Engineering Reports,
Journal Year:
2023,
Volume and Issue:
6(2)
Published: June 27, 2023
Abstract
As
an
important
part
of
the
construction
industry,
rural
residential
buildings
are
characterized
by
low
energy
utilization,
unreasonable
structure,
and
consumption
level,
so
it
is
particularly
to
study
carbon
transformation
evaluation
system.
In
this
study,
coefficient
variation
method
was
used
identify
factors
affecting
low‐carbon
buildings,
system
low‐carbonization
determined
Analytic
Hierarchy
Process
(AHP),
in
a
building
study.
The
results
show
that
“Energy
utilization,”
“Envelope
structure,”
“Economic
factors”
have
obvious
influence
on
carbonization
with
weights
36.4%,
24.5%,
19.5%,
respectively.
Among
secondary
indicators,
top
four
weightings
“clean
utilization
rate”
(0.152),
“external
wall
insulation
system”
(0.090),
“window
performance”
(0.088),
“electricity
consumption”
(0.084),
which
most
critical
influencing
level
clean
buildings.
Finally,
based
constructed
system,
we
propose
targeted
solution
strategies
provide
theoretical
basis
for
establishing
effective
assessment
A
large
amount
of
woody
biomass
was
produced
in
Tibet
every
year.
The
Populus
szechuanica
var
tibetica
Schneid(PS),
Pinus
densata
Mast(PM)
and
Quercus
aquifolioides
Rehd
et
Wils(QW)
were
typical
three
wood
biomass.
combustion
characteristics
analyzed
by
thermogravimetric
method
this
study.
And
the
kinetic
Coats-Redfern
method.
results
showed
that
process
types
similar.
could
be
divided
into
four
stages,
including
drying,
volatile
combustion,
fixed
carbon
burnout.
According
to
integrated
characteristic
index,
PM
best,
following
PS
QM.
With
heating
rate
increasing,
index
for
increase,
weight
loss
increasing
DTG
curve.
When
correlation
coefficients
greater
than
0.95,
best
reaction
levels
PS,
QM
1,
2
respectively.
activation
energies
from
QM,
which
46.10
kJ/mol,
70.05
kJ/mol
85.59
frequency
factors
2.25×104min-1,
3.99×106min-1
2.14×107min-1,
Engineering Reports,
Journal Year:
2023,
Volume and Issue:
6(2)
Published: June 27, 2023
Abstract
As
an
important
part
of
the
construction
industry,
rural
residential
buildings
are
characterized
by
low
energy
utilization,
unreasonable
structure,
and
consumption
level,
so
it
is
particularly
to
study
carbon
transformation
evaluation
system.
In
this
study,
coefficient
variation
method
was
used
identify
factors
affecting
low‐carbon
buildings,
system
low‐carbonization
determined
Analytic
Hierarchy
Process
(AHP),
in
a
building
study.
The
results
show
that
“Energy
utilization,”
“Envelope
structure,”
“Economic
factors”
have
obvious
influence
on
carbonization
with
weights
36.4%,
24.5%,
19.5%,
respectively.
Among
secondary
indicators,
top
four
weightings
“clean
utilization
rate”
(0.152),
“external
wall
insulation
system”
(0.090),
“window
performance”
(0.088),
“electricity
consumption”
(0.084),
which
most
critical
influencing
level
clean
buildings.
Finally,
based
constructed
system,
we
propose
targeted
solution
strategies
provide
theoretical
basis
for
establishing
effective
assessment
