Future Energy Grid Simulator

Grid mix

Solar capacity 80 MW

Wind capacity 60 MW

Battery storage 100 MWh

Simulation speed

Renewable share

–

Battery SoC

–

Blended LCOE (this instant)

–

How it works

Each simulated hour, solar output follows the sun's elevation, wind output follows a cubic turbine power-curve applied to a slowly drifting wind speed, and demand follows a two-peak "duck curve" shape (morning ramp + evening peak, once solar has hollowed out the midday belly). A battery buffers the mismatch: it charges from renewable surplus and discharges to cover shortfalls, and whatever the battery can't cover is met by a gas peaker plant.

P_solar = C_solar · max(0, sin(π·(t−sunrise)/(sunset−sunrise)))
P_wind  = C_wind · clamp(((v−v_cut-in)/(v_rated−v_cut-in))³, 0, 1)
deficit = demand − P_solar − P_wind
battery discharges min(deficit, rate, SoC·η) ; gas covers the rest
LCOE_blend = Σ(P_i · $/MWh_i) / Σ P_i

Solar capacity — installed MW of PV; output tracks a sinusoidal daylight curve, zero at night.
Wind capacity — installed MW of turbines; power scales with wind speed cubed between cut-in (3 m/s) and rated (12 m/s) speed, per the standard turbine power-curve.
Battery storage — usable MWh of grid storage, dispatched at up to a 0.5C rate (2-hour battery) with 90% round-trip efficiency per direction.
Blended LCOE — the generation-weighted levelized cost of the electricity being delivered right now, using approximate 2024-class reference costs (solar ≈$32/MWh, wind ≈$28/MWh, gas peaker ≈$55/MWh, battery arbitrage ≈$140/MWh).

Real-world relevance: this is the same dispatch problem grid operators solve every day — as solar and wind capacity grow, the "belly" of the duck curve deepens at midday and the evening ramp gets steeper, which is exactly what makes storage capacity (not just renewable capacity) the binding constraint on decarbonizing a grid.

Day 1 · 00:00

Solar Wind Gas Demand

⚠ Couldn't load the 3D engineThree.js failed to load from the CDN. Check your connection and reload.