Modern approaches to control of a multiple hearth furnace in kaolin production

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor N/A
dc.contributor.author Gómez Fuentes, José Valentín
dc.date.accessioned 2020-02-14T11:13:50Z
dc.date.available 2020-02-14T11:13:50Z
dc.date.issued 2020
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/43154
dc.description.abstract The aim of this thesis is to improve the overall efficiency of the multiple hearth furnace (MHF) in kaolin calcination by developing control strategies which incorporate machine learning based soft sensors to estimate mineralogy related constraints in the control strategy. The objective of the control strategy is to maximize the capacity of the furnace and minimize energy consumption while maintaining the product quality of the calcined kaolin. First, the description of the process of interest is given, highlighting the control strategy currently implemented at the calciner studied in this work. Next, the state of the art on control of calcination furnaces is presented and discussed. Then, the description of the mechanistic model of the MHF, which plays a key role in the testing environment, is provided and an analysis of the MHF dynamic behavior based on the industrial and simulated data is presented. The design of the mineralogy-driven control strategy for the multiple hearth furnace and its implementation in the simulation environment are also outlined. The analysis of the results is then presented. Furthermore, the extensive sampling campaign for testing the soft sensors and the control strategy logic of the industrial MHF is reported, and the results are analyzed and discussed. Finally, an introduction to Model Predictive Control (MPC) is presented, the design of the Linear MPC framework for the MHF in kaolin calcination is described and discussed, and future research is outlined. en
dc.format.extent 129
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto-yliopisto fi
dc.publisher Aalto University en
dc.subject.other Automation en
dc.subject.other Chemistry en
dc.subject.other Computer science en
dc.title Modern approaches to control of a multiple hearth furnace in kaolin production en
dc.type G3 Lisensiaatintutkimus fi
dc.contributor.school Kemian tekniikan korkeakoulu fi
dc.contributor.school School of Chemical Engineering en
dc.contributor.department Kemian tekniikan ja metallurgian laitos fi
dc.contributor.department Department of Chemical and Metallurgical Engineering en
dc.subject.keyword kaolin en
dc.subject.keyword calcination en
dc.subject.keyword multiple hearth furnace en
dc.subject.keyword process control en
dc.subject.keyword dynamic modeling en
dc.subject.keyword MPC en
dc.subject.keyword Artificial Intelligence en
dc.subject.keyword Advanced process control en
dc.identifier.urn URN:NBN:fi:aalto-202002092056
dc.type.ontasot Licentiate thesis en
dc.type.ontasot Lisensiaatintyö fi
dc.contributor.supervisor Jämsä-Jounela, Sirkka-Liisa
dc.rev Leiviskä, Kauko
dc.rev Craig, Ian
local.aalto.openaccess yes
dc.rights.accesslevel openAccess en
local.aalto.formfolder 2020_02_09_klo_16_12


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