- Tytuł:
- Online monitoring system of air distribution in pulverized coal-fired boiler based on numerical modeling
- Autorzy:
-
Żymełka, P.
Nabagło, D.
Janda, T.
Madejski, P. - Powiązania:
- https://bibliotekanauki.pl/articles/240897.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
pulverized coal-fired boiler
air distribution
online monitoring system
coal combustion
combustion airflow measurement
numerical modeling
kotły pyłowe opalane węglem
dystrybucja powietrza
system monitorowania online
spalanie węgla
modelowanie numeryczne - Opis:
- Balanced distribution of air in coal-fired boiler is one of the most important factors in the combustion process and is strongly connected to the overall system efficiency. Reliable and continuous information about combustion airflow and fuel rate is essential for achieving optimal stoichiometric ratio as well as efficient and safe operation of a boiler. Imbalances in air distribution result in reduced boiler efficiency, increased gas pollutant emission and operating problems, such as corrosion, slagging or fouling. Monitoring of air flow trends in boiler is an effective method for further analysis and can help to appoint important dependences and start optimization actions. Accurate real-time monitoring of the air distribution in boiler can bring economical, environmental and operational benefits. The paper presents a novel concept for online monitoring system of air distribution in coal-fired boiler based on real-time numerical calculations. The proposed mathematical model allows for identification of mass flow rates of secondary air to individual burners and to overfire air (OFA) nozzles. Numerical models of air and flue gas system were developed using software for power plant simulation. The correctness of the developed model was verified and validated with the reference measurement values. The presented numerical model for real-time monitoring of air distribution is capable of giving continuous determination of the complete air flows based on available digital communication system (DCS) data.
- Źródło:
-
Archives of Thermodynamics; 2017, 38, 4; 109--125
1231-0956
2083-6023 - Pojawia się w:
- Archives of Thermodynamics
- Dostawca treści:
- Biblioteka Nauki
Artykuł