Modeling and model predictive control of the BioPower combined heat and power (CHP) plant

Jukka Kortela, Sirkka-Liisa Jämsä-Jounela

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)
211 Downloads (Pure)

Abstract

This paper presents a model predictive control (MPC) strategy for BioGrate boiler, compensating the main disturbances caused by variations in fuel quality such as the moisture content of fuel, and variations in fuel flow. The MPC utilizes models, the fuel moisture soft-sensor to estimate water evaporation, and the fuel flow calculations to estimate the thermal decomposition of dry fuel, to handle these variations, the inherent large time constants, and long time delays of the boiler. The MPC strategy is compared with the method currently used in the BioPower 5 CHP plant. Finally, the results are presented, analyzed and discussed.
Original languageEnglish
Pages (from-to)453-462
JournalInternational Journal of Electrical Power and Energy Systems
Volume65
Issue numberFebruary 2015
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

Keywords

  • combustion
  • biomass
  • fuel quality
  • MPC
  • moisture
  • advanced control

Fingerprint

Dive into the research topics of 'Modeling and model predictive control of the BioPower combined heat and power (CHP) plant'. Together they form a unique fingerprint.

Cite this