10.9) Exercises

Pick one or two of the following exercises to get more familiar with you model.

1. Use the first model version from this section and make a combine parameter variation experiment, where you vary subsidies per m2 and kWh at the same time, and show the results in a contour plot (Hint: Take the mean of the 10 runs of each parameter combination into a new table in excel). Which bundle of measures leads to the highest adaptation, and which one would you consider as an optimal policy?
2. Continuing from exercise 1 (or the single parameter variation experiments in the course): Each subsidy scheme requires a certain amount of funds from the government. Think about how to measure this and which subsidy scheme or combination offer the highest return (solar power generation) on investment?
3. Use the last version of your model to try to find the interest rate tipping point above which adoption drastically drops. (Hint: Create a new experiment in BehaviourSpace to vary the interest rate and measure total PV generation.)
4. People might not only discount future benefits but have as well different expectations about the development of the future electricity market. Up to now we assumed no price increase in the accounting function. Include a global parameter for electricity-cost-increase, use the mean of current and expected future electricity costs to calculate the avoided costs with a PV installation. You can then analyse the impact of peoples’ expectations about future prices on the PV adoption.