PSE subjects
PSE subjects
modelling of physical chemical systems
plant = hierarchical agglomeration of subsystems
dynamics = conservation
accumulation = net flow accross boundary + transposition
transport
grad pressure -> convective mass/volume flow
grad temp -> heat, radiation
grad chem pot -> mass diffusion
transposition
phase change
reactions
energy conversion
state-variable transformations
thermodynamics
definition of intensities
geometries
separation of flow systems
simple stationary flow
complex flow (static/dynamic)
advanced modelling
networks
time scale assumptions
other model reduction methods
distributed systems approximations
finite difference
finite element
collocation
proper orthogoal decomposition
fluid flow
process design
plant simulation
economics
optimisation
HAZOP
process control
simulation of dynamic processes
controller -> modification of dynamics
impose a dynamic behaviour
reject parasitic excitations, distrurbances
control structures
open loop
perfect control -> inverse of the plant
closed loop
hierarchical systems, cascades
simple plants (SISO)
first, second order combined with dead time
fixed structure controller
on-off
PID
"advanced" control
model-based control
model predictive control
combination with optimisation
off-line optimisation
real-time optimisation
optimising control
combination with identification
adaptive control
self tuning
DEDS system control
automata
Petri nets
formal language approaches
interval arithmetics
ladder logics
PSE (utilities)
plant-process fitting
static: parameter fitting
regression
design of experiments
dynamic: process identification
parameter identification
optimisation
analytical methods
surface search methods
numeric methods
root searching
integration
explicit solvers
implicit solvers
issue : event detection
computing
a language: Python
domain specific languages/systems
Control: MatLab/Simulink
Plant design: Aspen / HySys
Advanced plant design: HySys/UniSim/gProms
on-the-large
data bases
real time
GUI support
