The Electrotech Revolution

Harnessing the Winds

Adding wind lowers the cost of round-the-clock clean power for places that use 71% of the world's electricity

Key findings

  • At 90% uptime, adding wind lowers the cost of round-the-clock clean power for places that use 71% of the world's electricity – and by more than $15/MWh for 47%. Weighted by people, the gain reaches 38% of the world's people, and 21% by more than $15/MWh.
  • The resource is vast. The world's technical wind potential is at least 19 times its electricity demand on conservative assumptions, and up to 38 times on the atlas's default ones.
  • In Europe, wind blows when the sun is weak. In Germany, wind delivers 44% of its annual output from November to February; solar 12%.
  • The north needs wind to keep costs down. North of 50°N, the standard solar and battery builds reach 90% uptime for 84% of people. But solar and batteries alone cost a median $180/MWh there. With wind, the median is $103/MWh – less than three-fifths of that.
  • Round-the-clock clean power keeps getting cheaper. Onshore wind's installed cost falls 25% with each doubling of capacity. On the atlas's local cost paths, the cost of 99% uptime halves by 2050, and wind stays in the cheapest build for 90% uptime for most demand.

Introduction

Solar and batteries cover the daily cycle. Our earlier analysis, Harnessing the Sun, found they can already serve a flat load for most hours of the year in most places: with the atlas's standard builds, they reach 80% uptime for 99.9% of people. What they struggle with is the rest of the year, above all the dark winters of the high latitudes. That is where wind comes in.

We added wind to the Solar + Wind + Battery Atlas. The model divides the world, without Antarctica and Greenland, into 4,465 regions and asks, in each, what it takes to serve a flat 1 GW load from local resources alone: up to 20 GW of solar, up to 8 GW of onshore or offshore wind and up to 36 GWh of batteries per GW of load, run through every hour of ten weather years, 2015–2024. For each target uptime – the share of the load's energy the build delivers, averaged over the ten years – the model finds the cheapest build that gets there.

It is a sceptic's test: no grid imports, no demand flexibility, no hydro and no backup. Costs are the atlas's local costs at 2026 prices: each country's own capital costs for solar, batteries and wind, and its own cost of capital, a median of 7.5% weighted by demand. Finance counts as much as physics: the same build costs more where money costs more.

The comparison is like for like. Wind counts as the cheaper route only where solar and batteries can also reach the target and the build with wind costs less. Where the standard builds fall short, the model also tries much larger solar and battery builds – up to 200 GW of solar and 4,608 GWh of batteries per GW of load – with the ten-year record repeating end to end, so a battery starts the record with what it held at its end. Builds this oversized are a thought experiment: the comparison is about cost, not feasibility.

The map shows the capacity factor each region's onshore wind simulates, set by the windiest fifth of its eligible land. Grey regions have no eligible land for a wind farm.

1

Adding wind lowers the cost for places that use 71% of the world's electricity

At 90% uptime, adding wind lowers the cost of round-the-clock clean power for places that use 71% of the world's electricity, and by more than $15/MWh for 47%.1 Weighted by people, the share is smaller: 38% of the world's people gain, 21% by more than $15/MWh, with a median saving of $17/MWh where wind helps. The gap lies mostly in the tropics, home to many people who use little electricity today.

Solar and batteries alone can reach 90% uptime everywhere once the model allows oversized builds, so this is a comparison of cost, not of feasibility.

Where both can reach 90%, wind cuts the demand-weighted median cost from $112 to $92/MWh, or 18%. The cut is 22% at 50% uptime, falls to about a sixth between 70% and 90% and rises to 28% at 99% uptime, where solar and batteries alone need ever more storage.

Latitude matters more. Between 0° and 15°, wind changes almost nothing. North of 55°, it cuts the cost of 90% uptime by 64%, from $299 to $109/MWh. At 99% uptime, solar and batteries alone cost $650/MWh there; with wind, $202.

Adding wind saves most at high latitude and high uptime

Median saving from adding wind to solar and batteries, by latitude band (both hemispheres) and for the world, as uptime rises from 50% to 99%, weighted by electricity demand ($/MWh), 2026 local costs

Source: Ember, Solar + Wind + Battery Atlas (2026 local capital costs and cost of capital); Chen et al. (2022); Ember analysis

For 62% of the world's people, solar and batteries alone are the cheapest route to 90% uptime. About a third of them – one in five people (22%) – live where even the windiest fifth of the land would run a turbine at under 15% of its capacity: the Indo-Gangetic plain from Pakistan to Bangladesh, Indonesia, the Sichuan basin, southern Nigeria, Uganda and the Congo basin. These are low-wind places, not gaps in the data. India's 29 such regions have a median wind speed of 4.7 m/s at 100 m, and their median patch of eligible land would run at 10% of its capacity.

