Exploring the Feasibility of Green Hydrogen Production Using Wind Energy in India
Environmental and Climate Technologies,
Год журнала:
2025,
Номер
29(1), С. 21 - 34
Опубликована: Янв. 1, 2025
Abstract
India
heavily
relies
on
coal
for
about
70
%
of
its
energy
demand,
leading
to
a
concerning
29
increase
in
CO
2
emissions
from
2015
2022.
The
need
alternate
fuels
is
evident
with
rising
demand
and
the
rapid
depletion
fossil
fuels.
Green
hydrogen
emerges
as
solution,
leveraging
renewable
sources
mitigate
environmental
impact.
This
study
assesses
five
high-speed
wind
locations
green
production,
analysing
resource
potential
using
six
different
turbine
(WT)
models.
A
comprehensive
techno-economic
analysis
was
conducted
evaluate
feasibility
considering
factors
like
annual
production
(AEP),
levelized
cost
(LCOE),
(LCOH).
Furthermore,
quantified
carbon
mitigated
instead
conventional
methods.
Additionally,
assessed
storage
capacity.
Results
indicated
Mandvi
(S2)
most
location,
boasting
capacity
factor
50.51
AEP
by
WT4
13.273
GWh,
yielding
221.21
tons
annually.
Cost
reveals
an
LCOE
0.0225
$/kWh
LCOH
2.3103
$/kg.
utilizing
at
S2
location
could
12.37
Mt/year
emissions.
Язык: Английский
Exploring Heat Demand Forecasting in District Heating Networks Using Random Parameter Linear Regression Model
Environmental and Climate Technologies,
Год журнала:
2024,
Номер
28(1), С. 670 - 685
Опубликована: Янв. 1, 2024
Abstract
Accurate
forecasting
of
heat
demand
in
district
heating
networks
is
essential
for
their
efficient
and
sustainable
operation.
This
paper
presents
a
novel
approach
using
random
parameter
linear
regression
model
to
forecast
demand,
distinguishing
itself
from
classical
models
by
its
ability
address
unobserved
heterogeneity
among
parameters.
Through
case
study
Estonia
utilizing
data
2018
2023
considering
seasonality
consumption
patterns,
the
investigates
determinants
networks.
Two
were
trained
non-heating
seasons.
Results
indicate
significant
impacts
weather
conditions,
energy
prices,
time
day,
network
infrastructure
on
supply
during
season,
while
only
day
electricity
prices
drivers
with
no
notable
influence
conditions.
Prediction
accuracy
was
slightly
enhanced
model,
mean
absolute
percentage
error
9.66
%
compared
9.99
Multi
Linear
Regression
Model
testing
set.
Язык: Английский
Optimizing External-Heating Gasifiers for Enhanced Efficiency: A Synergistic Approach with Taguchi’s Method in Support of Climate Change Mitigation Goals
Environmental and Climate Technologies,
Год журнала:
2024,
Номер
28(1), С. 464 - 476
Опубликована: Янв. 1, 2024
Abstract
To
limit
global
warming
to
1.5
°C
and
adhere
the
Paris
Agreement’s
targets,
urgent
action
is
imperative.
The
IPCC
stresses
a
45
%
CO
2
reduction
by
2030
or
25
cap
temperature
rise
at
°C,
with
failure
risking
greater
challenges
costs.
Enhancing
energy
efficiency,
particularly
through
hydrogen
utilization,
crucial.
Gasifiers
offer
promise
but
face
efficiency
issues,
addressed
here
external-heating
gasifiers
leveraging
waste
heat.
This
nonlinear
problem
optimized
using
Taguchi’s
method,
facilitated
COMSOL
Multiphysics
software.
study
contributes
environmental
sustainability
carbon
efforts,
emphasizing
potential
of
for
sustainable
future.
Язык: Английский