Water Science & Technology,
Год журнала:
2023,
Номер
88(6), С. 1447 - 1470
Опубликована: Авг. 29, 2023
Wastewater
treatment
plants
(WWTPs)
are
complex
systems
that
must
maintain
high
levels
of
performance
to
achieve
adequate
effluent
quality
protect
the
environment
and
public
health.
Artificial
intelligence
machine
learning
methods
have
gained
attention
in
recent
years
for
modeling
problems,
such
as
wastewater
treatment.
Although
artificial
neural
networks
(ANNs)
been
identified
most
common
these
methods,
no
study
has
investigated
development
configuration
models.
We
conducted
a
systematic
literature
review
on
use
ANNs
predict
removal
efficiencies
full-scale
WWTPs.
Three
databases
were
searched,
44
records
667
selected
based
eligibility
criteria.
The
data
extracted
from
papers
showed
majority
studies
used
feedforward
network
model
with
backpropagation
training
algorithm
plants,
particularly
terms
organic
matter
indicators.
findings
this
research
may
help
search
an
optimum
design
process
future
similar
prediction
problems.
Desalination,
Год журнала:
2023,
Номер
567, С. 116985 - 116985
Опубликована: Сен. 14, 2023
In
recent
decades,
problems
related
to
fresh
water
has
become
a
very
important
issue
for
humans.
Small-scale
desalination
(SSD)
systems,
besides
large-scale
(LSD)
fulfil
an
role
in
meeting
freshwater
demand
by
eliminating
the
cost
of
transmission
and
have
advantage
treating
on-site.
this
study,
first
time,
comprehensive
review
previous
studies
been
carried
out
on
SSD
systems
(less
than
25
m3/d
production).
These
are
powered
using
renewable,
non-renewable
or
hybrid
sources
energy,
incorporating
different
treatment
technologies
such
as:
reverse
osmosis
(RO);
electro
dialysis
(ED);
capacitive
deionization
(CDI);
membrane
(MD);
humidification–dehumidification
processes
(HDH);
multi-effect
(MED);
technologies,
including
combination
RO-UF,
RO-ED
RO-MED.
The
advantages
drawbacks
that
operate
fossil
fuels
renewable
energy
(RE)
studied,
considering
membrane,
evaporation
salinity
features.
Among
these,
solar-based
most
popular.
Accordingly,
numerous
RO,
ED,
MD,
HDH
MED
solar-SSD
compared
terms
their
productivity,
consumption
produced
water.
Attention
also
paid
via
wind,
geothermal,
tidal
energies.
It
determined
RO
system
holds
largest
market
share
both
(25
%)
(40
systems.
addition,
comparison
low-cost
LSD
shows
economically
competitive
with
outlook
future
use
is
likely
decrease,
except
areas
where
costs
low.
increase,
solely
wind
geothermal
will
be
replaced
Sustainability,
Год журнала:
2023,
Номер
15(18), С. 13557 - 13557
Опубликована: Сен. 11, 2023
In
recent
years,
artificial
intelligence
(AI),
as
a
rapidly
developing
and
powerful
tool
to
solve
practical
problems,
has
attracted
much
attention
been
widely
used
in
various
areas.
Owing
their
strong
learning
accurate
prediction
abilities,
all
sorts
of
AI
models
have
also
applied
wastewater
treatment
(WWT)
optimize
the
process,
predict
efficiency
evaluate
performance,
so
explore
more
cost-effective
solutions
WWT.
this
review,
we
summarize
analyze
applications
Specifically,
briefly
introduce
commonly
purposes,
advantages
disadvantages,
comprehensively
review
inputs,
outputs,
objectives
major
findings
particular
water
quality
monitoring,
laboratory-scale
research
process
design.
Although
gained
great
success
WWT-related
fields,
there
are
some
challenges
limitations
that
hinder
widespread
real
WWT,
such
low
interpretability,
poor
model
reproducibility
big
data
demand,
well
lack
physical
significance,
mechanism
explanation,
academic
transparency
fair
comparison.
To
overcome
these
hurdles
successfully
apply
make
recommendations
discuss
future
directions
applications.
Water,
Год журнала:
2024,
Номер
16(2), С. 314 - 314
Опубликована: Янв. 17, 2024
Integration
of
the
Internet
Things
(IoT)
into
fields
wastewater
treatment
and
water
quality
prediction
has
potential
to
revolutionize
traditional
approaches
address
urgent
challenges,
considering
global
demand
for
clean
sustainable
systems.
This
comprehensive
article
explores
transformative
applications
smart
IoT
technologies,
including
artificial
intelligence
(AI)
machine
learning
(ML)
models,
in
these
areas.
A
successful
example
is
implementation
an
IoT-based
automated
monitoring
system
that
utilizes
cloud
computing
ML
methods
effectively
above-mentioned
issues.
The
been
employed
optimize,
simulate,
automate
various
aspects,
such
as
managing
natural
systems,
water-treatment
processes,
wastewater-treatment
applications,
water-related
agricultural
practices
like
hydroponics
aquaponics.
review
presents
a
collection
significant
water-based
which
have
combined
with
IoT,
neural
networks,
or
undergone
critical
peer-reviewed
assessment.
These
encompass
chlorination,
adsorption,
membrane
filtration,
indices,
modeling
parameters,
river
levels,
automating/monitoring
effluent
aquaculture
Additionally,
this
provides
overview
discusses
future
along
examples
how
their
algorithms
utilized
evaluate
treated
diverse
aquatic
environments.
Journal of Physics Energy,
Год журнала:
2024,
Номер
6(2), С. 021502 - 021502
Опубликована: Фев. 26, 2024
Abstract
Water
and
energy
are
two
strategic
drivers
of
sustainable
development,
intimately
interlaced
vital
for
a
secure
future
humanity.
