Campus Auto-Fit

Drop KML from Google Earth → auto-fit DC inside parcel rotated to long axis.

0. Spine mode

Picks setback, CDU pattern, and TES strategy from the persisted v1.1 spine. loading…

Mode

Density band

Jump to location

Search address / operator (e.g. "Equinix LD8 Slough"), or paste lat, lon. Right-click map to copy coords.

Capacity engine demos — one-click: populates Mode + Band + MW + Floors, jumps map, draws parcel, runs auto-fit. No further user action required.

Address / site name

Coordinates (lat, lon)

Zoom

1. Upload parcel

Drop .kml or .kmz here
or click to choose
(Google Earth Pro → Save Place As → KML/KMZ)

Block unit (MW)

Inter-block gap (m)

Restricted zone (optional) — only draw if a dwelling, school, or noise-sensitive receptor is adjacent. Skip if site is unconstrained.

Frontage: Auto (longest boundary) · reset to auto
Campus builds inward from this edge — set it to the road/access side.

2. Site parameters

Target MW

Density MW/ac (0 = off)

Floors

Block aspect L:W 1.67

Per-edge setbacks (m). Front = frontage/entrance edge, back = plant/utility side.

Front (S)

Back (N)

Sides (E/W)

Block layout

Massing template

Solve mode

Assumptions (advanced) — internal allocation & ratios

Defaults load from the selected template. Edits re-fit and flow through sizing, capacity and reporting.

GEA:GIA factor

Rack density kW/m²

Internal allocation (% of GIA)

White space

Electrical

Cooling/mech

Circulation/BOH

Loading/staging

Cores/risers

Admin/welfare

Structural

Effective white-space: — (GEA:GIA × white-space)

Allocation total: —

External & band depths (m)

Ext. plant reservation ×

Frontage band (blank=auto)

Cooling module MW

Heat factor × (MWth/MW)

Cooling wall

Dry-cooler compound

Service spine

Fire road

Plant layout — where chillers + power plant sit Cooling placement — heat-rejection plant Cooling type Power resilience — gen string redundancy

3. Results

Drop a KML to begin.

Export

Schema v1.3 round-trip · ingest in readiness Red Line Editor → site card auto-updates with pass/fail + capacity.

Blender render overlay

Optional. Lays a georeferenced TOP-down Blender render over the map at its exact GPS bounds. You must generate & host the render yourself first: run blender --background --python blender/import_campus.py -- --spec <spec.json> --ortho-render <out.png>, then host the resulting out.png + out.png.bounds.json and paste the .bounds.json URL below. Bounds JSON URL (point at your hosted <render>.png.bounds.json)