Weighted by people, the like-for-like cut at 90% uptime is 10%.

Onshore wind does nearly all of the work. Without offshore wind, wind is still the cheaper route for 71% of demand against solar and batteries of any size.

On the map, dark green marks regions where wind saves little or nothing at 90% uptime, and lighter shades larger savings.

2

The wind resource is vast

On conservative assumptions – capacity factors scaled to those of new wind farms, 3 MW per km² of eligible land and only land that still reaches a 20% capacity factor – the world's technical wind potential is at least 19 times its electricity demand in 2025 (31,820 TWh): about 620 PWh a year, of which 554 PWh is onshore and 64 PWh offshore (fixed-bottom). On the atlas's default assumptions, 5 MW per km² and each region's good site, it is 38 times: about 1,220 PWh a year, of which 1,157 PWh is onshore and 68 PWh offshore. Floating offshore wind adds about 150 PWh on either set of assumptions.

The resource is widely spread. North of 45°N, wind potential exceeds local demand in regions home to 96% of people on the default assumptions; in the tropics, between 61% and 78%. Worldwide the share is 65% on the conservative assumptions and 78% on the default ones.

The world's wind could supply its electricity at least 19 times over

Technical wind potential and world electricity demand, PWh a year; conservative case in a lighter shade

Source: Ember, Solar + Wind + Battery Atlas; World Bank/ESMAP (2021); Ember Yearly Electricity Data (2026); Ember analysis

Sunlight is more abundant still: the atlas's technical solar potential is 2,647 to 3,848 PWh a year. Wind's case is not size. It is timing and latitude.

Technical potential is what could physically fit, not what will be built. The atlas's eligible land excludes no forest or farmland, and its offshore area excludes no shipping lanes, fishing grounds or sea ice.

The map shows each region's wind potential as a multiple of its own electricity demand. Grey marks the regions where it falls short.

3

In Europe, wind fills solar's winter gap

The atlas's published results are annual, so they cannot show the seasons. Observed output can. Ember's monthly data for national power fleets show solar and wind peaking in opposite halves of the year.

In Germany, solar delivered 12% of its annual output in the four months from November to February, and wind 44% (2023–2025 average). An even spread would put a third in those months. Across nine European countries, from Sweden to Spain, wind delivered 39–44% of its output in those four months and solar 7–19%. Month by month, Germany's solar and wind shares have a correlation of −0.95.

Across Europe, wind delivers most when the sun delivers least

Share of each source's annual output generated in each month, national fleets, 2023–2025 average (%), north to south

Source: Ember Monthly Electricity Data (2026); Ember analysis. Observed national output, not the atlas's model

The pattern is common, not universal. Of the 62 countries with complete monthly data for both sources, 47 show them moving in opposite directions. But the sample leans on Europe (34 of the 62) and says little about the tropics. In India, wind is strongest in the wet season, when solar dips: the complement follows the monsoon, not the winter.

These are national fleets, and capacity added during a year tilts its shares towards later months. They point to why wind keeps costs down in the north.

The atlas's own wind sites tell the same story. Across Europe, the demand-weighted median region's onshore wind farm delivered 42% of its 2024 output in November–February, and regions that use 92% of the electricity in the map's view get more than a third.

The map shows the share of each region's simulated onshore wind output in November–February 2024, the only year with daily data in the atlas. Green marks more than a third; grey, less.

4

The north needs wind to keep costs down

North of 50°N, the standard solar and battery builds – up to 20 GW of solar and 36 GWh of batteries per GW of load – reach 90% uptime for 84% of people. The share falls to 52% north of 55°N and to 0% north of 65°N. Where the standard builds fall short, solar and batteries alone get there by oversizing solar and batteries far beyond the atlas's sliders. In 574 of its 1,043 regions, the cheapest solar and battery build that gets there lies beyond the sliders; the median such build has 60 MW of solar and 145 MWh of batteries per MW of load. Across the band, solar and batteries alone cost a median $180/MWh – about three-quarters more than the cost with wind ($103). The builds beyond the sliders also lean on a weather record that repeats.

Add wind and 90% uptime is within reach for everyone there, at a median $103/MWh. That is above the world median with wind, weighted the same way by people ($87).

At 80% uptime north of 45°N, wind cuts the median cost by 29%, from $126 to $90/MWh. The chart names a city from the atlas in each band, from Tromsø to Buenos Aires.

