Lifetime for stores

[lindnemi]

I started working on the lifetime of stores in pypsa-eur. The hope was that this might be related to the amount of a e-fuel used in later years, because without a lifetime, the capital cost of the store has to be paid again every year. So far i did not see a large impact

Before asking for a review for this PR make sure to complete the following checklist:

• Workflow with target rule ariadne_all completes without errors
• The logic of export_ariadne_variables has been adapted to the changes
• One or several figures that validate the changes in the PR have been posted as a comment
• A brief description of the changes has been added to Changelog.md
• The latest main has been merged into the PR
• The config has a new prefix of the format YYYYMMDDdescriptive_title

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Ariadne Variables

Comparison

	NRMSE	Pearson
Capacity|Hydrogen|Gas|w/ CCS	0.993	-0.196
Primary Energy|Biomass|Liquids	0.507	-0.255
Final Energy|Bunkers|Navigation|Liquids|Petroleum	0.496	0.348
Final Energy|Transportation|Liquids|Biomass	0.491	-0.199
Final Energy|Industry excl Non-Energy Use|Liquids|Biomass	0.490	0.110
Secondary Energy|Liquids|Biomass	0.480	0.541
Capacity|Gases	0.478	0.363
Capacity|Gases|Biomass	0.478	0.363
Final Energy|Liquids|Biomass	0.477	-0.119
Investment|Energy Supply|Gases	0.454	0.293
Investment|Energy Supply|Gases|Biomass	0.454	0.293
Capacity Additions|Gases|Biomass	0.446	-0.124
Capacity Additions|Gases	0.446	-0.124
Final Energy|Residential and Commercial|Liquids|Biomass	0.437	0.932
Investment|Energy Supply|Hydrogen|Gas|w/ CCS	0.408	-0.316
Capacity Additions|Hydrogen|Gas|w/ CCS	0.408	-0.195
Emissions|CO2|Energy|Supply|Gases	0.406	0.367
Primary Energy|Biomass|Gases	0.396	0.405
Investment|Energy Supply|Methanol	0.359	0.900
Price|Secondary Energy|Gases|Hydrogen	0.335	0.000
Capacity|Methanol	0.320	0.980
Secondary Energy|Methanol	0.316	0.971
Trade|Secondary Energy|Methanol|Hydrogen|Gross Import|Volume	0.308	0.959
Price|Secondary Energy|Liquids|Hydrogen	0.306	0.000
Trade|Secondary Energy|Methanol|Hydrogen|Volume	0.304	0.935
Emissions|CO2|Energy|Supply|Liquids and Gases	0.249	0.855
Final Energy|Industry|Liquids|Biomass	0.224	0.885
Price|Secondary Energy|Gases|Biomass	0.217	0.905
Emissions|CO2|Efuels|Liquids	0.212	0.914
Capacity Additions|Methanol	0.198	0.974
Final Energy|Non-Energy Use|Liquids|Biomass	0.197	0.912
Secondary Energy|Electricity|Biomass|Gaseous and Liquid	0.190	0.000
Final Energy|Bunkers|Aviation|Liquids|Petroleum	0.158	0.944
Capacity|Hydrogen|Gas	0.150	1.000
Secondary Energy|Electricity|Hydro	0.136	0.989
Capacity|Hydrogen|Gas|w/o CCS	0.133	1.000
Capacity|Electricity|Storage Converter	0.128	0.986
Emissions|CO2|Energy|Supply|Liquids	0.126	0.981
Capacity|Electricity|Gas|OC	0.122	0.999
Investment|Energy Supply|Hydrogen|Gas	0.120	0.960
Trade|Secondary Energy|Gases|Biomass|Volume	0.114	0.943
Capacity Additions|Hydrogen|Gas	0.113	0.963

NRMSE: Normalized (combined-min-max) Root Mean Square Error
Pearson: Pearson correlation coefficient
Threshold: NRMSE > 0.1
Only variables reaching the threshold are shown. Find the equivalent plot for all of them below.

Plots

Main branch	Feature branch

⚠️ Note: Only the first 20 variables are shown, but more are above the threshold. Find all of them in the artifacts.

General

Plots comparison

Main branch	Feature branch

Files comparison

	Status	NRMSE	MAE (norm)
csvs/market_values.csv	⚠️Changed	0.009	0.06
csvs/curtailment.csv	⚠️Changed	0.000	0.07
csvs/price_statistics.csv	⚠️Changed	0.004	0.19
csvs/cumulative_cost.csv	⚠️Changed	0.002	0.15
csvs/metrics.csv	⚠️Changed	0.003	0.06
csvs/nodal_cfs.csv	⚠️ NaN mismatch
csvs/cfs.csv	⚠️ NaN mismatch
csvs/prices.csv	✅ Almost equal	0.039	0.00
csvs/supply.csv	✅ Almost equal	0.002	0.01
csvs/nodal_costs.csv	✅ Almost equal	0.000	0.00
csvs/nodal_capacities.csv	✅ Almost equal	0.000	0.00
csvs/nodal_supply_energy.csv	✅ Almost equal	0.000	0.00
csvs/costs.csv	✅ Almost equal	0.003	0.00
csvs/capacities.csv	✅ Almost equal	0.004	0.01
csvs/supply_energy.csv	✅ Almost equal	0.001	0.01
csvs/energy.csv	✅ Almost equal	0.001	0.01
csvs/weighted_prices.csv	✅ Equal

NRMSE: Normalized (combined-min-max) Root Mean Square Error
MAE (norm): Mean Absolute Error on normalized data (min-max)
Status Threshold: MAE (norm) > 0.05 and NRMSE > 0.3

Model Metrics

Benchmarks

Comparing store-lifetime (fd73128) with main (7d9d9b4).
Branch is 2 commits ahead and 0 commits behind.
Last updated on 2024-10-10 19:28:37 CEST.