Config Adjustments

As stated in the ToDos, the NEP 2021 costs are now assumed for all scenarios except for the two worst case scenarios. Furthermore, following the discussion on discord, the potential for renwables in Germany are set as the following:

PV: 1000 GW
Onshore Wind: 250 GW
Offshore Wind: 70 GW Those new limits come into effect as soon as the legislature gives no certain capacity goals anymore.

Side quest

In additional_functionality the constraints were only added to the linopy model which does not allow to look into them in the postnetwork. I added the constraints to the pypsa model as wel.

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

[x] Workflow with target rule ariadne_all completes without errors
[ ] The logic of export_ariadne_variables has been adapted to the changes not necessary
[ ] One or several figures that validate the changes in the PR have been posted as a comment minor changes no need for validation plots
[ ] A brief description of the changes has been added to Changelog.md not necessary
[x] The latest main has been merged into the PR
[x] The config has a new prefix of the format YYYYMMDDdescriptive_title

Validator Report

I am the Validator. Download all artifacts here. I'll be back and edit this comment for each new commit.

:warning: Config changes detected!

Results may differ due to these changes: ```diff diff --git a/config/config.yaml b/config/config.yaml index b02dced..7f6a4c8 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -4,7 +4,7 @@ # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#run run: - prefix: 240918_nep_DC + prefix: 240919_nep_2021_costs name: # - CurrentPolicies - KN2045_Bal_v4 @@ -413,10 +413,10 @@ solving: DE: 2020: 54.5 2025: 69 - 2030: 160 - 2035: 160 - 2040: 160 - 2045: 160 + 2030: 250 + 2035: 250 + 2040: 250 + 2045: 250 offwind: DE: 2020: 7.8 @@ -430,9 +430,9 @@ solving: 2020: 53.7 2025: 110 # EEG2023; assumes for 2026: 128 GW, assuming a fair share reached by end of 2025 2030: 400 - 2035: 400 - 2040: 400 - 2045: 400 + 2035: 1000 + 2040: 1000 + 2045: 1000 Store: co2 sequestered: DE: ```

Ariadne Variables

Comparison

	NRMSE	Pearson
Investment\|Energy Supply\|Electricity\|Hydrogen\|FC	10680979.980	0.000
Investment\|Energy Supply\|Heat\|Hydrogen	10680979.980	0.000
Investment\|Energy Supply\|Electricity\|Hydrogen	10680979.980	0.000
Price\|Final Energy\|Residential and Commercial\|Liquids	182280.333	0.000
Price\|Final Energy\|Residential and Commercial\|Liquids\|Oil	182280.333	0.000
Secondary Energy\|Heat\|Hydrogen	4952.548	0.706
Secondary Energy Input\|Hydrogen\|Heat	4913.258	0.694
Capacity\|Electricity\|Hydrogen\|FC	4711.349	0.632
Capacity\|Electricity\|Hydrogen	4711.349	0.632
Capacity\|Heat\|Hydrogen	4711.205	0.632
Secondary Energy\|Electricity\|Hydrogen	4127.130	0.471
Secondary Energy Input\|Hydrogen\|Electricity	3468.140	0.402
Capacity Additions\|Electricity\|Hydrogen	3331.223	1.000
Capacity Additions\|Electricity\|Hydrogen\|FC	3331.223	1.000
Capacity Additions\|Heat\|Hydrogen	3331.121	1.000

NRMSE: Normalized (min-max) Root Mean Square Error Pearson: Pearson correlation coefficient Threshold: NRMSE > 2 Only variables reaching the threshold are shown. Find the equivalent plot for all of them below.

Plots

Main branch	Feature branch

General

Plots comparison

Main branch	Feature branch

Files comparison

	Status	NRMSE	MAE (norm)
csvs/nodal_capacities.csv	:white_check_mark: Almost equal	0.000	0.00
csvs/nodal_supply_energy.csv	:white_check_mark: Almost equal	0.000	0.00
csvs/costs.csv	:white_check_mark: Almost equal	0.002	0.01
csvs/cfs.csv	:white_check_mark: Almost equal	0.039	0.00
csvs/cumulative_cost.csv	:white_check_mark: Almost equal	0.003	0.11
csvs/price_statistics.csv	:white_check_mark: Almost equal	0.018	0.12
csvs/nodal_cfs.csv	:white_check_mark: Almost equal	0.012	0.00
csvs/nodal_costs.csv	:white_check_mark: Almost equal	0.001	0.00
csvs/curtailment.csv	:white_check_mark: Almost equal	0.000	0.11
csvs/metrics.csv	:white_check_mark: Almost equal	0.004	0.15
csvs/supply.csv	:white_check_mark: Almost equal	0.001	0.01
csvs/capacities.csv	:white_check_mark: Almost equal	0.000	0.01
csvs/energy.csv	:white_check_mark: Almost equal	0.000	0.01
csvs/supply_energy.csv	:white_check_mark: Almost equal	0.001	0.02
csvs/prices.csv	:white_check_mark: Almost equal	0.019	0.00
csvs/market_values.csv	:white_check_mark: Almost equal	0.049	0.05
csvs/weighted_prices.csv	:white_check_mark: Equal

NRMSE: Normalized (min-max) Root Mean Square Error MAE (norm): Mean Absolute Error on normalized Data (min-max Status Threshold: MAE (norm) > 0.05 and NRMSE > 2

Model Metrics

Benchmarks

Comparing config_adjustments (548ea2f) with main (e7cb060). Branch is 3 commits ahead and 0 commits behind. Last updated on 2024-09-19 12:35:48 CEST.

PyPSA / pypsa-ariadne