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SYSTEMS ENGINEERING LABORATORY REPORT C · SYSTEMS ENGINEERING LABORATORY REPORT C ... The laboratory is looking forward to fulfilling its role in the palette of the De- ... Prentice-Hall

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SYSTEMS ENGINEERING LABORATORY

REPORT C

ACTIVITY REPORT

FROM

1.1.2010

TO

31.12.2011

REPORT C 34, SEPTEMBER 2012

EDITED BY HARRI AALTONEN

UNIVERSITY OF OULU

DEPARTMENT OF PROCESS AND ENVIRONMENTAL ENGINEERING

SYSTEMS ENGINEERING LABORATORY

P.O.BOX 4300

FIN-90014 UNIVERSITY OF OULU

UDC 06.055.5

378.6 681.5

ISBN

978-951-42-9947-6

ISSN 0783-5728

JUVENES PRINT Oulu 2012

Information about our laboratory is also available at the INTERNET in our homepage http://cc.oulu.fi/~posyswww

and information about the University of Oulu at http://www.oulu.fi

CONTENTS INTRODUCTION ........................................................................................................ 4 1 LABORATORY STAFF .................................................................................... 5

2 EDUCATIONAL ACTIVITIES ........................................................................ 8

2.1 Undergraduate courses ....................................................................................................... 8 3 LABORATORY FACILITIES ....................................................................... 15

4 RESEARCH ...................................................................................................... 16

4.1 Novel Way to Control the Combustion of Various Biomasses (NOCOBI) .................. 16

4.2 Dynamic Modelling and Control of Oxycombustion Process ....................................... 16

4.3 Mittaavan Käynnissäpidon Kehittämishanke 3, KUPI 3 .............................................. 17

4.4 Continuous Digester Runability (MiHa) ......................................................................... 17

4.5 Optimization of Pump Scheduling with Dynamic Probabilistic Methods ................... 17

4.6 Controlled Finite Markov Chains in Process Control (FICO)...................................... 18

4.7 Genealogical Decision Trees in Process Control ............................................................ 19

4.8 Dynamic Modelling and Control Of Circulating Fluidi zed Bed Combustion Process (CFBCON) ......................................................................................................................... 20

4.9 Development of Engineering Education Curricula ........................................................ 21

4.10 Hot-loop Parameter Estimation (HOPE) ........................................................................ 21 5 THESES ............................................................................................................. 22

5.1 For the degree of Bachelor of Science in Technology .................................................... 22

5.2 For the degree of Master of Science in Technology ....................................................... 23

5.3 For the degree of Licentiate of Science in Technology .................................................. 24

5.4 For the degree of Doctor of Science in Technology ........................................................ 25 6 PAPERS AND PUBLICATIONS ................................................................... 26

7 PARTICIPATION TO CONFERENCES & MEETINGS ........... ................ 28 8 VISITORS AND VISITS ................................................................................. 29

9 OTHER ACTIVITIES ..................................................................................... 30

4

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process dynamics

automation systems

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INTRODUCTION

The Systems Engineering Labora-tory conducts research and teaches methods of control and systems engineering, and their applications in process automation. Laborato-ry’s field of competence is in con-trol of dynamic systems, and its applications in power plant and pulping automation. We are strong in, e.g., methods of artificial intel-ligence, experimental and grey-box modelling, monitoring and diagno-sis of industrial processes and in non-linear process control meth-ods. In addition, we are interested in advancement of education and research in our field.

The Laboratory teaches fundamentals of process automation, automation systems, con-trol theory, methods of systems engineering, and power plant automation. The staff of the Laboratory consists of a professor, a lecturer, a laboratory engineer, teaching re-searchers and doctoral students.

Among our many activities during 2010-2012, we have focused on developing power plant modelling and control in cooperation with the Foster Wheeler Energia. We have also been productive in research on water distribution network optimization, in strong cooperation with the Budapest University of Engineering and Economics. Cooperation with Stora Enso has been active, including a project on digester runability. In teaching, the focus has been in development of the quality of control engineering education; re-structuring and renovation of some of the basic courses is expected to follow during the next academic years. Last, but not least, a PhD course on advanced MPC and state estimation was realized in Summer 2012. The laboratory personnel participated active-ly to a number of conferences, such as the IFAC PPPSC in Toulouse (with four pa-pers). The laboratory is looking forward to fulfilling its role in the palette of the De-partment, and in promoting the distinguished sciences of process control and systems engineering.

in Oulu, 20 September 2012

Enso Ikonen Professor, Head of the Laboratory

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1 LABORATORY STAFF In January 2012, the personnel of the laboratory were the following: Professor: D.Sc. (Tech.) Enso Ikonen Docents: D.Sc. (Tech.) Ljudmil Golemanov

D.Sc. (Tech.) Tapio Heikkilä D.Sc. (Tech.) Jenő Kovács (power plant automation) D.Sc. (Tech.) Kaddour Najim (learning systems) D.Sc. (Tech.) Urpo Kortela (Professor emeritus)

Laboratory Manager: M.Sc. (Tech.) Tapani Karjalainen Lecturer: Lic.Sc. (Tech.) Jukka Hiltunen University Researcher: D.Sc. (Tech.) Jenő Kovács (25 %) University Teachers: D.Sc. (Tech.) Seppo Honkanen (acting) Lic.Sc. (Tech.) Manne Tervaskanto (acting) Post doc Researcher: D.Sc. (Tech.) István Selek Ph.D. Students M.Sc. (Tech.) Harri Aaltonen M.Sc. (Tech.) Jozsef Bene M.Sc. (Tech.) Matias Hultgren M.Sc. (Tech.) Laura Niva M.Sc. Mikko Vuopala M.Sc. (Tech.) Antti Yli-Korpela Research Trainee: Student Timo Järvenpää Diploma thesis Worker: B.Sc. (Tech.) Juho Pietilä

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Since there have been some changes, the whole list of persons who have worked in our laboratory during the years 2010-2011 is stated below. Ikonen, Enso D.Sc. (Tech.)

