Energies,
Год журнала:
2023,
Номер
16(18), С. 6626 - 6626
Опубликована: Сен. 14, 2023
With
the
increasing
depth
of
metal
mining,
thermal
damage
has
become
a
serious
problem
that
restricts
mining.
The
management
system
refrigeration
and
ventilation
is
an
indispensable
technology
in
mining
deep
mines,
which
plays
key
role
improving
humid
environment
mines.
Optimizing
performance
systems
to
reduce
energy
consumption
focus
researchers’
attention.
Based
on
heat
current
method,
this
research
establishes
overall
transfer
flow
constraint
model
system,
proposes
iterative
algorithm
combines
refrigerator
artificial
neural
network
exchangers.
Lagrange
multiplier
method
used
optimize
with
goal
minimizing
total
power
system.
results
show
under
9.1
kW
cooling
load
conditions,
reduces
by
16.5%,
COP
increases
11.6%.
optimization
provide
significant
guidance
for
production
reduction
Applied Thermal Engineering,
Год журнала:
2023,
Номер
235, С. 121253 - 121253
Опубликована: Авг. 5, 2023
Literature
search
across
different
databases
showed
that
the
application
of
artificial
intelligence
(AI)
in
heating,
ventilation
and
air
conditioning
(HVAC)
equipment
has
been
extensively
studied.
On
commercial
front,
Internet
suggested
numerous
AI-equipped
HVAC
products
have
launched.
These
apply
AI
very
ways,
their
energy-saving
effects
are
also
different.
Such
divergence
uncertain
may
hinder
application.
To
overcome
this
difference
accelerate
development
applications,
present
study
proposed
a
double
diamond
preferred
reporting
items
for
systematic
reviews
meta-analysis
(PRISMA)
method—an
analysis
method
combined
literature
review
with
design
thinking.
Through
process
divergence-convergence-re-divergence,
described
how
to
functions
energy-efficient
systems,
taking
into
account
more
than
1,700
research
papers
it
had
reviewed.
However,
there
was
limitation
on
part
re-divergence.
Because
vast
majority
only
published
results
successful
no
cases
failed
applications
were
available
review,
making
impossible
re-think
profoundly.
Instead,
collected
raw
data
from
88
used
these
analyze
effectiveness
ineffectiveness
depth.
It
concluded
must
be
accompanied
by
necessary
hardware
improvements
achieve
effective
energy
savings.
AI-enabled
chillers,
air-handing
units,
heating
conditioners,
as
well
corresponding
upgrades,
discussed.
Energies,
Год журнала:
2023,
Номер
16(8), С. 3441 - 3441
Опубликована: Апрель 14, 2023
In
recent
years,
artificial
intelligence
has
become
increasingly
popular
and
is
more
often
used
by
scientists
entrepreneurs.
The
rapid
development
of
electronics
computer
science
conducive
to
developing
this
field
science.
Man
needs
intelligent
machines
create
discover
new
relationships
in
the
world,
so
AI
beginning
reach
various
areas
science,
such
as
medicine,
economics,
management,
power
industry.
Artificial
one
most
exciting
directions
which
absorbs
a
considerable
amount
human
enthusiasm
latest
achievements
technology.
This
article
was
dedicated
practical
use
neural
networks.
discusses
networks
years
1940–2022,
presenting
important
publications
from
these
discussing
intelligence.
One
chapters
focuses
on
energy
processes
systems.
also
possible
for
future
The
methods
of
Artificial
Intelligence
(AI)
have
been
used
in
the
planning
and
operation
power
systems
for
more
than
40
years.
In
recent
years,
due
to
development
microprocessor
data
storage
technologies,
effectiveness
this
use
has
greatly
increased.
This
paper
provides
a
systematic
overview
application
AI
including
Machine
Learning
(ML)
system.
potential
areas
are
divided
into
four
blocks
classification
matrix
clustering
tasks.
Furthermore,
acquisition
setting
parameters
ML
algorithms
presented
discussed
way
considering
supervised
unsupervised
learning
methods.
Based
on
this,
three
complex
examples:
wind
generation
forecasting,
smart
grid
security
as-sessment
(using
two
methods),
automatic
system
fault
detection
detail.
Summary
outlook
conclude
paper.
