The shift didn’t begin with politics. It began with price — and price does not negotiate. Wind and solar costs collapsed. Deployment surged. Storage scaled. Capital obeyed physics. By 2025, more than 83% of new global power investment flows to renewables + storage and ~92% of all new capacity additions are clean. Fossil is no longer leading growth — it is a dead man walking. Cost curves are gravity. Money walks. Bullshit talks.
And here is the magnitude: by 2030, variable renewables firmed by storage reach ~56% of total global electricity output in this model. By 2035, that figure climbs to ~83%. That is not incremental change — it is structural system dominance.
“VRE firmed by storage” = wind + solar backed by dispatchable flexibility (batteries, demand response, long‑duration storage), measured against total annual electricity demand as delivered system contribution — not raw intermittent output.

“This is the central structural projection of the Balance of Power thesis.”
This essay builds directly on the economic logic laid out in Bettrification: Why Renewable Energy Systems Lead to Lower Prices). In that piece, the argument was simple: renewable systems compress cost structurally because they remove fuel, scale through manufacturing, and compound through learning curves. Here, we extend that thesis into capital allocation, system architecture, and grid transformation. This is what happens when falling marginal costs collide with global demand growth. This is the operational mechanism of Bettrification itself — the phase-change where economics, electrification and capital flows reinforce one another. For the broader framework, see https://bettrification.com/ — where the declining cost curves of energy become the foundation of a wider economic reset.
The Phase Change Is No Longer Theoretical
This is no longer a forecast.
It is a structural reset underway.
The build-out now follows mathematics, not ideology.
The cheapest technologies scale.
The scalable technologies dominate.
This is the Balance of Power moment — where cost curves overwhelm legacy systems.
Methodological note: All figures are derived from IEA, Irena, BloombergNEF, Ember and related public datasets. 2025 values reflect reported data where available and modelled extensions based on current deployment and cost trajectories.
1️⃣ Capital Made Its Decision
In 2017, just 57% of new global power investment went into renewables and storage.
By 2025, that figure exceeds 83%.
Capital is no longer hedging. It’s committing.


This is not marginal.
It is system‑scale capital rotation.
And capital does not move without consequence — it builds what it funds.
2️⃣ Clean Energy Now Defines Capacity Growth
By 2025, clean energy accounts for ~92% of all new global capacity additions.
Fossil capacity is no longer leading growth — it’s residual.


Clean energy is not supplementing the system.
It is defining it.
3️⃣ Solar: The Gravity of Cost Curves
Solar costs have collapsed while cumulative deployment has exploded.

The 2022 price bump was temporary. The long-term trajectory remains unmistakable.
But solar isn’t winning simply because it’s cleaner.
It’s winning because it is modular, scalable and manufacturable.
Solar panels are factories, not fuel contracts.
They benefit from learning curves, automation, vertical integration and globalised supply chains. Every doubling of cumulative capacity drives cost reductions. Since 2010, utility-scale solar costs have fallen roughly 85–90% while cumulative deployment increased more than tenfold — a textbook learning-curve dynamic. Manufacturing scale lowers unit cost. Installation simplicity lowers deployment friction. Financing becomes easier as performance data compounds.
Solar also compresses risk.
No fuel price volatility.
No geopolitical exposure to imported combustion inputs.
No marginal fuel cost once installed.
In many regions, new solar is now the cheapest form of new electricity — full stop. When the cheapest option also improves with scale, capital does not hesitate.
Cost curves are gravity.
When something becomes structurally cheaper, scale compounds.
4️⃣ Wind: Steady Decline, Steady Expansion
Wind has followed a similar structural path.

But wind wins for different reasons.
Where solar is modular and rapid, wind is scale and resource optimisation.
Larger turbines, taller towers and improved blade aerodynamics have increased capacity factors dramatically. Offshore projects now rival fossil plants in output stability. Digital optimisation and predictive maintenance have improved uptime and reduced operating cost.
Wind delivers high volumes of zero‑fuel generation in regions where solar alone cannot carry seasonal load. In northern latitudes and industrial economies, wind provides structural backbone to renewable grids.
It does not need perfection.
It needs competitiveness.
Volatility does not alter direction.
Deployment follows cost — and performance.
5️⃣ Storage: The Inflection Engine
Storage is the multiplier.
Costs have fallen sharply while grid-scale installations have surged.

This is the enabling layer.
Without storage, renewables scale.
With storage, renewables dominate.