Head of the laboratory Professor 1.1.2010 – Senior Assistant 1.8.2005 – 31.12.2009 Docent 1.11.2001 – Academy research fellow, 1.8.2000 – 31.7.2005 Academy of Finland Post doc researcher 1.4.1998 – 31.7.2000 Senior assistant 1.4.1998 – (on leave)

Kortela, Urpo D.Sc. (Tech.) Emeritus professor 1.1.2010 – Professor 1.8.1988 – 31.12.2009 Kovács, Jenő D.Sc. (Tech.) University Researcher 1.5.2010 – (25 %) Docent 1.9.2006 – Senior assistant 1.4.1998 – 31.12.2009 (on leave

20.8.2007 – 31.12.2009) Hiltunen, Jukka Lic.Sc. (Tech.) Lecturer 1.7.1998 – (on leave 1.9.1999 – 31.12.2001) Karjalainen, Tapani M.Sc. (Tech.) Laboratory manager 1.8.1975 – Aaltonen, Harri M.Sc. (Tech.) Ph.D. Student 1.1.2012 – Acting university teacher 1.1.2010 – 31.12.2011 Acting senior assistant 1.1.2004 – 31.12.2009

Assistant 1.1.2002 – 31.12.2003 Ahvenlampi, Timo M.Sc. (Tech.) Researcher 1.1.2000 – 31.12.2010 Assistant 1.9.2009 – 31.12.2009 Researcher 1.1.1999 – 31.8.2009 Bene, Joszef M.Sc. (Tech.) Ph.D. Student 1.9.2010 – Honkanen, Seppo D.Sc. (Tech.) Acting university teacher 1.1.2010 – Assistant 1.1.2005 – 31.12.2009 Senior assistant 1.1.2002 –31.12.2004

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Hultgren, Matias M.Sc. (Tech.) Ph.D. Student 1.1.2012 – Diploma worker 1.3.2011 – 29.12.2011 Järvenpää, Timo B.Sc. (Tech.) Student Research Trainee 1.2.2012 – Leppäkoski, Kimmo D.Sc. (Tech.) Researcher 1.2.1996 – 31.7.2011 Leinonen, Markus M.Sc. Student Diploma worker 29.9.2009 – 30.4.2010

Niva, Laura M.Sc. (Tech.) Ph.D. Student 20.11.2009 – Research Assistant 1.12.2008 – 19.11.2009 Part time teacher 1.10.2008 – 30.11.2008 Pietilä, Juho M.Sc. Student Diploma worker 15.9.2011 – Selek, István D.Sc. (Tech.) Post doc researcher 1.12.2010 – Ph.D. Student 1.1.2007 – 30.3.2009 Tervaskanto, Manne Lic.Sc. (Tech.) Acting university teacher 1.1.2010 – Acting senior assistant 1.6.2009 –31.12.2009 Researcher 1.5.2009 –31.5.2009 Acting senior assistant 1.9.2008 –30.4.2009 Researcher 1.3.2008 –31.8.2008 Acting senior assistant 1.2.2008 –29.2.2008 Researcher 26.6.2000 – 31.1.2008 Vuopala, Mikko M.Sc. Ph.D. Student 1.8.2011 – Yli-Korpela, Antti M.Sc. (Tech.) Ph.D. Student 3.11.2010 – Diploma worker 1.12.2008 – 30.9.2009

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2 EDUCATIONAL ACTIVITIES 2.1 Undergraduate courses Advanced control & systems engineering The course introduces advanced tools for control engineering, such as predictive con-trol, adaptive control, multivariable control and neuro-fuzzy systems, which are com-monly used applications in non-linear process modelling, control, plant optimization, monitoring and scheduling. The course consists of 30 lecture hours and 20 hours of class exercises and it has been held yearly during two five-week periods. The partici-pants are fourth year students from the Departments of Process and Environmental En-gineering, Electrical and Information Engineering, and Mechanical Engineering. Lecturer and exercises: E. Ikonen

Examination value: 5 ECTS credits Contents:

Identifying processes using linear and non-linear models Recursive least squares methods Parameter estimation Kalman filtering Neural networks Model-based control Predictive control Multivariable control Adaptive control

The course is based on the lecture notes and chapters 1-2, 4, 7-8, chapters 6.1 and 9.1, and appendix B of the following book:

Ikonen, E. and K. Najim, Advanced Process Identification and Control, Mar-cel Dekker Inc, 2002, 310 p.

The course was completely renewed in Spring 2012, now focusing on model predictive control (DMC, QDMC, GPC), state estimation (Bayesian filtering, Kalman filtering, particle filtering) and nonlinear stochastic control (Controlled finite Markov chains and dynamic programming). Control system analysis The study module gives basics in control and systems engineering, and about the ap-plication methods. The course consists of 24 lecture hours and 24 hours of class exer-cises and it has been held yearly during two five-week periods. The participants are third year students of the Departments of Process and Environmental Engineering. Lecturer: J. Hiltunen Exercises: S. Honkanen

Examination value: 4 ECTS credits

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Contents: Introduction to Matlab Laplace- transforms Transfer functions and block diagrams Dynamical systems Time and frequency analysis System stability

The course is based on

Dorf, R. Modern Control Systems. Prentice-Hall 2010. 1104 p. and with references to the following books:

Ogata, K., Modern Control Engineering. Prentice-Hall 2002. 964 p. DiStefano, J., Feedback and Control Systems. Prentice-Hall 1990. 512 p.

Control system design The study module gives a deeper insight view of basics in control and systems engi-neering especially for applications of automation technology. The course consists of 24 lecture hours and 24 hours of class exercises and it has been held yearly during two five-week periods. The participants are third year students of the Department of Pro-cess and Environmental Engineering. Lecturer: E. Ikonen Exercises: S. Honkanen Examination value: 4 ECTS credits Contents:

Controllers Root locus method Frequency response methods Compensators in control system design State-space representation of systems Modern control engineering Dynamic systems

The course is based on

Dorf, R. Modern Control Systems. Prentice-Hall 2010. 1104 p. and with references to the following books:

Ogata, K., Modern Control Engineering. Prentice-Hall 2002. 964 p. DiStefano, J., Feedback and Control Systems. Prentice-Hall 1990. 512 p.

Control and systems engineering The course deepens the basic knowledge of control and systems engineering especially for electrical applications. The course consists of 30 lecture hours and 20 hours of class exercises and it has been held yearly during two five-week periods. The participants are third year students of the Departments of Electrical and Information Engineering, and Physics (line of Biophysics).

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Lecturer: S. Honkanen Exercises: H. Aaltonen

Examination value: 5 ECTS credits Contents:

Systems and control Models of processes Stability Design and tuning of feedback control Controllers and control algorithms Transient and steady-state response analyses Frequency-response analyses Tuning the controller using root locus Compensators

The course is based on lecture notes with references to the following book:

Dorf, R. Modern Control Systems. Prentice-Hall 2010. 1104 p. Ogata, K., Modern Control Engineering. Prentice-Hall 2002. 964 p. DiStefano, J., Feedback and Control Systems. Prentice-Hall 1990. 512 p.

Fundamentals of PID control After completing the course the students can apply mathematical and graphical meth-ods to the dynamics of process characterisation and control design. The period of study completed, the student can form the on-off-controller, PID-, lead- and lag controllers for the process, and tune them to the accuracy requirements of the customer and evalu-ate the behaviour of closed-loop systems with the root locus technique. The course consists of 24 lecture hours and 24 hours of class exercises and it has been held yearly in autumns. The participants are fourth year students of the Departments of Process and Environmental Engineering. Lecturer and exercises: M. Tervaskanto Examination value: 4 ECTS credits Contents:

Basics of Matlab/Simulink The process models and modelling PID controller design and implementation of automation system PID controller structures and restrictions Analysis and tuning of PID controller Industrial control circuits of basic connections

The course is based to the following material:

Tervaskanto, M. PID-säädön perusteet, Systems Engineering Laboratory, Re-port A 32 2010. 98 p.

