Wednesday, 10 April 2013

Key Participants

 

Institutions


1. The University of Sydney 
The University of Sydney will be a major operator of the infrastructure, continuing a ten year history of applying research in this domain. The infrastructure will transform ISA’s work with national, state and local governments to produce ecological, water and carbon footprints that underpin policy work. Recent examples include: policy advice and ecological footprint analysis for the ACT government (2011); data to support the National Carbon Pollution Reduction Scheme (2008); a major GHG emissions calculator for Government Climate Clever Program (2006); NSW Office of Environment and Heritage tools and materials to support NSW business and industry (2011); and numerous footprints for local councils. Much of this work was underpinned by the theory developed in Balancing Act a two year project commissioned in 2004 by the Federal Government to produce what is still the only national economy-wide Triple Bottom Line (TBL) report in the world. Although somewhat outdated it is still widely used. The proposed infrastructure will make redundant another 2-year Balancing Act project. Instead the VL will enable ISA to deliver fast, high quality responses to specific research questions to fulfil the steadily increasing demand for its footprint expertise. This is especially so with the forthcoming carbon tax and acceptance by the Department of Climate Change and Energy Efficiency of ISA’s methodology as appropriate for underpinning organisations’ claims of Carbon Neutrality. The attached letters of support illustrate ISA’s work with business and its track record in providing applied research and consultancy. This emphasises the readiness and timeliness of this proposal.
Recent prizes underline ISA’s approach to quality standards: 2011 Australian Museum’s Eureka Prize for Innovative Solutions to Climate Change; 2009 the Public Sector Green Globe Award for Sustainability. In addition ISA’s work underpinned the GreenHome calculator for which the Australian Conservation Foundation won a Banksia award in 2007. The ACF count ISA among its most important strategic partners (Don Henry, 2007). The VL will also support ISA’s commitment to teaching and outreach and promote the VL as a model of eResearch infrastructure.

2. The University of New South Wales
In the operational phase UNSW will participate and support others in using the VL to conduct state of the art environmental footprinting and sustainability assessments. The Water Research Centre at UNSW has an extensive track record in conducting such assessments for government and industrial clients in Australia and internationally. The team has used quantitative sustainability assessment tools including life cycle assessment (LCA), carbon, water and ecological footprinting, to analyse products and systems for clients including dairy producers, the Australian red meat industry, regional biosolids managers, waste management companies (including waste-to-energy, material recycling, landfill technologies), manufacturing companies, Sydney Water Corporation and SA Water. We have also developed decision-making frameworks based on LCA principles for the Water Services Association of Australia and EPA Victoria. The VL will enable the completion of such projects with a higher level of accuracy and in a much faster timeframe. In turn, this will enable the Water Research Centre to deliver more comprehensive analyses to industrial and government clients at a lower cost. The Water Research Centre team also plays an active role in public outreach in environmental footprinting through the delivery of undergraduate, postgraduate and professional development courses. The existance of the VL will greatly improve the ability to communicate the benefits of MRIO-based LCA to course participants.

Other VL users at UNSW will include the Life Cycle Engineering and Management (LCEM) Research Group, the UNESCO Centre for Membrane Science and Technology, the Centre for Sustainable Materials Research and Technology (SMaRT@UNSW), and the CRC for Low Carbon Living (see attached letters of support). The LCEM Research Group apply LCA to industrial settings. Their research with manufacturers enables reductions in resource consumption and environmental footprint as well as optimizing efficiency and supply chain management. The VL will contribute to LCEM’s sustainability assessment toolbox, enabling analysis of a more comprehensive suite of environmental aspects. SMaRT@UNSW brings together researchers from the Faculties of Science, Engineering, Built Environment and ADFA to work with industry on the development of innovative, sustainable materials and manufacturing processes. The VL will support decision making around sustainable materials and processes by enabling access to a world class environmental assessment tool. The UNESCO Centre for Membrane Science and Technology integrates fundamental science with enabling technologies and to dissimilate membrane knowledge and information. The VL will streamline the use of LCA to understand the impact of resource recovery from wastewater systems. The CRC for Low Carbon Living aims to provide government and industry with social, technological and policy tools to overcome identified market barriers preventing adoption of cost effective low carbon products and services, while maintaining industry competitiveness and improving quality of life. The VL will enhance capabilty quantitatively measure the impact of CRC projects and outcomes (see letter of support).

