2026-10-05 05:46:26 | Lượt xem: 34 | Energy and greenhouse gases
A practical guide to inventory boundaries, activity data, emissions calculations, reporting and reduction planning.
ITVC GLOBAL · BUSINESS SERVICES
A greenhouse gas (GHG) inventory identifies, quantifies and reports emissions associated with an organisation's activities. It provides a basis for understanding emission sources and planning reductions.
Determine the facilities, operations and reporting period included in the organisational boundary. Define the reporting scope:
Gather energy, fuel, materials and other relevant operating data. Establish a consistent method using the chosen reporting framework, such as the GHG Protocol or ISO 14064-1, and applicable sector guidance.
Use appropriate activity data, emission factors and global-warming potentials to express emissions in tonnes of CO₂ equivalent (tCO₂e). Record units, assumptions, factor sources and quality checks. Calculation software supports the process but does not replace data review.
Potential sources include IPCC guidance, EPA resources, the GHG Protocol and relevant national emission-factor publications. Select factors appropriate to the geography, activity and reporting year; an older electricity-grid factor should not automatically be used for a newer inventory.
Present the boundary, methods, data, results and limitations in the format required by the regulator, customer or reporting framework. Keep supporting evidence traceable to the calculations.
Identify significant sources and assess measures such as energy efficiency, process optimisation, suitable renewable energy and lower-emission technologies.
A reliable inventory supports applicable legal and customer reporting, provides clearer environmental information to stakeholders and helps identify inefficient resource use. It can also support sustainability discussions with customers, partners and investors.
Businesses may encounter incomplete records, difficult Scope 3 data collection, limited specialist capacity and resource constraints. These challenges should be reflected in the project plan and data-quality review.
Train data owners, define clear responsibilities, use suitable tools and obtain technical support where needed. Establishing the data-collection process early makes subsequent inventories more consistent and easier to maintain.
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