EUREKA PROJECT > 3692 APROMOCS
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GERMANY
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GERMANY
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LITHUANIA
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LITHUANIA
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LITHUANIAADVANCED PROCESS MONITORING AND CONTROL SYSTEMS FOR WASTEWATER TREATMENT PLANTS
DEVELOPMENT OF ADVANCED PROCESS MONITORING AND CONTROL SYSTEMS TO REDUCE EXPENSES BY ANAEROBIC SLUDGE DIGESTION AND AEROBIC SEWAGE TREATMENT PROCESSES, IMPROVE PROCESS STABILITY AND PROVIDE ON-LINE INFORMATION ON PROCESS FAULTS.
Status > FINISHED - 02-Nov-2009 Technological Area Market Area Start Date > 01-Mar-2006 Duration > 44 Months Participating countries > LITHUANIA, GERMANY | Main contactKAUNAS UNIVERSITY/PROCESS CONTROL DEPARTMENT
PROF. RIMVYDAS SIMUTIS > DIRECTOR Organisation type > University |
Project Description
Increasing demands on effluent quality and increasing loads combined with a shortage of land area call for improved monitoring, control and optimisation of wastewater treatment plants. Applied research in advanced process control and measurement systems is very important in achieving high overall plant performance. The main objectives in controlling municipal wastewater treatment plants are to achieve maximum purification at minimum costs - energy and chemical additions - and to maintain relevant microbial populations within the plant. At present, up-to-date advanced control algorithms are widely applied in different strategic technical systems. The application of these algorithms allows for increasing accuracy, dynamics and stability in process control systems. Recently, advanced process control systems have also often been used to control the processes at wastewater treatment plants. In the proposed project we plan to create, develop and check a number of advanced process control algorithms, which will result in the increased efficiency and stability of wastewater treatment processes. Advanced control systems are very important in wastewater treatment processes for several reasons: - The processes are time-varying. There are the biological processes, where temperature, composition of influent water, amount of biomass etc. vary in time; - The processes are non-linear; - The processes have stiff dynamics. They have time constants that range from seconds to months; - The processes are multivariable. The processes have several inputs and outputs; - Large disturbances act on the processes. To create effective advanced control systems, different additional tasks must also be carried out: - The detailed analysis of wastewater treatment processes must be conducted and adequate process models must be created; - Indirect measuring methods for important process variables must be developed; - Reactions of process to different process disturbances using a process simulator must be analysed and simulated; - Parameters of the proposed advanced control systems must be determined. After having performed the required research, the following advanced process control systems are planned to be created: a) Advanced anaerobic sludge digestion process control system with the goal being to increase the efficiency of the anaerobic sludge digestion process. b) Advanced control system for aerobic sewage treatment process: the proposed system will make it possible to reduce expenses upon completion of the aerobic sewage treatment process. The system will estimate on-line the optimal concentration of the dissolved oxygen in tanks and adjust the optimal air supply to the tanks, depending on the cleaned water conditions. Keywords: advanced control, sewage treatment, self-tuning systems.
