Data centers waste heat recovery technologies: Review and evaluation
Applied Energy,
Год журнала:
2025,
Номер
384, С. 125489 - 125489
Опубликована: Фев. 8, 2025
Язык: Английский
Turning Data Center Waste Heat into Energy: A Guide to Organic Rankine Cycle System Design and Performance Evaluation
Applied Sciences,
Год журнала:
2024,
Номер
14(14), С. 6046 - 6046
Опубликована: Июль 11, 2024
This
study
delves
into
the
adoption
of
organic
Rankine
cycle
(ORC)
for
recovering
waste
heat
from
data
centers
(DCs).
Through
a
literature
review,
it
examines
energy
reuse
with
focus
on
electric
power
generation,
selection
working
fluids,
and
system
design
principles.
The
objective
is
to
develop
thorough
framework
analysis,
beginning
quantity
quality
investigation
available.
Air
cooling
systems,
chosen
often
their
simplicity,
account
about
70%
used
methods.
Water
demonstrates
greater
effectiveness,
albeit
less
commonly
adopted.
pays
close
attention
potential
meticulously
considering
limitations
presented
by
available
sources
cold
vaporization
condensation,
respectively.
It
reviews
an
ORC-based
setup,
incorporating
fluid
streams
internal
processes.
research
includes
conceptual
case
where
designed
simulations
are
conducted
in
DWSIM
environment.
simulation
model
considers
hot
air
or
liquid
water
returning
center
ORC
evaporation.
Ambient
serves
condensing,
pentane
isopentane
identified
as
suitable
fluids.
Pentane
assures
net
efficiencies
ranging
between
3.1
7.1%
when
operating
pressure
ratios
increase
2.8
6.4.
Isopentane
meanwhile,
achieve
3.6–7.0%
across
2.7–6.0.
Furthermore,
provides
key
performance
indicators
reference
terms
usage
effectiveness
(PUE),
factor
(ERF),
(ERE),
greenhouse
gas
(GHG)
savings.
concludes
guidelines
including
exergy
considerations,
details
sizing
process
evaporators
condensers.
Язык: Английский
Geothermal Reservoir Engineering: Optimizing Heat Extraction Techniques
Опубликована: Янв. 1, 2025
Geothermal
reservoir
engineering
is
pivotal
to
sustainable
energy,
focusing
on
optimizing
heat
extraction
for
enhanced
geothermal
production.
This
discipline
integrates
geological
and
geophysical
studies
characterize
reservoirs,
considering
permeability,
porosity,
temperature
distribution.
Enhanced
Systems
(EGS)
improve
subsurface
permeability
exchange
through
hydraulic,
thermal,
chemical
stimulation.
Advanced
numerical
modeling
predicts
behavior,
fluid
flow,
transfer,
sustainability
under
diverse
conditions.
Cutting-edge
techniques
such
as
directional
drilling
downhole
sensors
minimize
environmental
impact
while
providing
real-time
data
effective
management.
Reservoir
optimization
combines
characterization,
modeling,
innovative
technologies.
Insights
from
global
projects
demonstrate
how
optimized
strategies
boost
energy
output
sustainability.
These
advancements
highlight
engineering's
role
in
meeting
demands
with
minimal
impact,
ensuring
a
cleaner,
greener
future.
Язык: Английский
Influence of operational modes on the system performance and exergy efficiency of carbon fiber film heater-assisted heat pump drying systems
Thermal Science and Engineering Progress,
Год журнала:
2025,
Номер
unknown, С. 103591 - 103591
Опубликована: Апрель 1, 2025
Язык: Английский
A multi-level optimization design and intelligent control framework for fuel cell-based combined heat and power systems
Energy Conversion and Management,
Год журнала:
2024,
Номер
325, С. 119397 - 119397
Опубликована: Дек. 12, 2024
Язык: Английский
Life cycle climate performance of R410A and its environmentally friendly alternative working fluids in a heat pump system
Sustainable Energy Technologies and Assessments,
Год журнала:
2024,
Номер
71, С. 104020 - 104020
Опубликована: Окт. 11, 2024
Язык: Английский
Integrated Management of Workloads and Energy System for Data Centers
Опубликована: Янв. 1, 2024
Workload
transfer
is
a
critical
and
unique
strategy
for
enhancing
energy
flexibility
in
data
centers.
However,
existing
research
only
focused
on
the
operational
cost
benefits
associated
with
workload
transfer,
neglecting
its
impact
workloads
themselves.
To
fully
investigate
potential
of
sustainable
positive
development
centers,
this
study
firstly
clarifies
interaction
between
energy.
Based
this,
an
integrated
management
framework
proposed
to
simultaneously
optimize
dispatch.
A
model
that
considers
heterogeneity
developed
capture
characteristics
system
model,
enabling
cross-sectoral
collaboration
IT
sectors.
case
Shanghai
reveals
clear
trade-off
exists
The
systems
not
always
sole
focus
reduction
could
result
elevation
average
delay
rate.
Additionally,
driving
forces
behind
structure
significantly
affect
transfer.
Overall,
integrates
modules
from
both
sectors
achieve
holistic
centers
Язык: Английский
Prediction of Tobacco Moisture Content Based on Improved Support Vector Regression Model
Journal of Sensors,
Год журнала:
2024,
Номер
2024(1)
Опубликована: Янв. 1, 2024
Drying
plays
a
pivotal
role
in
the
production
of
tobacco.
Unlike
many
other
drying
processes,
tobacco
exhibits
significant
nonlinearity
and
is
influenced
by
numerous
factors,
rendering
accurate
predictions
challenging.
In
light
these
characteristics,
order
to
improve
accuracy
moisture
content
prediction,
this
study,
an
improved
support
vector
machine
regression
model
was
used
simulate
complex
dynamic
process
process.
Addressing
inherent
limitations
differential
particle
swarm
optimization
(DPSO),
we
introduce
chemotaxis
operation
bacterial
compartmentalization
algorithm
guide
particles
move
optimal
positions
during
searching.
Additionally,
propose
rotation
diversity
search
space
changing
position
facilitate
their
escape
from
local
avoid
premature
convergence
particles.
Ultimately,
SVR–QBDPSO
established
integrating
(SVR)
Quaternion
bacteria‐specific
(QBDPSO).
The
experimental
results
demonstrate
that
outperforms
models
when
applied
data
Язык: Английский