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Digital control theory The course introduces computer controlled, sampled data systems and acquires the knowledge of designing and tuning discrete-time control systems. The course consists of 30 lecture hours and 20 hours of class exercises and it has been held yearly in au-tumns. The participants are fourth year students of the Departments of Process and En-vironmental Engineering, and Electrical and Information Engineering. Lecturer and exercises: S. Honkanen Examination value: 4 ECTS credits Contents:

Sampled data systems: sampling, Z transformation of signals Discrete-time modelling: difference equation, shift operator, pulse transfer

function, polynomial and state-space description Analysis of discrete-time systems: z-plane, stability Discrete-time control design strategies: general RST structure, discrete-time

PID control, various pole-zero placement control algorithms, minimum-variance control, model-based control, state-space design methods

The course is based on lecture notes with references to the book:

Landau, I.D. and Zito, G., Digital Control Systems: Design, Identification and Implementation. Springer 2006. 484 p.

Åström, K.J. and Wittermark, B., Computer Controlled Systems: Theory and Design. Prentice-Hall 1997. 557 p.

Fault Diagnosis and Process Performance Analysis The course introduces the methods used in fault diagnostics and process performance analysis. The course consists of 30 hours of lecture and class exercises and it has been held yearly during two five-week periods. The participants are fourth year students from the Departments of Process and Environmental Engineering and Electrical and Information Engineering. Lecturers: J. Hiltunen and H. Aaltonen Exercises: H. Aaltonen Examination value: 2 ECTS credits Contents:

Model- and data-based diagnostic methods Measurement validation Key figure calculation Clustering and classification Process performance assessment and follow-up Application examples

The course is based on lecture notes and laboratory exercises.

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Introduction to Automation Engineering The course introduces the architecture and documentation of digital automation sys-tems. The course consists of 30 lecture hours and 14 hours of class exercises and 2 hours of control room for demonstration and it has been held yearly during two five-week periods. The participants are first year students of the Departments of Process and Environmental Engineering. Lecturer: J. Hiltunen and K. Leiviskä (* Class exercises: H. Aaltonen and. A. Sorsa (* Examination value: 5 ECTS credits Contents:

Structure of industrial automation Operational and structural description Process control and operation PI-charts, symbols, block diagrams and block diagram algebra Control circuits, principles and implementation Process measurements, sensors and measuring equipment Control elements and dimensioning mostly valves and motors Placing, installation and connection of field devices, signals and cabling

The course is based on lecture and exercise notes. (* Teaching persons from Control Engineering Laboratory Process Automation Systems The course introduces the architecture of digital automation systems in automation en-gineering, fieldbus and distributed controls systems (DCS). The course consists of 12 lecture hours, 4 hours of class exercises and excursions to various industrial plants. It has been held yearly during one five-week periods. The participants are second year students of the Departments of Process and Environmental Engineering. Lecturer: J. Hiltunen Class exercises: H. Aaltonen (2010), J.Mononen (2011) Examination value: 3 ECTS credits

Procurement and delivery of automation in a project System configuration Telecommunication technology used in automation Field buses Examples from commercial systems and field buses products

The course is based on lecture notes and laboratory exercises

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Laboratory Exercises of Process Engineering Our laboratory offers two laboratory exercises, which are carried out in one to two stu-dent groups. Exercises can be done during six five-week periods in each academic year. Supervisors: S. Honkanen, H. Aaltonen and K. Leppäkoski Examination value: 4 ECTS credits Contents:

Tuning the PID controller in the experimental facilities Getting familiar with a programmable logic controller

Power Plant Automation After participating in the course, the student has learned different types of thermal power plants, their sub-processes and their operation. In addition, the student has fa-miliarized him/herself with power plant simulation, the automation system and the data collection system, which are used in the power plants. The course consists of 20 lecture hours, simulation demonstrations and/or industrial visit and it has been held during spring one five-week periods. The participants are fourth year students of the Depart-ments of Process and Environmental Engineering. Lecturer: L. Niva Examination value: 5 ECTS credits Contents:

Introduction to energy market and consumption Description of different types of power plants and the main components and

their operation Fundamentals of industrial measurements, sensors, emissions and industrial

actuators Static and dynamic modelling of power plants

The course material is based to the following book:

Joronen, T., Kovács, J. and Majanne, Y., Voimalaitosautomaatio. Suomen Au-tomaatioseura 2007. 276 p.

Power Plant Control After participating in the course, the student has learned the difference between the op-eration of different boiler types and its relevance in control design. The students will have the knowledge on the control structures and the behaviour of the different loops. The current stage of control design and the potential future development area will be introduced. The course consists of 30 lecture hours and it has been held during spring one five-week periods. The participants are fourth year students of the Departments of Process and Environmental Engineering. Lecturer: J. Kovács

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Examination value: 3 ECTS credits Contents:

Detailed description of different power plant types and their operation Advances in power plants technology – once-through boilers The control principles and the main control loops Comparison of different control solutions The interaction between different parts of the power plants Coordinated control Control of sub processes Advanced control solutions

The course material is based on lecture handout and additional material. Power Plant Simulation The student can implement the theoretical knowledge gained in power plant automa-tion courses into practice and has deepened his/her understanding in the subject. The student knows the principles of power plant operation in different situations (start-ups and shut-downs, load changes). The course consists of 3 x 4 hours hours simulation exercises in two to four student groups with a metsoDNA power plant simulator and it has been held every year during one five-week periods. The participants are fourth year students of the Departments of Process and Environmental Engineering. Lecturer: J. Kovács and T. Hietanen (* Examination value: 1 ECTS credits Contents:

Simulation exercises with a metsoDNA power plant simulator The course is based on lecture notes. (* Teaching person from OAMK, Oulu University of Applied Sciences Process Information Systems The course introduces the factory and entire company-wide information systems where automation systems are part of a larger entity. The course consists of 30 hours of lec-ture and exercises and it has been held every second year during one five-week peri-ods. Lecturer: J. Hiltunen Examination value: 5 ECTS credits (2010) Contents:

Purpose of information systems Technologies used in wide information systems Case study analyses

The course is based on lecture notes and student’s presentation notes.

