Model version
- vModel v0.7Single-file institutional prototype, updated 05/2026.
- !LimitationsNot legal, engineering, investment, tax, utility-binding, or procurement advice.
Working exhibit / real assets to AI power
The AI buildout is not only chips and software. It is a conversion chain: site control becomes grid access, fuel becomes dispatchable electricity, electricity becomes protected facility power, and protected power becomes GPU compute.
Executive summary / scan in 15 seconds
The model screens whether a site can become bankable AI capacity by tying together grid certainty, fuel and generation, long-lead procurement, cooling, offtake economics, financing, geopolitical risk, comparable transactions, and the exact assumptions still missing.
Interactive model / raw inputs to usable compute
This is a rough strategic simulator, not an engineering model. It shows how fuel, land, grid access, backup fuel, and facility design combine into usable AI data center power.
Pipeline gas or LNG available for dispatchable generation.
Fuel stored or contracted for emergency generation.
Nearby land that can support solar generation or a solar PPA proxy.
The hard cap from utility allocation, substation capacity, and feeder path.
Average power per liquid-cooled AI rack, including facility design assumptions.
Select materials to see how they change reliability, power conversion, cooling, compute readiness, and construction feasibility.
Base case feasibility / project finance view
This layer turns the story into a decision model: interconnection, cooling, CapEx, OpEx, compute economics, material lead times, uptime, sustainability, location score, and procurement schedule. Every result exposes the assumptions that drive it.
Taiwan dense urban inference cluster: references constrained-island grid logic, land scarcity, water stress, and proximity to semiconductor supply chains. This is a strategic-load underwriting case, not a cheap-power case.
Queue time, deliverable MW, substation distance, voltage, transformer availability, upgrade cost, redundancy.
Air, rear-door heat exchanger, direct-to-chip liquid, or immersion with rack density, climate, water, and pump power.
Land, shell, electrical, mechanical, generators, transformers, switchgear, cooling, fiber, labor, permitting.
Power cost, demand charges, water, maintenance, diesel testing, staff, lease, replacement cycles.
Convert MW into GPU count, rack count, tokens per day, training capacity, inference capacity, revenue, margin.
Power availability, fiber, land cost, water, permitting, disaster risk, incentives, carbon, PUE, WUE.
Risk-adjusted view / avoided mistakes layer
This layer reframes the model around what infrastructure funds, utilities, hyperscalers, energy traders, EPCs, and procurement teams actually need: interconnection certainty, supply-chain bottlenecks, land intelligence, financing risk, regulatory exposure, and why a site fails.
Why this site failsLoading failure diagnosis.
Models the gap between advertised MW and likely energized MW using queue congestion, utility risk, curtailment, transformer status, and evidence quality.
Tracks the AI-era chokepoints: transformers, switchgear, cooling, ferrites, electrical steel, HBM, substrates, SiC/GaN, busbars, and generators.
Future live map layers: substations, transmission lines, gas pipelines, fiber, water stress, flood, seismic, permitting, LNG proximity, climate cooling feasibility.
Adds IRR, DSCR, debt/equity, merchant power exposure, schedule confidence, bankability confidence, and fragile-variable detection.
Comparable archetypes become a moat over time because they make every new site legible against known infrastructure patterns.
| Archetype | Core bet | Main failure mode |
|---|---|---|
| Flare gas AI | Cheap stranded energy | Permits, gas continuity, offtake quality |
| Taiwan inference | Dense demand near strategic supply chain | Grid, water, geopolitics, land scarcity |
| Nuclear adjacent | Firm low-carbon baseload | Regulatory timing and transmission rights |
| Texas gas | Behind-the-meter speed | Merchant exposure and interconnection volatility |
| Northern Virginia | Premium demand and fiber density | Dominion queue, substation saturation, local opposition |
| Johor / Malaysia | Singapore spillover and regional growth | Grid expansion, water, policy durability |
| Nordic hydro | Low-carbon power and cooling climate | Fiber distance, latency, local permitting |
| UAE / KSA sovereign | State-backed demand and energy depth | Water, cooling, export controls, sovereign concentration |
Institutional underwriting expansion / maximum density
These panels convert the feedback list into a deal-workbench inventory. Items are tagged as modeled, user input, or needed live evidence so the page stays credible while still showing the full ambition.
