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 decimal or DMS coordinates. 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

Indicative planning & massing screen Location required

Search for a site or enter coordinates to identify the jurisdiction.

Market override Screening recommendation only. It does not certify planning or building-code compliance; authoritative local controls must be confirmed.

1. Upload parcel

Drop .kml / .kmz here — multiple files or a folder of polygons OK
or click to choose
(Google Earth Pro → right-click → Add Polygon → draw outline → Save Place As KML/KMZ. Several polygons become a site list you can fit in one batch. A pin/placemark just locates the map — you then draw the redline here.)

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 IT/ac (0 = off; project input)

Available grid MVA (blank = unverified)

Manual/DNO-confirmed headroom only

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

Office provision

Custom office footprint (m²)

Assumptions (advanced) — internal allocation & ratios

Defaults load from the selected template. White-space, ratios, derate, redundancy and dimensional bands drive calculations. The remaining allocation and climate-reference fields document the space schedule or evidence basis.

GEA:GIA factor

Rack density kW/m²

Internal allocation (% of GIA · white-space drives IT capacity; other rows are schedule/reporting)

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 design-day basis

Climate basis

Controlling condition

Design dry-bulb (°C)

Design wet-bulb (°C)

Altitude (m)

Module capacity at design day (%)

Mechanical redundancy

Design source

Cooling wall

Dry-cooler compound

Service spine

Fire road

3D plant presentation — presentation/export only; cooling placement below drives the fit Fuel storage — standby diesel architecture Cooling placement — heat-rejection plant Cooling type Power resilience — gen string redundancy

3. Results

Drop a KML to begin.

Client CAPEX basis

Import client or quantity-surveyor rates. TestFit multiplies each declared rate by the current fitted MW, block count, GFA, or one fixed allowance. No benchmark cost is substituted. CAPEX CSV cost_code, description, basis, unit_cost, currency, source, phase

No client CAPEX CSV loaded.

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)