This is the architectural shift.
And the next acceleration is already visible.
As wind and solar penetration rises, curtailment becomes economically irrational. Every megawatt-hour of curtailed generation represents sunk capital earning zero return. Storage converts wasted output into dispatchable revenue.
The economics are straightforward: as renewable build-out lowers marginal generation cost, price volatility increases. Midday solar oversupply drives prices toward zero or negative. Evening peaks spike. Batteries arbitrage that spread. The wider the spread, the stronger the storage case.
Curtailment is not a flaw — it is a signal. When marginal generation cost approaches zero, flexibility becomes the priced commodity. Storage monetises volatility. It signals that generation has become abundant and flexibility is now the scarce asset.
The next surge in storage will not be ideological.
It will be driven by asset optimisation.
By revenue stacking.
By avoided curtailment.
Wind and solar built the foundation.
Storage scales to protect and monetise it.
6️⃣ The China Proof of Scale
Electrification at scale is already happening.
China consumed 10,370 TWh in 2025 — the first nation to pass 10,000 TWh.
Power demand is up 7.7x since 2000, while CO₂ emissions intensity keeps falling.
Record solar, wind & storage.
That’s electrification at scale — not “degrowth.” Growth + decarbonisation is the blueprint.

But scale at this magnitude does not happen organically.
It reflects industrial policy, supply-chain dominance, vertically integrated manufacturing and relentless deployment discipline.
Coal has not disappeared overnight. Grid constraints still exist. Curtailment pressures emerge at times. Yet the directional vector is unmistakable: renewables are growing faster than fossil additions, storage is scaling into the system core, and electrification continues to expand economic output.
Yes, China approved and commissioned significant coal capacity in 2024–2025. Headlines focus on the gigawatts. What they rarely mention is utilisation. Many of these plants are designed to operate as flexible peakers — low load-factor units providing grid insurance during periods of volatility, not baseload growth engines.

Between proposals and generation lies the critical distinction: pipeline capacity does not equal dispatched electricity. Announcements signal precaution during system stress; utilisation reveals structural role. The transition story lives not in gigawatts proposed — but in terawatt‑hours actually produced and, more importantly, in marginal growth share.

Proposal spikes reflect transition stress, not system reversal. Capacity announcements are not the same as generation share, and generation share — not legacy nameplate — determines structural dominance.
Absolute coal output matters less than marginal generation growth — and marginal growth is overwhelmingly renewable.
Coal additions today are increasingly about stability during transition, not long‑term dominance.
At the same time, solar, wind and storage additions are arriving at multiples of coal in annual capacity growth. As variable renewable energy (VRE), firmed by battery storage and expanding transmission, reaches sufficient penetration, coal’s role shifts further down the stack — from primary generator to backup capacity.
Low utilisation + high capital cost = short economic life.
The marginal growth in China’s power system is renewable. The insurance layer is fossil. The direction of travel is determined by capital allocation and generation growth, not legacy capacity totals.
Scale first. Flexibility next. Displacement follows.
That’s how phase change systems evolve.
Yet the directional vector is unmistakable: renewables are growing faster than fossil additions, storage is scaling into the system core, and electrification continues to expand economic output.
Electrification raises demand. It cuts carbon intensity.
That’s the phase change.
7️⃣ Friction Is Real — But Direction Is Structural
No transition of this scale is frictionless.
Transmission build‑out is politically slow and capital intensive. In the United States alone, interconnection queues now exceed 2,000 GW of proposed generation and storage capacity — more than the entire existing fleet — with projects often waiting 3–7 years for permitting and grid approval. Europe faces similar multi‑year approval timelines, while emerging markets confront financing and land‑use bottlenecks. Meanwhile, China continues building transmission and ultra‑high‑voltage corridors at scale, highlighting how transition velocity varies significantly by region.
Critical minerals markets can tighten. Multi‑day firming remains a frontier challenge beyond short‑duration lithium systems. Post‑2030, long‑duration storage — including flow batteries, thermal storage and advanced pumped hydro (with varying levels of commercial maturity), alongside earlier‑stage concepts such as gravity systems — becomes the leverage layer that converts high renewable penetration into true system resilience.
Grid integration, permitting delays, supply bottlenecks and geopolitical tensions are not trivial footnotes — they are operational realities.
But friction does not negate direction.
It simply shapes velocity.
Cost curves compress.
Scale expands.
Storage deepens.
Capital rotates.
Incumbents lean on inertia.
Disruptors compound on mathematics.
8️⃣ What This Means Now
Structural shifts create second‑order effects.
For investors: The bottlenecks become the opportunity set — transmission equipment, transformers, HVDC, inverters, storage duration, critical minerals and grid digitalisation. The value migrates from fuel extraction to system optimisation.
For policymakers: Subsidy is no longer the constraint. Permitting speed, transmission build‑out and interconnection reform are now the throttle. Infrastructure velocity determines transition velocity.
For incumbents: Fighting the transition preserves inertia but erodes relevance. Pivoting toward electrification, flexibility, storage and grid services is no longer optional — it is survival strategy.
The capital rotation is not abstract.
It is redistributive.
9️⃣ Looking Toward 2035 — The Compounding Decade
The next decade is not about proving renewables work.
It is about scale compounding beyond precedent.




