Intelligent control of the lime kiln process with respect to environmental requirements

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Järvensivu, Mika
dc.date.accessioned 2012-01-24T14:40:21Z
dc.date.available 2012-01-24T14:40:21Z
dc.date.issued 2003-04-25
dc.identifier.isbn 951-22-6382-3
dc.identifier.issn 1455-4046
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/2061
dc.description.abstract Further reducing environmental impacts, such as reduced-sulfur emissions, will be among the major challenges facing the pulp and paper industry in the near future. It will not be easy to further decrease emissions at modern pulp mills because all the major emission sources have already been eliminated. New strategies, such as the prevention of emissions at their source, e.g. by means of improved control of the subsequent processes, will therefore undoubtedly be required in order to conform with the present and also future environmental requirements. An increase in the authorities and public's attention and awareness on environmental issues, together with intensifying interest in artificial intelligence (AI) and intelligent systems, were also prime motivator for this thesis work. The primary objective of the research, which has been carried out as a co-operative effort between academic and industrial parties, has been to lower of the total reduced-sulfur (TRS) emissions from a pulp mill by means of intelligent control techniques. The research was focused on the lime reburning process, which is one of the main sources of the TRS emissions at modern pulp mills. In addition, the environmental requirements for lime kilns have become tighter and even at well-managed mills, the emissions tend periodically to exceed the limits set by the authorities. It has also been widely recognized that control of the rotary kiln used for lime calcination is, in many respects, a demanding task. So far, most of the kilns have therefore been operated without supervisory-level control system. However, there are outstanding economical and the environmental improveme nt potentials associated with improved control. Hence, supervisory-level control of the lime reburning process is undoubtedly a prospective application for intelligent control techniques. In the first phase of the research, a comprehensive study of the operation of the lime reburning process was carried out at one of the major Finnish pulp mills, with special attention paid to the factors affecting the TRS emissions. The results showed that, in addition to the considerable enhancement potential in the performance of the kiln process operation, improved kiln control is also a feasible means to reduce emissions. An overall supervisory-level control schema that takes into account both the environmental and operational requirements, was then designed on the basis of the results of the study. The supervisory-level control system, embedded with a certain degree of intelligence, was then incrementally developed and implemented at the pulp mill. The control structure combines both feedforward (FF) control models and supervisory-level feedback (FB) controllers that are based on the linguistic equation (LE) approach, strengthened with certain capabilities for adaptation and constraint handling. Advanced capabilities and highly developed functionality of the control system were achieved by combining information from different knowledge sources, and by using appropriate techniques to solve each of the recognized problems. On the other hand, the complexity of the lime reburning process was handled by implementing a modular system structure, and by utilizing an incremental system development approach. The results obtained during extended testing periods of the system demonstrate that the proposed control schema can be successfully realized in an industrial environment, and that it provides quantifiable benefits in both the economical and ecological respect. The major benefit from the ecological point of the view was an almost 30 % decrease in the mean of the TRS emissions and a considerable reduction, about 90 %, in the proportion of peak emission periods. The main verified economical benefits were an increase of about 5 % in the long-term production capacity. Improvements in reburned lime quality and enhancements in energy efficiency were also obtained compared to the situation during manual operation. en
dc.format.extent 83, [101]
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Helsinki University of Technology en
dc.publisher Teknillinen korkeakoulu fi
dc.relation.ispartofseries Report / Helsinki University of Technology, Laboratory of Process Control and Automation en
dc.relation.ispartofseries 8 en
dc.relation.haspart Järvensivu M., Mäenpää T., Jämsä-Jounela S.-L. and Saari K., 2000. Field survey of reduced-sulfur emissions from a modern Finnish pulp mill. Environmental Progress 19, No. 3, pages 147-156. [article1.pdf] © 2000 American Institute of Chemical Engineers (AIChE). By permission.
dc.relation.haspart Järvensivu M., Kivivasara J. and Saari K., 1999. A field survey of TRS emissions from a lime kiln. Pulp and Paper Canada 100, No. 11, pages 28-31. [article2.pdf] © 1999 PAPTAC. By permission.
dc.relation.haspart Järvensivu M., Saari K. and Jämsä-Jounela S.-L., 2001. Intelligent control system of an industrial lime kiln process. Control Engineering Practice 9, No. 6, pages 589-606. [article3.pdf] © 2001 Elsevier Science. By permission.
dc.relation.haspart Järvensivu M., Jämsä-Jounela S.-L. and Ahava O., 2001. Intelligent control system for low emissions and heat losses with maximum lime kiln production. [article4.pdf] © 2001 TAPPI. Posted with permission. Published in abstract form in Solutions! for People, Process and Paper 84, No. 12, page 41, and in full in Solutions! Supplement December 2001, pages 64-96 and on the Solutions! portion of the TAPPI website www.tappi.org.
dc.relation.haspart Järvensivu M., Juuso E. and Ahava O., 2001. Intelligent control of a rotary kiln fired with producer gas generated from biomass. Engineering Applications of Artificial Intelligence 14, No. 5, pages 629-653. [article5.pdf] © 2001 Elsevier Science. By permission.
dc.subject.other Paper technology en
dc.subject.other Environmental science en
dc.title Intelligent control of the lime kiln process with respect to environmental requirements en
dc.type G5 Artikkeliväitöskirja fi
dc.description.version reviewed en
dc.contributor.department Department of Chemical Technology en
dc.contributor.department Kemian tekniikan osasto fi
dc.subject.keyword lime kiln en
dc.subject.keyword TRS emissions en
dc.subject.keyword production capacity en
dc.subject.keyword energy efficiency en
dc.subject.keyword lime quality en
dc.subject.keyword supervisory-level control en
dc.subject.keyword intelligent systems en
dc.subject.keyword linguistic equations en
dc.identifier.urn urn:nbn:fi:tkk-000350
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en
dc.contributor.lab Laboratory of Process Control and Automation en
dc.contributor.lab Prosessien ohjauksen ja automaation laboratorio fi


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