Authorea (Authorea),
Journal Year:
2023,
Volume and Issue:
unknown
Published: April 13, 2023
As
water
utilities
seek
to
improve
their
energy
management
practices,
examples
from
successful
cases
are
needed.
Based
on
published
documents
and
firsthand
knowledge,
this
article
summarizes
activities
results
five
Utah
systems:
Jordan
Valley
Water,
Logan,
Mountain
Regional
North
Salt
Lake,
Riverton.
The
occurred
2010
2018-a
concentrated
period
of
water-focused
efforts
in
the
state-and
or
cost
savings
ranged
19%
38%
each
system's
annual
baseline.
came
diverse
operational
capital
including
source
selection,
valve
adjustments,
time-of-use
power
rates,
pressure
zone
reconfiguration,
pump
scheduling,
new
facilities.
Managerial
practices
like
goals,
policies,
teams
were
also
influential.
New
case
studies
welcomed
as
adjust
ongoing
transition.
Journal of Water Resources Planning and Management,
Journal Year:
2023,
Volume and Issue:
149(7)
Published: May 12, 2023
In
recent
years,
a
vision
has
been
shared
of
how
artificial
intelligence
(AI)
can
optimize
the
increasingly
complex
operations
drinking
water
utilities.
However,
it
unclear
if
and
utilities
use
technology.
Here,
we
surveyed
simple
random
sample
49
large
US
to
provide
snapshot
progress.
We
found
that
12
them
(24%)
have
used
some
form
AI.
Of
those
not,
majority
plan
or
may
AI
in
next
5
years.
The
reported
uses
were
experimental,
manual,
partial
models
rather
than
fully
integrated,
ongoing
applications.
Respondents
are
motivated
for
improving
quality,
detecting
leaks,
automating
systems,
but
they
cited
payback
uncertainty
lack
expertise
as
most
common
barriers
implementation.
To
better
demonstrate
join
other
tools
available
assist
human
operators,
researchers
should
focus
on
top
motivations
identified
here
partner
with
convincing
case
studies
full-scale
projects.
These
steps
will
support
further
responsible
adoption
utility
part
more
sustainable
communities.
Applied Energy,
Journal Year:
2024,
Volume and Issue:
366, P. 123292 - 123292
Published: May 3, 2024
The
global
water
industry
has
a
greater
emphasis
on
energy
management
than
ever
before.
confluence
of
rising
demand
and
costs,
net-zero
greenhouse
gas
emission
targets
means
the
sector
must
rapidly
transition
to
new
'energy
future'.
Yet,
few
cities
have
assessed
long-term
use
their
wastewater
systems.
Here,
we
undertake
novel
integrated
assessment
historical
trends
for
in
three
Australian
two
US
cities,
collectively
17
million
people.
key
research
question
is
what
were
supply
treatment,
can
understand
about
drivers?
contributes
first
systematic
time-series
trajectories
both
wastewater,
across
multiple
cities.
Uniquely,
it
integrates
(up
20
years)
dynamics
comparative
analysis.
work
also
qualitative
analysis
driving
factors
behind
observed
variations.
(2001−2020)
identifies
how
evolving
through
time
widely
differing
climate,
urban
infrastructure
conditions.
studied
demonstrated
downward
by
30–42%
collected
5–30%,
primarily
due
conservation
drought-related
restrictions.
Annual
per-capita
reduced
Los
Angeles
(−58%,
from
276
116.5
kWh/p/a),
San
Diego
(−59%,
503.7
204.2
Sydney
(−26%,
40.6
30.1
kWh/p/a)
increased
Melbourne
(+859%,
15.7
150.6
Perth
(+139%,
118.1
281.9
kWh/p/a).
Compared
supply,
was
far
more
stable
(it
varied
between
45
85
not
crucial
contributor
overall
dynamics.
significant
increase
seawater
desalination
identified
as
primary
driver
To
offset
this
huge
demand,
developing
renewable
generation
emerged
strategy.
It
causes
high
fluctuation
shares
(Sydney:
317
GWh,
accounting
48.5%
2011;
compared
19
only
2.5%
2008).
In
contrast,
managed
considerably
reduce
decreasing
imported
volume
intensity
(the
result
an
adjusted
portfolio).
However,
absence
consistently
comprehensive
water/energy/renewable
data
remains
hurdle
thorough
quantitative
drivers.
Given
these
observations,
evident
that
detailed
influencing
(e.g.
use,
upgrading,
sustainability
targets),
requires
separately
reported
categorized
sources
other
data.
By
addressing
issues,
clear
path
towards
energy-efficient,
sustainable
system
with
emissions.
Scientific Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Jan. 23, 2024
Wastewater
treatment
plants
(WWTPs)
are
large
electricity
and
natural
gas
consumers
with
untapped
potential
to
recover
carbon-neutral
biogas
provide
energy
services
for
the
grid.
Techno-economic
analysis
of
emerging
recovery
management
technologies
is
critical
understanding
their
commercial
viability,
but
quantifying
cost
savings
stymied
by
a
lack
well
curated,
nationally
representative
tariff
data.
We
present
dataset
tariffs
100
largest
WWTPs
in
Clean
Watershed
Needs
Survey
(CWNS)
54
on-site
cogeneration.
manually
collected
from
each
utility's
website
implemented
data
checks
ensure
validity.