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3 LABORATORY FACILITIES Computer resources Each person at the Systems Engineering Laboratory has a personal computer with a Windows 7 Workstation operating system. Some of the computers are equipped with the hardware and software required for on-line process measurement and control. The laboratory has a Windows Laboratory network and the computers are connected to a local Ethernet network. This network also provides entries into other networks such as FUNET (Finnish University Network), which connects the local networks of all the Finnish Universities to each other, the European-wide networks EARN (European Ac-ademic & Research Network), Eunet (European University Network) and the INTER-NET. PCs and laptop computers contain a number of software tools for data processing, pro-cess modelling and control design. For heavy calculations, it is possible to connect and use the computers in the Computer Service Centre of the University of Oulu, where several SUN-SPARC server systems with UNIX operating system exist. By the FUNET network, it is possible to access to the centre for scientific computing for using Cray supercomputers. Facilities for experiments Laboratory has several automation equipments for the student exercises. A Siemens Simatic S7 programmable logic controller controls water warming and metering equipment. A pilot-scale conductivity process with Foundation Fieldbus compatible equipments is controlled by DeltaV digital automation system. In the plant hall of the Department of Process and Environmental Engineering, there is a pilot-scale pulp pumping and screening process system. This pilot plant is controlled by a metsoDNA automation system. Pilot-scale system is used for the education and research purposes.

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4 RESEARCH 4.1 Novel Way to Control the Combustion of Various Biomasses (NOCOBI) Project leaders: Prof. Enso Ikonen 1.1.2010 –31.12.2012

Prof. Urpo Kortela 1.1.2009 – 31.12.2009 Researchers: D.Sc. (Tech.) Kimmo Leppäkoski M.Sc. (Tech.) Mikko Vuopala Duration: 1.1.2009 – 31.12.2012 Financing: Academy of Finland The increasing use of biomasses (peat, waste wood, bark, etc) causes the quality of fuels to be more heterogeneous. The properties and compositions of the fuels vary and therefore the properties of the ash vary as well. The combustion of different biomass fuel-mixtures easily results a growing deposition of ash on the inner surfaces of the boiler if the mixtures of fuel or process conditions are not optimal. New monitoring and control methods for biomass fueled boiler are developed in order to avoid fouling and slagging by utilizing modelling and novel measurement methods. A CFD model for predicting the fouling and slagging is developed. The model is based on the deter-mination of the characteristic properties of the selected fuels and the determination of the main reactions. The optimal control values are found for the combustion of various biomasses. The optimal conditions are modeled based on information gathered from fuel and flue gas analysis by the novel CFD model. New monitoring and control meth-ods, which utilize the novel measurement methods, are applied in combustion of bio-masses. By applying the developed methods, the damages of fouling and slagging can be prevented or dampened. Consequently, the usability of the boiler in combustion of various biomasses is improved. 4.2 Dynamic Modelling and Control of Oxycombustion Process Project leaders: Prof. Enso Ikonen Docent D.Sc. (Tech.) Jenő Kovács Researchers: Prof. Enso Ikonen Docent D.Sc. (Tech.) Jenő Kovács M.Sc. (Tech.) Laura Niva Duration: 1.6.2010 – 2014 Financing: Funded by Graduate School in Electronics, Telecommunica-

tion and Automation In cooperation with Foster-Wheeler Energia The project ‘Dynamic Modelling and Control of Oxycombustion Process’ focuses on a new and challenging topic of modelling and control of oxycombustion. The topic covers control and systems engineering in a wide range. From control and systems engineering point of view, the challenges include dealing with the multivaria-ble nature, uncertainties and nonlinearities in the overall process as well as developing control that takes full advantage of the physicochemical knowledge related to chemical and thermodynamical phenomena, mass and energy balances etc. Oxycombustion is currently in demonstration phase.

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4.3 Mittaavan Käynnissäpidon Kehittämishanke 3, KUPI 3 Project leader: Prof. Enso Ikonen Researchers: M.Sc. (Tech.) Timo Ahvenlampi Duration: 1.12.2009 – 31.11.2012 Financing: EAKR The project focuses on measurement based O&M solutions. One aspect is on integra-tion of condition monitoring and process measurements to find new and better O&M solutions for industrial applications. The tasks include literature survey and case stud-ies in co-operation with industrial and research institute partners. 4.4 Continuous Digester Runability (MiHa) Project leader: Prof. Enso Ikonen Researchers: Prof. Enso Ikonen, Lic.Sc. (Tech.). Manne Tervaskanto M.Sc. (Tech.) Antti Yli-Korpela Duration: 1.11.2010 – 31.12.2012 Cooperation partners: StoraEnso Research Centre, Imatra, Finland StoraEnso Chemical Pulping Mills, Finland Financing: Financed by Tekes (the Finnish Funding Agency for Tech-

nology and Innovation) The MIHA-project considers improvement of pulp mill runability, focusing particular-ly in changes in the raw-material (chips). The target is to better understand the root causes for runability problems and develop improved feedforward and feedback con-trols via advanced monitoring, aiming to reduction in runability problems. The work is conducted as a subcontracted project related to Forest Cluster’s EffFibre Program WP6 on “Future pulp mill development”. 4.5 Optimization of Pump Scheduling with Dynamic Probabilistic Methods Project leader: Prof. Enso Ikonen Researchers: Prof. Enso Ikonen D.Sc. (Tech.) István Selek D.Sc. (Tech.) Csaba Hős M. Sc. (Tech.) Joszef Bene Duration: 2010 – 2014 Financing: Center for International Mobility (CIMO) Academy of Finland Pump scheduling problems appear as a general problem in various fields of industry. A typical example is that of a water distribution network, but many other problems can be characterized by optimization of transportation between storages. The objective of research is to develop new methods that will enable to optimize pump scheduling type of problems characterized by system dynamics, uncertainties, nonlinearities, disconti-nuities and large problem sizes. Our main hypothesis is that advantageous algorithms will be found from the class of probabilistic model-based techniques which take into account the system dynamics. In addition to methods, an effort will be put on proper

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problem formulation for the real life applications. The applicability of the examined methods will be examined and demonstrated via real-life case problems. The project involves joint work between the Systems Engineering Laboratory (SYTE, Oulu, Finland) and Department of Hydrodynamic Systems (HDR, Budapest, Hungary). SYTE has expertize in application of advanced methods for process monitoring, con-trol and optimization. Typically, methods are based on models, built using physical knowledge and/or plant data, requiring understanding of both transport phenomena (process engineering) as well as sampled systems and signal processing (automation). The HDR is highly skilled in modelling, simulation and optimization of hydrodynamic systems; stationary and unsteady analysis of water distribution and sewage systems has been a traditional topic at the HDR. HDR has strong cooperation with waterworks companies, the system at Sopron will be used as a case example. Algorithms in the area of random and population based dynamic modelling and search techniques have been already examined at the SYTE in our past works. State-of-the-art methods for the pump scheduling problem have already been examined at HDR. This project examines algorithms in a general setting for pump sceduling problems using a) finite Markov chains, and b) particle filtering based techniques and neutrality, c) with applications for real utilities. Given this initial boost, the research is directed via two real life case examples. Careful analysis of the applications will guide us as to where the significant bottlenecks are. The focus of research will be on the design of applica-ble and flexible techniques for real life problems, as it is believed that the bottleneck of scientific and industrial breakthrough of random and/or population based techniques lies much in the lack of convenient problem formulation setups. The project will pro-mote the role of systems engineering in providing frameworks for better understanding of problems of process and mechanical engineering, in providing scientifically justified results on modern process control, and in providing solutions to problems with high economical and societal significance. 4.6 Controlled Finite Markov Chains in Process Control (FICO) Project leader: Prof. Enso Ikonen Researchers: Prof. Enso Ikonen, Prof. K. Najim, Prof. E. Gomez-Ramirez Duration: 2006 – Financing: internal funding This research concerns the role of finite state probabilistic dynamic models in process control design. The field of controlled finite Markov chains (CFMC) and the related stage-wise optimization techniques are commonly referred to as Markov decision pro-cesses (MDP). The MDP approach to process control can be seen as an extension of model predictive control (MPC), or model-based (optimal) process control, which has become increasingly popular in industrial applications of process control. With the ad-vent of increased and reasonably priced computing power and memory resources, the applications of CFMC/MDP techniques has become feasible. Compared to current ap-proaches for modelling, monitoring and control design, we expect the main strengths of such an approaches to be found in improved modelling of propagation of process uncertainties, availability of means for designing optimal controllers for non-linear un-certain dynamic systems, simplified learning from recorded process data, improved

