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For project developers

The economics of a hydrogen project, with nothing hidden.

Size a green hydrogen plant and its products, from a first screening toward a bankable feasibility study, and see where every number comes from.

Join the waitlist See how it works

This is the app’s own example, solved by its engine. Change the electrolyser and watch what moves: the energy that goes unused, the stage that limits output, the cost of each part of a tonne of ammonia.

Example project · Ammonia export plant

A coastal site with strong wind and sun · feasibility design v2 · a typical year, hour by hour

Electrolyser 150 MW, the example’s design

Binding Renewables-limited on 226 of 365 days

  1. Wind 250 MW 337 $/t 34.0%
  2. Solar 200 MWp 129 $/t 13.1%
  3. Curtailed 431,296 MWh/yr 34.1% of the energy
  4. Battery 20 MW · 80 MWh 35 $/t 3.6%
  5. Water 1,237 m³/day 2 $/t 0.2%
  6. Electrolyser 150 MW 233 $/t 23.6%
  7. Hydrogen store 50 t usable 64 $/t 6.4%
  8. Ammonia plant 150,000 t/yr 189 $/t 19.1%
  9. Ammonia made 87,015 t/yr

Cost of a tonne 989 $/t

Left, the electricity: each flow as wide as the energy it carries, the hatched one curtailed. Right, the cost of a tonne: each stage’s share, stacked into one bar.

At 150 MW, renewable energy is what limits output on 226 of 365 days: 87,015 t of ammonia a year at 989 $/t; 175 MW gives the lowest cost of the five sizes, 980 $/t.

Computed by Hyprisma 1.0.5 · example project ‘Ammonia export plant’ · feasibility design v2 (battery for the night hours) · rule-based engine · default assumption book v2 · public typical-year dataset (2024) · computed 12 November 2026

Key figures at 150 MW of electrolyser · rule-based engine · one typical year

Cost of ammonia
989 $/t
Ammonia made
87,015 t/yr
Hydrogen made
15,445 t/yr
Electrolyser utilisation
60.3 % average load over its size
Energy curtailed
34.1 % 431,296 MWh/yr of wind and sun
Below minimum run
96 h/yr short of hydrogen · 0 h short of power

Method

Every figure in these instruments was computed, not typed.

They come from Hyprisma 1.0.5 running its example project on the default assumption book v2 and a typical year of public weather data (2024). Open the example in the app and it solves to the same figures.

Two engines bracket the truth

The rule-based engine runs the plant hour by hour as an operator would, with no foresight. The LP solver runs the same plant knowing the whole year in advance: the best it could do. The real plant lands between the two.

One week, hour by hour · 1–7 April 2024

The example’s feasibility design: 250 MW wind, 200 MWp solar, 20 MW / 80 MWh battery, 150 MW electrolyser, 50 t hydrogen store. The week is the full Monday-to-Sunday week whose wind and solar energy is closest to the median week of the year.

  • Wind available
  • Solar available
  • Electrolyser draw, its 1.5 MW standby included
  • Electrolyser size, 150 MW
  • Battery
  • Hydrogen store

Point at the chart, or focus it and use the arrow keys, to read any hour.

Rule-based engine no foresight · the base case

storage level, % of usable capacity

LP solver perfect foresight · the ceiling

storage level, % of usable capacity

In this week the LP solver makes 10.3% more hydrogen than the rule-based engine (344.7 t against 312.5 t): it empties and refills the battery on 7 of 7 days, where the rule-based engine never lets it fall below 63%.

The whole typical year, the same design · cost of a tonne of ammonia

  • Rule-based engine the base case 989 $/t
    87,015 t/yr
    96 h short of hydrogen
  • LP solver the ceiling 879 $/t
    97,866 t/yr
    0 h short of hydrogen

Over the year the same plant makes 87,015 t of ammonia at 989 $/t run by the rules, 96 h below its minimum run for lack of hydrogen, and 97,866 t at 879 $/t run by the solver, never below its minimum run: the first is the base case, the second the ceiling.

Every number has a source

Results are driven by the project’s assumption book: one row per parameter, with its unit, the range it may take, and where it comes from. Change a row and the results follow; the book keeps the earlier version.

Default assumption book v2 · dab_v2.xlsx

Row 2 of 38 in the Hydrogen sheet, as the workbook holds it.

