## This file contains script commands for solving an optimization model
## Load the model
model resurs-modell.mod;
## Load the data
data resurs-data.dat;
## Choose solver
option solver cplexamp;
## Other useful options
#option cplex_options 'sensitivity';
#option omit_zero_rows 1;
#option display_transpose -5;

## Solve the model
solve;
## Print interesting results on the file result.res
display tot_cost > resurs.res;

## Example: change a parameter value
#let dem["elec",2020]:=130;
#solve;
#display agg_emis, tot_cost, dem["elec",2020] > resurs.res;

## Example: looping
#let bio_pot := 200;
#for {1..5}
#{
#let  bio_pot := bio_pot + 20;
#solve;
#display tot_cost > resurs.res;
#}

## Display sensitivity information
## Dual variable values (shadow price) and slack variable values
#display supply_pot_Q.dual, supply_pot_Q.slack > resurs.res;

## Primal variable values and reduced costs
#display supply_1.val, supply_1.rc > resurs.res;
#}