Example

To run a CE, UCED, or combined CE/UCED simulation the function masterFunction() (see Main Scripts) must be called within a python script.

This python script must also load the parameters needed to execute the simulation and pass them as arguments to masterFunction().

A minimal example of how to execute a capacity expansion only analysis from 2015 to 2050 is illustrated below.

The txt files are formatted csv files that contain the parameters data.

The parameters are python objects in which the fields store the values of specific parameters. After loading the values of the different parameters, they can also be changed by setting the values of the fields directly.:

from RIPSMasterScript import *
from Parameters import *

# Load parameters
# assumes that all parameter files are in the current working directory

genparam = Generalparameters()
genparam.load(fname='generalparameters.txt')

reserveparam = Reserveparameters()
reserveparam.load(fname='reserveparameters.txt')

curtailparam = Curtailmentparameters()
curtailparam.load(fname='curtailmentparameters.txt')

# change some parameters fields

# run only capacity expansion (CE) simulation
genparam.runCE = True
genparam.runFirstUCYear = False
genparam.runUC = False

# define start and end years of CE simulation
genparam.startYear = 2015
genparam.endYear = 2050

masterFunction(genparam, reserveparam, curtailparam)

The results from a capacity expansion simulation are stored in the results folder (defined in the field resultsDir inside the Generalparameters object). Most results are saved as csv files. There are also gdx files which have all results from the optimization model.

For example the file genFleetAfterCE2050.csv has the final composition of the generator fleet after the CE model simulation.