# Add the root folder of Dispa-SET to the path so that the library can be loaded:
import sys, os
sys.path.append(os.path.abspath('../../Dispa-SET'))
# Import Dispa-SET
import dispaset as ds
# Load the inputs and the results of the simulation
inputs, results = ds.get_sim_results(path='../Simulations/bolivia_base_2025',
cache=False)
# if needed, define the plotting range for the dispatch plot:
import pandas as pd
rng = pd.date_range(start='2025-01-01', end='2025-12-31', freq='h')
# Generate country-specific plots
ds.plot_zone(inputs, results, rng=rng)
# Bar plot with the installed capacities in all countries:
cap = ds.plot_zone_capacities(inputs)
# Bar plot with the energy balances in all countries:
ds.plot_energy_zone_fuel(inputs, results,
ds.get_indicators_powerplant(inputs, results))
# Analyse the results for each country and provide quantitative indicators:
r = ds.get_result_analysis(inputs, results)
# Plot the reservoir levels
ds.storage_levels(inputs, results)
import dispaset as ds
# Load the configuration file
config = ds.load_config_excel('../ConfigFiles/ConfigEU.xlsx')
# Limit the simulation period (for testing purposes, comment the line to run the whole year)
config['StartDate'] = (2016, 1, 1, 0, 0, 0)
config['StopDate'] = (2016, 1, 7, 0, 0, 0)
# Build the simulation environment:
SimData = ds.build_simulation(config)
# Solve using GAMS:
_ = ds.solve_GAMS(config['SimulationDirectory'], config['GAMS_folder'])
# Load the simulation results:
inputs, results = ds.get_sim_results(config['SimulationDirectory'],
cache=False)
# Generate country-specific plots
ds.plot_zone(inputs, results)
# Bar plot with the installed capacities in all countries:
cap = ds.plot_zone_capacities(inputs)
# Bar plot with the energy balances in all countries:
ds.plot_energy_zone_fuel(inputs, results,
ds.get_indicators_powerplant(inputs, results))
# Analyse the results for each country and provide quantitative indicators:
r = ds.get_result_analysis(inputs, results)
sys.path.append(os.path.abspath('../../Dispa-SET'))
# Import Dispa-SET
import dispaset as ds
# Load the inputs and the results of the simulation
inputs, results = ds.get_sim_results(
path='../Simulations/bolivia_base_test_2020', cache=False)
# if needed, define the plotting range for the dispatch plot:
import pandas as pd
rng = pd.date_range(start='2020-01-01', end='2020-12-31', freq='h')
# Generate country-specific plots
ds.plot_zone(inputs, results, z='CE', rng=rng)
ds.plot_zone(inputs, results, z='NO', rng=rng)
ds.plot_zone(inputs, results, z='OR', rng=rng)
ds.plot_zone(inputs, results, z='SU', rng=rng)
# Bar plot with the installed capacities in all countries:
cap = ds.plot_zone_capacities(inputs)
# Bar plot with the energy balances in all countries:
ds.plot_energy_zone_fuel(inputs, results,
ds.get_indicators_powerplant(inputs, results))
# Analyse the results for each country and provide quantitative indicators:
r = ds.get_result_analysis(inputs, results)
# Plot the reservoir levels
# Change directory to the root folder of Dispa-SET:
import sys,os
sys.path.append(os.path.abspath('..'))
# Import Dispa-SET
import dispaset as ds
# Load the configuration file
config = ds.load_config('../ConfigFiles/Config_Mid_Term_Scheduling.xlsx')
## Build simulation data with new profiles
SimData = ds.build_simulation(config,mts_plot=True,MTSTimeStep=24)
#Solve using GAMS:
r = ds.solve_GAMS(config['SimulationDirectory'], config['GAMS_folder'])
# Load the simulation results:
inputs,results = ds.get_sim_results(config['SimulationDirectory'],cache=False)
# Generate country-specific plots
ds.plot_zone(inputs,results,z='DE')
# Bar plot with the installed capacities in all countries:
cap = ds.plot_zone_capacities(inputs)
# Bar plot with the energy balances in all countries:
ds.plot_energy_zone_fuel(inputs,results,ds.get_indicators_powerplant(inputs,results))
# Analyse the results for each country and provide quantitative indicators:
r = ds.get_result_analysis(inputs,results)