Match renewable energy to the time of service
An energy total does not identify when energy is available. A system can generate enough electricity over a day yet fail to serve an evening need. Storage moves availability through time but introduces losses and finite power, capacity and operational constraints. Demand shifting is a different intervention that changes the timing of service.
Learning outcome: Compare requests 100, 200 and 300 at efficiency 0.8. Identify the point at which increasing the request cannot collect more surplus and reconcile every energy destination.
Starting recap
Fix the useful service, lifecycle boundary and scenario; distinguish a conditional model result from an observed causal improvement.
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Requested charge 200 and efficiency 0.8 give usable energy 160 kWh. Evening demand receives 150, usable remainder 10 and cycle loss 40. Together 150+10+40=200; no midday surplus is curtailed.
Open the experimentPredict
A request to charge 300 kWh in this packet can actually charge:
Experiment
Compare requests 100, 200 and 300 at efficiency 0.8. Identify the point at which increasing the request cannot collect more surplus and reconcile every energy destination.
Match generation to service time with storage losses
Worked teaching model · synthetic values · Original midday generation 300 kWh, simultaneous demand 100; evening demand 150 kWh. Actual charge=min(request,200). Usable output=charge×efficiency; use up to evening demand and retain any remaining usable energy. Lump cycle losses into conversion; no power, capacity, degradation or charging-emissions constraint is included.
Reset keeps your prediction, captures and practice history.
| Quantity | Value | Unit |
|---|---|---|
| Actual midday charge | 200 | kWh |
| Unstored midday curtailment | 0 | kWh |
| Cycle conversion loss | 40 | kWh |
| Evening demand served | 150 | kWh |
| Evening unmet demand | 0 | kWh |
| Usable energy retained | 10 | kWh |
Daily generation totals cannot establish service at the time it is needed.
The cycle-equivalent ledger allocates charged energy to loss, evening service and usable remainder. Physical state of charge and finite power/capacity limits would require an explicit time-resolved storage model.
Predict, change one control, and save contrasting captures. Reconstruct the balance with units; then explain a process the ledger deliberately leaves out. Display precision is not measurement precision.
Daily generation totals cannot establish service at the time it is needed.
The cycle-equivalent ledger allocates charged energy to loss, evening service and usable remainder. Physical state of charge and finite power/capacity limits would require an explicit time-resolved storage model.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
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Apply
Public practice checks a specific claim. It does not establish independent mastery.
At requested charge 150 and efficiency 0.8, find curtailment, evening service, unmet demand and loss.
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