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methods for exploitation of physical process models and simulation models in process control. In our work in this field, we have examined the feasibility of process control design for various processes. We have also examined adaptive control based on local CFMC models. We now have built an understanding of the capabilities and limits of the MTM approach in several standard process control tasks, as well as an efficient software package for building and analysing models and controllers. The future work will be targeted towards realization of the potential benefits in handling of uncertainties. 4.7 Genealogical Decision Trees in Process Control Project leader: Prof. Enso Ikonen Researchers: Prof. Enso Ikonen, Prof. K. Najim, Prof. E. Gomez-Ramirez Duration: 2004 – 2009 Financing: internal funding This research concerns population based random search techniques in process moni-toring, control and optimization. Particle filtering (PF) techniques are based on a grid-less approximation of the conditional density of the state, given the observations. Parti-cle filters have a number of attractive characteristics. In particular, they are non-parametric and can represent arbitrary distributions. Particle filters are today fairly commonly used in the area of nonlinear filtering, however industrial applications are less frequent in the area of process monitoring and control. The GDT-based control approach is a random search technique for solving a sequential optimization problems. In our work, we have introduced these techniques for solving open-loop regulation and tracking control problems. In addition, we have suggested a GDT-based approach for regulation. The essential idea was to use GDT optimization for solving off-line a number of predictive control problems. A finite set of initial states is then constructed from these simulations, for each of which an optimal control sequence has been computed; these trajectories are then used for setting up a controller. Based on our work, a number of GDT-based pro-cess control examples along with clear rules for tuning the algorithm parameters have been reported. We are now looking at engineering applications where the particular potential of the GDT-based control/regulation can be exploited. Also applications of 'conventional' PF-techniques in state estimation in the area of process monitoring and control are of our interest.

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4.8 Dynamic Modelling and Control Of Circulating Fluidized Bed Combustion Process (CFBCON) Project leaders: Prof. Enso Ikonen Docent D.Sc. (Tech.) Jenő Kovács Researchers: Prof. Enso Ikonen Docent D.Sc. (Tech.) Jenő Kovács M.Sc. (Tech.) Laura Niva M.Sc. (Tech.) Matias Hultgren Duration: 15.3.2011 – 31.12.2011 Financing: In cooperation with Foster Wheeler Energia Oy The CFBCON project centers on the control and dynamic simulation of the circulating fluidized bed (CFB) boiler process. CFB combustion enables an efficient combustion of solid fuels with more uniform combustion conditions, greater fuel flexibility and smaller atmospheric emissions than many other boiler types, among other things. In CFBCON, the research goals are achieved through theoretical investigations, experi-mental measurement analysis and simulations. Simulation models will be used both for the testing of different boiler control strategies and for the basis of more advanced con-trol solutions. The project is a collaboration between SYTE and Foster Wheeler Ener-gia Oy, which is one of the most important players in the CFB field. In the year 2011, the research was centered on oxy combustion, which is one of the main large-scale CCS techniques for the capture and storage of atmospheric CO2 emis-sions. In oxy combustion, the combustion takes places with a mixture of oxygen and recirculated flue gas instead of traditional combustion with air. This enables the con-centration of CO2 in the flue gases, which leads to an easier separation of the said component for storage. Oxy combustion is a relatively new topic in power plant re-search and from a control engineering perspective it may offer interesting new points of consideration, such as the ability to use different O2 percentages in the oxidant and different gas compositions for different oxidant inlets. For CFBCON, the main issue was to find out, how the oxy combustion process differs from air combustion in the CFB environment, with a particular attention to process dy-namics and operational issues. Another important goal was to validate different opera-tional modes in the oxy-CFB and the transition dynamics between these modes, most notably switches between air and oxy combustion. To meet these goals, a dynamic test-ing period was carried out by Foster Wheeler and VTT with the 50 kWth air/oxy-CFB pilot of VTT Jyväskylä. Matias Hultgren analyzed the results of these tests in his Mas-ter’s thesis work “Comparative Study of Oxy and Air Combustion on a Pilot CFB Boiler”, which was commissioned within the CFBCON project. An extensive literature review on the subject was made and the conclusions were compared to the experi-mental findings. Furthermore, the test results were used to perform an initial oxy mode validation for an existing Foster Wheeler hotloop model (Matlab/Simulink), which had been previously validated extensively in air mode. The findings of the Master’s thesis work will be used in boiler design tools and as a basis for oxy-CFB combustion control development. The M.Sc. work of Hultgren was also awarded with the International Flame Research Foundation (IFRF) M.Sc. thesis award of 2011.

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In the future, CFBCON will concentrate on new developments in the CFB boiler field from the viewpoint of control and systems engineering. The goal is to find out, how new CFB boiler configurations will affect traditional combustion control. These devel-opment directions include the size and power increases of CFB boilers, supercritical operation and the once-through (OTU) boiler technology, as well as oxy combustion and dual-firing with switches between air and oxy combustion. 4.9 Development of Engineering Education Curricula Project leader: Lic.Sc. (Tech.) Jukka Hiltunen Researchers: Lic.Sc. (Tech.) Jukka Hiltunen D. Sc. (Tech.) Juha Ahola D.Sc. (Tech.) Juha Jaako Lic.Sc. (Tech.) Eetu-Pekka Heikkinen Duration: 1.1.2004 – Financing: internal funding Epistemological, structural and pedagogical aspects of engineering and technology ed-ucation have been studied. The main focus has been in chemical engineering curricu-lum but most of the findings can be easily generalized also across other fields of engi-neering and technology education. The research work has been carried out in the frame of DAS formalism emphasizing design and problem solving skills as a core content of engineering. 4.10 Hot-loop Parameter Estimation (HOPE) Project leaders: Prof. Enso Ikonen Docent D.Sc. (Tech.) Jenő Kovács Researchers: Prof. Enso Ikonen Docent D.Sc. (Tech.) Jenő Kovács M.Sc. (Tech.) Harri Aaltonen M.Sc. Mikko Vuopala Duration: 1.6.2011 – 31.12.2011 Financing: In cooperation with Foster Wheeler Energia Oy The HOPE project considered analysis and tuning of a circulated fluidized bed (CFB) hot-loop model. Selected model outputs were fitted to measured data by allowing a set of constant-valued parameters to be considerd as time-vayring. The considered pa-rameters included the reaction rate, heat transfer coefficients, and fuel moisture, among others. Estimates of parameter distributions were created using both gradient-based techniques and particle filtering. The main aim is to develop a tool for hypothe-sis testing and efficient assessing of plant test experiment series.

