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Rainwater Storage Simulator

Simulate a tank over ordered rainfall periods, showing captured water, overflow, demand coverage and backup-water needs.

Local calculationsEditable projectsCSV & reports
  1. 1Explore the example
  2. 2Edit your assumptions
  3. 3Compare & export

Loading the worked example…

Your working data

Edit cells directly or import a CSV. Download “Input CSV” for the required column names. Up to 200 rows; scroll the table sideways for additional fields.

What this model includes

Rows are processed in their entered order. Each period’s rainfall arrives before demand; this coarse model cannot reproduce storms or daily shortages inside a period. Non-potable water budgeting only.

Import and save safely

CSV imports use your current assumptions. Project files restore assumptions, rows and saved scenarios. No automatic saving: download a project before closing this page. Imports are limited to 10 MiB and 200 rows. Calculations run in your browser; the site’s advertising and analytics follow its privacy policy.

Using Rainwater Storage Simulator

Simulate a tank over ordered rainfall periods, showing captured water, overflow, demand coverage and backup-water needs.

  1. Review the preloaded example and the model limits before entering real data.
  2. Adjust collection area (m²), collection efficiency (%), tank capacity (liters), initial storage (liters).
  3. Edit the period rows or import a CSV using the Input CSV column template.
  4. Open Results & chart to inspect details, sort columns and filter rows.
  5. Capture alternative scenarios, then download a project, result CSV or printable report.

Example

The worked example includes January, February, March, April.
Change the first collection area (m²) setting and compare the result with a saved baseline.

Questions & answers

What does Rainwater Storage Simulator calculate?

Simulate a tank over ordered rainfall periods, showing captured water, overflow, demand coverage and backup-water needs.

What are the important limitations?

Rows are processed in their entered order. Each period’s rainfall arrives before demand; this coarse model cannot reproduce storms or daily shortages inside a period. Non-potable water budgeting only.

Can I continue my work later?

Yes. Save a project JSON file and reopen it with Import CSV / project. It contains the working data, assumptions and up to four scenarios. Nothing is saved automatically.

What CSV columns do I need?

period, rain, demand. Download Input CSV for a compatible example. CSV imports keep your current assumptions.

Are these example figures current industry benchmarks?

No. They are illustrative values to demonstrate the model. Replace them with figures appropriate to your situation.

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