New approach to optimizing combustion in power boilers using software inspired by the immune system integrated with an in-furnace temperature monitoring system

• Autorzy: Śladewski Ł. , Wojdan K. , Świrski K.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a new approach in combustion process optimization using an integrated solution of immune inspired optimizer (SILO) and acoustic temperature measurement system (AGAM). The solution maintains optimal temperature distribution by on-line, automatic and model based process control. The goal is to increase boiler efficiency, improve process parameters and minimize the environmental impact. This paper includes a description of system components - SILO and AGAM - and the designed solution for an existing, coal-fired power unit. The unit is already equipped with the AGAM system and identification tests conducted previously informed the design.

Słowa kluczowe

EN

combustion process; advanced control; optimization; acoustic temperature measurement; efficiency

PL

proces spalania; spalanie; sterowanie; optymalizacja; pomiar temperatury; sprawność

• Wydawca: Institute of Heat Engineering, Warsaw University of Technology
• Czasopismo: Journal of Power Technologies
• Rocznik: 2017
• Tom: Vol. 97, nr 4
• Strony: 308--313
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr.

Twórcy

autor

Śladewski Ł.

• Institute of Heat Engineering, Warsaw University of Technology, 21/25 Nowowiejska Street, 00-665 Warsaw, Poland

autor

Wojdan K.

• Institute of Heat Engineering, Warsaw University of Technology, 21/25 Nowowiejska Street, 00-665 Warsaw, Poland

autor

Świrski K.

• Institute of Heat Engineering, Warsaw University of Technology, 21/25 Nowowiejska Street, 00-665 Warsaw, Poland

Bibliografia

• [1] M. Deuster, Acoustic gas temperature measurement., in: Proceedings of Wissenforum: temperature measurement technique., 2009.
• [2] E. Huelson, N. Logan, A. D. Sappey, G. Tanck, C. Steiger, N. Jakinovich, J. P. Scott, T. Alleshouse, P. Spinney, J. Grott, H. Winn, Carbon management for existing power plants via measurement and control optimization, DOE/NETL-2011.
• [3] M. Deuster, Mit schallgeschwindigkeit berührungslos hohe gastemperaturen messen, Sonderdruck MSR Magazin.
• [4] K. Wojdan, K. Świrski, M. Warchol, M. Maciorowski, Methods providing good conditioning of model identification task in immune inspired, steady-state controller of an industrial process, in: Proc. of International MultiConference of Engineers and Computer Scientists 2009 Vol II, IMECS 2009, Hong Kong, 2009.
• [5] K. Wojdan, K. Świrski, M. Warchol, J. Milewski, A. Miller, A practical approach to combustion process optimization using an improved immune optimizer, in: Sustainable Research and Innovation Proceedings, vol. 3, Kenya, 2011.
• [6] K. Wojdan, K. Świrski, M. Warchol, Transition state layer in the immune inspired optimizer, Trends in Applied Artificial Intelligence, Lecture Notes in Artificial Intelligence 6096 (2010) 11–20.
• [7] K. Wojdan, K. Świrski, M. Warchol, Transition states handling in selfadaptive steady state optimizer of industrial processes, in: Proceedings of the IASTED Conference on Modelling, Identification, and Control, Thailand, Phuket, ACTA Press 2010, 2010.
• [8] D. Nabaglo, P. Madejski, Combustion process analysis in boiler op-650k based on acoustic gas temperature measuring system., in: Proceedings of 3rd International Conference on Contemporary Problems of Thermal Engineering CPOTE 2012; Gliwice, Poland, 2012.
• [9] Ł. Śladewski, D. Nabagło, T. Janda, J. Chachuła, Combustion process optimization by using immune optimizer in power boiler, Archivum Combustionis (1).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).