  • Generation
  • Hydrogen
  • Water
  • Derivatives
  • CO2
  • Infrastructure
  • Financials
Parameter
Capex electrolyser usd per kw
Key
capex_electrolyser_usd_per_kw
Value
1,000
Unit
$/kW
Allowed range
≥ 0
Source
dab the default assumption book
Notes
— none

In the example, at 150 MW, this row prices the electrolyser at 150.0 $M of capital. With its operating cost, that is 233 $/t of the ammonia cost, the electrolyser’s share in the instrument above.

Where a value comes from

Each value carries its source. A source higher up outranks the ones below it.

  1. Contract later stages a price someone has signed
  2. Quote later stages a supplier’s offer for this project
  3. User today your own value, typed in the app or brought in from the Excel book; the book keeps versions
  4. Default book today · this row the value every new project starts from

Read the method, in the app’s own documentation

Data

Your data stays yours.

Start from public weather data, then bring your own.

Public data

The site library

Hourly wind and solar to start from, shipped with the app.

  • The example site: a typical year of public weather data (2024)
  • A reference site: a synthetic 30-year profile

you start a project from it

Yours

Your workspace

Everything a project is made of, shared with the people you add.

  • Projects, their assumption books and versions
  • Snapshots of results
  • Your own hourly series
  • Each person with a role: viewer, editor or admin

you bring them in

Yours

Your own series

Hourly wind and solar you bring in stay in your workspace.

Measured data can stay on your own machine: the same app runs locally.

Where data lives, and the workbook your own series come in

How it works

One project, from a first screening toward a bankable study.

A project moves through stages freely and keeps its history. Each stage adds one layer to the one below it.

  1. 01 Available

    Prefeasibility

    A first screening of the plant. Adds: time.

    • Annualthe year from its averages, in closed form, in seconds
    • Timeseriesthe same plant hour by hour, on a year of real weather
  2. 02 Available

    Feasibility

    The plant as it has to run. Adds: operating limits (minimum load, ramps, standby) and the best dispatch.

    • Two enginesrules with no foresight, and the LP solver that sees the whole year
  3. 03 Coming

    Pre-FEED

    Every unit of the plant in detail, and compliance. Adds: plant fidelity.

  4. 04 Coming

    Financing

    The financial model a lender reads. Adds: cash flows, debt and returns.

The products

A project makes one product or several from the same electrolyser. Every product shares the upstream plant: wind and solar, a battery, the electrolyser and its desalinated water. The CO₂ comes from point-source capture, direct air capture or a bought-in supply.

  • Ammonia NH₃ Hydrogen and nitrogen from an air separation unit, through Haber–Bosch synthesis
  • e-Methanol CH₃OH Hydrogen and CO₂, through methanol synthesis
  • e-SAF jet fuel Hydrogen and CO₂, by Fischer–Tropsch or by methanol-to-jet
  • e-NG CH₄ Hydrogen and CO₂, through methanation
  • Green iron DRI Iron ore reduced directly with hydrogen
  • Green steel EAF Green iron melted in an electric arc furnace
  • Exported hydrogen H₂ Compressed for export through an injection compressor

The stages in full, with the example through every engine

See it

The app, as it is today.

  • The prefeasibility cockpit of the example ammonia plant, run hour by hour: renewables marked binding, an electrolyser making 16,976 t/yr of hydrogen, 95,373 t/yr of ammonia at 872 $/t, and hydrogen at 3.92 $/kg.
    What limits the plant, and what a tonne costs Prefeasibility cockpit · hour by hour · example project ‘Ammonia export plant’ · Hyprisma 1.0.5
  • The prefeasibility cockpit of the example multi-product plant: renewables marked binding, an electrolyser making 25,845 t/yr of hydrogen, and levelized costs of 808 $/t for e-methanol, 3,420 $/t for exported hydrogen and 742 $/t for ammonia, with hydrogen at 3.40 $/kg.
    Several products from one electrolyser Prefeasibility cockpit · closed-form engine · annual resolution · example project ‘Multi-product plant’ · Hyprisma 1.0.2
  • The assumption book of the example ammonia plant, grouped by plant section: each parameter with its value, unit, allowed range and source, for example the solar capital cost of 450 $/kW and the wind capital cost of 900 $/kW, both from the default book.
    The assumption book Prefeasibility · the book the engine reads, 54 of its 244 parameters in this stage · example project ‘Ammonia export plant’ · Hyprisma 1.0.2

Screens of the app’s example projects, on the default assumption book v2.

Early access

Join the waitlist

Hyprisma is in early access, and free during early access. Leave your e-mail and we will invite you.

  • The two stages shown here: prefeasibility and feasibility
  • Every product on this page, alone or together
  • Your projects in your own workspace

We use these details only to invite you. The privacy note says what is kept and where.