ISO 14064-2: GHG Projects Guidance

I. Definition

ISO 14064-2 is an international standard that provides guidance on quantifying, monitoring, and reporting greenhouse gas reductions or removals from projects.
It applies to GHG projects that aim to reduce emissions or increase carbon removals compared to a defined baseline.

In simple terms: ISO 14064-2 explains how to prove that a climate project really reduces emissions, and by how much.

II. Context

ISO 14064-2 is used for projects, not for entire organizations.
Typical GHG projects include renewable energy installations, energy efficiency programs, or carbon removal initiatives.

The standard requires projects to define a baseline scenario.
This baseline represents what emissions would have been without the project.
Only the difference between the baseline and the project result can be counted as a reduction.

ISO 14064-2 also requires clear monitoring plans, data sources, and calculation methods.
All assumptions must be documented to allow verification.

Because of this structure, ISO 14064-2 is often used to support carbon credits and other results-based climate mechanisms.

III. Why it matters

At Orizscore, we see ISO 14064-2 as a safeguard against weak climate claims.
Projects often look good on paper, but impact must be proven, not assumed.

The key question is additionality.
Would the reduction have happened anyway?
If the answer is unclear, the climate value is weak.

ISO 14064-2 forces project owners to show evidence, define baselines clearly, and track results over time.
This creates trust and protects the integrity of climate action.

In markets where results have financial value, proof is the currency.
Without strong standards, confidence disappears.

IV. Related terms

V. Example

A company installs solar panels to replace electricity from fossil fuels.
Using ISO 14064-2, it defines a baseline where electricity would come from the grid.

The project measures actual electricity produced by the panels and calculates avoided emissions.
All data and assumptions are documented and verified.

The result is a clear, measurable emission reduction that can be trusted and, in some cases, converted into carbon credits.

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