Where the network binds, and what price is worth bidding
Two tools for decisions that won't wait: the gas transport network month by month, with its flows and its constraints, and a simulator that prices a bid and shows what overshooting or undershooting costs. Public data, and the assumptions left in plain sight so the desk can argue with them.
A contract gets signed against transport capacity that isn't always where it's assumed to be. Argentina's full network month by month, with per-segment flows, the segments under stress and the supply mix behind them — conventional, unconventional, Bolivia, LNG — on a map you move through time.
GCIE snapshot · national transport network · monthlyCode →
The question in an auction is never what the expected marginal cost is, but what being wrong costs in each direction. Merit-order dispatch plus Monte Carlo over hydrology, demand, gas price and renewable resource for Peru's SEIN: what price to bid, and what you lose by overshooting or undershooting. It runs entirely in the browser and the dispatch engine is unit-tested.
COES + NASA POWER · SEIN, Peru · kept currentCode →
Three rules, and specialists who join as the case requires
The tool gets picked after working out which decision is stuck.
Open sources and explicit assumptions: the desk argues with the number instead of guessing it.
An assumption that can't be defended is labeled an assumption; it doesn't get dressed up as a result.
The problem defines the team, not an org chart. What I contribute is the bridge between the commercial decision and the tool; specialists cover the rest — gas and power systems engineering, market modeling, programming, cybersecurity and AI safety. I work with partners, and also with people already on your payroll: whoever runs dispatch every day knows things no model ships with.
What you get
Three ways to start
Diagnostic
One market question against public data. The result is a memo: the number, the uncertainty around it, and the assumptions holding it up.
Project
The model or the dashboard over your market and your portfolio, with whatever team the case calls for. You get back the tool running wherever you want it.
Advisory
Ongoing input on what to watch each morning and which data is worth buying, if any of it is.
Who's behind this
Matías Podeley. Eighteen years in energy — reservoir engineering, then business development, mostly on the side that hires the specialists. I build these tools myself, with public data and AI. Buenos Aires.
Contact
Contact
Tell me which deal you're about to close and we'll see whether a public number improves it.