Compiling and using input-output frameworks through collaborative virtual laboratories

Lenzen, Manfred, Geschke, Arne, Wiedmann, Thomas, Lane, Joe, Anderson, Neal, Baynes, Timothy, Boland, John, Daniels, Peter, Dey, Christopher, Fry, Jacob, Hadjikakou, Michalis, Kenway, Steven, Malik, Arunima, Moran, Daniel, Murray, Joy, Nettleton, Stuart, Poruschi, Lavinia, Reynolds, Christian, Rowley, Hazel, Ugon, Julien, Webb, Dean and West, James (2014) Compiling and using input-output frameworks through collaborative virtual laboratories. Science of the Total Environment, 485-486 1: 241-251. doi:10.1016/j.scitotenv.2014.03.062


Author Lenzen, Manfred
Geschke, Arne
Wiedmann, Thomas
Lane, Joe
Anderson, Neal
Baynes, Timothy
Boland, John
Daniels, Peter
Dey, Christopher
Fry, Jacob
Hadjikakou, Michalis
Kenway, Steven
Malik, Arunima
Moran, Daniel
Murray, Joy
Nettleton, Stuart
Poruschi, Lavinia
Reynolds, Christian
Rowley, Hazel
Ugon, Julien
Webb, Dean
West, James
Title Compiling and using input-output frameworks through collaborative virtual laboratories
Journal name Science of the Total Environment   Check publisher's open access policy
ISSN 0048-9697
1879-1026
Publication date 2014-07-01
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.scitotenv.2014.03.062
Volume 485-486
Issue 1
Start page 241
End page 251
Total pages 11
Place of publication Amsterdam, The Netherlands
Publisher Elsevier BV
Language eng
Subject 2304 Environmental Chemistry
2310 Pollution
2311 Waste Management and Disposal
2305 Environmental Engineering
Abstract Compiling, deploying and utilising large-scale databases that integrate environmental and economic data have traditionally been labour- and cost-intensive processes, hindered by the large amount of disparate and misaligned data that must be collected and harmonised. The Australian Industrial Ecology Virtual Laboratory (IELab) is a novel, collaborative approach to compiling large-scale environmentally extended multi-region input-output (MRIO) models.The utility of the IELab product is greatly enhanced by avoiding the need to lock in an MRIO structure at the time the MRIO system is developed. The IELab advances the idea of the "mother-daughter" construction principle, whereby a regionally and sectorally very detailed "mother" table is set up, from which "daughter" tables are derived to suit specific research questions. By introducing a third tier - the "root classification" - IELab users are able to define their own mother-MRIO configuration, at no additional cost in terms of data handling. Customised mother-MRIOs can then be built, which maximise disaggregation in aspects that are useful to a family of research questions.The second innovation in the IELab system is to provide a highly automated collaborative research platform in a cloud-computing environment, greatly expediting workflows and making these computational benefits accessible to all users.Combining these two aspects realises many benefits. The collaborative nature of the IELab development project allows significant savings in resources. Timely deployment is possible by coupling automation procedures with the comprehensive input from multiple teams. User-defined MRIO tables, coupled with high performance computing, mean that MRIO analysis will be useful and accessible for a great many more research applications than would otherwise be possible. By ensuring that a common set of analytical tools such as for hybrid life-cycle assessment is adopted, the IELab will facilitate the harmonisation of fragmented, dispersed and misaligned raw data for the benefit of all interested parties.
Keyword Australia
Collaboration
Electronic research infrastructure
Life cycle assessment
Virtual laboratories
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Chemical Engineering Publications
Official 2015 Collection
 
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