Enhancing
energy
efficiency
within
the
building
sector
is
imperative
to
curbing
losses,
given
that
this
alone
contributes
over
34%
of
global
consumption.
Employing
a
management
system,
along
with
its
regular
updates,
presents
strategic
avenue
decrease
usage,
enhance
efficiency,
and
more.
Tailored
control
strategies,
aligned
unique
characteristics
usage
patterns
each
building,
are
essential
for
achieving
savings.
This
article
an
evaluation
HVAC
system
in
office
buildings,
utilizing
data-driven
approach
coupled
simulations
conducted
IDA
ICE
software.
The
research
explores
strategy
equipped
constant
air
volume
featuring
regularly
controlled
handling
unit.
objective
boost
while
striking
balance
between
occupant
comfort
Findings
indicate
by
analyzing
measured
data
adjusting
configurable
parameters,
consumption
can
be
significantly
reduced.
Close
monitoring
indoor
parameters
operators
corresponding
adjustments
yield
savings
up
16%.
Leveraging
these
insights,
paper
suggests
integrating
dynamic
simulation
methods
into
models
optimize
systems,
advance
ambitious
carbon
neutrality
objectives.
Advances in Applied Energy,
Год журнала:
2024,
Номер
14, С. 100167 - 100167
Опубликована: Фев. 24, 2024
Building
energy
flexibility
plays
a
critical
role
in
demand-side
management
for
reducing
utility
costs
building
owners
and
sustainable,
reliable,
smart
grids.
Realizing
tropical
regions
requires
solar
photovoltaics
storage
systems.
However,
quantifying
the
of
buildings
utilizing
such
technologies
has
yet
to
be
explored,
robust
control
sequence
is
needed
this
scenario.
Hence,
work
presents
case
study
evaluate
controls
operations
net-zero
office
Singapore.
The
utilizes
data-driven
quantification
workflow
employs
novel
model
predictive
(MPC)
framework
based
on
physically
consistent
neural
network
(PCNN)
optimize
flexibility.
To
best
our
knowledge,
first
instance
that
PCNN
applied
mathematical
MPC
setting,
stability
system
formally
proved.
Three
scenarios
are
evaluated
compared:
default
regulated
flat
tariff,
real-time
pricing
mechanism,
an
on-site
battery
(BESS).
Our
findings
indicate
incorporating
into
could
more
beneficial
leverage
decisions
than
flat-rate
approach.
Moreover,
adding
BESS
PV
generation
improved
self-sufficiency
self-consumption
by
17%
20%,
respectively.
This
integration
also
addresses
mismatch
issues
within
framework,
thus
ensuring
reliable
local
supply.
Future
research
can
proposed
PCNN-MPC
different
types.
Energy and Buildings,
Год журнала:
2024,
Номер
310, С. 114078 - 114078
Опубликована: Март 19, 2024
Energy
communities
(ECs)
play
a
crucial
role
in
promoting
the
adoption
of
renewable
energy
resources
and
establishing
local
markets
for
sharing
trading
among
end-users
(e.g.,
residential
buildings)
prosumers
(plus
buildings).
However,
since
are
connected
to
distribution
grids,
their
transactions
can
sometimes
lead
reversed
power
flows
potential
quality
issues,
such
as
over-voltage.
This
paper
introduces
concept
Virtual
Communities
(VECs)
coordination
mechanism
designed
align
goals
ECs
with
flexibility
requirements
grid
operator.
The
smart
buildings
employs
Particle
Swarm
Optimization
algorithm
identify
optimal
VEC
configurations
that
effectively
manage
activities
adhere
constraints.
tool's
performance
is
evaluated
focus
on
voltage
levels
imbalance
factors
across
various
case
studies.
results
demonstrate
building
efficiently
mitigates
overvoltage
imbalances
by
implementing
VECs,
all
while
causing
minimal
disruption
opportunities.
significant
importance,
providing
its
own
not
economically
viable.
Therefore,
this
offers
valuable
win-win
solution
both
flexibility.