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5 THESES 5.1 For the degree of Bachelor of Science in Technology 2010 - 2011 Ahlamaa, Tuomas Turva-automaatiojärjestelmän toteutus Hirvelä, Kristian Neliöpainon vaikutus fraktiokakkujen mittauksessa Hyvönen, Jari Hiilidioksidipäästöjä koskeva ilmastolainsäädäntö Hyyrynen, Markus Paperin pituusleikkaus Jormakka, Matti AMS-ohjelmisto kenttälaitteiden hallintaan ja ylläpitoon Juntunen, Arttu Taselaskennankurssin MATLAB-kurssitehtävän muutta-

minen Scilab-ohjelmistolla toteutettavaksi kurssiteh-täväksi

Järvenpää, Timo PowerDemo-simulaattorin simulointikokeissa havaitut

korjaavat toimenpiteet Karjalainen, Jenni Erään turva-automaation toteutuksen tarkastelua

prosessiteollisuudessa Kemppainen,Tapani Arkkileikkurien jäännösrullien hylkytoiminnan kehittä-

minen Stora Enso Oyj:n Oulun arkittamolla Kohola,Ville Säätöventtiilin mitoitus Nelprof-venttiilinmitoitus-

ohjelmalla Korhonen, Heikki Virtaussäädön toteutus DeltaV-simulaattorissa Kujala, Veikko Power system balancing and renewable energy Kuusela, Saila Säätöventtiillin mitoitus massankäsittelyn linjastoon Kärki, Antti Jauhatustavan vaikutus sulfidimalmin partikkelikoko-

jakaumaan sekä sulfidimalmin laboratoriotyöohjeen laadinta

Miettinen, Miika Hiilihapotuslaite

Moilanen, Juho Leijukerrostekniikka poltossa ja sinkkirikasteen pasu-

tuksessa Mikkonen, Jussi Turvetuotanto ja turpeen asema energiana

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Mustonen, Silja Selluloosan kiteisyys ja sen analysointimenetelmät Nousiainen, Toni PID-säätöpiirin kehittäminen johtokyvyn laboratorio-

laitteistossa Oksanen, Kari Hälytysten käsittelyn periaatteet Pulkkinen, Ari Musteen irtoaminen pulpperoinnin jälkeisissä laimen-

nuksissa Raiskio, Joni Turbiinin säätö Takala,Tuomas Soodakattilan automaatio ja turva-automaatio Tervo, Henri Hakevirrasta laskettuun puun kuiva-ainepitoisuuteen

vaikuttavat tekijät Vaara, Annastiina Muovityyppien kestävyys ruostumattoman teräksen

sekahappopeittausliuoksessa, erityisesti fluorivetyhapos-sa

Vettenranta, Niko Profibus PA –kenttälaitteiden toteutus metsoDNA- auto-

maatiojärjestelmässä Visanko, Miikka Korkeaintensiteettisekoituksen vaikutus kierrätysmas-

saan pulpperoinnin jälkeen Vähäkangas, Hannu Kuva-analyysiin perustuva hakkeen dimensioiden ja

värin arvionti

5.2 For the degree of Master of Science in Technology 2010 - 2011 Alapudas, Veli-Matti Process modeling for business simulation (in Finnish)

Hultgren, Matias Comparative study of oxy and air combustion on a pilot

CFB boiler Huotari, Jouni Energy friendly solutions and ways to improve ventila-

tion of power plant processes Keskimölö, Aapo Developing and optimizing the temperature control of

continuous annealing furnace Leinonen, Markus Development of management of technical information in

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the pilot factory of the Department of Process and Envi-ronmental Engineering (in Finnish)

Niskanen, Jani Buying behaviour and market segmentation in field of

optometry (in Finnish) Oksanen, Kari Control room designing principles and methods imple-

mantation (in Finnish) Ruokanen, Pauli Implementation process of geographical information sys-

tem (in Finnish) Simanainen, Hannu Improvement of control solutions in turpentine distilla-

tion plant (in Finnish) Vettenranta, Niko Optimizing the internal consumption of heating plants (in

Finnish) Yli-Kätkä, Jani Control of the hot rolling temperature in the ferritics

stainless steels (in Finnish) Yliselä, Vesa The application of IEC 61850 in power plant projects (in

Finnish) Under progress Pietilä, Juho Importance of chip raw material quality measurement 5.3 For the degree of Licentiate of Science in Technology 2010 - 2011 Under progress Aaltonen, Harri Mass suspension flow disturbances due to friction of dif-

ferent fittings and their significance on the reliability of process measurements (in Finnish)

Kääriäinen, Jari MATLAB:n hyödyntäminen säädön kehittämisessä ja

esivirittämisessä sekä osana sovellusta automaatiojärjestelmässä- case paperikoneen höyry- ja lauhdesysteemi metsoDNA –automaatiojärjestelmässä (in Finnish)

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5.4 For the degree of Doctor of Science in Technology 2010 - 2011 Honkanen, Seppo Modelling of study paths leading to graduation of engi-

neering study – based on study success in secondary school and early phases of studies (in Finnish)

Under progress Bene, Joszef Pump schedule optimization techniques for water distri-

bution systems Hietanen, Tero Prediction of production rate and pulp properties in the

pressure screening of the mechanical pulps Hiltunen, Jukka Description, analysis and synthesis - a new structural

viewpoint on education and research in the engineering sciences

Hultgren, Matias Simulation of Dynamics and Control Solutions of the

Circulating Fluidized Bed Boiler Lerssi, Iikka Modelling and control of combustion power plant Mononen, Jari Identification and modelling of the combustion process in

a thermal power plant Niva, Laura Dynamic modelling and control of oxyfuel combustion

technology Paloranta, Matias Advanced control methods for fluidized bed boilers Tervaskanto, Manne Performance monitoring of pulping processes: experi-

mental modeling approach Yli-Korpela, Antti Enhanced control strategies in continuous cooking runna-

bility

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6 PAPERS AND PUBLICATIONS Articles in international scientific journals

Bene, J., I. Selek, Cs. Hős (2010). Neutral search technique for short-term pump schedule optimization. Journal of Water Resources Planning and Management, 136 (1), pp. 133-137.

