1. Preparation of input data

Preparation for analysis of results test

To be sure that you have correct results to go into the final test, we will provide you with some values to check your solution. In the result.gdx you achieved for each scenario, there is a variable "r_cost_objectiveFunction_t". In the following table you find the values this variable should have (little deviations are ok). If you recieved another value, check whether you followed all instructions for the preparation of the input data correctly.

scenario base hydrogen case elastic demand - average VoLL elastic demand - min VoLL elastic demand - max VoLL
r_cost_objectiveFunction_t 196005 85935 192138 172628 196005

In the final test, you will be asked to upload four plots. To save time, you should prepare them before hand. The plots are:

  1. For the base case, plot the storage state of the node DE0 5 battery over the year (as reported in r_state_gnft).
  2. For the base case, plot the production of the renewable generators over the year (as reported in r_gen_gnuft).
  3. A diagramm comparing the total realized costs between the 3 cases you modeled (base case, hydrogen storage and elastic demand with average VoLL). You can neglect the results for minimum and maximum VoLL here.
  4. A diagramm comparing the number of invested units (grouped by carrier: solar, wind, battery, hydrogen storage) of the 3 cases you modeled (as definded above). Backbone does not directly provide this information, therefore you will have to work a little with the information provided in r_invest.

Be careful to add axes labels and units.

Onshore wind is shortened with onwind, offshore wind with offwind. There are two types of offshore wind (ac and dc), this referes to the type of connection they have with the mainland (alternate current or direct current). For the analysis, this does not matter, you can just add all types of wind to the carrier wind.