The
includes
facility
metadata,
tariffs,
(where
cogeneration
present).
Tariffs
current
as
November
2021.
code
technical
validation
along
sample
simulation.
Energy Nexus,
Journal Year:
2023,
Volume and Issue:
11, P. 100235 - 100235
Published: Aug. 25, 2023
Water
and
wastewater
utilities
consume
significant
energy,
much
guidance
has
emerged
especially
in
the
past
25
years
to
help
them
manage
it.
The
confluence
of
literature
from
independent
groups
same
timespan
speaks
enduring
relevance,
technical
nuance,
deep
substance
topic.
At
an
important
time
energy–water
nexus,
we
critically
review
29
key
publications
that
provide
comprehensive
on
subject.
We
categorize
recommended
practices,
explore
origins
guidance,
discuss
commonalities
differences
recommendations,
reflect
evolution
suggest
directions
for
future
developments.
From
this
novel
review,
find
while
documents’
scopes
differ,
consensus
developed
around
several
core
capital,
operational,
managerial
practices
water
energy
industries
have
accepted.
These
include
upgrading
pumping
equipment,
installing
renewable
treatment
repairing
leaky
pipes,
operating
according
power
rate
schedules,
optimizing
pump
use,
processes,
performing
regular
maintenance,
audits,
engaging
outreach,
training
team,
setting
goals.
Many
are
supported
by
over
260
case
studies
documents.
Some
experiential
need
more
work.
Even
as
ongoing
transition
cleaner
is
necessitating
new
approaches
must
embrace,
diversity
testifies
multiple
successful
paths
management.
recommend
choose
options
best
suit
their
opportunities,
capabilities,
values.
Journal of Water Resources Planning and Management,
Journal Year:
2024,
Volume and Issue:
150(6)
Published: April 2, 2024
Demand-side
management
(DSM)
programs
are
essential
to
accommodate
larger
shares
of
distributed,
variable,
renewable
energy
generation.
These
can
be
used
by
water
utilities
foster
a
more
sustainable
operational
management.
In
this
work,
an
integrated
DSM
strategy
is
adopted
for
the
optimal
control
pumping
loads
reduce
costs
in
supply
system
(WSS).
For
purpose,
participation
demand
response
programs,
namely,
using
time-of-use
(TOU)
and
real-time
pricing
(RTP),
as
well
on-site
generation,
explored.
A
gradient-based
method
was
optimize
pump
scheduling
based
on
nonlinear
programming
model
integrating
hydraulic
simulation
with
optimization
tools.
The
main
original
contribution
work
development
thorough
available
resources
into
WSS
management,
presenting
novel
approach
formulate
operation
problem.
Anytown
benchmark
validate
proposed
model.
results
show
decrease
11%–52%
cost
when
considering
time-differentiated
tariffs
context.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
11, P. 6233 - 6237
Published: June 1, 2024
Supplying
water
to
cities
is
an
energy-intensive
activity,
but
few
longitudinal
studies
exist
of
utilities'
energy
intensity
(energy
use
per
unit
volume).
Using
t-tests
and
regression
on
public
records
from
the
state
Wisconsin,
USA,
we
analyze
over
500
drinking
performance
2001
2020.
This
first
long-term
panel
analysis
its
kind.
The
annual
data
show
has
increased
by
12
%
in
large,
8
medium,
28
small
utilities.
large
utilities
remain
least
intensive
(0.49
kWh/m³
as
2020,
compared
0.53
0.67
for
medium
utilities),
ones
have
diverged
most
other
two.
At
same
trajectory,
will
increase
another
27
systems
2040.
Our
demonstrates
economies
scale,
highlights
disadvantages
utilities,
confirms
predictions
that
services
would
become
more
intensive.
It
motivates
sustainability
coupled
infrastructure
emphasizes
responsible
natural
resources.
Journal of Hydroinformatics,
Journal Year:
2024,
Volume and Issue:
26(7), P. 1661 - 1672
Published: June 11, 2024
ABSTRACT
Hydrological
modeling
is
one
of
the
most
complicated
tasks
in
sustainable
water
resources
management,
particularly
terms
predicting
rainfall.
Predicting
rainfall
critical
to
build
a
society
hydropower
operations,
agricultural
planning,
and
flood
control.
In
this
study,
hybrid
model
based
on
integration
k-nearest
neighbor
(KNN),
XGBoost
(XGB),
decision
tree
(DCT),
Random
Forest
(RF)
has
been
developed
implemented
for
forecasting
daily
first
time
at
Sydney
airport,
Australia.
Daily
rainfall,
temperature,
evaporation,
humidity
have
selected
as
input
parameters.
Three
statistical
measurements,
namely,
root
mean
square
error
(RMSE),
coefficient
determination
(R2),
absolute
(MAE),
Normalized
Root
Mean
Square
Error
(NRMSE)
utilized
order
check
accuracy
proposed
model.
A
sensitivity
analysis
was
conducted,
results
indicated
that
purpose
prediction,
humidity,
evaporation
were
highly
sensitive
data.
According
results,
capable
with
high
performance
both
training
testing
parts
RMSE
=
0.124,
R2
0.999,
MAE
0.007,
NRMSE
0.04
1.246,
0.991,
0.109,
0.339,
respectively.
