Cleaner Chemical Engineering,
Год журнала:
2022,
Номер
5, С. 100088 - 100088
Опубликована: Дек. 11, 2022
With
realization
that
world's
resources
are
limited,
a
number
of
initiatives
in
all
global
regions
emerged
to
pursue
common
goal
sustainable
management
energy
and
material
loops.
The
intensively
researched
topics
traditionally
gathered
under
the
roof
Sustainable
Development
Energy,
Water
Environmental
Systems
conferences
(SDEWES),
which
its
16th
edition
saw
highly
focused
impacting
research
contributions,
tackling
cross-sectoral
development
introduction
novel
technologies
processes,
devoted
implementation
examination
possible
solutions
contribute
Goals
(SDGs).
present
paper
is
gathering
structuring
these
enriched
with
outcomes
previous
SDEWES
enlighten
advances
made
fields
harvesting,
circular
economy
efficient
use
put
into
context
role
cleaner
chemical
engineering.
By
this,
it
provides
basis
guidance
for
future
on
axis
material-resource-energy
nexus
identified
as
an
extensively
interlinked
area,
difficult
be
tackled
individually
still
requiring
important
effort
collectively
address
dimension
challenge.
Environment Systems & Decisions,
Год журнала:
2024,
Номер
44(3), С. 624 - 644
Опубликована: Фев. 2, 2024
Abstract
Moving
Micro,
Small
and
Medium
Enterprises
(MSMEs),
in
developing
countries,
from
linear
“take—make—dispose”
production
patterns
to
circular
models
where
inputs
natural
resources
consumption
is
minimized,
products
waste
reuse
promoted,
still
a
challenge.
Environmental
transition
initiatives
with
multiple
gaps,
based
on
narrow
corrective
approaches,
isolated
measures,
costly
complex
technologies
suitable
for
large
companies,
limit
the
incursion
of
MSMEs
into
new
circularity.
It
this
context
that
research
aims
understand:
How
accelerate
countries
towards
models?
A
critical
literature
review
guided
design,
development
analysis
case
study;
small
coffee
pig
farm
located
Colombia,
process
was
undertaken,
acted
as
unit
analysis.
Interviews,
theoretical
practical
workshops,
on-site
measurements,
systematic
observations,
multi-stakeholder
dialogs
helped
collect
triangulate
empirical
data
provided
by
case.
By
following
systems
thinking
sustainable
principles,
low-cost,
simple
complementary
clean
were
implemented
farm-system,
resulting
benefits
at
environmental,
social
economic
levels.
This
applied
transform
rural
polluting
enterprise
greener
business.
The
study
provides
contributions
field
transfer
cleaner
economy
MSMEs,
expanding
our
knowledge
subject.
Graphical
abstract
Cleaner Engineering and Technology,
Год журнала:
2023,
Номер
17, С. 100686 - 100686
Опубликована: Ноя. 1, 2023
The
architecture,
engineering,
construction,
and
operation
(AECO)
sector
significantly
contributes
to
natural
resource
depletion,
pollution,
climate
change
impacts.
design
stage
is
crucial
in
the
circular
economy
(CE)
approach
AECO
sector.
Adopting
CE
faces
various
challenges,
including
sociocultural,
technical,
economic,
regulatory,
organizational,
technological
aspects,
among
other.
Despite
increasing
research
this
area,
there
a
scarcity
of
studies
addressing
these
barriers
Nigerian
built
environment
(NBE),
especially
at
firm
(DF)
level.
study
investigated
challenges
CD
adoption
NBE.
Through
survey
307
architectural
engineering
DFs
Lagos,
Nigeria,
data
collected
were
analysed
using
descriptive
inferential
statistical
methods.
Economic
knowledge-related
emerged
as
most
significant.
findings
attributed
newness
NBE,
lack
technical
knowledge,
short-term
mindset
client,
influenced
by
high
construction
costs
due
current
volatile
issues
foreign
exchange
Nigeria.
recommended
promoting
public
awareness,
training
DFs,
establishing
voluntary
stewardships,
regulatory
frameworks,
incentives,
developing
pilot
projects
forming
international
collaborations
expedite
adoption.
outcomes
have
potential
facilitate
development
implementation
framework
By
offering
new
valuable
insights
into
countries'
sector,
proposing
practical
enablers
for
overcoming
unique
NBE
during
process,
contributed
global
discourse
on
International Journal of Green Energy,
Год журнала:
2025,
Номер
unknown, С. 1 - 24
Опубликована: Янв. 10, 2025
Accurate
solar
irradiance
(SI)
prediction
is
vital
for
optimizing
photovoltaic
systems.
