Nathan Zimmerman
School of Business, Society and Engineering, Mälardalen University, Box 883, 72123 Västerås, Sweden
Konstantinos Kyprianidis
School of Business, Society and Engineering, Mälardalen University, Box 883, 72123 Västerås, Sweden
Carl-Fredrik Lindberg
School of Business, Society and Engineering, Mälardalen University, Box 883, 72123 Västerås, Sweden / ABB Corporate Research, Forskargränd 8, 72178 Västerås, Sweden
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http://dx.doi.org/10.3384/ecp17142148Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:21, p. 148-154
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
The formation of agglomerates in a refuse derived fuel (RDF) ?red circulating ?uidized bed (CFB) boiler has been investigated by implementing a dynamic model of the combustion process. The nature of refuse derived fuel, which is complex in composition, leads to an increased tendency for agglomerate formation. Notwithstanding the fact that a robust control scheme is essential in preventing the decrease in boiler ef?ciency from accelerated agglomerate formation. Therefore, a mechanism for detecting agglomeration through a physical model by looking at the minimum ?uidization is presented. As agglomerates form between the fuel ash and bed sand the average diameter of the sand will increase and therefore the minimum ?uidization velocity. Samples of bed material have been sieved and measured from a 160 MW circulating ?uidized bed boiler ?red with refuse derived fuel to determine bed material size distribution. The ?ndings have been correlated and match an increase in the minimum ?uidization velocity during a seven day sampling period where the bed material size distribution increases above the average sand diameter.
