Normalisation and Weighting of Life Cycle Impacts


Normalisation and weighting is a method for aggregating life cycle impacts across several environmental impact indicators into a single score. It can be employed to facilitate better understanding of environmental damage across impact categories that are either abstract, or that have non-intuitive reference units. Grouping is a further optional step for sorting impact indicators into sub-categories prior to weighting and aggregation.  

Several rating schemes utilise normalisation and weighting, including BREEAM (BRE), ISv1.2 & ISv2.0 (ISC), and Green Star Buildings (GBCA) for calculating EcoPoints, EnviroPoints and Life Cycle Impacts, respectively. 



ISO14044 defines normalisation as: “calculating the magnitude of category indicator results relative to reference information”, as such, normalisation converts the raw environmental impact values for each indicator to their impact relative to the selected reference point. 

A commonly selected reference point is the average per capita environmental impact over a year – this could be globally, nationally, or across a region. Thus, normalisation is often used to express the environmental impact of a good or service (or construction project) relative to the environmental impact of a single person across the selected set of environmental indicators. To enable comparison with benchmarks or other studies, generally it is the impacts per functional unit that are normalised. 

Other potential reference points could be industry or sector specific emissions, but it is also valid to normalise “internally”. Internal normalisation is a comparison between a reference product or reference model within the same study e.g., between a proposed building design and an equivalent business as usual building design. Note that the normalised impact figures have no units.


Normalised Impact = Raw Impact / Normalisation Factor



ISO 14044 defines weighting as: “converting and possibly aggregating indicator results across impact categories using numerical factors based on value-choices”, as such, weightings can be applied to normalised indicator values based on how relatively important they are deemed to be. The normalised and weighted indicators can then be added up into a single aggregated environmental impact score that can be used for decision making purposes. 


Normalised and Weighted Impact = Normalised Impact x Weighting Factor



Grouping is an optional step that can be used to sort environmental impacts by various characteristics. For example, indicators could be grouped based on geographical impact i.e. global scale impacts, and regional scale impacts, or into impact categories such as ecological impacts, human health impacts, and resource use impacts. Grouping indicators prior to weighting can be useful for rationalising disparate, or large numbers of environmental impacts into fewer or more relatable categories.

Table 1. Examples of Impact Category Grouping


Normalisation and Weighting Factors

Table 2: Bre EcoPoints Normalisation and Weighting Factors

Table 3: Green Star Buildings (Australia) Normalisation and Weighting Factors

Table 4: ISv1.2 & ISv2.0 (ISC) Normalisation and Weighting Factors


Normalisation and Weighting Example

In this example we compare the impacts of two example buildings (A & B), using the Green Star Buildings normalisation and weighting factors.

Table 5: Normalisation and weighting of example building A impacts.


Table 6: Normalisation and weighting of example building B impacts.

After normalisation and weighting, the total life cycle impacts of building A are 0.0799, and of building B are 0.0641. As such, using these normalisation and weighting factors it would be concluded that building B has lower overall life cycle impacts than building A.

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