this Paper by Jens Peters and Marcel Weil evaluates a lot of the Life-Cycle Inventory data that recent studies used, traced them back to primary data sets (such as Ecoinvent) and makes a suggestion for a common basis for further LCAs of battery technologies:
If you’re interested in digging deeper into the topic, it may make sense that you / your chair set up your own node in the Life Cycle Data Network maintained by the JRC http://eplca.jrc.ec.europa.eu/LCDN/
I can provide you with Ecoinvent datasets if you need some
Thanks all for the links! It seems that LCA work doesn’t really disentangle embodied vs operational emissions/energy, which makes it difficult to use for optimisation (where both are sets of decision variables).
Saying that, the supplementary information given in https://doi.org/10.1016/j.envsoft.2017.09.010 does break it down pretty well. But, it requires further digging to go from e.g. “freight transport (tkm)”, “Iron (t)”, and “cement (t)” to relevant CO2eq emissions.
I’ll drop you an email about Ecoinvent datasets @accon, thanks for the offer!
Indeed the way datasets are defined in ecoinvent is a bit messy, and it is not straight forward to differentiate embodied and operational burden. There may be ways around it (i.e. derive a classification from isic codes) but it is not straight forward.