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Analysis · Lithuania (LT bidding zone)

Lithuania more than doubled wind and solar in two years. The average price didn’t fall. The value of a solar MWh did.

ENTSO-E generation, capacity and day-ahead prices for the LT bidding zone, January 2024 to 15 September 2026, with a 2030 scenario model built on Litgrid’s connection pipeline.

Published 16 September 2026 · Data to 15 September 2026 · Source: ENTSO-E Transparency Platform; Litgrid connection pipeline

2.51 GWwind installed, Jan 2026+95% since 2024
3.02 GWsolar installed, Jan 2026+159% since 2024
426 MWbattery storage, Jan 2026none reported before
73%wind + solar share of generation, 2026 YTDvs 62% in 2024
€98.1average day-ahead price, 2026 YTDvs €87.2 in 2024
  1. Wind capacity rose 95% and solar 159% between January 2024 and January 2026. Wind and solar now produce 73% of domestic generation, up from 62%.
  2. The average day-ahead price did not fall: €98.1/MWh so far in 2026 against €87.2 in the same period of 2024. Fuel and import prices lifted the whole price curve more than new capacity pushed it down.
  3. What solar earns did fall. Its capture rate dropped from 75% of the baseload price to 55%, and each extra GW of solar lowers the price by about €76/MWh in the same month and hour.
  4. In the base 2030 scenario the model puts wind and solar at 106% of demand, with solar earning 60% of the baseload price.
01 · Adoption

The fleet grew fast; output followed

Installed capacity, start of year

GW, ENTSO-E. Storage first reported in 2026.

Wind and solar share of domestic generation

Rolling 12 months. Excludes imports, so this is not share of consumption.

Monthly generation mix and day-ahead price

Average MW per month (bars) and monthly average price (line, right axis).

Wind output Jan–mid-Sep grew 20% in 2025 and 44% in 2026; solar grew 21% and 41%. Gas doubled in H1 2025, when local units ran for system security around the February 2025 synchronisation with continental Europe, then fell back.

02 · Price impact

Renewables push prices down hour by hour, but not on average

55%solar capture rate, 2026 YTDfrom 75% in 2024
89%wind capture rate, 2026 YTDfrom 84% in 2024
−€76per MWh for each extra GW of solar, same month and hour
−€70per MWh for each extra GW of wind, same month and hour
441hours below €5, 2026 YTDvs 782 same period 2025

Merit-order effect

Median hourly price in 250 MW bins of combined wind and solar output. Bins with fewer than 40 hours are hidden.

Within the same month and hour, each extra GW of wind or solar lowers the price by roughly €50–87/MWh. The 2026 curve sits higher at every output level: fuel and import prices moved the whole curve up more than new capacity pushed it down.

What wind and solar actually earned

Generation-weighted price vs baseload average, 1 Jan – 15 Sep each year.

Solar earned 75% of the baseload price in 2024 and 55% in 2026: classic cannibalisation. Wind held up and even improved in 2026 because the windy months were also the expensive winter months. Hours below €5 fell in 2026 despite more solar, consistent with new batteries, Kruonis pumping and price-responsive curtailment absorbing midday surplus.

Average price by hour of day

Lines: price by year. Bars: average 2026 solar output (right axis).

Regression: price effect per GW

Hourly prices with year-month × hour fixed effects, which absorb fuel price level and daily shape.

Period€/MWh per GW windper GW solarwithin R²
2024-87.2-80.10.16
2025-81.7-80.20.21
2026-51.3-70.40.17
All years-70.4-75.60.17

The solar effect is steady at about −€70 to −80/MWh per GW. The wind effect weakened in 2026, to −€51 from −€87 in 2024.

03 · Seasons and anomalies

Cheap sunny middays, expensive winters

Price heatmap: month × hour

036912151821Jan949791878790106144185198189186190192192195203203192179168151127112Feb102107999492103135170195211202186175180173174182204196189171143130118Mar71706563647110212211688694434323038649613614613612110586Apr58605654556175878771513025221920223159871071048870May1079791909091971009678554037343233395173104130146140123Jun1261181051019894949910087665045423736394775123161184171149Jul115104938783818691917750322824232225315794129139136120Aug90836865677179919386675146423940445384123148147127109Sep13011799959696124138143131105766463576177107148183183192167151OctNovDec
€0 €200+

Daily price with anomaly detection

Daily average price against a baseline (31-day rolling median adjusted for wind and solar output). Diamonds mark days where the residual exceeds 4 robust standard deviations; triangles mark system events.