Technological Development Envisaged
After having performed the required research, the following advanced process control systems are planned to be created: a) Advanced anaerobic sludge digestion process control system with the goal being to increase the efficiency of the anaerobic sludge digestion process. The focus of this project is not limited to the main sludge digestion process. The influence of the side processes like the processes before and after the main sludge digestion process must also be researched. The advanced anaerobic sludge digestion process control system will allow the user-defined process performance index to be minimized, using data from measurement sensors and indirect measurement results. The search for this minimum will be performed in such a way that it satisfies the envisaged process limits and maintains the user-defined process quality. The control system will continuously determine optimal values of the main process variables and maybe the side process variables - the set-point temperature for the sludge digestion process and the input/output sludge flows. It is experimentally known, that by increasing the temperature of the conducting process it is possible to increase the reaction rates of the sludge digestion process. On the other hand, by developing this process, energy costs are also increased. Thus the optimum temperature of the conducting process and the optimum means of flows of submitted and removed components vary depending on external conditions and the flows of processed sludge. The proposed system will establish the optimum means of these entire variables that determine the sludge digestion process in real-time mode. The developed advanced anaerobic sludge digestion process control system will be easily able to integrate into the normal wastewater treatment plant process of several wastewater treatment plants. b) Advanced control system for aerobic sewage treatment process: The proposed system will make it possible to reduce expenses upon completion of the aerobic sewage treatment process. The system will estimate on-line the optimal concentration of the dissolved oxygen in tanks and adjust the optimal air supply to the tanks, depending on the cleaned water conditions. It is experimentally known, that by maintaining the high concentration of dissolved oxygen in tanks, it is possible to increase the velocity of biochemical reactions. However, this is connected to the large expenses of energy. On the other hand, a low concentration of dissolved oxygen results in a decrease in the velocity of biochemical reactions. Thus, the proposed system will continuously define such concentrations of the dissolved oxygen, which, depending on a condition of process will enable expenses on the conducting process to be reduced and ensure necessary changes. Note under relationship to other EU Programmes: * LEONARDO DE VINCI's Programme Project 'Troubleshooting on Mechatronics Systems'. * EUREKA project E! 2374 FACTORY-HYBTUNE 'Hybrid Intelligent Methods for Modelling and Tuning of CRT Deflection Yoke Systems'.
Main contactBAMBERG SEWAGE TREATMENT PLANT DIPL. ING. ANDREAS JESSEN > HEAD OF THE DEPARTMENT DEWATERING Organisation type > SME |
Contribution to project
This group will help to describe and model the anaerobic sludge digestion process and be the consultant for the layout and functions of the pilot automatic control system. They will also run and help test the pilot application.
Expertise
This group is the end-user of the new control system. The factory is equipped with modern control systems, with the engineers constantly carrying out research into the optimisation of technological modes and the creation of new measurement engineering. They create ideal conditions for the successful realisation of the project and the effective application of its results.
Main contactENGINEERING CONSULTANTS PFENNING MR. WILHELM PFENNING > OWNER Organisation type > SME |
Contribution to project
This group will help in developing the process algorithms and work on the pilot automatic control systems. They will create the practical software and hardware needed to implement the developed methods in industrial anaerobic sludge digestion process and will introduce it into wastewater treatment plants.
Expertise
This Engineering Consultancy was founded in 1979. Its business segments are the development and application of new automation technologies for wastewater treatment plants and sewage networks, automation of technological processes and pump stations and project consultancy.
Main contactKAUNAS WASTEWATER TREATMENT PLANT DIPL.-ING. VALIUS JUODIS > DEPUTY HEAD Organisation type > Large company |
Contribution to project
- Development/realisation of experiments/special equipment for wastewater treatment control systems. - Consulting/advising role to obtain the latest knowledge of measurement techniques for wastewater plants. - Application of results.
Expertise
End-user in this project. The factory is equipped with modern control systems, with the engineers constantly carrying out research into the optimisation of technological modes and the creation of new measurement engineering. They create ideal conditions for the successful completion of the project and the effective application of its results.
Main contactELINTA UAB
PH.D. VYTAUTAS JOKUZIS > DIRECTOR Organisation type > SME |
Contribution to project
Will work on pilot automatic control systems, create the practical tools/software needed to implement the developed methods in industrial wastewater treatment plants, and introduce new methods in other wastewater treatment plants.
