Solar Compass,
Journal Year:
2023,
Volume and Issue:
8, P. 100060 - 100060
Published: Oct. 20, 2023
The
production
of
heat
for
industrial
processes
is
one
the
significant
contributors
to
greenhouse
gas
emissions,
with
mining
and
minerals
processing
industry
in
South
Africa
as
a
substantial
user
high-temperature
process
heat.
produces
80
%
world's
manganese.
sintering
manganese
fossil
fuel
intensive
emits
nearly
million
half
tons
CO2
per
year.
Concentrating
Solar
Thermal
(CST)
that
can
be
utilised
at
significantly
lower
cost
than
diesel
firing,
which
currently
used
sintering.
However,
CST
being
nascent
technology,
most
operations
are
reluctant
commit
its
use.
These
risks
minimised
customer
using
an
Energy
Supply
Company
(ESCo
or
energy-as-a-service
company)
provide
mine.
For
ESCo,
potential
terminate
contract
before
end
life
energy
supply
asset.
Using
solar
field
based
on
heliostats,
such
HelioPod™,
redeployed
presents
level
insurance
against
this
risk.
In
analysis,
economic
advantage
HelioPod™
field-based
system
compared
conventional
permanent
pedestal-based
heliostat
field.
comparison
was
made
assuming
early
termination
scenarios
where
facility
once
twice
during
nominal
facility.
discounted
cash
flow
analysis
shows
reusing
leads
improvements.
study
reduces
project
NPV@7%
by
up
28%
move
project's
life.
Renewable and Sustainable Energy Reviews,
Journal Year:
2023,
Volume and Issue:
185, P. 113626 - 113626
Published: Aug. 17, 2023
The
need
for
new
technologies
to
provide
economically
viable
sources
of
high-temperature
heat
without
any
net
CO2
emissions
industrial
chemical
processes
has
become
a
global
priority.
Concentrated
solar
thermal
generation
can
play
an
important
role
in
meeting
this
challenge.
We
report
detailed
bottom-up
techno-economic
analysis
concentrated
plant
deliver
process
at
temperature
1100
°C
the
scale
anticipated
commercial
demonstrator.
system
consists
50
MWth
concentration
subsystem
with
heliostats
and
tower,
novel
expanding-vortex
particle
receiver
(SEVR)
packed
bed
storage
system,
together
combustion
back-up
allow
continuous
operation.
was
optimized
determine
minimum
levelized
cost
(LCOH)
from
transient
model
complete
system.
Significantly,
maximum
efficiency
or
alone
does
not
best
annual
energetic
performance,
highlighting
understand
interplay
between
two
systems
optimize
overall
performance.
While
is
yet
lowest
heat,
sensitivity
provides
insight
as
how
move
toward
optimum.
This
yields
values
LCOH
component
37
39
USD/GJ
corresponding
share
(SSann)
28%
53%
total
demand
process,
respectively.
However,
importantly,
be
almost
doubled
only
5%
increase
LCOH.
Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
38(3), P. 2058 - 2073
Published: Jan. 12, 2024
We
report
a
techno-economic
analysis
of
solar
hybridized
biomass-to-liquids
(SBTL)
system
to
produce
liquid
synthetic
diesel
fuels
from
syngas
obtained
by
employing
concentrated
thermal
(CST)
drive
the
woody
biomass
gasification
process.
Evaluating
sensitivity
deterministic
minimum
fuel
selling
price
(MFSP)
for
all
major
variables
assesses
impact
multiple
and
storage
capacity
on
system's
economic
feasibility.
The
calculated
MFSP
nonsolar
(BTL)
SBTL
systems
were
2.09
USD/liter
2.14–2.30
USD/liter,
respectively,
base
case
scenario
which
does
not
include
carbon
tax.
Reducing
CST
capital
investment
increasing
operating
benefits
(through
increased
cost,
introduction
tax/penalty,
or
CST-associated
byproduct
revenue)
are
keys
compete
with
BTL
system.
Increasing
equipment
cost-effectiveness
at
larger
scale
allows
BTL/SBTL
fossil-derived
pathways.
Solar Compass,
Journal Year:
2023,
Volume and Issue:
9, P. 100066 - 100066
Published: Dec. 13, 2023
The
efficiency
of
solar
energy
farms
requires
detailed
analytics
and
information
on
each
inverter
regarding
voltage,
current,
temperature,
power.
Monitoring
inverters
from
a
farm
was
shown
to
minimize
the
cost
maintenance,
increase
production
help
optimize
performance
under
various
conditions.
Machine
learning
algorithms
are
techniques
analyze
data,
classify
predict
variables
according
historic
values
combination
different
variables.
140
kWp
photovoltaic
plant
contains
300
modules
255W
294
250W
with
smart
monitoring
devices.
In
total
type
SMA
Tripower
25
kW
10
kW.
590
1312
Trina
450W
modules.
four
Sunny
110-60
CORE
2
rated
power
440kW
were
analyzed
several
supervised
applied,
accuracy
determined.
facility
enables
networked
data
machine
algorithm
for
fault
classification
developed,
calculated
solutions
developed
better
reliability
components
monitorization
optimization
inverters.
Energies,
Journal Year:
2025,
Volume and Issue:
18(2), P. 426 - 426
Published: Jan. 19, 2025
Industrial
process
heat
typically
requires
large
amounts
of
fossil
fuels.
Solar
energy,
while
abundant
and
free,
has
low
energy
density,
so
collector
areas
are
needed
to
meet
thermal
needs.
Land
costs
in
developed
often
prohibitively
high,
making
rooftop-based
concentrating
solar
power
(CSP)
attractive.
However,
limited
rooftop
space
the
density
usually
insufficient
a
facility’s
demands.
Maximizing
annual
CSP
generation
within
bounded
is
necessary
mitigate
fuel
consumption.
This
different
optimization
objective
than
minimizing
Levelized
Cost
Energy
(LCOE)
typical
open-land,
utility-scale
heliostat
layout
optimization.
Innovative
designs
necessary,
such
as
compact,
energy-dense
central
receiver
systems
with
non-flat
field
topographies
that
use
spatially
efficient
Tilt–Roll
heliostats
or
multi-rooftop
multi-height
distributed
urban
systems.
A
novel
ray-tracing
simulation
tool
was
evaluate
these
unique
scenarios.
For
compact
systems,
optimized
production
occurred
maximum
spatial
best
topography
found
shallow
section
parabolic
cylinder
an
East–West
focal
axis,
yielding
10%
optical
improvement.
Tightly
packed
showed
double
improvement
at
compared
Azimuth–Elevation
heliostats.
