Activity Data & Emission Factor Review in Saudi Arabia

This guide explains emission factor and activity data uncertainty, and Saudi Carbon Monitoring helps facilities in Saudi Arabia document the activity data, factors, measurement methods and assumptions behind an emissions estimate. We scope and coordinate the review, and factor selection is confirmed for the project, framework, technology, geography and reporting period.

You receive a written proposal setting out the review scope, deliverables, responsibilities, lead time and price. Request a quotation

An emissions estimate may look precise because software displays several decimal places. Its real confidence depends on the activity data, factor, measurement method and assumptions behind it. Good reporting preserves those layers instead of presenting only a final total. Data review is not independent verification, which is a separate qualified engagement.

Activity data describes the operation

Activity data can be fuel burned, electricity purchased, tonnes processed, kilometres travelled, refrigerant added, waste treated or another physical or financial quantity. A useful record includes source, asset or site, reporting period, original unit, evidence, owner and status.

Completeness and boundary matter as much as accuracy. A precise meter that covers only half the facility can produce a misleading total. Reconcile records against independent totals where practical and record missing periods.

Emission factors connect activity to emissions

A factor represents emissions per unit of activity under stated conditions. Record the publisher, document, version, geography, technology, fuel or material, units, greenhouse gases and global-warming-potential basis. The factor must match the activity unit and intended method.

US EPA AP-42 compiles stationary-source air-pollutant factors. IPCC guidance supports national inventories. GHG Protocol provides corporate standards and calculation resources. They are not interchangeable libraries for every purpose.

Direct measurement has uncertainty too

Source tests, meters and sensors have instrument, sampling and representativeness limits. Calibration improves confidence but does not correct a poor location or unrepresentative operating condition. A short test may precisely characterise that run while poorly representing annual operation.

Record method, instrument, calibration or checks, conditions, detection limits and deviations. When annualising, explain the relationship between the measurement and activity period.

Estimates and gaps should stay visible

When records are missing, the practitioner may interpolate, use a proxy, apply an engineering calculation or select a factor. The estimate should identify why it was needed, inputs, formula, approval, uncertainty and replacement plan. Zero is not a safe default unless zero activity is confirmed.

Emission factor and activity data uncertainty: how to prioritise improvement

Uncertainty analysis can be qualitative or quantitative. Focus on sources that are material to the total or decision and where better evidence could change the conclusion. A new meter may be valuable; in another case, correcting the organisational boundary matters more.

The calculation controls service manages factors and formulas, while data gaps and uncertainty creates the improvement plan.

A simple review example

Suppose a facility estimates boiler emissions from monthly natural-gas use. The reviewer works through these checks:

1. Confirm that the account serves the boiler boundary.
2. Check the original unit and period.
3. Reconcile invoices with meter totals.
4. Select a documented factor and verify unit conversion.

If the factor assumes a heating-value basis different from the activity data, the calculation must address it. A correct multiplication with mismatched bases is still wrong.

Now suppose a source test provides a site-specific rate. Before replacing the factor, the practitioner checks load, fuel, control status, test quality and annual representativeness. The measured rate may apply to one operating band and the factor to another. A transparent hybrid can be better than declaring one evidence type universally superior.

Controls worth retaining

Keep original activity files, a data dictionary, factor register, conversion table, calculation version, reviewer checks, assumptions, estimates and change log. Record significant sensitivities. When a new factor or measurement is adopted, state the effective period and historical treatment. These records make uncertainty actionable and allow a verifier to reproduce the result rather than infer the method from a final total.

Communicate uncertainty without losing the audience

Management needs to know which values are robust enough for a decision and which could change materially. Present the main estimate, method, key uncertainty drivers and planned improvement in plain language. Use ranges or sensitivities only when the method supports them. Avoid a single unsupported confidence percentage.

For external reporting, follow the chosen framework and qualified advice. A concise disclosure can still be transparent if the detailed calculation, factor and gap records are controlled behind it.

Next step

To act on emission factor and activity data uncertainty in your inventory, send us your source list, current records and reporting framework. Request a quotation