Lesson 05 / 12 · Combined failures
Add a failed generator
What changes if the generator cannot start?
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 |
|---|---|---|
| Generator available (0 = failed, 1 = available) | 0 | 1 |
Reported quantity: s unserved. The live control accepts 0–1.
Worked answer Link to this answer
With the generator failed, the battery empties at 607.8 s and service is lost for 292.2 s. An available generator starts after 30 s and avoids that gap.
| Configuration | Generator available (0 = failed, 1 = available) | Result (s unserved) |
|---|---|---|
| Starting case | 0 | 292.2 |
| Challenge | 1 | 0 |
Calculated from the same inputs as the interactive lesson. Display rounded to six decimal places; full decimal strings, inputs and energy records are in the downloadable result record.
Reproduce the configuration
| IT demand / simulated duration | 1000 kW / 1800 s |
|---|---|
| Opening battery / energy capacity | 100 kWh / 100 kWh |
| Charging power limit | 100 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
- Lesson definitions and input transformations
- Native Python default/challenge checks
- Electrical continuity contract
- Three reference cases, equations and versioned source records
Cite this lesson
Mohammad Rezwan Khan. “Add a failed generator.” Datacenter Twin Lab, engine 2.0.1. https://khanlab.co.technology/learn/generator-failure/
Documentation source: 4878472c4d6c166c3dbd81aee292a0a56e89ffff. For a numerical claim, also retain the completed inputs and the result record; the live lesson can be changed by its controls.
Original material by Mohammad Rezwan Khan, engine 2.0.1. 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.