Performance Variability of Air-Water Heat Pumps in Cold and Warm Years Across European Climate Zones
Опубликована: Янв. 1, 2025
This
study
examines
the
performance
and
economic
feasibility
of
air-water
heat
pumps
(ASHPs)
across
diverse
European
climate
zones
under
varying
energy
price
scenarios.
Focusing
on
four
regions
(Poland,
Lithuania,
Croatia,
Spain),
analysis
evaluates
Seasonal
Coefficient
Performance
(SCOP)
Net
Present
Value
(NPV)
during
cold
warm
years.
Results
indicate
that
SCOP
is
highly
sensitive
to
climatic
variability,
with
efficiency
decreasing
by
40–50%
in
colder
years,
while
remaining
stable
warmer
climates
such
as
Spain.
Economic
reveals
high
electricity
scenario
(S1),
only
Spain
achieved
positive
NPVs
both
periods,
smaller
(8
kW)
being
most
cost-effective.
Conversely,
gas
(S2),
all
demonstrated
NPVs,
particularly
for
larger
units
(13
These
findings
emphasize
importance
adapting
pump
sizing
local
conditions
implementing
policies
balance
prices.
Future
studies
should
aim
develop
more
comprehensive
approaches
capture
interplay
between
variability
feasibility.
Язык: Английский
Simulation of Co2 Flux and Evaluation of Carbon Neutrality Potential at the Neighborhood Scale in Beijing with Multi-Source Data
Опубликована: Янв. 1, 2025
Язык: Английский
Performance Variability of Air-Water Heat Pumps in Cold and Warm Years Across European Climate Zones
Energy,
Год журнала:
2025,
Номер
unknown, С. 136001 - 136001
Опубликована: Апрель 1, 2025
Язык: Английский
Potential of carbon emissions from heating in hot summer and cold winter urban residential areas in China through 2050
Energy and Buildings,
Год журнала:
2025,
Номер
unknown, С. 115790 - 115790
Опубликована: Апрель 1, 2025
Язык: Английский
Evaluating Water-Energy Nexus related Water Saving Potentials of Residential Households with Solar PV and Electric Storage
Опубликована: Окт. 29, 2024
The
energy
sector
is
one
of
the
largest
consumers
water
in
Europe.
As
scarcity
has
a
severe
impact
on
nature
and
human
health,
related
consumption,
similar
as
for
CO2
emissions,
should
be
included
an
environmental
assessment.
This
study
investigates
indirect
usage
households
through
their
consumption
based
case
two
European
countries,
Germany
Spain.
We
calculate
several
thousand
individual
residential
electricity
intensity
electric
grid
hourly
resolution.
Additionally,
we
investigate
effect
photovoltaic
battery
storage
systems
contrast
potential
optimization
strategies
towards
high
self-consumption
minimization.
Our
results
show
that
introduction
small
0.89
kWp
solar
system
can
already
reduce
by
average
20
%
while
optimized
minimal
achieves
mean
reduction
over
40
Spain
25
Germany.
Язык: Английский
Estimating the seasonal performance and electricity consumption of retrofitted heat pumps
Data-Centric Engineering,
Год журнала:
2024,
Номер
5
Опубликована: Янв. 1, 2024
Abstract
Gas
furnaces
are
the
prevalent
heating
systems
in
Europe,
but
efforts
to
decarbonize
energy
sector
advocate
for
their
replacement
with
heat
pumps.
However,
this
transition
poses
challenges
power
grids
due
increased
electricity
consumption.
Estimating
consumption
relies
on
seasonal
performance
factor
(SPF)
of
pumps,
a
metric
that
is
complex
model
and
hard
measure
accurately.
We
propose
using
an
unpaired
dataset
smart
meter
data
at
building
level
SPF.
compare
distributions
annual
gas
pump
by
applying
either
Jensen–Shannon
Divergence
or
Kolmogorov–Smirnov
test.
Through
evaluation
real-world
dataset,
we
prove
ability
methodology
predict
future
pumps
replacing
existing
focus
single-
two-family
buildings.
Our
results
indicate
anticipated
SPFs
ranging
between
2.8
3.4,
based
it
essential
note
analysis
reveals
associated
interpreting
when
there
single-sided
shifts
input
data,
such
as
those
induced
external
factors
like
European
crisis
2022.
In
summary,
extended
version
conference
paper
shows
viability
utilizing
retrofitted
Язык: Английский
Integrating Solar Photovoltaic Systems into the Grid: An Overview of AI Application
International Journal of Advanced Research in Science Communication and Technology,
Год журнала:
2024,
Номер
unknown, С. 379 - 387
Опубликована: Дек. 24, 2024
The
photovoltaic
(PV)
system
business
is
seeing
an
increase
in
the
number
of
applications
for
artificial
intelligence
(AI)
as
a
result
expansion
powerful
computer
resources,
helpful
tools,
and
explosion
data.
It
has
been
shown
that
methods
are
currently
used
variety
jobs
solar
industry,
such
design,
forecasting,
control,
maintenance,
provide
results
not
totally
accurate.
Additionally,
enhanced
accuracy
precision
these
professions,
which
allowed
them
to
become
topic
discussion
at
present
time.
Within
context
this
specific
paradigm,
objective
study
investigate
impact
AI
techniques
have
had
on
PV
value
chain.
In
course
study,
cataloging
current
systems,
compilation
list
prospective
future,
analysis
benefits
drawbacks
systems
contrast
more
conventional
approaches
all
included..
Язык: Английский