That is the inflection where renewables stop supplementing the grid and begin structuring it.
Solar scales through manufacturing velocity. Wind scales through higher capacity factors and offshore expansion. Storage scales because curtailment makes it inevitable.
As renewable penetration rises, three forces intensify:
- Price volatility widens — zero‑marginal‑cost supply meets inflexible legacy assets.
- Curtailment grows — abundance without flexibility creates stranded output.
- Flexibility premiums expand — batteries, demand response and long‑duration storage capture value.
This is not linear growth. It is a compounding system transition.
By 2030, wind + solar firmed by storage generate ~56% of total global electricity — crossing from competitive to dominant. By 2035, that rises toward ~83%, pushing fossil into structural marginality rather than system backbone.
By the early 2030s, fossil does not vanish — it becomes marginal. The grid does not collapse. It rebalances. Wind + solar become structural. Storage becomes foundational.
The question shifts from if renewables dominate… to how fast the grid adapts.
The Assault of the Cost Curves
This isn’t sentiment. It’s mathematics.
Capital rotated. Costs collapsed. Deployment accelerated. Storage scaled. Electrification rose.
Legacy defends inertia. Cost curves compound.
By 2025, the balance of power isn’t debated — it’s priced, financed and under construction.
The assault isn’t coming. It compounds.
— EV Curve Futurist
Explore the Data
For primary source references (Ember, IEA, IRENA, GWEC, BloombergNEF and related datasets), visit the EV Curve Futurist Resources Hub: https://evcurvefuturist.com/resources/
For the full structural model, forward projections and underlying Bettrification framework, see the Bettrification Engine Data Hub: https://evcurvefuturist.com/bettrification-engine-data-hub/
These pages provide the raw data context and modelling architecture underpinning the Balance of Power thesis.
Data Sources & Chart Notes
Chart 1 – Renewable + Storage Investment Share (2017–2025)
Derived from IEA World Energy Investment (WEI) and BloombergNEF power investment datasets. 2025 reflects reported + modelled extensions based on current capital allocation trends.
Table 1 – Global Power Generation + Storage Investment (2016–2025)
IEA WEI, Ember and BloombergNEF. Excludes grids and fuel supply unless otherwise noted.
Chart 2 – Global Capacity Additions: Fossil vs Clean (2017–2025)
IRENA Renewable Capacity Statistics, Ember Global Electricity Review, GWEC wind additions; fossil net additions calculated from gross builds minus retirements.
Table 2 – Global Energy New Capacity (2016–2025)
Compiled from IRENA, Ember, GWEC and IEA data. Fossil net = gross builds – retirements.
Chart 3 – Solar LCOE vs Cumulative Generation (2016–2025)
Utility-scale LCOE from IRENA and BloombergNEF; cumulative generation from Ember and IEA electricity datasets.
Chart 4 – Wind LCOE vs Cumulative Generation (2016–2025)
Onshore + offshore blended LCOE from IRENA/BNEF; generation from Ember and IEA.
Chart 5 – BESS Costs vs Annual Additions (2016–2025)
Battery system cost trends from BloombergNEF and IEA; annual grid-scale additions from IEA Energy Storage Tracking and Ember.
Table 3 – Wind + Solar Additions & Storage Balance (2016–2025)
EV Curve Futurist structural model calibrated to IRENA, Ember, GWEC, IEA and BloombergNEF data.
Chart 6 – China Electricity Consumption (2000–2025)
China National Bureau of Statistics, National Energy Administration; 2025 based on latest reported totals.
Chart 6b – China Proposed Coal Capacity (2015–2025)
CREA and Global Energy Monitor (via Carbon Brief). Proposal data reflects announced project pipeline, not equivalent commissioned generation or realised utilisation rates.
Chart 7 – Structural S-Curve (2016–2035)
Modelled trajectory based on historic generation data (Ember/IEA) with forward extensions aligned to current deployment growth rates.
Hero Chart – Total Installed Solar, Wind & Storage (2016–2035)
EV Curve Futurist structural model using historic data (Ember, IEA, IRENA, GWEC, BloombergNEF) with forward compounding extensions aligned to 2020–2025 realised deployment rates. This chart serves as the primary structural visual of the thesis, illustrating cumulative solar, wind and storage scale alongside projected system dominance thresholds (~56% by 2030; ~83% by 2035).
Chart 8 + Table 4 – Wind + Solar Annual Additions & Storage Expansion (2025–2035)
Forward deployment case detailing annual build rates and storage growth trajectory underpinning the cumulative structural shift shown in the Hero Chart.
Chart 9 – Structural Storage Depth vs Fossil Share (2016–2035)
Storage depth = Total BESS (GWh) / Average system load. Fossil share from Ember/IEA historical data with modelled decline under current build trajectories.
All forward values represent analytical projections, not official forecasts. Methodology available upon request.