Ground thermal conductivity and diffusivity are resolved from a national lithology database — actual geological formation data for your project location, not regional defaults. Selecting your site pulls the relevant ground parameters automatically.

Weather inputs use multi-year bin-hour datasets from the nearest available station. Not monthly averages, not degree-day shortcuts — the actual frequency distribution of temperatures your equipment will operate against over a year. This is the input that makes your energy model mean something.

Define each conditioned space as an independent zone and assign equipment locally. As you build out the project, the platform automatically aggregates the building's total thermal profile, feeding the data directly into your loop sizing engine.

Domestic hot water (DHW) is a full engineering element, not an afterthought. Model your DHW load independently with its own equipment assignment. Desuperheater contribution is factored at the system level, giving you an accurate view of total geothermal load and realistic annual cost projections.

Select from Water-to-Air and Water-to-Water heat pumps from a curated equipment catalog. Performance surfaces include rated vs. adjusted COP and EER, accounting for specific entering water temperatures (EWT) and design air/water flows. The model reflects what equipment will deliver in-situ, not just peak-condition specs.

Blower selection includes airflow band modeling for static pressure matching. The equipment performance versioning ensures the engineering record remains consistent even as catalogs evolve.

Persist multiple loop designs per project for comparison. Designate one as the active sizing foundation while keeping alternatives as reference designs in the project record. Sizing calculations track against the active configuration, with all inputs persisted in the current snapshot.

FORB eliminates the manual 'calculate' step. Any change to project inputs invalidates the current outputs and triggers a fresh pipelined run: energy modeling using temperature bins, followed by loop sizing and cost forecasting. This ensures the design state is always synchronized with the data.

Advisory notices from CSA/ANSI/IGSHPA C448:25 surface in the relevant context — at the zone level where they apply to load inputs, or the loop design level where they apply to field configuration. These provide objective guardrails for your engineering judgment.

Cost forecasting integrates utility rate schedules from the OpenEI Utility Rate Database where available and configured. Select the applicable rate structure for your project location and the model accounts for time-of-use tiers and seasonal variations.

Dual-fuel comparison modeling allows you to run geothermal against incumbent heating systems with accurate fuel pricing. The output is a verifiable cost projection grounded in the actual rate environment your customer operates in.

Generate project reports capturing the full engineering record: site inputs, load calculations, equipment selections, loop design parameters, energy analysis, and economic projections. Formatted for contractor deliverables, permitting packages, and customer review — without manual compilation.