Energy Tradeoffs Lab
Build electricity grid mixes from eight energy sources and measure the tradeoffs between carbon emissions, land use, and cost. Run guided experiments to discover why decarbonization involves real engineering compromises.
Guided Experiment: Decarbonization Challenge
Starting from a coal-heavy grid, predict how average CO₂ emissions will change as you progressively replace coal with low-carbon sources.
Write your hypothesis in the Lab Report panel, then click Next.
Controls
Scenario Results
Current Grid Mix
Data Table
(0 rows)| # | Trial | Grid Scenario | Capacity(GW) | Generation(TWh) | Avg gCO₂/kWh(g/kWh) | Land Use(km²) | Avg LCOE($/MWh) |
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Reference Guide
Capacity Factor and Generation
The capacity factor determines how much energy a plant actually produces relative to its maximum potential. Nuclear achieves 93% while solar averages 25%.
This means 1 GW of nuclear generates about 3 times more electricity per year than 1 GW of solar PV, which is why capacity factor matters for grid planning.
Generation-Weighted Emissions
A grid's average carbon intensity is weighted by how much each source actually generates, not by its installed capacity.
A source with high capacity factor contributes more to the weighted average even if it has a smaller share of installed capacity.
Land Use Intensity
Different energy sources require vastly different land areas per unit of power. Nuclear uses about 1.3 km² per GW while wind needs 70 km² per GW.
Biomass is the most land-intensive at 500 km²/GW because it requires large areas of cropland or forest for fuel. This creates competition with food production and natural habitats.
Levelized Cost of Energy
LCOE captures the full lifetime cost per MWh, including construction, fuel, maintenance, and decommissioning, discounted to present value.
Wind and solar now have the lowest LCOE ($25-50/MWh), but these figures exclude the cost of storage and grid integration needed to handle intermittency.