All insights
SERIES · 6 PARTS · BESS, RES

Alignment Score

Does Poland's battery investment geography match where the grid actually needs it?

A multi-part quantitative series testing whether the geography of Poland's BESS deployment lines up with regional curtailment risk, energy demand and RES penetration. Each part shares findings, methodology and limitations as a starting point for a more rigorous conversation than the prevailing industry narrative tends to allow.

  1. 1
    Alignment score between BESS deployment and curtailment risk

    Introducing the Alignment Score series, a quantitative check of whether Poland's battery investment geography actually matches where the grid needs balancing.

    16 Jun 2026 · 4 min
  2. 2
    Alignment score findings

    BESS investments gravitate toward regions where development conditions are favourable, not toward regions where the grid actually needs balancing.

    16 Jun 2026 · 5 min
  3. 3
    RES coverage ratio and regional energy balance

    214% seems like the number to watch. 99% is more interesting right now, where storage investment could be most geographically justified over the next few years.

    16 Jun 2026 · 4 min
  4. 4
    NFOŚ grant awards: a market of few large institutional bets

    Investors hold 65% of all awarded capacity across just 43 projects out of 183 subsidised. The rest is scattered.

    16 Jun 2026 · 4 min
  5. 5
    NFOŚ grant submitted but not awarded: BESS pipeline in Poland

    Investors submitted close to 10 GW and walked away with around 3 GW. The pattern of rejections tells its own story about grid alignment.

    16 Jun 2026 · 5 min
  6. 6
    Capacity market projects

    Megascale battery projects and small MV-connected projects both have their place in the Capacity Market. Looking at 2027–2030 delivery data, the top 17 projects out of 174 hold over half the contracted capacity.

    16 Jun 2026 · 4 min
Series reference

Methodology, limitations & disclaimer

Shared across every part of the series. Each post builds on the same framework, sources and caveats summarised below.

Analytical framework

RES coverage ratio

Ratio of average RES output to average energy consumption. Above 1.0 = structural surplus, below 1.0 = deficit.

Structural surplus or deficit (MW)

Difference between average RES output and average energy consumption. Positive = generation exceeds consumption.

Alignment Score (0–1)

Proportionality of BESS capacity to curtailment risk share. Below 0.30 = severely misaligned.

Curtailment risk score

Each voivodeship's proportional share of national potential curtailment risk, capped at 1.0 (100% of avg consumption).

Mismatch (pp)

Gap between how much BESS investment a region receives and how much curtailment risk it actually carries. Positive = over-allocation, negative = under-allocation.

Saturation index

Ratio of blocked PSE substations to total substations. Measures transmission infrastructure unavailability.

Key assumptions

  • Onshore RES availability factor: 18% (blended PV/wind/hydro).
  • Offshore wind availability factor: 45%.
  • Annual averages used. Real curtailment is intraday, so estimates are conservative.

Data sources

  • NFOŚiGW grant allocations, winning only (Dec 2025).
  • Results of Capacity Market auctions for delivery years 2027-2030 (PSE).
  • URE registers of installed RES (Sep 2025, most up to date).
  • ARE consumption statistics in 2024 (most up to date).
  • URE, Report on Redispatching Mechanisms in Poland for 2024.
  • PSE, Guardian and Architect, PSE Strategy to 2040 (2025).
  • PSE, Substations with No Available Connection Capacity (Feb 2026).

Limitations

  1. 01Temporal resolution of energy data

    ARE publishes energy consumption as annual voivodeship totals, converted to average MW (GWh × 1,000 / 8,760). This flat annual average systematically understates curtailment severity: real curtailment is an intraday event concentrated in peak PV and night wind windows. The structural surpluses and deficits identified here are therefore conservative estimates.

  2. 02No grid topology modelling

    Line capacity, transformer bottlenecks and DSO technical limits are absent. A voivodeship with high RES installed capacity and a large planned BESS fleet could still experience significant curtailment if the local distribution grid is congested at the substation level. This analysis establishes structural geographic predisposition to curtailment, not confirmed event frequency or grid-constrained capacity thresholds.

  3. 03Blended RES availability factors

    A single 18% capacity factor is applied to combined PV + Wind + Hydro per voivodeship. Wind-dominant northern regions likely have higher effective factors, while PV-dominant southern regions may be overstated.

  4. 04Unallocated CM 2030 tranche

    Around 3,910 MW of capacity market awards from the 2030 delivery auction were excluded as geographic allocation data had not been published. This represents about 16% of the total BESS pipeline.

  5. 05Temporal asymmetry between RES and BESS data

    RES data reflects current installed capacity, while BESS data reflects planned and awarded capacity for 2027-2030 delivery. The asymmetry is intentional: the question is whether investment decisions respond rationally to the existing and near-term RES landscape. Regions where RES capacity is expected to grow significantly before 2030, particularly pomorskie with its 3,435 MW offshore award, may see their structural position shift materially before BESS assets enter service.

  6. 06Cross-border flows excluded

    Transmission interconnections are not modelled. Poland both exports surplus generation and imports during deficit periods, affecting true net curtailment exposure of border voivodeships.

  7. 07DSO-level attribution of curtailment data

    URE 2024 report provides curtailment at DSO level, not voivodeship level. DSO territories don't map perfectly to administrative boundaries, so the cross-validation involves a degree of geographic approximation.

Disclaimer

This is a structural geographic diagnostic conducted as of March 2026, not an operational planning tool. The analysis relies on averages, simplifications and approximations, working exclusively with publicly sourced data and subject to the methodological limitations described. Drawing conclusions from averaged, lower-resolution data carries the risk of hasty inference; the objective is to identify trend and pattern, and to define potential development pathways for both RES and BESS projects.