University of Oulu

M. Neuvonen, I. Selek and E. Ikonen, "Estimating Fuel Characteristics from Simulated Circulating Fluidized Bed Furnace Data," 2021 9th International Conference on Systems and Control (ICSC), 2021, pp. 107-112, doi: 10.1109/ICSC50472.2021.9666596

Estimating fuel characteristics from simulated circulating fluidized bed furnace data

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Author: Neuvonen, Markus1; Selek, Istvan1; Ikonen, Enso1
Organizations: 1Intelligent Machines and Systems, University of Oulu Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2022-01-27


This paper proposes a soft sensor to estimate the elementary fuel characteristics in combustion-thermal power plants. The proposed approach is data-driven. The input-output data is generated by a digital twin. Application targets circulating fluidized bed boiler, where furnace (combustion) side is considered only. First, the nonlinear dynamics of the furnace is approximated with a linear time-invariant dynamic model. Then two separate methods, Kalman filter and internal governor, are applied for state estimation. Results show that the approach is viable and has low computational complexity, but the weakly observable modes are difficult to predict accurately.

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Series: International Conference on Systems and Control
ISSN: 2379-0059
ISSN-E: 2379-0067
ISSN-L: 2379-0059
ISBN: 978-1-6654-0782-3
ISBN Print: 978-1-6654-0783-0
Pages: 4107 - 112
DOI: 10.1109/ICSC50472.2021.9666596
Host publication: 2021 9th International Conference on Systems and Control (ICSC)
Conference: International Conference on Systems and Control
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was conducted in the H2020 project COGNITWIN (grant number 870130).
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