Mahdi
Shahbakhti,
Associate
Professor,
Mechanical
Engineering
–
Engineering
Mechanics,
Michigan
Tech
ABSTRACT
Control
of
complex
energy
systems
requires
knowledge
of
multi-physics
system
dynamics
and
integration
of
this
knowledge
into
controller
design.
Model-based
control
techniques
provide
a
viable
solution
to
reduce
the
development
time
and
improve
the
performance
and
robustness
of
controllers
for
energy
systems.
In
this
talk,
innovative
model-based
control
techniques
are
illustrated
for
various
complex
energy
systems
including
building
heating
ventilation
air
conditioning
(HVAC)
systems,
building
to
power
grid
operating
systems,
and
hybrid
electric
vehicles.
A
majority
of
the
existing
controllers
for
energy
systems
are
based
on
the
First
Law
of
Thermodynamics
(FLT).
These
FLT
energy-based
controllers
cannot
provide
maximum
efficiency
for
energy
systems
due
to
the
limited
knowledge
that
can
be
derived
from
FLT.
Alternatively,
exergy
is
the
available
energy
to
do
work;
it
is
defined
based
on
the
First
and
Second
Laws
of
Thermodynamics
and
determines
the
sources
of
deficiency
in
a
system.
Exergy-wise
controllers
can
provide
ultimate
energy
conversion
efficiency
by
minimizing
exergy
destruction
and
reducing
irreversible
entropy
generation
in
a
system.
In
this
talk,
a
novel
exergy-wise
control
framework
is
introduced.
The
exergy-wise
control
framework
is
generic
and
applicable
to
all
energy
systems.
The
benefit
of
the
proposed
framework
will
be
demonstrated
for
energy
systems
in
the
transportation
and
building
sectors,
which
combined
consume
59%
of
the
total
energy
in
the
world.