ACS Engineering Au,
Journal Year:
2023,
Volume and Issue:
4(1), P. 4 - 21
Published: Nov. 6, 2023
The
supply
of
the
heat
required
for
chemical
processes
via
renewable
electricity,
i.e.,
process
electrification,
provides
an
alternative
strategy
replacing
conventional
fossil
fuel
combustion.
This
approach
enables
fast,
selective,
and
uniform
heating,
offers
great
potential
utilizing
excess
electric
energy,
brings
about
important
chance
mitigating
CO2
emissions.
In
this
work,
we
provide
overview
state-of-the-art
electricity-to-heat
driven
catalytic
processes.
principle
fundamentals
Joule
heating
are
provided
briefly
compared
to
induction
microwave
in
view
electrifying
By
comparison,
assess
that
can
be
regarded
as
most
promising
method
its
applications
methane
reforming,
cracking
reactions,
valorization,
transient
operation
then
reviewed.
Advantages
disadvantages
critically
addressed
terms
efficiency,
scale-up
possibility
retrofitting.
current
challenges
development
advanced
electrified
well
opportunities
next
generation
electrification
techniques
discussed.
Protection and Control of Modern Power Systems,
Journal Year:
2023,
Volume and Issue:
8(1)
Published: July 11, 2023
Abstract
A
coordinated
scheduling
model
based
on
two-stage
distributionally
robust
optimization
(TSDRO)
is
proposed
for
integrated
energy
systems
(IESs)
with
electricity-hydrogen
hybrid
storage.
The
problem
of
the
IES
divided
into
two
stages
in
TSDRO-based
model.
first
stage
addresses
day-ahead
optimal
under
deterministic
forecasting
information,
while
second
uses
a
method
to
determine
intraday
rescheduling
high-order
uncertainties,
building
upon
results
stage.
also
considers
collaboration
among
electricity,
thermal,
and
gas
networks,
focusing
economic
operation
carbon
emissions.
flexibility
these
networks
gradient
utilization
hydrogen
units
during
are
incorporated
To
improve
computational
efficiency,
nonlinear
formulations
properly
linearized
obtain
Mixed-Integer
Linear
Programming
Column-Constraint
Generation
(C&CG)
algorithm
then
employed
decompose
master
subproblems.
Through
iterative
solution
subproblems,
an
efficient
analysis
achieved.
Finally,
effectiveness
verified
through
case
studies.
simulation
demonstrate
that
can
effectively
accomplish
task
considering
uncertainty
system.
Compared
traditional
methods,
better
balance
conservativeness
robustness.
