Lesson 03 / 12 · Finite storage
Calculate battery ride-through
Does half the stored energy give half the ride-through duration?
Predict before you run
Write down your prediction, then change only the input below. In the interactive lesson, compare the starting case with the challenge and export a worksheet to retain your reasoning.
| Input | Starting value | Challenge value |
|---|---|---|
| Initial battery | 100 kWh | 50 kWh |
Reported quantity: s elapsed. The live control accepts 0–100 kWh.
Worked answer
Charging is disabled in this lesson. 100 kWh delivers 85.5 kWh after the two losses: 307.8 s of ride-through. 50 kWh gives 153.9 s, so depletion is at 453.9 s elapsed.
Reproduce the configuration
| IT demand / simulated duration | 1000 kW / 1800 s |
|---|---|
| Opening battery / energy capacity | 100 kWh / 100 kWh |
| Charging power limit | 0 kW |
| Charge / discharge efficiency | 0.95 / 0.9 |
| Distribution efficiency | 0.95 |
| Generator start delay | 30 s |
Scheduled events
- 300 s: utility — asset down
- 300 s: generator — asset down
- 900 s: utility — asset up
- 900 s: generator — asset up
The browser lesson applies its configuration to the generator_failure preset. Open it above, run the starting case, switch to the challenge, and use “Verify against Python” to compare complete results. Use the worksheet export to keep the prediction, completed inputs and answer together.
Sources and verification
- Exact lesson definitions and input transformations
- Native Python default/challenge checks
- 1 MW equations and independent energy-ledger reconstruction
- Electrical continuity contract
Original material by Mohammad Rezwan Khan, engine 1.0.0. Synthetic teaching cases; no facility calibration or independent external reproduction has been established. Annual PUE planning and outage continuity are different calculations. Full scope and evidence.