DatePriceExpectedWind + solar MWGas MWzWhat the data shows
2024-01-05€667€13118581620.0Near-windless day, gas dispatched hard; scarcity priced from imports
2026-02-03€385€1717675798.0Low renewables with heavy gas use
2025-03-31€312€1023722537.8Near-windless day, gas dispatched hard; scarcity priced from imports
2025-10-07€291€1322314005.9Near-windless day, gas dispatched hard; scarcity priced from imports
2024-12-12€235€886625305.5Low renewables with heavy gas use
2026-02-02€314€1767215225.2Low renewables with heavy gas use
2024-10-02€241€1151261884.7Near-windless day, gas dispatched hard; scarcity priced from imports
2025-11-25€269€1441183044.7Near-windless day, gas dispatched hard; scarcity priced from imports
2025-04-01€187€75684624.1Price well above what domestic supply explains; likely interconnector or regional scarcity
04 · 2030 outlook

More capacity, lower prices, and a growing surplus to place

Additions to the start-of-2026 fleet (wind 2.51 GW, solar 3.02 GW, storage 0.43 GW) from Litgrid’s transmission connection pipeline. Pick a build-out scenario:

Fixed assumptions: demand 15 TWh (2025 ≈ 12.6), +1 GW distributed solar, fuel and import prices at Sep 2025–Sep 2026 levels, 1.2 GW export capacity in surplus hours, wind capacity factor 25%, solar 10%.

106%wind + solar as share of 2030 demandtoday ≈ 61%
€68modelled baseload pricemodel today €93
60%solar capture rate€41/MWh; today 66%
83%wind capture rate€57/MWh
1,360expected hours below €5today ≈ 625
1.67 TWhsurplus beyond export limit2,034 hours; 10.5% of wind + solar

Capacity path to 2030

Actual 2024–2026, then a linear build to the scenario (faded). Line: average demand.

Price duration curve

All 8,760 hours sorted from most to least expensive.

A week in 2030

Hourly supply against demand, using that week’s actual weather scaled to the 2030 fleet. Storage charging shows below zero.

05 · Method

How the 2030 model works, and where it breaks

  • Weather year is 16 Sep 2025 – 15 Sep 2026. Hourly wind and solar shapes are rescaled to 2030 capacity and the chosen capacity factors. One weather year cannot show year-to-year variation.
  • No hourly load was supplied. Demand uses a stylised seasonal and daily profile scaled to the annual TWh; ENTSO-E actual load for LT would replace it.
  • Prices come from an empirical curve fitted on the weather year: price = monthly scarcity price × 1.25·e−0.95·coverage, where coverage is domestic renewable and must-run supply divided by demand. In-sample it reproduces a €92.5 base vs €97.4 actual and a solar capture price of €60.8 vs €56.3 actual, so it is somewhat optimistic for solar.
  • Beyond coverage of about 1.9 the curve is extrapolation. It assumes neighbours absorb surpluses as they do today; if Latvia, Estonia, Poland and SE4 add solar at the same pace, midday prices will be lower than shown.
  • Storage runs one cycle per day at 88% round-trip efficiency, charging in the cheapest and discharging in the most expensive hours. It does not model balancing-market revenue, which currently drives most Baltic battery dispatch.
  • ENTSO-E aggregated data undercounts wind and solar by roughly 10% against Litgrid totals, so historical outputs were scaled by 1.1 for calibration. Pipeline projects commissioned during 2026 may already be counted in the 2026 baseline.

Sources: ENTSO-E Transparency Platform (LT generation per type, installed capacity, day-ahead prices); Litgrid connection pipeline statement. Prices in EUR/MWh; 15-minute data from October 2025 averaged to hourly.

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