Calculate a land-based scenario
- Illustrative IT-load scenario in MW
- Based on submitted acreage and assumptions
- Clear assumptions behind the arithmetic

PRE-LAUNCH · PUBLIC RELEASE COMING SOON
Get a planning-grade data center feasibility report.
No target MW required
Provide the site location and acreage you have. DCFR can calculate a land-based IT-load scenario from submitted acreage and explicit planning allowances when those inputs are sufficient. The arithmetic does not establish buildable, permitted, or utility-supported capacity; parcel conflicts can withhold the scenario.
U.S. Site Discovery · Coming soon
We are preparing a U.S. pilot connecting properties for sale or lease to real parcel evidence and preliminary screening. Live listing search is not available yet.
Explore the upcoming featureWhat you receive
One coordinated review—from site screening through cost, schedule, and next steps. Findings distinguish source-backed evidence, planning estimates, stated assumptions, and questions still to confirm.
| Module | What you receive |
|---|---|
Module 01Candidate Site Screening |
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Module 02Zoning, Building & Fire Code Feasibility |
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Module 03Power & Utility Feasibility |
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Module 04Cooling, Water, Noise & Environmental Feasibility |
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Module 05Parcel Capacity & Site-Fit Model |
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Module 06Structure, Envelope & Constructability |
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Module 07Cost, Schedule, Risk & Decision Record |
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Site · Energy · Carbon · Economics
Four connected questions guide the development strategy. Seven coordinated modules organize the evidence, assumptions, and next actions.
What could this site support?
Compare candidate locations, capacity assumptions, land budgets, and permitting questions.
Screening + planning estimates
What infrastructure would it need?
Estimate facility demand and annual energy. Identify power, cooling, and utility dependencies.
Demand scenarios + confirmation path
Where could environmental impact fall?
Frame cooling, materials, and heat-reuse questions for project-specific evaluation.
Strategy direction · quantification in development
What drives cost and delivery risk?
Review capital-cost sensitivity when rates are supplied, schedule dependencies, and open risks.
Input-based cost scenarios + risk register
Assess site capacity, energy demand, and delivery constraints to decide what to investigate next.
Explain a site's potential and unresolved constraints with evidence buyers can review.
Compare up to 20 candidate sites and prioritize power, permitting, and land-use confirmations.
Review cost assumptions, infrastructure dependencies, and unresolved risks before the next capital decision.
For the four teams above
Select your team to see its starting question, what DCFR does, and what you receive.
You have candidate land, but usable capacity, site constraints, and utility needs are not yet clear.
DCFR compares the parcels, calculates land-based capacity scenarios, and makes the assumptions and risks visible.
A shortlist and a defined scope for the next design, utility, and civil studies.
Time and cost spent before selecting a site for deeper diligence.
Coordinated early feasibility
DCFR brings candidate screening, planning calculations, public-source observations, and open risks into one workflow. Processing runs in the background; timing varies with the number of sites, submitted inputs, and external source availability.
How it works
Submit up to 20 candidate sites and your project assumptions. DCFR compares area budgets, checks available public-source data, and records what needs further confirmation.
Organize submitted site addresses, acreage, IT demand, and project assumptions.
Calculate building, equipment-yard, and site-reserve budgets from stated planning assumptions.
Record available location, flood-zone, and point-elevation observations, source dates, and data gaps.
Compare candidate-site area budgets using the same stated planning assumptions.
Identify missing evidence and the utility, AHJ, survey, and design confirmations required.
Use preliminary estimates and unresolved risks to guide deeper professional diligence.
Interactive sample
Choose a sample parcel, explore seven modules, and inspect the assumptions behind each finding.
Fictional sample data and prepared assumptions. No live parcel lookup or customer analysis. No account required.
Decision layer · not the full report
Use this dashboard to compare sites and navigate executive findings. Each customer finding is organized with the available analysis, source evidence, calculations, planning exhibits, risks, dependencies, and recommended actions. Missing or unconfirmed evidence remains explicit.
01 · Select a sample site
02 · Compare planning assumptions
Module 02 · Sample Site A · Baseline
Carry the permitted-use, access, equipment-separation, and fire-water questions into the next diligence brief.
The full module records the available supporting evidence, assumptions, constraints, and required verification actions.
| Decision input | Sample value | Basis |
|---|---|---|
| Permitted use | To confirm | Local zoning authority |
| Adopted code + amendments | Not assigned | Building / fire authority |
| Fire access + separation | To verify | Project-specific layout |
This executive finding is the decision summary. The full module provides the traceable record behind it.
Open decision gate: Utility service and flood exposure. A positive area balance does not confirm a buildable layout, utility service, or permission to develop.
Illustrative study framework · advanced analysis in development
The lowest-cost option may not use the least water or emit the least carbon. A useful comparison makes those trade-offs explicit.
A · Baseline
B · Lower-water strategy
C · Heat-reuse strategy
Compare: capacity · upfront cost · annual energy · water · carbon · heat revenue · delivery risk
This is an example of the intended study structure, not a calculated project result or a feature included in a standard purchase. Results require consistent boundaries, local data, and validated assumptions.
Workflow value
Compare the same work over one billing month or one Project Pass. Use your own estimates to see the time and labor value needed to cover the software cost.
Use totals for one billing month. Match the workload to your plan allowances. View limits.
For the same screening and reporting workload.
Include input preparation, result review, and all remaining checks.
Your blended internal labor cost, including overhead.
Include purchased extra runs and any incremental data or software costs for this period.
Estimate from your inputs
Enter both time estimates and your hourly cost. Results will appear here; no savings assumption is preselected.
Hours released = current hours − hours with DCFR.
Net value = hours released × hourly cost − software and added costs.
ROI = net value ÷ software and added costs × 100.
This is a user-defined workflow estimate, not measured customer ROI or a savings guarantee. It excludes avoided acquisition losses, consultant-fee reductions, and construction savings. Professional diligence remains necessary. Prices are USD before applicable taxes; paid access availability follows the pricing page.
Architect-led planning logic
Built by Jeehee Hong, a New York State Registered Architect with 20+ years of experience across architecture, infrastructure, logistics, master planning, and mission-critical development in the US, Asia, and EMEA. DCFR structures that experience into repeatable planning questions, explicit assumptions, and clear next actions.
New York State Registered Architect
AIA Member · NCARB Record Holder · Data Center Certified Associate · LEED Green Associate
Jeehee’s background includes 100+ completed projects across high-rise mixed-use, residential portfolios, institutional and healthcare facilities, adaptive reuse, hospitality, commercial office, global retail, and large-scale integrated infrastructure — including AI-enabled smart logistics city developments totaling 16M SF / approximately $6B.
Across her career, she has contributed to more than $10B in accumulated project portfolio value, working across multidisciplinary teams, program governance, feasibility strategy, cost and schedule constraints, and technical coordination.
Expertise shapes the framework. Standard reports are software-generated. No individual architect or engineer review, seal, or approval is included.
See the methodologySite intelligence
Practical notes on the constraints and development choices behind a data center land decision.
Your next step
Start with candidate locations, approximate acreage, target capacity, and any development strategy you already have in mind. If you are still open, DCFR can evaluate the site without forcing a predetermined form.