ReCiPe Question: What's the difference between Normalized & Single Score?
Posted: 05 Jan 2017 18:41
Hi Folks,
I am using EcoInvent 3.3 in OpenLCA 1.5, reviewing LCIAs of different processes and product systems.
For the purposes of my project I'm using the ReCiPe impact method, w/ Normalization & Weighting set World ReCiPe H/A [person/year].
When I calculate a result, the "Normalization and Weighting" tab in OpenLCA has two sections with values for the ReCiPe impact factors, labeled "Normalization" and "Single Score".
It almost looks like the "Single Score" values are the weighted "Normalization" values -- many of them are times 400, 300, 200 as indicated in the ReCiPe111.xlsx Weighting tab downloaded from http://www.lcia-recipe.net/characterisa ... on-factors
However the multipliers are not consistent across the impact factors, nor are they consistent same for the same impact factors across the results from different product systems.
So what exactly is "Single Score"? And why the inconsistency?
(I'm pretty new to LCA, so I may easily be missing something obvious here! Thanks in advance for your help!)
I am using EcoInvent 3.3 in OpenLCA 1.5, reviewing LCIAs of different processes and product systems.
For the purposes of my project I'm using the ReCiPe impact method, w/ Normalization & Weighting set World ReCiPe H/A [person/year].
When I calculate a result, the "Normalization and Weighting" tab in OpenLCA has two sections with values for the ReCiPe impact factors, labeled "Normalization" and "Single Score".
It almost looks like the "Single Score" values are the weighted "Normalization" values -- many of them are times 400, 300, 200 as indicated in the ReCiPe111.xlsx Weighting tab downloaded from http://www.lcia-recipe.net/characterisa ... on-factors
However the multipliers are not consistent across the impact factors, nor are they consistent same for the same impact factors across the results from different product systems.
So what exactly is "Single Score"? And why the inconsistency?
(I'm pretty new to LCA, so I may easily be missing something obvious here! Thanks in advance for your help!)