Wind cuts the cost of high uptime by more than a quarter north of 45°N

Median cost of serving a 1 GW load 80% of the time, by latitude, with an example city in each band, weighted by people ($/MWh), 2026 local costs

Source: Ember, Solar + Wind + Battery Atlas (2026 local costs); GPW v4; Ember analysis. Southernmost band (1.3 million people) not shown

In the United Kingdom, Germany, Poland, the Netherlands and Sweden, wind cuts the cost of 80% uptime by 29–47% against solar and batteries alone. With wind, the median cost of 90% uptime is $96/MWh in the United Kingdom, $100 in Germany and $86 in Spain, against $94 in the United States. Onshore wind is enough: without offshore, the median cost with wind is unchanged in every latitude band.

Two cautions. On the atlas's global costs – the same capital costs and cost of capital everywhere – 90% uptime north of 50°N would cost a median $75/MWh with wind: much of the north's cost is finance and local prices, not weather. And ten weather years, 2015–2024, cannot test the longest winter wind droughts.

The map zooms to Europe: lighter shades mark larger savings from wind.

5

Round-the-clock clean power keeps getting cheaper

Wind turbines are manufactured, and their costs follow a learning curve. IRENA finds that onshore wind's installed cost falls 25% for every doubling of global capacity: 33% in Europe, 31% in the United States and 13% in China, which started from a low base. Solar's rate is higher still, at 34%.

The global average cost of onshore wind power fell 71% between 2010 and 2025, from $114 to $33/MWh; offshore wind fell 63%. IRENA expects onshore installed costs to fall a further 20% by 2035, though more slowly than before.

The atlas's local cost paths assume steeper falls still. Weighted by demand, the median onshore capital cost drops 27% by 2035, from $1,616/kW in 2026 to $1,173 in 2035 and $770 in 2050; solar's from $779/kW to $370, and batteries' from $128/kWh to $65. Each country keeps today's cost of capital.

As solar, batteries and wind get cheaper, so does power at high uptime. Weighted by demand, the cheapest build for 99% uptime falls from $133/MWh in 2026 to $67 in 2050, and for 90% uptime from $92 to $46: the cost of 90% uptime with wind halves by 2050. North of 55°, round-the-clock power falls from $202 to $106/MWh.

Round-the-clock clean power gets about half as expensive by 2050 at every latitude

Median cost of the cheapest solar, wind and battery build that serves a 1 GW load at each uptime, by latitude band, weighted by electricity demand ($/MWh), local costs, 2026–2050

Source: Ember, Solar + Wind + Battery Atlas (local capital-cost paths to 2050, cost of capital held at today's); Ember analysis

North of 30°, adding wind keeps high uptime cheaper all the way to 2050

Median cost of serving a 1 GW load 90% of the time, by latitude band, weighted by electricity demand ($/MWh), local costs, 2026–2050

Source: Ember, Solar + Wind + Battery Atlas (local costs); Ember analysis

Wind keeps its place, though not everywhere. North of 30°, solar, batteries and wind together cost less than solar and batteries alone in every year to 2050; between 15° and 30°, the median gain shrinks to nothing by 2050 as solar and batteries get cheaper. Worldwide and weighted by demand, wind cuts the median cost by 9–18% depending on the year, where both can reach 90% uptime. Wind stays in the cheapest build for most demand to 2050: as the cheaper route for 61–71% of demand, against solar and batteries of any size. North of 55°, with wind, 90% uptime costs $58/MWh in 2050, against $145 without.

That is not every grid. The low-wind tropics stay solar and battery systems in every year. And wind's advantage narrows to 2035, because the atlas's local solar and battery costs fall faster than wind's until then. The paths are the atlas's assumptions, not forecasts.

Wind power itself gets cheaper everywhere. At each region's simulated site, on local costs, the demand-weighted median onshore wind farm produces power at $65/MWh in 2026 and $39 in 2050.

The map shows the cost of power from an onshore wind farm in each region, on local costs: move the slider from 2026 to 2050, or press Play.

Conclusion

Solar and batteries cover the daily cycle. Wind adds what they lack at high latitudes. Together they make round-the-clock clean power cheaper at 90% uptime for places that use 71% of the world's electricity. In the north, wind does the job at less than three-fifths of the cost of solar and batteries alone.

The low-wind tropics are the exception: there, solar and batteries do the job without help.

Elsewhere, planners who want clean power at high uptime should build wind beside solar and batteries, not instead of them. Wind is still getting cheaper.