Hiltunen, J., E.-P. Heikkinen, J. Jaako and J. Ahola (2011) Pedagogical basis of DAS formalism in engineering education. European Journal of Engineering Education, 36 (1), pp. 75-85. Books or chapters in scientific books Ikonen, E. and K. Leppäkoski (2010) Model-based multivariable control of a second-ary air system using Markov chains. In P. Szentannai (Ed.) Power Plant Applications of Advanced Control Techniques (invited), ProcessEng, Vienna, pp. 163-180. ISBN 978-3-902655-11-0. Kovács, J. (2010): Advances in coordinated control, In P. Szentannai (Ed.) Power Plant Applications of Advanced Control Techniques, Chapter 3. ProcessEng Engineer-ing GmbH, pp. 69-88. ISBN: 978-3-902655-11-0.

Articles in preprints and proceedings of international meetings

Ahvenlampi, T., T. Malmi, M. Liedes and E. Ikonen (2010) Energy efficiency in con-tinuous cooking. IFAC Conference on Control Methodologies and Technology for En-ergy Efficiency (CMTEE 2010), 29-31 Mar 2010, Vilamoura, Portugal. Ikonen, E. and J. Bene (2011). Scheduling and disturbance control of a water distribu-tion network. IFAC World Congress 2011, 28 Aug – 2 Sept 2011, Milano, Italy. Ikonen, E., I. Selek and M. Tervaskanto (2010). Short-term pump schedule optimiza-tion using MDP and neutral GA. IFAC Conference on Control Methodologies and Technology for Energy Efficiency (CMTEE 2010), 29-31 Mar 2010, Vilamoura, Portu-gal. Kovács, J. (2011): Advances in co-ordinated control. 10th Jubilee International Con-ference on Heat Engines and Environmental Protection, Subtitle: The Role of Renew-ables in Energy Generation, May 23-25, 2011. Balatonfüred, Hungary. (Invited lecture) Lohiniva, L. and K. Leppäkoski (2010) Preliminary Dependence Analysis of Process Variables: A Case Study of a Bubbling Fluidized Bed Boiler In: Proc. IFAC Confer-ence on Control Methodologies and Technology for Energy Efficiency, Vilamoura, Portugal, March 29-31 2010.

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Lohiniva, L. and K . Leppäkoski (2011) Tentative Dependence Analysis of Process Variables in a Circulating Fluidized Bed Boiler In: Proc. The 31st IASTED Interna-tional Conference on Modelling, Identification, and Control, Innsbruck, Austria, Feb-ruary 14-16 2011. Luna, J.C., E. Gomez-Ramirez, K. Najim and E. Ikonen (2011) Forecasting time se-ries with a logarithmic model for the polyniomial artificial neural networks. Interna-tional Joint Conference on Neural Networks (IJCNN 2011), 31 July – 5 August, 2011, San Jose, CA, USA. Slaven K, P.R. Requena, J. Kovács, J. Lappalainen, A. Tourunen (2011): Control chal-lenges faced by the Flexiburn project incorporating CFB, supercritical once through steam cycle, flexible fuels and air or Oxy firing with CO2 sequestration in a CCS power plant. In Proceedings of 2nd Oxyfuel Combustion Conference, 12-16 Septem-ber, 2011. Australia. Tervaskanto, M. and E. Ikonen (2010) Generalized Predictive Control of CTMP Re-fining with Model-Based Consistency Control. Proceedings of International Control Systems Conference 2010, 15-17 Sept 2010, Stockholm, Sweden. p. 43-48 Tervaskanto, M. and E. Ikonen (2010) Multivariable generalized predictive control of CTMP refining. Proceedings of International Control Systems Conference, 15-17 Sept 2010, Stockholm, Sweden.

Articles in journals, preprints or proceedings of national meetings

Ahvenlampi, T., E. Ikonen and L. Lohiniva (2010). Energiatehokkuutta etsimässä – IFAC CMTEE 29.-31.3.2010, Vilamoura, Portugali – IFAC Conference on Control Methodologies and Technology for Energy Efficiency. Automaatioväylä, 25, no 4, p. 42. Ahvenlampi, T., T. Malmi and E. Ikonen (2010) Modelling and simulation of contin-uous cooking process. 51st Conference on Simulation and Modelling (SIMS 2010), 14-15 Oct 2010, Oulu, Finland. Ahvenlampi, T. and E. Ikonen (2010) Literature survey on development of O&M so-lutions with integration of condition and process monitoring. 51st Conference on Simu-lation and Modelling (SIMS 2010), 14-15 Oct 2010, Oulu, Finland. Ahvenlampi, T., P. Leinonen, M. Aunio and E. Ikonen (2010). Monitoring of turbine conditions with integration of condition monitoring and process measurements in in-dustrial application. 51st Conference on Simulation and Modelling (SIMS 2010), 14-15 Oct 2010, Oulu, Finland. Ikonen, E., J. Kovács, K. Leppäkoski and L. Lohiniva (2010). Säätö- ja systeemi-tekniikan näkökulmaa voimalaitosautomaatioon. Automaatioväylä 7/2010, p. 8-10.

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Ikonen, E. and J. Bene (2010). Optimal control of pumps in water distribution net-work under demand uncertainties. Conference on Simulation and Modelling (SIMS 2010), 14-15 Oct 2010, Oulu, Finland. Leppäkoski, K. and L . Lohiniva (2010) Use of self-organizing maps in studying ordi-nary air emission measurements of a power plant. Clean air research at the University of Oulu. Proceeding of the SkyPro conference, June 3rd, 2010, University of Oulu, Finland. p. 129-132. Leppäkoski, K. and J. Mononen (2010) Use of simulation in investigation of a fuel feeding system in a power plant. 51st Conference on Simulation and Modelling, 14-15 October 2010 Oulu, Finland.

Articles published in laboratory series or other material

Aaltonen, H. (2010) Activity report from 1.1.2007 to 31.12.2009. Report C 33, Oulun yliopisto, 2010. 32 p. Ahvenlampi, T. (2010) Käynnissäpidon parantaminen kunnonvalvonnan ja prosessien monitoroinnin sekä niiden yhdistämisen avulla – kirjallisuusselvitys, Report A 33, Oulun yliopisto, 2010. 62 p. Jaako J., J. Ahola, E. P. Heikkinen and J. Hiltunen (2010) Teekkareiden opintojen ohjaaminen. Säätötekniikan laboratorio. Report B 70, Oulun yliopisto, 2010. 20 p. Tervakanto, M. (2010) PID-säädön perusteet. Report A 32, Oulun yliopisto, 2010. 98 p.