Diligence tracker / what must be true
These are the artifacts a credit committee, infrastructure PM, or strategic operator needs before the model becomes financeable.
| Counterparty | Exposure | Evidence | Risk |
|---|---|---|---|
| Utility / ISO | 0MW / 0mo | Service letter, queue study, energization history | Substation saturation, upgrade allocation |
| EPC | $0M / 0mo float | LOI, GMP, LDs, backlog | Schedule slip, change orders |
| OEM | 0mo lead | Transformer, turbine, cooling, UPS, switchgear quotes | Single vendor, PO-to-delivery slippage |
| Lessee | $0M/yr | Credit rating, parent guarantee, LC | Rollover, GPU price compression |
| Fuel supplier | $0M/yr | Firm transport, storage, hub basis hedge | Interruptible supply, basis blowout |
| Insurer / lender | $0M debt | Term sheet, exclusions, reserve requirements | Deductible hardening, covenant cushion |
Live DSCR grid: GPU $/hr x utilization. Each cell recomputes DSCR from the current CapEx, OpEx, and debt stack.
Live obsolescence curve. Current utilization is stressed through likely generation rollover and residual pricing compression.
| Awaiting model. |
| Exit | Buyer | Valuation logic |
|---|---|---|
| Refi | Project lenders / privates | Lower rate after COD and stabilized DSCR |
| Sale | Infra fund | Cap rate / EV-EBITDA on contracted cash flow |
| Strategic | Hyperscaler / neocloud | Control premium for energized scarce MW |
| REIT | DLR / EQIX / IRM-style contribution | Lease coverage, tenancy, remaining term |
| IPO carve-out | Public equity | Growth MW, backlog, contracted revenue |
| Line | What to track | Exposure |
|---|---|---|
| Scope 1 | Diesel testing, behind-meter gas, emergency runtime | Fuel price, emissions permit, local air limits |
| Scope 2 | Location-based and market-based grid energy | Carbon intensity, REC/PPA quality, hourly matching |
| Scope 3 | Transformers, steel, concrete, cooling, GPUs, HBM, optics | Embodied carbon, CBAM, supplier disclosure |
| Offsets | REC, I-REC, VPPA, 24/7 CFE, additionality | Residual exposure and buyer claims risk |
| Peril | Coverage | Watch item |
|---|---|---|
| Construction | Builder's risk, delay in startup | Deductible, exclusions, weather named peril |
| Operations | Property, GL, equipment breakdown | Transformer replacement time, spare strategy |
| Revenue | Business interruption, contingent BI | Waiting period and utility outage language |
| Cyber | IT/OT incident response, ransomware, data impact | IEC 62443 controls, insurer carve-outs |
Market comps / signal library
Named comparables are included as diligence targets, not asserted live market data. Exact terms should be sourced from filings, press releases, earnings calls, lender decks, and utility records.
