IDEMAT sources, and Calculation Rules

Background and sources

IDEMAT (short for Industrial Design & Engineering MATerials database) is a compilation of LCI data of the Sustainable Impact Metrics Foundation, SIMF, a non-profit spinn-off of the Delft University of Technology. It is designed for the need of designers, engineers and architects in the manufacturing and building industry.

The dataset has been developed to educate approx 500 students each year on how to apply LCA in the fuzzy front end of Industrial Design Engineering. The aim was to provide students with:
(1) extra data on plastics, alloys, wood species (that were missing in Ecoinvent).
(2) extra data on end-of-life credits for recycling and combustion with heat recovery, to give students a better understanding of material and system choices in regard with circular design.

Until 2014 the dataset was based on Ecoinvent Version 2 LCIs, but after the introduction of EI Version 3, there wase a growing dissatisfaction on the lack of sufficient transparency (which was excellent in the EI Version 2)

and the inaccuracies of data on e.g. electricity (see Electricity in LCA) and transport (data seemed to be outdated). At that time it was decided to build a new dataset based on peer reviewed literature and measured data. The aim was to achieve:
(a) A better accuracy than Ecoinvent in relation to electricity and transport, for the main emissions (CO2, SO2, NO2, PM2.5, etc.) ,
(b) Provide accurate data on modern, proven, technology (world or European average), avoiding inaccuracies by uncertain assumptions.
(c) Provide a good transparency of the source of LCI data (better than than e.g. Ecoinvent)

In total, IDEMAT has more than 2150 LCIs. These data lines are based on peer-reviewed scientific papers, books, reports and PhD thesis (1436), plus additional LCI’s made by Delft University of Technology (620), and Plastics Europe (82). The remaining background LCIs are from Probas (33), USLCI (23), EPDs (18), ELCD (8), CESedupack (7), EI (5), and made by leading companies (6).

Content

SIMF has the aim is to replace these remaining background LCIs by processes from scientific literature as soon as it becomes available in peer reviewed papers.
Furthermore, the processes that seems to have insufficient quality in the verification process  (outdated, or based on insufficient data), are given priority in the process of data maintenance.