With the scenario function, you gain insight into the effect of a set of combined measures. Before a scenario can be created, measures must first be defined.
Approved measures form the basis for every scenario and are therefore not selectable; after all, these are already being implemented or are scheduled for implementation. Only measures that are still in preparation are shown as options. By creating different scenarios, you can analyze which combination of additional measures (those not yet approved) will lead to achieving the objectives.
In a CO2 emissions graph, the prediction line and the various scenario lines can be selected. These scenario lines should be lower than the prediction line. This is because the prediction line is based solely on approved measures. In addition, scenarios contain measures that are still in preparation.
In the example below, several scenario lines are visible. The pink line, based on the potential measures "charging with green energy" and "green electricity on construction sites," results in the lowest output. This combination of measures provides more reduction than, for instance, "HVO usage" and "green electricityon construction sites." This allows management to make informed choices for a specific combination of measures.
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