Modellierung der Wirtschaftlichkeit von Teak Plantagen in Costa Rica

}
}
# Parameters for current technology using industrial residues fuelwood
"Coal" "Cookstove" # Name of current fuel and technology using industrial fuelwood
24 15 # Technology efficiency and heating value
2550 0.02 0 66.2 0.02 # Emission Factor: CO2,CH4,N2O,CO,TNMOC
# Parameters for alternative technology using industrial residues fuelwood
"Improved Cookstove" # Name of alternative technology using industrial fuelwood
25 15 # Technology efficiency and heating value
1550 7.92 0 69.5 6.84 # Emission Factor: CO2,CH4,N2O,CO,TNMOC
# user defined cost table
{
#yr fixed costs recurring costs fixed returns recurring returns interest rate
0 597 0.00 0 0.00 0.0000
1 428 0.00 0 0.00 0.0000
2 323 0.00 0 0.00 0.0000
3 278 0.00 0 0.00 0.0000
4 256 0.00 0 0.00 0.0000
5 251 0.00 0 0.00 0.0000
6 207 0.00 0 0.00 0.0000
7 202 0.00 0 0.00 0.0000
8 197 0.00 0 0.00 0.0000
9 0 194.00 0 0.00 0.0000
30 0 194.00 0 0.00 0.0000
}
scenario "20dbh"
{
description
{
Teak plantation
}
stand
{
1 # number of cohorts
# global biomass parameters
400.0 # max_biomass in the stand [Mg/ha]
"a" # growth method: "d"=growth driven by biomass density
# "a"=growth driven by age
"t" # competition method: "t"=competition relative to the Total biomass in the stand
# "m"=competition against multiple cohorts
"t" # management mortality method: "t"=management mortality depends only in the total volume harvested
# "m"=management mortality depends on which cohort is harvested
# global soil parameters
8000 # annual mean temperature
1500 # precipitation dry season
1000 # potential evapotranspiration dry season
cohort "Teak"
{
0 # starting age for this cohort
biomass
{
20000.0 # max_biomass in this cohort [Mg/ha]
# stems
0.48 # carbon content
0.50 # wood density
0.0 # initial carbon
# growth table
{
#biom/biom_max CAI
0 0.00
3 25.00
6 35.00
8 40.00
12 40.0
25 27.00
30 22.00
50 5.00
60 0.01
}
# foliage
53