pp. 36-41.
Parsunkin B.N., Andreev S.M., Prozorov V.V. Process control optimization of fuel combustion in the workspace heating furnaces [Optimizatsiya upravleniya protsessom szhiganiya topliva v rabochem prostranstve nagrevatelnykh pechey]. Stal [Steel], 2000, no. 5, pp. 48-52.
Parsunkin B.N., Andreev S.M., Ryabchikov M.Yu. Extreme control system using artificial neural network [Sistema ekstremalnogo regulirovaniya s ispolzovaniyem iskusstvennoy neyronnoy seti]. Trudy Mezhdunarodnoy nauchno-prakticheskoy konferentsii “Tvorcheskoye naslediye B.I. Kitayeva” [Proc. Int. Sc. Conf. “Creative heritage B.I. Kitaeva”]. Yekaterinburg, UGTU-UPI, 2009, pp. 376-379.
Parsunkin B.N., Andreev S.M., Lednov A.V. The system of extreme control fuel/air [Sistema ekstremalnogo regulirovaniya toplivo – vozdukh]. Elektrotekhnicheskiye sistemy i kompleksy [Electrical systems and complexes], Magnitogorsk, Magnitogorsk State Technical University, 2001, pp. 262-269.
Parsunkin B.N., Andreev S.M., Obukhova T.G. Research optimum energy-saving combustion process in the workspace metallurgical furnaces [Issledovaniye optimalnogo energosberegayushchego protsessa szhiganiya topliva v rabochem prostranstve metallurgicheskikh pechey] Vestnik Magnitogorskogo gosudarstvennogo tekhnicheskogo universiteta im. G.I. Nosova [Vestnik Magnitogorsk State Technical University named after G.I. Nosov], 2005, no.4, pp. 28-36.
Zhu H., Wen Z., Wong X., Xu H., Tao S. Application of optimization technology for ratio of air to fuel combining feedforward with feedback in heating furnace // Journal of Thermal Science. 2002, vol. 11, no 3, pp. 271-276.
Yan A., Chai T., Wu F., Wang P. Hybrid intelligent control of combustion process for ore-roasting furnace // Journal of Control Theory and Applications. 2008, vol. 6, no. 1. pp. 80-85.
Kazakevich V.V., Rodov A.B. Sistemy avtomaticheskoy optimizatsii [Systems of automatic optimization].Moscow, Energiya, 1977, 288 p.
Parsunkin B.N., Bushmanova M.V. Raschety perekhodnykh protsessov v sistemakh ekstremalnogo regulirovaniya s zapominaniyem ekstremuma [Calculations of transition response in extreme control system with latching extreme].Magnitogorsk, Magnitogorsk State Technical University, 2001, 164 p.
Parsunkin B.N., Bushmanova M.V., Andreev S.M. Raschety sistem avtomaticheskoy optimizatsii upravleniya tekhnologicheskimi protsessami v metallurgii [Calculations the systems of automatic optimization of technological processes in metallurgy]. Magnitogorsk, Magnitogorsk State Technical University, 2003, 267 p.
Parsunkin B.N., Andreev S.M. Ways to improve the efficiency and noise immunity the systems of automatic optimization of process control [Sposoby povysheniya effektivnosti i pomekhoustoychivosti sistem avtomaticheskoy optimizatsii upravleniya tekhnologicheskim protsessom] Avtomatizirovannyye tekhnologii i proizvodstva [Automation of technologies and production]. Magnitogorsk, Magnitogorsk State Technical University, 2013, no.5, pp. 277-290.
DOI: http://dx.doi.org/10.24892/RIJIE/20130103
Refbacks
- There are currently no refbacks.
Copyright (c) 2016 Boris Parsunkin, Sergey Andreev, Timur Ahmetov, Albina Bondareva
© Russian Internet Journal of Industrial Engineering. ISSN 2310-0818
E-mail: indust.engineering.ru@gmail.com
Another version of the web site: http://indust-engineering.ru