3. CSIRO 
CSIRO has two roles in operating the VL: (1)coordination and management and (2) research related to the sustainable use of natural resources. CSIRO work aims to provide ongoing support to decision makers to regarding sustainable consumption policies, social marketing, supply-chain initiatives, life-cycle assessments and carbon/energy/water footprinting indictors. CSIRO has an extensive track record and expertise in this domain.

4. The University of Queensland and Griffith University 
After the successful implementation of data feeds, use the VL to (1) understand and elucidate the nexus between flows of water, energy and carbon within inter-regional, inter-state and international trade (eg. How will Australias water development strategy influence energy? How will our carbon abatement plan influence water?), (2) analyse life cycle Impacts with a particular emphasis on nutrient flows) (3) develop MRIO-based indicators of sustainability and eco-efficiency policy (4) analyse the Queensland regional metabolism (a unique application of the VL with the sub-regional information available initially only for Qld), and (5) identify potential synergies between e-MRIO and other related urban/regional metabolism mapping techniques. The UQ-GU team have an extensive eperience in these domains and the VL will greatly accellerate the ability to analysis, interpret and communicate outcomes.

5. The University of Ballarat
In the operation phase UB will troubleshoot the optimisation tools for balancing the MRIO framework. There will be requirements for data volume testing and computation capacity testing to ensure sufficient users can be served. CIAO also has an excellent record in supporting researchers using software tools during their operational phase. For example GANSO, a tool developed by CIAO, has been utilised in workforce management optimisation carried out for Transfield. CIAO actively supports the users of these products (and other CIAO software) through the provision of documentation, training and online support forums.




Key Person

Key personnel (both in-kind and NeCTAR-funded; DP = Development Phase, OP = Operational phase).


Prof Manfred Lenzen
University of Sydney,  Chief Investigator. 
 
Professor Manfred Lenzen leads the Integrated Sustainability Analysis (ISA) group at the School of Physics, and supervises Masters and PhD students with interests in research on interactions between the economy and our environment.
  • More than 100 published articles in international, peer-reviewed journals

  • Editor-in-Chief for the ISI-listed journal Economic Systems Research

  • Associate Editor for the ISI-listed Journal of Industrial Ecology

  • Chief Investigator in Australian and overseas research grants

  • Extensive global academic collaborator network

  • Founder of interdisciplinary ISA research group (www.isa.org.usyd.edu.au)
Brief CV:
2006-2011: Chair of Sustainability Research, The University of Sydney, Australia
2002-2006: Senior Research Fellow, School of Physics, The University of Sydney, Australia
2004-2005: Visiting Professor, Graduate School of Frontier Sciences, Institute for Environmental Studies, The University of Tokyo, Japan
2000-2001, 2003: Visiting Professor, Energy Planning Program, Federal University of Rio de Janeiro, Brazil
2000, 2002: Guest Researcher, AKF, Institute for Local Government Studies, Copenhagen, Denmark
1995-2002: Postdoctoral Fellow, School of Physics, The University of Sydney, Australia
1991-1995: Research Assistant, Institute for Geodynamics, Bonn University, Germany
1993-1994: Contract Researcher for the Federal Parliament, Bonn, Germany
1990-1991: Contract Researcher for the State Ministry for Building and Dwelling of North-Rhine-Westphalia, Düsseldorf, Germany

Chief Investigator. DP - Overall coordination of technical input during Development Phase. Overall project vision and technical guidance. OP - troubleshooting and support for testing of MRIO Reconciliation Engine.

 



Dr Thomas Wiedmann
CSIRO, CSOF6M

Dr Wiedmann joined CSIRO Ecosystem Sciences in April 2011 as a Senior Research Scientist.
Dr Wiedmann manages the Urban Futures Analysis project which is part of the Integrated Carbon Pathways project, one of the CSIRO strategic priorities.
Dr Wiedmann has a long-standing expertise in the development and application of environmental input-output analysis in the fields of footprint analysis (carbon/energy/water), industrial ecology and sustainable consumption and production.
Dr Wiedmann's previous affiliation was with the Stockholm Environment Institute at the University of York, United Kingdom (UK), where he employed environmental input-output modelling for the analysis and quantification of impacts associated with household consumption and international trade.
Dr Wiedmann has coordinated a number of research projects funded by the European Commission and the UK and Australian Governments. He led a research project that produced the first time series of the UK's national carbon footprint.
Academic qualifications
  • Diploma (Master of Science) in Chemistry from the University of Ulm, German
  • Doctor of Philosophy in Analytical and Environmental Chemistry, also from the University of Ulm, Germany.
 
