On-line estimation of circulating fluidized bed boiler fuel composition
Ikonen, Enso; Neuvonen, Markus; Selek, Istvan; Salo, Mikko; Liukkonen, Mika (2022-05-27)
Ikonen, Enso
Neuvonen, Markus
Selek, Istvan
Salo, Mikko
Liukkonen, Mika
Institute of Electrical and Electronics Engineers
27.05.2022
E. Ikonen, M. Neuvonen, I. Selek, M. Salo and M. Liukkonen, "On-line estimation of circulating fluidized bed boiler fuel composition," 2022 UKACC 13th International Conference on Control (CONTROL), 2022, pp. 136-141, doi: 10.1109/Control55989.2022.9781460
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© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2022062850168
https://urn.fi/URN:NBN:fi-fe2022062850168
Tiivistelmä
Abstract
Estimation of power plant fuel input fractions based on unscented Kalman filtering using a first principles simulation model of the furnace is considered. The approach is described, together with experimental results using data from a full scale circulating fluidized bed power plant. The results encourage the fusion of machine learning and physical models in monitoring of industrial processes.
Kokoelmat
- Avoin saatavuus [31995]