Nonlinear model predictive control for the industrial BioPower 5 CHP plant

Jukka Kortela*

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

Abstrakti

In the operation of a biopower plant, a crucial role is played by the residual oxygen content in the flue gas. The flue gas oxygen content, depending on the total air supply and on the fuel composition, provides the information needed to estimate the power developed by the combustion. Therefore, in control systems that operate power plants, the flue gas oxygen content is directly measured and represents a key feedback variable. The novel nonlinear model predictive control developed is based on the model of the BioPower 5 CHP plant which also includes the nonlinear model of the flue gas oxygen content. In addition, the fast response is achieved by regulating primary air flow. To verify the model, experiments were performed at a biopower plant, which utilizes BioGrate combustion technology to enable the use of wet biomass fuels with a moisture content as high as 65%. Then the nonlinear model predictive control was tested in the simulated environment. Finally, the results are presented, analyzed, and discussed.

AlkuperäiskieliEnglanti
Otsikko2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation, ETFA 2022
KustantajaIEEE
Sivumäärä4
ISBN (elektroninen)978-1-6654-9996-5
ISBN (painettu)978-1-6654-9997-2
DOI - pysyväislinkit
TilaJulkaistu - 25 lokak. 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Emerging Technologies and Factory Automation - Stuttgart, Saksa
Kesto: 6 syysk. 20229 syysk. 2022
Konferenssinumero: 27

Julkaisusarja

NimiIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Vuosikerta2022-September
ISSN (painettu)1946-0740
ISSN (elektroninen)1946-0759

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
LyhennettäEFTA
Maa/AlueSaksa
KaupunkiStuttgart
Ajanjakso06/09/202209/09/2022

Sormenjälki

Sukella tutkimusaiheisiin 'Nonlinear model predictive control for the industrial BioPower 5 CHP plant'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä