Data
Your data stays yours.
Start from public weather data shipped with the app, bring your own hourly series in one workbook, and keep measured data on your own machine.
Where each kind of data lives
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.
Bringing your own series
One workbook, one year of hourly wind and solar. The template is an export with no values.
- 01
Download
The empty template, or any site’s workbook to learn the format from.
- 02
Fill
Your 8,760 hours of wind and solar, the year, the source, and whether the series is confidential.
- 03
Import
The app checks the file and shows what it found; nothing is written until you confirm.
- 04
Solve
Your series sits in your workspace and is solved exactly like a shipped one.
The Timeseries workbook
One year of hourly wind and solar with the site it belongs to. The empty template is the same workbook with no values: download one, replace the values, bring it back.
- Cover
- Dataset
- Series
- _schema (hidden, locked)
Dataset
| Parameter | Key | Value | Unit | Allowed range | Source |
|---|---|---|---|---|---|
| Site name | site_name | the example site | text, required | site library | |
| Country | country | withheld here | text, optional | ||
| Latitude | latitude | withheld here | degrees | between -90 and 90, optional | |
| Longitude | longitude | withheld here | degrees | between -180 and 180, optional | |
| Year | year | 2024 | between 1900 and 2100, required | site library | |
| Source | source | typical-year reanalysis | text, required | site library | |
| Licence or attribution | licence | — | text, optional | ||
| Confidential | confidential | no | yes or no | site library | |
| Carriers | carriers | wind and solar | wind and solar, wind, or solar | site library |
Series
| timestamp | wind_cf | solar_cf |
|---|---|---|
| 2024-01-01 00:00 | 0.1280 | 0.0000 |
| 2024-01-01 01:00 | 0.0776 | 0.0000 |
| 2024-01-01 02:00 | 0.0850 | 0.0000 |
| 2024-01-01 03:00 | 0.0624 | 0.0000 |
| … 8,755 more hours … | ||
| 2024-12-30 23:00 | 0.0001 | 0.0000 |
8,760 hourly rows; capacity factors as fractions of rated power, 0 to 1.
What an import checks before anything is written
- It is a Timeseries workbook
- The Dataset and Series sheets keep their fixed columns and rows
- Site name, year and source are filled in, and every value is valid
- The Series sheet has 8,760 hourly rows
- The hours follow one another, with no gap
- Capacity factors are numbers between 0 and 1
- At least one carrier holds values, and Carriers names them
Then it shows the figures to trust the file by, the first and last hour and each carrier’s mean, lowest and highest, and asks before adding the series to your workspace. Annual means here: wind 40.0%, solar 22.3% of rated power.
A typical year, as the engines read it
The example site’s series, the one every figure on this site is solved on.
The example site, a typical year (2024) · day by day
The daily mean of each hour’s capacity factor: the share of their rated power the wind turbines and the solar panels deliver.
- Wind
- Solar
Point at the chart, or focus it and use the arrow keys, to read any day.
Over the typical year the wind turbines deliver 40.0% of their rated power on average and the solar panels 22.3%; the day with the least of both is 4 January, when wind gives 4.2% and sun 8.5%.
What the app never does with your data
-
Never: export a confidential series at full resolution
Mark a series confidential and it never leaves the app hour by hour: no hourly export, no copy in the Excel package. Annual and monthly figures still show.
What is held back, and why -
Never: put your series in the shared library
A series you import is kept in your workspace’s own folder, and a confidential one in a private folder, never the shared one.
The site library, in the data model -
Never: show your projects outside your workspace
Projects belong to a workspace and its members. To anyone else, a project of another workspace does not exist. The account that set the app up can open one only by joining it, and its members see that it did.
The security posture -
Never: open itself to the internet
The app runs on your machine. By default only that computer can open it; shared, it opens on the office Wi-Fi only, over HTTPS.
Sharing on the office Wi-Fi -
Never: change your assumptions without showing you
An assumption book you import shows, value by value, what it would change, and lands as a new version you can switch back from.
What comes back in, and how