SYSTEMS ENGINEERING SYSTEEMITEKNIIKAN TUTKIMUSYKSIKKÖ. Enso Ikonen professori, säätö- ja systeemitekniikka

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1 SYSTEMS ENGINEERING SYSTEEMITEKNIIKAN TUTKIMUSYKSIKKÖ Enso Ikonen professori, säätö- ja systeemitekniikka

2 Systems Engineering Säätö- ja systeemitekniikan professuuri [ ]: Alan täsmennys on säätö- ja systeemitekniikan teoria ja menetelmät sekä sovellukset, sovellukset erityisesti energiatekniikassa. Process Dynamics Control Theory Automation Systems Systems Engineering Theory and Methods of Control and Systems Engineering Power Plant Automation Dynamic Energy Networks (PYO ) Engineering Education

3 Systems Engineering Methods of control and systems engineering Identification/ learning systems Automation Engineering Bayesian state estimation (KF, UKF, PF) Computational intelligence (GA, SNN, SOM...) Model predictive control (MPC) Optimization of dynamic systems (ADP) Plant wide control (SOC) Uncertain systems control & systems engineering methods & algorithms (MPC, AI/CI) SYTE process control applications power plant automation engineering education Control System Analysis & Design Advanced Methods of Control and Systems Engineering Process Information Systems Power Plant Automation MSc & BSc works Engineering Education

4 Systems Engineering Power plant automation Circulating fluidized bed combustion (CFB) control & systems engineering methods & algorithms SYTE power plant automation (CFB control) Once-through boilers (OTU) Oxyfuel combustion Hybrid (solar-fossil) plants engineering education Amec Foster Wheeler Energia cooperation process control applications (dynamic energy networks) Water distribution District heating Pulp digester Energy automation in buildings production-storage-consumption

5 Advanced methods applied to energy systems Recent & on-going projects at Systems Engineering CFB process control CFBCON (a series of projects) CFB power plants dynamic modeling, control, optimization & analysis tools HOPE (hot-loop parameter estimation) analysis of test campaing data; state/parameter estimation Bayesian estimation: UKF, PF COMBO-CFB solar-cfb hybrid modeling, MPC, multi-objective optimization PWC (plant wide control) oxy/air CFB; PhD student self-organizing control IPCD (integrated plant & control design) OTU-CFB; PhD student D/RGA-methods, etc in cooperation with Foster-Wheeler (Amec FW) Dynamic energy networks OPUS (Water distribution networks) optimal pump scheduling using water towers short-term optimization, using MDP, ADP DINO (District heating networks) DH dynamic modeling model calibration & shortterm operational optimization VIRPA-B (Energy optimization in large buildings) grocery store refrigerators as storages shop integration & balancing power markets modeling & optimization of storage dynamics

6 Samples of research at Systems Engineering Modelling State estimation Optimal control

7 Modeling of district heating networks DHN modeling hydrodynamics pressures & flows in pipelines pumps, valves pseudo-steady-state heat flow dynamics heat propagation, delays heat losses to ground storages consumer behavior consumption predictions local primary secondary controls heat production main/peak/reserve boilers CFB, oil burners, gas,... external heat sources industrial waste heat operation costs & constraints DHN-simulation full Kemi network toy network

8 DH as a part of an agile energy system Applications for DH network modelling & optimization toolbox Fitting..... production & consumption using network as a storage..renewable & local production wind, solar surplus intermittant electrical-to-thermal conversions local production two-way heat production...additional storage components examination of operation with new components in DH networks tanks, caves storage in buildings...consumer flexibility large consumers (commercial centers, offices,...) flexible consumers (street heating, swimming pools,...) industrial users blocks of flats, small business detached houses public acceptance...to daily operation other (chemical, mechanical,...) Boiler agility new control specifications to controllable boilers? improved flexibility, agility DHN point-of-view constraints operation at low loads flexibile boilers with storages CHP CFB (FB) circulating fluidized bed integrated process & control design plant-wide control virtual power plants flexibile boilers with hybrid constructions boilers in an energy production netowork DH network operational agility tight dynamic control of production/ network/ storage/ consumer system for....active loading/unloading control..active storage control..optimal stochastic control of unertain future consumption/production..buffer against disturbances/ intermittant production

9 Hot-loop parameter estimation analysis of data from plant test campains model-based state estimation full scale physical dynamic model PF & UKF fuel moisture, heat transfer coeff. a tool for data analysis in cooperation with Amec Foster-Wheeler

10 HOPE example simulations (fuel moisture vs. flue gas O 2 ) fixed params fixed at intervals PF

11 FADP non-linear non-minimum phase CSTR optimal control noise in product concentration and reactor temperature + random walk in feed temperature

12 Plant wide control of CFB self-optimizing control (Skogestad)

13 Water distribution networks

14 Demand side management in large buildings modeling of grocery store energy system (potential of participation) energy (electricity) markets power control reserves balancing power ELSPOT (day-ahead), ELBAS energy saving vs peak shifting vs balancing power integrated grocery stores, renewable/own production, digitalization aspects

15 COMBO-CFB Modeling: tube model for OTU- CFB with varying tube parameters Control: of nonlinear plant (MPC) (Hybrid) process design based on control aspects: minimize L2 gain - action/disturbance

16 COMBO-CFB

17 Please visit our poster site: contact info, topics, papers Kemi DH network simulations (video) Tuira grocery store simulator (demo)