Explore the interactive atlas

Notes and method

  1. Demand weights use the atlas's gridded electricity demand (Chen et al. 2022), which reflects demand around 2019 (20,676 TWh a year). World demand in 2025 (31,820 TWh, Ember) is used only for scale. People are weighted by GPW v4 (2020). ↩
  2. All costs are the atlas's local costs (its Local setting for capital costs and for the cost of capital), pinned to 2026, with solar and wind lasting 30 years and batteries 20. Weighted by demand, the median region pays $779/kW for solar, $128/kWh for batteries, $1,616/kW for onshore wind and $2,964/kW for offshore wind, with a 7.5% cost of capital. A region without a local figure takes the atlas's global defaults: solar $720/kW, batteries $120/kWh, onshore wind $1,085/kW and offshore wind $2,931/kW, with a 7% cost of capital (offshore wind 0.92 points higher). Operating costs do not escalate. Output degrades by 0.5% a year for solar and 0.2% for wind. On global costs and a 25-year wind life, IRENA's convention, wind lowers the cost for places that use 79% of the world's electricity and for 49% of its people.
  3. Uptime is the share of the load's energy a build delivers, averaged over ten weather years (2015–2024); the atlas's tooltips also show the worst year. Solar output comes from a tilted-panel model, fixed tilt facing the equator, calibrated to the Global Solar Atlas's annual yield. The calibration factor is capped at 1.10. Above about 60°N, outside the Global Solar Atlas, a region takes the median factor of its nearest calibrated neighbours. Snow losses are not modelled. Each region has one simulated wind site and no grid or spur-line cost to that site. The site's level is the mean capacity factor of the windiest fifth of the region's eligible land or sea, at least 500 km², after excluding protected areas (WDPA) and settlements (GHSL). It is scaled to the capacity factors of new wind farms (IRENA): ×0.879 onshore in Europe and ×0.777 offshore, a factor that rests on four countries. Onshore, the simulated level runs a median of about a fifth above the region's median land, calibrated the same way. Wind potential counts only land that reaches 15% before this scaling. Land below sea level counts as land where the land and water datasets agree (polders, the Caspian Depression). Onshore capacity factors in Latin America are probably understated, a known limitation.
  4. Offshore wind is costed at the depth and distance of the windiest fifth of a region's eligible sea. Its costs include the export grid, so they sit above tender prices where the grid operator pays for it (the Netherlands, Germany, Denmark, Belgium and France). Auction prices in the United Kingdom and Ireland sit above the atlas partly because they carry network charges. The global wind cost is a China-weighted world average, below the cost of a typical European or North American project; the article uses it only where a region has no local figure.
  5. Wind potential is given as a range. The upper bound is the atlas's default: 5 MW per km² on eligible land that reaches 15% before calibration, at each region's own simulated site capacity factor; offshore, the World Bank/ESMAP capacity (3–4 MW per km² by wind speed). The conservative case changes three things, cell by cell on the atlas's 2 km grid with the same exclusions: capacity factors scaled to new wind farms (×0.879 onshore in Europe, ×0.777 offshore) before any cut-off, 3 MW per km² onshore (the US whole-project average, Denholm et al. 2009) and a 20% cut-off on the scaled capacity factor. Offshore density stays at ESMAP's, already at the low end of published planning figures. Solar runs from the Global Solar Atlas's policy-constrained land to its technical land. Published estimates sit within or around these ranges. Onshore wind: about 560 PWh a year (Eurek et al. 2017, NREL) and 690 PWh (Lu et al. 2009, PNAS). Offshore: 71 TW of capacity, about 20 TW of it fixed-bottom (World Bank/ESMAP 2021), and about 420 PWh a year (IEA, Offshore Wind Outlook 2019), against the atlas's 64–68 PWh fixed-bottom and about 150 PWh floating. Solar: 613 PWh (Korfiati et al. 2016) to 12,957 PWh (Chinese Academy of Sciences, 2026). Further exclusions for slope, forest and cropland are not applied.
  6. Local costs change the article's numbers. Until this version, they were the atlas's global defaults: the same capital costs everywhere and a 7% cost of capital. On those, wind lowers the cost of 90% uptime for places that use 81% of the world's electricity and for 52% of its people, and the like-for-like cut is 20%. On local costs, the shares are 71% and 38%: weighted by demand, the median local onshore wind cost, $1,616/kW, is well above the global figure, $1,085/kW, a China-weighted world average. Countries' costs of capital come from Hatton et al. (2025), applied as published, not deflated. Local onshore costs come from IRENA (2026): its 2023–2025 country means, or its regional figures. The Gulf states, Turkmenistan, Kyrgyzstan and Tajikistan, which IRENA does not list, take the mean of its latest values for Egypt, Uzbekistan and Kazakhstan, markets supplied largely by Chinese manufacturers. Local offshore costs are never below 1.5 times onshore, which sets Japan's; Taiwan takes IRENA's Asian average.
  7. The atlas numbers and maps on this page come from the interactive atlas's own model with its Local cost settings, run with 2026 costs and the atlas's cost paths to 2050, and are checked against the atlas itself driven in the same mode. Latitude bands use absolute latitude, so each joins both hemispheres, and are weighted by electricity demand; the chart and text on the north are weighted by people.