7 PARTICIPATION TO CONFERENCES & MEETINGS Enso Ikonen participated in - Vilamoura, Portugal, March 29-31 2010, IFAC Conference on Control Methodolo-

gies and Technology for Energy Efficiency - IFAC World Congress 2011, 28 Aug – 2 Sept 2011, Milano, Italy - IFAC Conference on Control Methodologies and Technology for Energy Efficien-

cy (CMTEE 2010), 29-31 Mar 2010, Vilamoura, Portugal - 51st Conference on Simulation and Modelling (SIMS 2010), Oulu, 14-15 October,

2010 - Clean air research at the University of Oulu. Proceeding of the SkyPro conference,

June 3rd, 2010, University of Oulu, Finland Jenő Kovács participated in - Advances in co-ordinated control. 10th Jubilee International Con-ference on Heat

Engines and Environmental Protection, Subtitle: The Role of Renewables in Ener-gy Generation, May 23-25, 2011, Balatonfüred, Hungary

- 51st Conference on Simulation and Modelling (SIMS 2010), Oulu, 14-15 October, 2010

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- Suomen Automaatioseura KEHITTYVÄ ENERGIANTUOTANTO 2.-3.11.2010, Hki

Timo Ahvenlampi participated in - 51st Conference on Simulation and Modelling (SIMS 2010), Oulu, 14-15 October,

2010 - IFAC Conference on Control Methodologies and Technology for Energy Efficien-

cy (CMTEE 2010), 29-31 Mar 2010, Vilamoura, Portugal. Kimmo Leppäkoski participated in - 51st Conference on Simulation and Modelling (SIMS 2010), Oulu, 14-15 October,

2010 - Clean air research at the University of Oulu. Proceeding of the SkyPro conference,

June 3rd, 2010, University of Oulu, Finland Laura Niva participated in - Vilamoura, Portugal, March 29-31 2010, IFAC Conference on Control Methodolo-

gies and Technology for Energy Efficiency - Innsbruck, Austria, February 14-16 2011, The 31st IASTED International Confer-

ence on Modelling, Identification, and Control - 51st Conference on Simulation and Modelling (SIMS 2010), Oulu, 14-15 October,

2010 - Clean air research at the University of Oulu. Proceeding of the SkyPro conference,

June 3rd, 2010, University of Oulu, Finland

Manne Tervaskanto participated in - Proceedings of International Control Systems Conference, 15-17 Sept 2010, Stock-

holm, Sweden

8 VISITORS AND VISITS VISITORS Hosted: Javier Sanchis, UPV-CPOH (Spain), 19-25 Sept 2011 Hosted: Csaba Hös, BUTE HDS (Hungary), 16-19 May 2011 Csaba Janos HÕS, PhD, Assistant Professor, Budapest University of Technology and Economics, Department of Hydrodynamic Systems, visit time: 17-18 May 2011 VISITS Laura Niva visited in Paris, SUPELEC, April 26-28 2011, Course on Model Predic-tive Control (European Embedded Control Institute, Graduate School on Control)

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9 OTHER ACTIVITIES Enso Ikonen was a member of: - IFAC Technical Committee on Adaptive and Learning Systems, IFAC TC 1.2

(2006-2009, 2010-2012, 2013-2015) - a member of Suomen Automaatioseura ry (Finnish Society of Automation), 2004- - a member of Working group for doctoral study development – JOPOKKI, Univer-

sity of Oulu (2009-2011) acted as a reviewer for journals: - Periodica Polytechnica - Control and Intelligent Systems - Computers & Chemical Engineering - Thermal Science was a member of the international programme committee, or a reviewer for - 20th Mediterranean Conference on Control and Automation, 3-6 July 2012, Barce-

lona (MED2012, 2012). IPC member & associate editor - 16th IEEE International Conference on Emerging Technologies and Factory Auto-

mation (IEEE ETFA), 5-9 Sept 2011, Toulouse (2011) - Suomen Automaatioseuran XIX Automaatioseminaari, 15–16.3.2011, Helsinki

(2011) - IEEE International Conference on Systems, Man, and Cybernetics (SMC2011), 9 -

12 Oct 2011, Anchorage, USA (2011) - IFAC Workshop on Adaptation and Learning in Control and Signal Processing

(ALCOSP 2010), 26-28 Aug 2010, Antalya, Turkey (2009-2010) - IEEE International Conference on Systems, Man, and Cybernetics (SMC2010), 10

- 13 Oct 2010, Istanbul, Turkey (2010) - Conference on Control and Fault-Tolerant Systems (SysTol'10) - 22nd Chinese Control and Decision Conference (2010 CCDC) 2010 evaluation of PhD:

- Ph.D. thesis external evaluator: Polytechnical University of Valencia - ISA. Lauri. D (2011) MPC: Relevant identification, and control in the latent variable space

- Ph.D. thesis pre-examination: University of Eastern Finland. Niska, H. (2010): Computational tools for processing and modeling of environmental data

other: - visited Docent K. Najim, Toulouse (France), 4-13 Sept 2011

Jenő Kovács - a member of Suomen Automaatioseura ry (Finnish Society of Automation), 1998- - a chairman of the Nordic Working Group on Process Control (NPC), 2010- - R&D Department of Foster Wheeler Energia Oy (75 %) - a reviewer for international scientific journals:

• Thermal Science - a reviewer for international scientific conferences:

• Power Engineering and Automation Conference (PEAM 2011)

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• 9th European Workshop on Advanced Control and Diagnosis (ACD 2011) Jukka Hiltunen

- a head of the Department of Process and Environmental Engineering (1.8.2006 -) - a vice-chairman and a member of the Board of the Finnish Society of Automation - a member of the Training Committee of the Finnish Society of Automation - a member of the Department Council in the Department of Process and Environ-

mental Engineering - a chairman and a coordinator of the curriculum reform work group in the Depart-

ment of Process and Environmental Engineering - a representator of the Faculty of Technology in the University of Oulu in projects

concerning technological education - a chairman in the teaching development team in the Department of Process and

Environmental Engineering Harri Aaltonen - a member of Suomen Automaatioseura ry (Finnish Society of Automation), 1998- Matias Hultgren - a member of Suomen Automaatioseura ry (Finnish Society of Automation), 2011- Laura Niva - a member of Suomen Automaatioseura ry (Finnish Society of Automation), 2009- - GETA (Graduate School in Electronics, Telecommunications and Automation)

2010-2014 Manne Tervaskanto - a part time teacher in the Oulu University of Applied Sciences - a member of Suomen Automaatioseura ry (Finnish Society of Automation), 2000- Bilateral Agreements and Erasmus exchange programs of the Systems Engineer-ing Laboratory - Ecole Nationale Supérieure des Ingénieurs en Arts Chimiques et Technologiques,

Laboratoire de Contrôle des Procédés, Toulouse, France (E.N.S.I.A.C.E.T

- Budapest University of Technology and Economics, Hungary, Faculty of Mechani-cal Engineering, Department of Informatics and Management and Control

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- Budapest University of Technology and Economics, Hungary, Faculty of Electrical Engineering, Department of Automation and Applied Information

- Budapest University of Technology and Economics, Hungary, Faculty of Electrical Engineering, Department of Measurement and Information Systems,

- Universidad Politecnica de Valencia, Spain, Dep.Ing. de Sistemas y Automatica - University of Hannover, Germany, Institute of Automatic Control