Dairy,
Journal Year:
2024,
Volume and Issue:
5(1), P. 201 - 216
Published: March 5, 2024
The
dairy
industry’s
contribution
to
global
warming
has
been
thoroughly
examined.
However,
it
is
important
raise
public
awareness
of
emission
hotspots
and
the
possibility
mitigation
in
supply
chains.
This
study
assessed
Carbon
Footprint
(CF)
five
products
through
a
cradle-to-grave
Life
Cycle
Assessment
approach
evaluated
carbon
sink
potential
some
practices.
functional
units
were
1
kg
fresh
raw
milk,
yogurt,
cheese,
mozzarella
aged
cheese.
data
collected
related
an
extensive
farm,
cheese-factory,
two
markets,
delivery
service,
court
consumers.
CFs
4.39,
5.10,
9.82,
8.40,
15.34
CO2
eq.
for
respectively.
chain
considered
herein
refer
farm
activities
energy
consumption,
whereas
conservative
agriculture
practices
rotational
grazing
sequestered
1.60
±
0.80
per
product
consumed.
CF
was
reduced
by
0.14
delivered
at
home
compared
direct
purchasing
market.
capacity
farms
appeared
as
primary
mean
mitigating
climate
change
chain.
Sustainable Production and Consumption,
Journal Year:
2024,
Volume and Issue:
47, P. 499 - 515
Published: April 24, 2024
Integrating
ecosystem
services
and
life
cycle
assessment
is
gaining
increasing
attention
for
the
analysis
of
environmental
costs
benefits
associated
with
human
activities
covering
multiple
geographical
scales
stages.
Such
integration
particularly
relevant
evaluating
sustainability
nature-based
solutions.
However,
merging
these
methods
introduces
additional
uncertainties.
This
paper
a
novel
protocol
to
assess
uncertainties
in
combined
services-life
assessment,
focusing
on
accounting,
inventory
foreground
systems,
impact
characterisation
factors.
Applied
solution
case
study
compared
no-action
energy-intensive
scenarios,
were
analysed
using
multi-method
global
sensitivity
analysis.
The
robustness
results
was
assessed
through
convergence
plots
statistical
tests.
Findings
reveal
significant
uncertainties,
especially
factors,
extent
varying
by
category.
Uncertainties
inventory,
land
use
solutions
scenario,
are
also
notable.
Compared
these,
indicators
(uncertainty
arising
from
input
variability
accounting)
relatively
lower.
underscores
critical
role
uncertainty
enhancing
reliability
integrated
assessments
solutions,
providing
framework
identify
quantify
key
thereby
supporting
more
informed
decision-making.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(19), P. 12191 - 12191
Published: Sept. 26, 2022
Researchers
have
long
been
interested
in
developing
new
economic
assessment
methods
to
provide
credible
information
and
facilitate
the
sustainable
development
of
technologies
products.
The
techno-economic
analysis
(TEA)
life
cycle
cost
(LCCA)
are
most
widely
used
approaches
for
modeling
calculating
processes’
impacts.
A
simulation-based
TEA
is
a
cost-benefit
that
simultaneously
considers
technical
factors.
In
addition,
method
facilitates
entire
project
provides
systematic
approach
examining
interrelationships
between
technological
aspects.
When
it
comes
studies,
intimately
bonded
with
uncertainty.
There
numerous
uncertainty
sources,
classified
various
ways.
reflects
“an
inability
determine
precise
value
one
or
more
parameters
affecting
system.”
variability
refers
different
values
given
parameter
may
take.
This
implies
probability
density
function
(PDF),
instance,
can
be
employed
estimate
quantify
parameter.
bias
“assumptions
skew
an
certain
direction
while
ignoring
other
legitimate
alternatives,
factors,
data.”
present
study
identifies
frequency
which
TEA/LCCA
studies
address
gaps
within
selected
papers
through
scoping
review.
results
indicate
associated
factors
model
uncertainties
were
main
sources
LCCA.
Moreover,
possibilistic
such
as
Monte
Carlo
methodology
frequently
tool
cope
LCCA
TEA.
Alexandria Engineering Journal,
Journal Year:
2023,
Volume and Issue:
73, P. 131 - 143
Published: May 4, 2023
Water
and
wastewater
systems
play
an
essential
role
in
sustainable
development
public
human
health,
which
have
multiple
environmental
impacts
that
must
be
regarded.
Life
cycle
assessment
(LCA)
is
a
promising
effective
evaluation
framework
to
consider
the
potential
of
WWSs
processes.
Over
last
two
decades,
there
has
been
significant
increase
literature
on
LCA
WWSs,
still
despite
s'
advantages,
it
some
limitation
due
intensive
data
needed
for
this
analysis,
cause
uncertainty
results.
The
reliability
results
unavoidably
affected
by
uncertainty,
can
unintended
consequences
decision-making.
Failure
account
researches
decrease
confidence
outcomes.
Thus,
different
types
obtain
valid
appropriate
Despite
significance
no
review
paper
yet
focused
considering
research
water
systems.
Therefore,
study
aims
provide
overview
This
includes
detailed
in-depth
considered
detected
gaps,
proposes
ideas
future
researches.
analysis
indicates
77
%
papers
only
input
variability
using
Pedigree
matrix.
crucial
given
LCA's
sensitivity
data,
although
should
noted
matrix
relies
heavily
expert
judgment
lacks
documented
empirical
foundation.
As
result,
accuracy
derived
from
method
may
less
than
ideal.
In
addition
both
model
scenario
considerable
effect
accuracy.
However,
13
included
studies
research.