Expertise
Established in 1991 with a special focus on the: - development/application of new automation technologies; - control and automation of technological processes; - development of new measurement methods; - consultancy activities. The main field of activities is creating and implementing automation and control parts of different control systems or equipment in various branches: - food industry, chemical industry, water supply; - light industry; - electronics industry; - power and heat generation; - oil industry and others. Examples of their devices include: - Equipment for control of quality and adjustment of electromagnetic deflection coils for TV monitors, based on digital image processing and neural network algorithms; - Portable measurement device for controlling the length of loops of knitwear material in light industry; - Linear CCD video cameras; - devices for controlling dimensions of different types of products. One of their main fields of activities is the design and production of specialised devices for digital image or data processing, to be produced in small series. Qualification of employees: Doctor's degree -2, University education - 41. Higher technical education - 8. 12 people have official certificates as project and site managers in process and production automation, electro techniques and communications issued by the MINISTRY OF THE ENVIRONMENT of LITHUANIA. 24 people have qualification certificates from partner companies (SIEMENS, RITTAL, PHOENIX CONTACT, VEGA, FLUKE). Average age - 31 years. CERTIFICATES: 1. Certificate for project works in the automation field for objects with voltage up to 10 kV (kilovolt), including objects subject to explosion hazards and objects with special significance, issued by the MINISTRY OF THE ENVIRONMENT of LITHUANIA; 2. Certificate for assembly, installation, start-up and maintenance works in the automation field for objects with voltage up to 1,000 V, issued by the State Energy Inspection department of THE MINISTRY OF THE ECONOMY of LITHUANIA. Quality control certificate ISO 9001.
Main contactKAUNAS UNIVERSITY/PROCESS CONTROL DEPARTMENT
PROF. RIMVYDAS SIMUTIS > DIRECTOR Organisation type > University |
Contribution to project
The main task of the group will be the development and testing of algorithms and methods for process monitoring, state estimation and intelligent control of wastewater treatment plants. This group will run the Project, create effective measuring methods for the process parameters, create effective process control algorithms, test them with process simulators, and offer concrete schemes, models and algorithms for effective increases in process control systems at the KAUNAS WASTEWATER TREATMENT PLANT.
Expertise
The scientists at the University have vast experience in the fields of: - Inferential estimation and control; - Nonlinear and adaptive control systems; - Hybrid modelling techniques; - Databased modelling using neural networks; - Modelling of various multi-parametric processes in the biotechnology and food industry; - Development and optimisation of control algorithms; - Implementation of control algorithms using modern control systems; - Optimisation and control of biotechnological processes. RESEARCH PROJECTS: Eureka project E!2522 'Optimised complex technology of clean-up of soil contaminated by oil pollutants (OPTI-SOILCLEAN )'. EUREKA project E!2374 'Hybrid intelligent methods for modelling and tuning of CRT (cathode ray tube) deflection yoke systems (HYBTUNE)'. OTHER ACTIVITIES: The research interests of the group are closely focused on industrial needs, therefore links have been established with industrial companies (BIOCENTRAS LTD, FERMENTAS LTD, SICOR BIOTECH LTD, SC ACHEMA subsidiary SISTEMATIKA, ELINTA LTD, SIEMENS LTD, LIMATIKA LTD, AGAVA LTD, SC VINGIS, LITHUANIA), and the Institute of Biotechnology, Martin-LUTHER UNIVERSITY HALLE-WITTENBERG, GERMANY. Prof. Dr. Habil. D. Levisauskas is a member of the Lithuanian Association of Biotechnologists, the European Federation of Biotechnologists and is a reviewer of the journal 'Computers & Chemical Engineering'. Prof. Dr. Habil. R. Simutis is an expert-member of the Lithuanian Science Council, a member of editorial board of the journal 'Information Technology and Control', and is a reviewer of the journal 'Intelligent and Fuzzy Systems'.
Main contactAPPLIED SCIENCES UNIVERSITY SCHMALKALDEN - FACULTY OF ELECTRICAL ENGINEERING PROF. DR. ING. ELMAR HEINEMANN > PROF. FOR AUTOMATION TECHNOLOGY Organisation type > University |
Contribution to project
The main task of the group will be the modelling, developing and testing of algorithms and methods for process monitoring, state estimation and intelligent control of an anaerobic sludge digestion process. They will also create the software needed to implement the developed methods into a pilot anaerobic sludge digestion control system in addition to testing its functions.
Expertise
The scientists at the faculty have vast experience in the field of modelling, controlling and optimising processes. They have also carried out a number of scientific research studies in the field of modelling, controlling and optimising water treatment processes.