Put gas, wind, solar, grid and batteries into one portfolio. Get the maximum supportable load, in reliability metrics your lenders and utilities already use.
Snapshot demo using binomial unit outages (6% forced outage rate, 60 MW units). The full engine runs hourly Monte Carlo with weather-driven renewables.
Scroll through one day. The load stays at 240 MW while the sun sets and the wind drops.
Illustrative dispatch for a single day. Nine Firm simulates thousands of these days, with real outages and real weather.
Each column is one day and each row is one hour of the day. Solar follows the seasons. Wind follows nothing: it stalls for days, then returns. Nine Firm resamples whole weeks of weather so these lulls stay in every simulated year.
Illustrative synthetic weather, generated in your browser. Hover a cell to read it. In the product, you load your own site data.
Most simulated years have no shortfall at all, and a few are bad. One year tells you almost nothing. Nine Firm runs thousands of years from independent random seeds, and keeps going until the estimate settles.
Illustrative. Each thin line is an independent run of the same simulation. The bright line is the one the readout follows.
Every analysis runs on the same simulation, so answers stay consistent when you change an assumption.
Enter your thermal units, renewables, grid connection and battery. See availability, loss-of-load hours, expected unserved energy and loss-of-load events against your target.
The tool searches for the largest IT load the portfolio supports at your reliability target, with uncertainty ranges from independent random seeds.
Model the grid as an asset with its own outage statistics. Compare islanded, partial and full-grid cases side by side.
Dispatch is by energy cost, with true tolling economics: fee, variable O&M and fuel kept separate. Find the cheapest mix that clears the target.
Your results will be questioned by engineers and lenders. The method is documented, the terminology is standard, and the engine is checked against known answers.
Know how much capacity a site can commit to a tenant before you sign, and what it takes to raise it.
Show customers how your generation and storage perform as a combined, firm supply.
Get a defensible, repeatable reliability number with documented method and validation.
Run scenarios in minutes, compare them, and hand clients a clean one-page report.
Nine Firm helps datacenter and power developers determine how much computing load their power infrastructure can reliably support.
Users model grid connections, gas generation, wind, solar, batteries, outages, maintenance, and project timelines. Nine Firm runs probabilistic reliability simulations to calculate supportable IT load, identify the lowest-cost portfolio that meets a target reliability level, and show how capacity changes as new resources enter or retire.
Results are reported using industry-standard reliability metrics including LOLH, EUE, LOLEV, and supply availability, with validation against analytical methods and IEEE reliability benchmarks.
The result is a defensible answer to a critical infrastructure question: How many megawatts of datacenter load can this power portfolio reliably serve?
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