LONG-TERM STORAGE

Post-storage BESS Usability Assessment

A decision-ready view of calendar aging, restart readiness and on-site evidence.

Current asset—Demo workspace
Demo modelAnchored to CALCE storage tests and adjusted by temperature, SOC, management history and field evidence. Extrapolation is always labelled.
Model boundary →
Input rangeSOC 0–100%, mean temperature −40–65°C, storage duration 0.05–30 years. Out-of-domain inputs remain visible as engineering extrapolation and require field calibration.
Quick scenario
01

Assessment inputs

Complete the minimum data set, then run the assessment.

Ready when you are

Asset information

Import field dataCSV can map common fields. Excel (.xlsx/.xls) and MATLAB (.mat) files are accepted as an integration preview.

Upload CSV, Excel or MAT data. The demo maps a CSV header row; other formats are queued for secure integration.

Storage history

On-site test data

Ready to assess?Results appear only after you run the assessment. Changing an input requires a new run.
Overall usability conclusionASSESSMENT RESULT
Engineering extrapolation
—/100
Input required

Complete the minimum data set

Enter chemistry, rated energy, average storage SOC, average temperature and storage duration.

Predicted capacity retention—%

The interval appears after required inputs are complete.

Estimated available energy— kWh
Recommended continuous power— kW
Years to 80% reference— years
02

Evidence and applicability

The system presents both the outcome and its confidence boundary.

Calibration required
5
Field-data completeness 5%

No measured capacity is available; the result relies mainly on storage-history estimation. Missing BMS history means anomaly evolution cannot be traced.

CALCE storage anchorTemperature accelerationSOC stressField consistency
03

Capacity-retention trend

An engineering projection for the current storage conditions; it does not replace periodic capacity calibration.

EstimateUncertainty interval
80% reference lineShown as a demo life-management threshold. The actual retirement criterion must consider contract, power demand and safety requirements.
04

Ageing and risk drivers

The main factors driving the present conclusion.

Temperature acceleration38
High-SOC stress41
Cell consistency37
Electrical ageing25
No high-severity risk signal identified
05

Recommended next steps

Turn the model outcome into actions the site team can execute.

Priority P1
  1. 1
    Complete one standard capacity verification to establish a site baseline.Confirms whether the estimate matches the actual condition.
  2. 2
    Check insulation, contactors and fire-system interlocks before restart.Focuses on cell, sensing and thermal-management gaps.
  3. 3
    Operate initially at 89% of rated power.Monitor voltage spread and temperature rise during limited trial operation.
06

Model method and boundary

The demo remains interpretable and does not conceal extrapolation risk.

01Public-data anchor

CALCE: SOC, temperature and 21/91/182-day storage capacity

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02Engineering ageing layer

Square-root time, temperature acceleration, SOC and management stress

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03Field calibration layer

Capacity, resistance, voltage spread, temperature spread and alarm history

Important boundary

This page is for commercial-solution demonstration. LFP/NMC and multi-year-storage outputs are physics-informed engineering extrapolations; production delivery requires calibration and independent validation on the company’s matching cells and cabinet history.

REPORT

Market-specific Demo Report

The webpage language remains unchanged; the exported report uses the selected market and report language.

Singapore BESS technical-assessment file structure · DEMOThe selected market structure and verification checklist will be applied without changing the webpage language.

The demo generates a communication draft only. Compliance, certification, CE marking, UL listing and authority approval must be independently confirmed by qualified parties and local requirements.