Open michieldenhaan opened 6 years ago
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This issue has had no activity for 60 days and will be closed in 7 days. Removing the "Stale" label or posting a comment will prevent it from being closed automatically. You can also add the "Pinned" label to ensure it isn't marked as stale in the future.
As discussed here: https://github.com/quintel/etsource/issues/1386#issuecomment-397301382 Refinery heat costs should not be taken into account in the total cost calculation to avoid double counting.
However, simply removing all refinery heaters from the
cost_traditional_heat
group is not sufficient to achieve this, because of the following. For gas and oil we take into account transport losses. As a result, total costs are lower when using (e.g.) biomass heaters in the Refinery sector than when using gas or oil heaters, as we still have to 'pay' for the losses of getting the gas/oil to the sector. This is the reason that the Mechanical Turk fails (https://semaphoreci.com/quintel/mechanical_turk/branches/master/builds/1813). The difference is very small tho (less than 0.1 billion in NL 2015).The cost difference between using biomass heaters and hydrogen heaters is much larger: 4 billion. The reason for this is that hydrogen fuel costs are not part of the
cost_traditional_heat
category but are included in thehydrogen_production
category. Removing the hydrogen burner from thecost_traditional_heat
group hence only means that burner investment costs are excluded from the cost calculation, not hydrogen fuel costs.Using district heating increases costs as well (compared to using biomass heaters). The difference is around 0.9 billion in an NL 2015 base scenario, but depends on the sources of the district heating network.
I do not see a quick solution for this problem. Adding a 'Refinery cost correction' query to the total cost calculation is quite tedious and not very elegant.
My proposal is to disable the Mechanical Turk test for now and plan a meeting about a long term solution soon. Would like to hear your opinions @ChaelKruip and @AlexanderWirtz.