Computational challenges in huge LCA and EEIOA systems
| dc.contributor.author | Heijungs, Reinout | |
| dc.contributor.author | Koning, Arjan de | |
| dc.contributor.editor | Pillmann, W. | |
| dc.contributor.editor | Schade, S. | |
| dc.contributor.editor | Smits, P. | |
| dc.date.accessioned | 2019-09-16T03:14:50Z | |
| dc.date.available | 2019-09-16T03:14:50Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | Life cycle assessment (LCA) and environmentally extended input-output analysis (EEIOA) are tools for supporting policies on sustainable production and consumption. Both the LCA and EEIOA model rely on manipulations with matrices, filled with data on technologies, emissions, and environmental impacts. Developments in LCA databases, e.g. at JRC-IES, and in EEIOA databases, e.g. at Eurostat, lead to the creation of ever-increasing datasets. The handling of such datasets in terms of retrieval, storage and processing urges for a need to rethink the computational paradigm. This paper sketches some of the developments. | de |
| dc.description.uri | http://enviroinfo.eu/sites/default/files/pdfs/vol7233/0751.pdf | de |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/26135 | |
| dc.publisher | Shaker Verlag | |
| dc.relation.ispartof | Innovations in Sharing Environmental Observations and Information | |
| dc.relation.ispartofseries | EnviroInfo | |
| dc.title | Computational challenges in huge LCA and EEIOA systems | de |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Aachen | |
| gi.conference.date | 2011 | |
| gi.conference.location | Ispra | |
| gi.conference.sessiontitle | Information Technology for Life Cycle Analysis |