| Accumulated market congestion and average MACZT per location of CNECs in the Nordic CCR - 29 October 2024 to 31 March 2025 (thousand EUR/MW and % of Fmax) |
Figure 38 |
ACER calculation based on JAO Publication Tool |
|
| Active constraints in Core flow-based market coupling at 19:00 CEST, weighted by accumulated shadow price and categorised by average MACZT - July to September 2024 (EUR/MW and % of Fmax) |
Figure 14 |
ACER calculation based on JAO Publication Tool data |
|
| Application of IVA of each Core TSO weighted by the estimated market impact – 2024 (% of Fmax and % of hours) |
Figure 27 |
ACER calculation based on JAO Publication Tool data |
|
| Average SDAC prices at 19:00 CEST in operational data (left) and 70% simulation (right) – July to September 2024 (EUR/MWh) |
Figure 15 |
ACER simulation based on Simulation Facility and ENTSO-E Transparency Platform |
|
| Average breakdown of Fmax in the Core day-ahead and IDCC(b) domains, on the CNECs with the lowest MACZT per TSO and hour in IDCC(b) – June to December 2024 (% of Fmax) |
Figure 31 |
ACER elaboration based on JAO Publication Tool data |
|
| Average day-ahead price in selected bidding zones when default flow-based parameters are applied (left), compared with simulated prices under a statistical flow-based domain (right) – 25 June 2024 (EUR/MW) |
Figure 20 |
ACER simulation based on Simulation Facility and ENTSO-E Transparency Platform data |
|
| Average day-ahead prices in South-east Europe at 19:00 CEST – July to September 2024 (EUR/MWh) |
Figure 11 |
ACER calculation based on ENTSO-E Transparency Platform data |
|
| Average day-ahead prices in peak hours for the bidding zones in the Core CCR under the different simulated scenarios – 2024 (EUR/MWh) |
Figure 8 |
ACER calculation based on Simulation Facility |
|
| Average hourly SDAC price in a selection of EU bidding zones – July to September 2024 (EUR/MWh) |
Figure 12 |
ACER calculation based on ENTSO-E Transparency Platform data |
|
| Average intraday cross-zonal capacities at 15:00 and 22:00 day-ahead in the Nordic CCR before and after Nordic flow-based market coupling go-live – 2023-2024 (MW) |
Figure 39 |
ACER elaboration based on ENTSO-E Transparency Platform data |
|
| Average intraday cross-zonal capacities released at 15:00 and 22:00 in Core CCR before and after IDCC(b) go-live – 2023-2024 (MW) |
Figure 33 |
ACER calculation based on ENTSO-E Transparency Platform data |
|
| Average minimum and maximum net positions of Core bidding zones within Core IDCC(b) and day-ahead capacity calculation – June to December 2024 (MW) |
Figure 29 |
ACER elaboration based on JAO Publication Tool data |
|
| Average minimum hourly MACZT in the Core CCR per Member State in IDCC(b) and day-ahead capacity calculation, considering flows induced by third-country exchanges – June to December 2024 (% of Fmax) |
Figure 32 |
ACER elaboration based on JAO Publication Tool data |
|
| Average minimum hourly MACZT in the Core CCR per Member State, considering flows induced by third-country exchanges – 2022-2024 (% of Fmax) |
Figure 22 |
ACER calculation based on TSO data |
|
| Average minimum hourly margin available for cross-zonal trade in the Nordic capacity calculation region per TSO and constraint location – 29/10/2024 to 31/12/2024 (% of Fmax) |
Figure 36 |
ACER calculation based on JAO Publication Tool data |
|
| Average natural MACZT levels on the CNECs pre-solved flow-based domain for all Core Member States under different bidding zone configurations – 2025 scenario for climate year 09 (% of Fmax) |
Figure 52 |
ACER calculation based on ENTSO-E bidding zone review data |
|
| Average natural MACZT levels on the worst CNEC of the pre-solved flow-based domain under different bidding zone configurations and climate years per Core Member State – 2025 scenario (% of Fmax) |
Figure 53 |
ACER calculation based on ENTSO-E bidding zone review data |
|
| Average price difference per bidding zone border in SDAC – 2024 (EUR/MWh) |
Figure 2 |
ACER calculation based on ENTSO-E Transparency Platform data |
|
| Average standard deviation of day-ahead prices in the bidding zones of the Core CCR under different capacity scenarios per quarter – 2024 (EUR/MWh) |
Figure 10 |
ACER calculation based on Simulation Facility |
|