Given
that
water
resources
limited,
whereas
global
population
demand
exponentially
growing,
the
competitive
balance
between
these
resources,
referred
to
as
water-energy
nexus,
is
receiving
renewed
focus.
The
desalination
industry
alleviates
stress
by
producing
freshwater
from
saline
sources,
such
seawater,
brackish
or
groundwater.
Since
last
decade,
market
has
been
dominated
membrane
technology,
offering
significant
advantages
over
thermal
processes,
lower
demand,
easy
process
control
scale-up,
modularity
flexible
productivity,
feasibility
synergic
integration
different
operations.
Although
seawater
reverse
osmosis
(SWRO)
accounts
more
than
70%
capacity,
it
circumscribed
some
technological
limitations,
as:
(i)
relatively
low
recovery
factor
(around
50%)
due
negative
impact
osmotic
polarization
phenomena;
(ii)
an
consumption
in
range
3–5
kWh
m
−3
,
still
far
theoretical
(1.1
)
produce
potable
(at
50%
factor).
Ultimately,
intensive
practice
research
efforts
oriented
toward
development
alternative
energy-efficient
approaches
order
enhance
without
placing
excessive
strain
on
limited
supplies.
Recent
years
have
seen
relevant
surge
interest
distillation
(MD),
thermally
driven
technology
having
potential
complement
SWRO
logic
Process
Intensification
Zero
Liquid
Discharge
paradigm.
Due
its
peculiar
transport
mechanism
negligibility
phenomena,
MD
allows
high-quality
distillate
production
(theoretically,
non-volatile
species
completely
rejected)
with
up
80%
at
operative
temperature
(typically
60
°C–80
°C).
temperatures
make
attractive
renewable
power
applications
(e.g.
solar
thermal,
wind
geothermal
sources)
efficient
exploitation
low-grade
waste
heat
streams,
efficiency
intrinsically
losses—and
specifically
polarization—has
so
hindered
application
industrial
scale.
Nowadays,
photothermal
materials
able
absorb
convert
natural
artificial
irradiation
into
gained
great
attention,
demonstrating
mitigate
‘anthropic’
input
inefficiencies.
On
this
road,
step-change
improvement
light-to-heat
conversion
expected
through
high-throughput
computational
screening
thermoplasmonic
based
electronic
optical
properties
advanced
including
novel
topological
phases
matter
used
nanofillers
polymeric
membranes.
Coherently
concept
Circular
Economy,
hypersaline
solutions
rejected
(referred
‘brine’)
now
subject
valorization
activities
along
main
routes:
(1)
valuable
minor
trace
metals
minerals,
special
focus
critical
raw
(including,
among
others,
Mg,
Na,
Ca,
K,
Sr,
Li,
Br,
B,
Rb);
(2)
salinity
gradient
(SGP)
resulting
Gibbs
mixing
(mainly
represented
entropic
contribution)
ionic
concentration.
exciting
new
frontier
mining
concentrates
accelerating
appearance
plethora
innovative
methods
brine
dehydration
selective
extraction
ions,
although
under
sword
Damocles
cost
reliable
commercial
application.
other
hand,
several
emerging
technologies,
electrodialysis
(SGP-RED)
was
already
proven
capable—at
least
kW
scale–of
turning
chemical
difference
river
water,
electrical
energy.
Efforts
develop
next
generation
ion
exchange
membranes
exhibiting
high
perm-selectivity
(especially
monovalent
ions)
resistance,
improve
system
engineering
optimize
operational
conditions,
pursue
goal
enhancing
density
achievable
(in
few
W
per
2
).
This
Roadmap
takes
form
series
short
contributions
written
independently
worldwide
experts
topic.
Collectively,
provide
comprehensive
picture
current
state
art
science
how
future.
In
addition,
acknowledges
challenges
advances
systems,
particularly
emphasizing
interplay
material
innovation
optimization,
which
collectively
contribute
advancing
field
within
nexus
framework.
The Science of The Total Environment,
Год журнала:
2024,
Номер
944, С. 173999 - 173999
Опубликована: Июнь 13, 2024
Membrane
technologies
have
become
proficient
alternatives
for
advanced
wastewater
treatment,
ensuring
high
contaminant
removal
and
sustainable
resource
recovery.
Despite
significant
progress,
ongoing
research
efforts
aim
to
further
optimize
treatment
performance.
Among
the
challenges
faced,
membrane
fouling
persists
as
a
relevant
obstacle
in
technologies,
necessitating
development
of
more
effective
mitigation
strategies.
Mathematical
models,
widely
employed
predicting
performance,
generally
exhibit
low
accuracy
suffer
from
uncertainties
due
complex
variable
nature
wastewater.
To
overcome
these
limitations,
numerous
studies
proposed
artificial
intelligence
(AI)
modeling
accurately
predict
technologies'
performance
mechanisms.
This
approach
aims
provide
simulations
predictions,
thereby
enhancing
process
control,
optimization,
intensification.
literature
review
explores
recent
advancements
membrane-based
processes
through
AI
models.
The
analysis
highlights
enormous
potential
this
field
efficiency
technologies.
role
defining
optimal
operating
conditions,
developing
strategies
mitigation,
novel
improving
fabrication
techniques
is
discussed.
These
enhanced
optimization
control
driven
by
ensure
improved
effluent
quality,
optimized
consumption,
minimized
costs.
contribution
cutting-edge
paradigm
shift
toward
examined.
Finally,
outlines
future
perspectives,
emphasizing
that
require
attention
current
limitations
hindering
integration
plants.