This
study
addresses
shortcomings
in
existing
forecasting
methods
by
exploring
advanced
machine-learning
techniques
using
meteorological
satellite
data.
We
develop
three
novel
models
SI
forecasting:
Stack-based
Ensemble
Fusion
with
Meta-Neural
Network
(SEFMNN),
Extreme
Gradient
Boosting-Squared
Error
(XGB-SE),
and
Learning
Machine
(ELM).
These
predict
All-sky
Clear-sky
shortwave
across
Chinese
provinces
(Guangdong,
Shandong,
Zhejiang)
one
Saudi
Arabian
province
(Najran).
The
SEFMNN
model
combines
Artificial
Neural
(ANN),
Random
Forest
(RF),
Support
Vector
(SVM)
to
improve
accuracy.
XGB-SE
employs
a
specialized
loss
function
manage
extreme
values
historical
are
designed
mitigate
overfitting
data
inconsistency
while
balancing
computational
efficiency
predictive
Comparative
analysis
reveals
that
outperform
the
ELM
model,
achieving
an
R2
of
0.9979,
MAE
0.0231,
MSE
0.0020
Najran.
demonstrates
significantly
enhances
forecasting,
aiding
efficient
system
planning
operation.
Alanya Akademik Bakış,
Год журнала:
2025,
Номер
9(1), С. 175 - 194
Опубликована: Янв. 30, 2025
Bu
çalışmada,
temiz
teknolojilerin
ekonomik
etkileri
iki
farklı
açıdan
incelenmektedir.
Sistem
GMM
analizi,
teknolojinin
GSYH
üzerindeki
doğrudan
etkisini
ölçerken,
TODIM
analizi
daha
geniş
bir
makroekonomik
performans
değerlendirmesi
sunmaktadır.
ikili
yaklaşım,
konuyu
hem
spesifik
(GSYH
odaklı)
de
genel
(makroekonomik
performans)
ele
alarak,
etkilerini
kapsamlı
şekilde
değerlendirmeyi
amaçlamaktadır.
Temiz
yaygınlaşması,
yenilenebilir
enerji
kaynaklarına
yapılan
yatırımların
artması,
yüksek
teknolojili
ürünlerin
ihracı
ve
ticari
açıklığın
artması
büyüme
bağlamında
GSYH’nin
artışına
katkı
sağlamaktadır.
Nüfus
yoğunluğu
sanayi
katma
değeri
ise
büyümenin
verimliliğinde
etkin
rol
oynayan
kritik
faktörler
arasında
yer
almaktadır.
Çalışmanın
bulguları,
kullanımının
yaygınlaştırılmasıyla
fosil
yakıt
tüketiminin
azaldığını
maliyetlerinin
minimize
edildiğini
göstermektedir.
Daha
düşük
maliyetleri
ile
üretim
azalması,
verimliliğin
artmasına
dolayısıyla
GSYH'nin
durumu
potansiyelinin
iyileşmesine
Genelleştirilmiş
Momentler
Metodu
(GMM)
kullanılarak
analizler
neticesinde,
üzerinde
anlamlı
önemli
olduğunu
ortaya
koymuştur.
Ayrıca,
Çok
Kriterli
Karar
Verme
(ÇKKV)
yöntemlerinden
Normalize
Edilmiş
Maksimum
Değerler
(NMD)
tabanlı
yöntemi
değerlendirmeler,
olumlu
desteklemektedir.
sonuçlar,
arasındaki
dengeyi
sağlama
potansiyeline
işaret
etmektedir.
EPJ Web of Conferences,
Год журнала:
2025,
Номер
318, С. 02004 - 02004
Опубликована: Янв. 1, 2025
An
original
design
of
a
separating
device
with
arc-shaped
settlers
(SDAS)
has
been
developed
to
purify
air
from
solid
particles.
In
this
study,
the
separation
efficiency
was
studied
numerically.
The
influence
number
rows
SDAS
on
its
evaluated.
Geometric
models
three
configurations
were
used:
5,
7,
and
9
settlers.
diameter
height
distance
between
same
for
all
models.
results
obtained
showed
that
most
effective
configuration
allows
maximum
particle
removal
dusty
gas
stream
observed
5
settlers,
providing
an
about
66.7%
input
rate
in
range
0.5
3
m/s.
It
found
decreases
increasing
as
result
reflection
walls.