| Breakdown of the variation in SDAC economic surplus stemming from finalising the implementation of the minimum 70 % requirement in the Core CCR – 2024 (million EUR) |
Figure 7 |
ACER calculation based on Simulation Facility |
|
| Comparison of the first and last planned commissioning date for internal infrastructure projects in the ten-year network development plan – 2016-2024 |
Figure 49 |
ACER calculation based on TYNDP data |
|
| Count of instances of day-ahead prices above 400 EUR/MWh in select EU bidding zones, compared with the counterfactual analysis – July to September 2024 (number of instances) |
Figure 16 |
ACER simulation based on Simulation Facility |
|
| Curtailment of energy generated by renewable technologies as a percentage of total renewable energy generation for each Member State – 2024 (% of renewable electricity generation) |
Figure 47 |
ACER calculation based on NRA and ENTSO-E Transparency Platform data |
|
| Distribution of redispatching volumes according to the type of network element that is congested in the Member States from the Core CCR – 2024 (GWh and % of redispatching volume) |
Figure 48 |
ACER calculation based on NRA data |
|
| Economic surplus of SDAC under different statistical flow-based domains as an alternative to the current fallback process – 25 June 2024 (million EUR) |
Figure 19 |
ACER simulation based on Simulation Facility data |
|
| Evolution of planned HVDC infrastructure investments within the Germany-Luxembourg bidding zone over different ten-year network development plans - 2016-2024 (MW) |
Figure 50 |
ACER calculation based on TYNDP data |
|
| Evolution of the average share of cross-zonal exchanges in the day-ahead timeframe over electricity demand in EU and Norwegian bidding zones - 2016-2024 (% of electricity demand) |
Figure 1 |
ACER calculation based on ENTSO-E Transparency Platform data |
|
| Evolution of the distribution of market congestion in the Core CCR per Member State – June 2022 to December 2024 (EUR/MW) |
Figure 5 |
ACER calculation based on JAO Publication Tool data |
|
| Evolution of the monthly average non-simultaneous minimum and maximum net positions per bidding zone in the Nordic CCR – 2017-2024 (GW) |
Figure 34 |
ACER elaboration based on JAO Publication Tool and ENTSO-E Transparency Platform data |
|
| Evolution of the volume (top) and costs (bottom) of remedial actions activated in the EU and Norway – 2021-2024 (TWh and billion EUR) |
Figure 46 |
ACER calculation based on NRA data |
|
| Levels of price convergence in the Core CCR (excluding Poland) under different cross-zonal capacity scenarios per quarter – 2024 (% of hours) |
Figure 9 |
ACER calculation based on Simulation Facility |
|
| Market congestion in the Core CCR weighted by the accumulated shadow price and categorised by margin available for cross-zonal trade – 2024 (EUR/MW and % of Fmax) |
Figure 4 |
ACER calculation based on JAO Publication Tool data |
|
| Number of instances of day-ahead prices in Hungary above a varying threshold under different cross-zonal capacity scenarios – July to September 2024 |
Figure 17 |
ACER calculation based on Simulation Facility |
|
| Overview of the interim capacity requirements as defined by applicable action plans and/or derogations in the Core CCR for each Member State – 2024 (% of Fmax) |
Figure 25 |
ACER calculation based on TSO data |
|
| Overview of the status of implementation of the minimum 70% requirement in the EU for each Member State - 2024 |
Figure 21 |
ACER elaboration based on NRA data |
|
| Percentage of hours in which at least one CNEC has a RAM below zero in the IDCC(b) domains for the Core Member States and average absolute negative RAM as a share of Fmax – June to December 2024 (% of hours and % of Fmax) |
Figure 30 |
ACER calculation based on JAO Publication Tool data |
|
| Percentage of hours when 70% of MACZT, or predefined ranges of values, was offered in the Baltic CCR for each Member State and oriented bidding zone border – 2024 (% of hours) |
Figure 56 |
ACER calculation based on TSO data |
|
| Percentage of hours when 70% of MACZT, or predefined ranges of values, was offered in the Hansa CCR for each Member State and oriented bidding zone border – 2024 (% of hours) |
Figure 54 |
ACER calculation based on TSO data |
|
| Percentage of hours when the hourly MACZT was above 70% or within predefined ranges in the Greece-Italy CCR for each Member State and oriented bidding zone border – 2024 (% of hours) |