| Reference | Read-through | Evidence needed |
|---|---|---|
| Stargate / OpenAI / Oracle / Crusoe | Strategic AI campus and power-led execution | MW, offtake, financing, energization tranches |
| Microsoft-Brookfield 10.5GW | 24/7 clean-power procurement scale | PPA tenor, regions, settlement shape |
| Meta-Entergy Louisiana | Utility-backed load growth and generation planning | Tariff, generation additions, transmission upgrades |
| Amazon-Talen Susquehanna | Nuclear-adjacent compute controversy | FERC/utility treatment, power rights, timing |
| Google-Kairos / AWS-X-energy | SMR/AMR strategic supply | License stage, FOAK risk, COD range |
| Constellation-Microsoft TMI | Nuclear restart PPA | Restart capex, PPA terms, regulatory path |
| CoreWeave Plano / Lambda Texas / Crusoe Permian | Neocloud and behind-meter patterns | Lease tenor, GPU economics, energy basis |
| Vantage AZ / QTS Manassas / DLR / EQIX | Hyperscale and REIT comparables | $/MW, cap rate, tenant, lease coverage |
| IREN / Applied Digital / TeraWulf / Cipher / Bitdeer | Bitcoin-to-AI pivot comps | Power cost, conversion capex, customer credit |
Methodology appendix / formulas and audit trail
This section is the memo appendix: formula inventory, acronym glossary, audit trail requirements, print/export framing, and v2 feed roadmap.
| LGIA | Large Generator Interconnection Agreement. | LIA | Load Interconnection Agreement. |
| LCOE | Levelized cost of energy. | CCGT | Combined-cycle gas turbine. |
| 4CP/12CP | Coincident peak transmission allocation methods. | CRR/FTR | Congestion revenue rights / financial transmission rights. |
| DSCR | Debt service coverage ratio. | LLCR/PLCR | Loan/project life coverage ratios. |
| CDU | Coolant distribution unit. | EPMS/BMS | Electrical power / building management systems. |
| FOAK | First of a kind. | NIETC | National Interest Electric Transmission Corridor. |
| PUE/WUE | Power and water usage effectiveness. | ITC/PTC | Investment and production tax credits. |
| MACRS | Modified accelerated cost recovery system. | EPC/LSTK | Engineering, procurement, construction / lump-sum turnkey. |
| LD/GMP | Liquidated damages / guaranteed maximum price. | LOI/LC | Letter of intent / letter of credit. |
| PSD/NPDES | Air permit review / water discharge permit. | NEPA | National Environmental Policy Act. |
| EIS/EA/CatEx | Environmental impact statement / assessment / categorical exclusion. | ESA/NHPA | Endangered Species Act / Historic Preservation Act. |
| SEQRA/CEQA | New York / California environmental review laws. | IRA/PILOT | Inflation Reduction Act / payment in lieu of taxes. |
| FERC | Federal Energy Regulatory Commission. | RTO/ISO | Regional transmission organization / independent system operator. |
| ERCOT/MISO | Texas grid operator / Midcontinent ISO. | PJM/CAISO | Mid-Atlantic grid / California ISO. |
| SPP/NYISO | Southwest Power Pool / New York ISO. | ISO-NE | New England ISO. |
| IEEE 1547 | Distributed resource interconnection standard. | IEC 61850 | Substation automation standard. |
| IEC 62443 | Industrial control security standard. | NERC CIP | Bulk electric cyber reliability standards. |
| ASHRAE TC 9.9 | Data center thermal guidance. | ISO 30134-2 | PUE standard reference. |
| TIA-942 | Data center infrastructure standard. | ISO 50001 | Energy management standard. |
| GIS/AIS | Gas-insulated / air-insulated substation. | STATCOM/SVC | Reactive-power and voltage support equipment. |
| HBM3e/CoWoS | High-bandwidth memory / TSMC packaging. | SiC/GaN | Silicon carbide / gallium nitride power semiconductors. |
| LME/GOES | London Metal Exchange / grain-oriented electrical steel. | UPS | Uninterruptible power supply. |
| CRAH/CRAC | Computer room air handler / conditioner. | MV/LV | Medium voltage / low voltage. |
| GSU | Generator step-up transformer. | ROFR/ROFO | Rights of first refusal / first offer. |
| MVC/PPA/VPPA | Minimum volume commitment / power purchase agreement / virtual PPA. | CFE | Carbon-free energy. |
| BIS/CFIUS | Export control agency / foreign investment review. | FIRB/FOCI | Australia review board / foreign ownership control influence. |
| OFAC/GDPR | Sanctions office / EU privacy regulation. | PIPL/DSL/PDPA | China privacy/data laws / Taiwan privacy law. |
