Data issues
- In the Metals sector, the new elementary exchange "Holmium, in ground", with the compartment "natural resource" and sub compartment "in ground", was erroneously used as replacement for the old elementary exchanges that represent molybdenum that is extracted from the ground (exchanges whose names start with "Molybdenum, ..." in version 3.5). For the next release, this exchange will be replaced by "Molybdenum, in ground" in the datasets that are meant to have an input of molybdenum from the ground.
- The activity "treatment of wastewater from grass refinery, capacity 5E9l/year, RoW" is not available in the APOS system model. This does not have any impact on the scores, as the activity and the respective reference product are not used within the database.
- The stoichiometry for the dataset "barium sulfide production" GLO (2015-2020) is incorrect. The amount of the input of "barite" should be 1.45kg. The relative emissions are therefore also incorrect. The correction will be available with the release of v3.7.
- Five agricultural datasets were identified to have inconsistent amounts of nitrate emissions to ground water. The correct amounts are shown below. The correction will be available with the release of v3.7.
- The dataset "propane extraction, from liquefied petroleum gas" is modelled incorrectly, the input of "liquefied petroleum gas" in incorrect.
-
In the dataset “styrene production”, the benzene emissions to water and to air are too high. With support of PlasticsEurope, it could be established that the benzene emissions to water can be removed completely from the dataset and the benzene emissions to air were decreased to 2.0E-07 kg.
- In November 2020, we received an update from the International Zinc Association regarding the modelling of the zinc mining dataset:
The exchange amount of the input from the environment "Gold, in ground" (compartment: "natural resource"; subcompartment: "in ground") was found to be wrong in the activity "zinc mine operation, GLO". As this is a multi-output activity, several datasets are affected by this error in the attributional system models. The new amounts in each system model, based on corrected data supplied by the data provider, are listed in the table below. These amounts correspond to those published in version 3.7.1 of the ecoinvent database.
|
System model |
Reference product |
Corrected exchange amount of "Gold, in ground" (kg) |
|
Undefined |
zinc concentrate |
0.00000104 |
|
Allocation, APOS |
bulk lead-zinc concentrate |
6.86335E-07 |
|
Allocation, APOS |
copper concentrate, sulfide ore |
1.58859E-06 |
|
Allocation, APOS |
gold, unrefined |
0.040384363 |
|
Allocation, APOS |
iron scrap, unsorted |
2.80535E-07 |
|
Allocation, APOS |
lead concentrate |
7.10915E-07 |
|
Allocation, APOS |
lime |
2.21215E-07 |
|
Allocation, APOS |
quicklime, milled, loose |
1.45586E-07 |
|
Allocation, APOS |
sand |
7.56292E-09 |
|
Allocation, APOS |
zinc concentrate |
7.18478E-07 |
|
Allocation, cut-off |
bulk lead-zinc concentrate |
6.88443E-07 |
|
Allocation, cut-off |
copper concentrate, sulfide ore |
1.59347E-06 |
|
Allocation, cut-off |
gold, unrefined |
0.040508371 |
|
Allocation, cut-off |
lead concentrate |
7.13098E-07 |
|
Allocation, cut-off |
lime |
2.21895E-07 |
|
Allocation, cut-off |
quicklime, milled, loose |
1.46033E-07 |
|
Allocation, cut-off |
sand |
7.58615E-09 |
|
Allocation, cut-off |
zinc concentrate |
7.20684E-07 |
|
Consequential |
zinc concentrate |
0.00000104 |
- The two datasets: purified terephthalic acid production, GLO/RER, 2011-2017 are missing five exchanges to the environment. Among the others, the datasets should include the exchanges shown in the table below. The corrected datasets will be included in the release of 3.7.
Consequential system model issues
- Three elementary exchanges are found in the compartment "social". These exchanges can be ignored, both at the unit process and the inventory level, as ecoinvent does not yet account for social impacts.
- The modelling of the constrained market "market for fibre, silk, short" in the Consequential system model is incorrect. This issue affects solely the silk supply chain.
LCIA method implementation issues
The implementation of the EF2.0 method (previosuly names ILCD 2.0 in ecoinvent) in version 3.6 has some errors in the implementation of characterisation factors that influence the score of the indicator "minerals and metals". The implementation has been corrected for version 3.7, this is accessible in the file "ecoinvent 3.7_LCIA_implementation.zip" accessible in ecoQuery.
A full report of the CF mistakes and their effect on dataset scores is available upon request. For more details, please contact support@ecoinvent.org.
For questions please contact support@ecoinvent.org.