Figure 44 |
ACER calculation based on TSO data |
|
| Percentage of hours when the hourly MACZT was above 70% or within predefined ranges in the Italy North CCR for each Member State, considering flows induced by third-country exchanges – 2024 (% of hours) |
Figure 40 |
ACER calculation based on TSO data |
|
| Percentage of hours when the hourly MACZT was above 70% or within predefined ranges in the SEE CCR for each Member State and oriented bidding zone border, considering flows induced by third-country exchanges – 2024 (% of hours) |
Figure 42 |
ACER calculation based on TSO data |
|
| Percentage of hours when the hourly MACZT was above 70% or within predefined ranges in the SWE CCR for each Member State and oriented bidding zone border – 2024 (% of hours) |
Figure 41 |
ACER calculation based on TSO data |
|
| Percentage of hours when the minimum hourly MACZT was above 70% or within predefined ranges in the Core CCR for each Member State, considering flows induced by third-country exchanges – 2024 (% of hours) |
Figure 23 |
ACER calculation based on TSO data |
|
| Percentage of hours when the minimum hourly MACZT was above 70%, or within predefined ranges, in the Nordic CCR for each Member State – 29 October to 31 December 2024 (% of hours) |
Figure 35 |
ACER elaboration based on TSO data for Denmark, Finland and Sweden, and JAO Publication Tool data for Norway |
|
| Percentage of hours when the minimum hourly MACZT was above the interim targets in the Core CCR for each Member State with an action plan and/or derogation, considering flows induced by third-country exchanges – 2024 (% of hours) |
Figure 26 |
ACER calculation based on TSO data |
|
| Percentage of hours when the minimum hourly MACZT was above the interim targets in the Hansa CCR for each Member State, considering flows induced by third-country exchanges – 2024 (% of hours) |
Figure 55 |
ACER calculation based on TSO data |
|
| Percentage of hours when the minimum hourly MACZT was above the interim targets in the SEE CCR for each Member State, considering flows induced by third-country exchanges – 2024 (% of hours) |
Figure 43 |
ACER calculation based on TSO data |
|
| Redispatching volume triggered in central Europe under different bidding zone configurations and climate years – 2025 scenario (TWh) |
Figure 51 |
ACER calculation based on ENTSO-E bidding zone review data |
|
| Relative decrease of non-simultaneous minimum and maximum Core net position on the 25 June 2024, compared to the rest of June 2024, per Core bidding zone – June 2024 (% of decrease) |
Figure 18 |
ACER calculation based on JAO Publication Tool data |
|
| Relative share of market congestion in the Nordic CCR per type of capacity constraint - 29 October 2024 to 31 March 2025 (% of accumulated shadow price) |
Figure 37 |
ACER calculation based on JAO Publication Tool |
|
| SDAC economic surplus in 2024 under different cross-zonal capacities scenarios in the Core CCR – 2024 (billion EUR) |
Figure 6 |
ACER calculation based on Simulation Facility |
|
| Share of MACZT that corresponds to the adjustment for minimum RAM (AMR) and natural RAM in the CNECs with minimum hourly MACZT per Core TSO, considering flows induced by thirdcountry exchanges – 2022-2024 (% of MACZT) |
Figure 28 |
ACER calculation based on JAO Publication Tool data |
|
| Two-week rolling average of the maximum possible bilateral exchange and price spread on the Austria-Hungary bidding zone border at 19:00 CET/CEST – 2024 (MW and EUR/MWh) |
Figure 13 |
ACER calculation based on JAO Publication Tool and ENTSO-E Transparency Platform data |
|
| Volume of remedial actions activated in each Member State as a percentage of electricity demand, and categorised by the most common operational security violation – 2024 (% of electricity demand) |
Figure 45 |
ACER calculation based on NRA and ENTSO-E Transparency Platform data |
|
| Weekly averages of minimum, average and maximum MACZT on the CNECs with minimum hourly MACZT per TSO in the Core CCR, considering flows induced by third-country exchanges – June 2022 to December 2024 (% of Fmax) |
Figure 24 |
ACER calculation based on JAO Publication Tool data |
|
| Yearly evolution of congestion income generated in SDAC – 2018-2024 (billion EUR) |
Figure 3 |
ACER calculation based on ENTSO-E Transparency Platform data |
|