290 records
09 · Scenario Lab

Which levers actually move the numbers

Because every environmental quantity in this dataset is derived from a small set of coefficients, you can see exactly how sensitive the totals are to each one. Treat the outputs as parameter arithmetic, not prediction.

Levers

Adjust the parameters

PUE0%
WUE0%
Grid carbon intensity0%
Additional renewable matching0%
Capacity growth on top of pipeline0%
Presets

Framed scenarios

IT capacity
0.0k
MW
+0.0% vs baseline 1.4k
Energy
0.0m
MWh/yr
+0.0% vs baseline 12.2m
Carbon
0.0m
tCO₂e/yr
+0.0% vs baseline 8.6m
Water
0.0m
m³/yr
+0.0% vs baseline 22.1m
Scarcity-weighted water
0.0m
m³/yr
+0.0% vs baseline 16.6m
Waste heat
0.0k
MW th
+0.0% vs baseline 1.4k

Scenario water demand by state

m³ per year under the current parameter settings.

Elasticity

How each lever propagates

PUE

Scales energy, and therefore carbon, water and waste heat, one-for-one. The single most consequential coefficient in the model.

WUE

Scales water and scarcity-weighted water only. Does not touch energy or carbon.

Grid carbon intensity

Scales carbon only. A clean grid removes carbon without reducing energy, water, heat or noise.

Renewable matching

Contractual, not physical: it changes market-based accounting, not the electrons drawn or the local footprint.

Capacity growth

Scales everything simultaneously, including population exposure if new sites follow existing siting patterns.

What no lever fixes

Land use, setback distance and who lives within one kilometre are siting decisions, not efficiency parameters.

This is a coefficient sandbox, not a forecast. It holds siting, load factor, technology mix and facility count fixed except where you change them, applies changes uniformly to every facility in view, and captures no feedbacks, no grid constraints and no policy response. Median record confidence of the underlying records is 2.25 of 5.