00Data requirements
The five-step PKE method starts with your data, not our catalog. This page is the complete checklist. Gather it once and the sizing study moves in days instead of months.
| Input | Specification |
|---|---|
| Utility settlement data | 12 months · HT bill / settlement files |
| Interval load data | 15-min or better · meter or SCADA export |
| ToD tariff schedule | Current tariff order · all slots and rates |
| Contract demand | Sanctioned kVA · penalty structure |
| Single-line diagram | Connection point · transformer ratings |
The sizing engine reconciles what you drew from the grid against what you injected: solar export, DG contribution, everything. The reconciled record is what the Customer Energy Matrix is built from; unreconciled data produces systems sized to accounting artifacts.
The core dataset carries most of this study. Add anything that changes your demand profile within the horizon:
+ Planned load additions or removals, with dates
+ Open-access agreements, if any
+ Power factor history, if penalized
Crane duty is about peaks rather than averages, so the pairing depends on the machine itself:
+ Crane make and model (or class in tonnes)
+ Main motor rating (kW) and max AC current
+ Shift pattern: hours per day, days per week
+ Site supply: grid kVA available, or DG rating on site
Storage is sized to the gap between when the roof generates and when the site consumes:
+ PV capacity (kWp) and string orientation
+ Generation data: inverter export, 12 months if available
+ Export constraints or net-metering terms
+ Planned PV expansion, if any
The hybrid architecture is chosen by what the DG actually does today:
+ DG ratings and count
+ Fuel logs: litres per month, 12 months
+ Run-hour logs and typical loading (%)
+ Objective: lowest cost · silent/zero-emission · minimum fleet change
Backup sizing is contractual, so the study starts from the obligations:
+ Critical load schedule (kW, by bus)
+ Required autonomy (minutes/hours) and SLA terms
+ Existing UPS/DG topology and transfer scheme
+ Redundancy requirement: N, N+1, 2N
Study data is used to produce your sizing study and nothing else. It is not resold, benchmarked across clients, or retained past the engagement without your written consent.
The study ships with the reconciled dataset and the Customer Energy Matrix, so your data comes back in better shape than it arrived.
Attach what you have; a partial set still starts the conversation, and we will list exactly what remains.
