Closed jokochems closed 1 year ago
Another heads up: Using this strategy, a model run with hourly resolution and considering the median estimate for technical demand response potentials as well as for the costs of flexibility options terminated, though memory usage (around 460 GB) was very close to the available resource limit.
For solving large long-term models (European scope, 2020-2025/2050, hourly resolution, including demand response), currently
Out of Memory Error
s are faced.These are twofold:
Problem 1 (full instance: including demand response and 2020-2050):
Out of Memory Error
already occurs in the model build. Thus, the model formulation itself causes some problems.pommesinvest
: Reduce the optimization horizon to 2020-2045 (as has already been done) and/or aggregate market zones of other countries to one single geographical node per country as the focus is on evaluating Germany and cross-border exchange is not of major interest.Problem 2 (reduced instance: reducing to 2020-2045):
TempfileManager
to address this issue.