Software Package for Optimization of Burner Devices on Dispersed Working Fluids
Ruslan V. Fedorov,
No information about this author
I.I. Shepelev,
No information about this author
Mariia A. Malyoshina
No information about this author
et al.
Energies,
Journal Year:
2025,
Volume and Issue:
18(4), P. 806 - 806
Published: Feb. 9, 2025
Taking
into
account
the
approaches
to
ecology
and
social
policy,
development
of
technologies
for
optimizing
combustion
process
thermal
power
plants,
one
key
sources
greenhouse
gas
emissions,
is
relevant.
This
article
analyzes
that
improve
efficiency
in
as
well
speed
up
various
operating
modes.
Particular
attention
paid
control
fuel
composition
geometric
parameters
a
burner
device.
Optimal
settings
these
can
significantly
impact
reduction
harmful
emissions
atmosphere,
though
finding
such
labor-intensive
requires
use
modern
automation
data
processing
tools.
Nowadays,
main
methods
analyze
optimize
characteristics
are
machine
learning
based
on
artificial
neural
networks
(ANNs),
which
used
this
work.
These
also
demonstrate
combination
with
optimization
method.
Thus,
environmental
footprint
meets
requirements.
The
obtained
results
show
most
significant
effect
NOX
content
has
mass
flow
rate
change
primary
air
parameters.
decrease
concentration
comparison
calculation
basic
values
about
15%.
Language: Английский
Multi-time scale cooperative operation optimization of virtual power plant and virtual hydrogen plant under stepped carbon trading mechanism
Yida Du,
No information about this author
Xiaotong Zhou,
No information about this author
Tiantian Xu
No information about this author
et al.
Renewable Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 123104 - 123104
Published: April 1, 2025
Language: Английский
Risk-Averse Distributionally Robust Optimization for Resilient Biomass Supply Chain Network Design
Industrial & Engineering Chemistry Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 7, 2025
Language: Английский
Weekly economic scheduling of virtual power plant with electric vehicles: Deep-learning-based prediction and daily operation mode classification
Electric Power Systems Research,
Journal Year:
2024,
Volume and Issue:
241, P. 111362 - 111362
Published: Dec. 23, 2024
Language: Английский
Data-driven modeling of the aggregator-based price-maker virtual power plant (VPP) in the day-ahead wholesale electricity markets; evidence from the Japan Electric power Exchange (JEPX) market
International Journal of Electrical Power & Energy Systems,
Journal Year:
2024,
Volume and Issue:
164, P. 110433 - 110433
Published: Dec. 23, 2024
Language: Английский