| KEXIM/JBIC | Korea and Japan export-credit agencies. | EXIM/EKF | US and Denmark export-credit agencies. |
| IFC/ADB | International Finance Corporation / Asian Development Bank. | EBRD/DFC | European reconstruction bank / US development finance. |
| REC/I-REC | Renewable energy certificates / international RECs. | CBAM/RGGI | EU carbon border adjustment / northeast US carbon market. |
| SBTi/LEED | Science Based Targets initiative / green building certification. | BREEAM/RCP | Building sustainability rating / climate pathway. |
| COD/ATO | Commercial operation date / authority to operate. | BTS/GPUaaS | Build-to-suit / GPU as a service. |
| NOC/DCIM | Network operations center / data center infrastructure management. | P10/P50/P90 | Downside/base/upside probability cases. |
| HHI/SPOF | Concentration index / single point of failure. | IRU | Indefeasible right of use for fiber. |
Plain English: Model training and inference buyers need GPU clusters, and GPU clusters need huge blocks of reliable electricity.
Power becomes the first site-selection filter, not a utility detail handled later.
Can the site support the buyer's MW, timeline, cooling load, and reliability requirement?
compute demand
Plain English: The parcel matters because it can host infrastructure, not just because it has acreage.
A plain industrial site becomes a scarce AI infrastructure asset if the power path is real.
Who owns it, what is entitled, and how many MW can be delivered without heroic upgrades?
site control
Plain English: The utility or grid operator studies whether the site can actually receive the requested load.
The story moves from "we have land" to "we have a credible power delivery path."
What power is available now, what is expandable, and what date can be contracted?
grid access
Plain English: Natural gas can feed power plants or dedicated generation that supports the data center load.
Fuel is converted into electricity that can run continuously or fill gaps when renewables are intermittent.
Is the gas supply firm, permitted, priced, and acceptable under the buyer's carbon requirements?
gas to electrons
Plain English: Oil is rarely the main power source, but diesel backup and fuel logistics protect uptime.
The site can ride through grid outages long enough to avoid compute downtime or data loss.
How many hours of backup exist, and can fuel be delivered during a regional disruption?
backup fuel
Plain English: Transformers, switchgear, UPS systems, PDUs, and busbars move power safely into the racks.
Bulk electricity becomes stable, protected facility power that expensive GPUs can trust.
Are long-lead components ordered, redundant, certified, and sized for AI rack density?
power train
Plain English: AI racks turn electricity into heat, so cooling is part of the energy system.
The facility can keep dense racks inside thermal limits instead of throttling or shutting down.
Can the site support water, heat rejection, and high-density liquid cooling at scale?
thermal system
Plain English: The final asset is not the building. It is reliable, contracted compute capacity.
Land, fuel, grid rights, and electrical systems become the operating base for AI revenue.
Can the operator sell dependable GPU hours with the power, cooling, and uptime buyers require?
AI capacity
AI turns real estate into energy infrastructure, then turns energy infrastructure into contracted compute.
Status: strategically valuable but power-constrained. Binding constraint is grid deliverability, water/cooling margin, and geopolitical confidence. Verdict: bankable only with hard utility evidence and supplier-backed schedule.
Status: land and renewable story are strong, but water and interconnection queue risk dominate. Verdict: viable when paired with firming, liquid cooling design, and credible water rights.
Status: speed and energy economics can work. Binding constraints are merchant exposure, emissions compliance, and generator/transformer procurement. Verdict: attractive if offtake quality and grid export rules are solved.
Status: institutionally legible but schedule-heavy. Binding constraint is procurement sequencing across transformers, switchgear, cooling, HBM, substrates, ferrites, and EPC labor. Verdict: financeable only as staged energization.