Dr Wiedmann has published over twenty peer-reviewed journal articles as first or second author.
In 2009, he was the guest editor of a special issue of the journal Economic Systems Research on 'Carbon Footprint and Input-Output Analysis'.
He is also a member of the 'Methodology' Technical Working Group of the Greenhouse Gas Protocol Product/Supply Chain Initiative.


OP Coordination of technical review and user testing during Operational Phase.
DP Integration of work flows, concordance tables and codes to create automated data feeds at the national level, and for inter-regional trade flows. OP – Troubleshooting and upkeep of the national/state IO data feeds and end user support. Testing of Virtual Laboratory functionality through case studies on urban sustainability and hinterland teleconnections.



Dr Chris Dey
Uni of Sydney, 
Christopher Dey is a Senior Research Fellow in the Integrated Sustainability Analysis (ISA) team in the School of Physics at the University of Sydney. His research interests are broadly in renewable energy and sustainability analysis. His sustainability analysis work concerns incorporating physical and social indicators into the macro economic structure of economies, as provided by input-output analysis. He has a PhD from the University of Sydney. He teaches energy and environmental science courses in the Bachelor and Masters of Environmental Science degrees.

OP - Testing of Virtual Laboratory functionality through case studies on energy, water and greehouse gas emissions.



Dr Arne Geschke
University of Sydney
Dr Arne Geschke is a Post-Doctoral Researcher at the Integrated Sustainability Analysis research group in the School of Physics at the University of Sydney. His main research interests include large-scale global input-output analysis, the use of high-performance optimisation routines for input-output analysis, global sustainability assessment and environmental-economic impact assessment.

Arne finished his Phd in 2012 during which he developed large parts of the methodology that will be applied in the Industrial Ecology Virtual Laboratory. He presented his research results at various international conferences and has co-authored more than 10 peer-reviewed journal articles so far. Arne has also provided reviewing services to Economic Systems Research and Industrial Ecology.

In the Industrial Ecology Virtual Laboratory, Arne will supervise the deployment of the core infrastructure on the NeCTAR Research Cloud and ensure the compatilibity of the different moduls that will be provided by the partner organisations.






Prof Richard Stuetz,
UNSW, Lvl E, DP (0.04 FTE): Prof John Yearwood, Uni of Ballarat, OP (0.03 FTE); Prof Paul Lant, Uni of Qld, DP & OP (0.05 FTE): DP & OP - Project guidance on technical aspects of the data and systems integration.
Integration of MRIO Reconciliation Engine; Integration of Entire Workflow

 
Dr Julien Ugon,
Uni of Ballarat, DP & OP (0.1 FTE); Dr Dean Webb, Uni of Ballarat, A6, DP (0.4 FTE): DP - Integration of the optimisation routines for balancing the Mother and Children MRIO tables. OP - Trouble-shooting, infrastructure improvement, finalisation of documentation materials.

 
Dr. Peter Vamplew,
Uni of Ballarat, Lvl C6 OP (0.03 FTE):  Define and advise on operational and quality requirements.
Integration of User Interface tools


 
Dr Dean Webb,
Uni of Ballarat, Lvl A6, DP (0.48 FTE) & OP (0.14 FTE): DP - Integration of interstate trade data. OP - Trouble-shooting , infrastructure improvement, finalisation of documentation materials

 
Dr Steven Kenway,
Uni of Qld, Lvl A6 DP & OP (0.25 FTE); Dr Joe Lane, Uni of Qld, Lvl A6, DP (0.1 FTE); Dr Peter Daniels, Griffith Uni, Lvl C6, DP & OP (0.11 FTE); Lavinia Poruschi, Griffith Uni, RA Grd2 DP (0.61 FTE); Assoc Prof Iain MacGill, UNSW, Lvl D2, DP(0.04 FTE) & OP (0.08 FTE): DP – Integration of work flows, concordance tables and codes to create automated data feeds for sub-state input-output tables. OP – Troubleshooting/ upkeep of the sub-regional IO and ABS water/energy data feeds, and end user support. Testing of Virtual Laboratory functionality through case studies on the water-energy-sustainability nexus, urban systems sustainability & policy implications of MRIO accounting.


 
Dr Steven Kenway,
Uni of Qld, Lvl A6 DP & OP (0.25 FTE); Prof John Boland, Uni of SA, Lvl E, DP & OP (0.02 FTE); Christian Reynolds, Uni of SA, Lvl B2, DP (0.1 FTE): DP – Integration of work flows, concordance tables and codes to create automated data feeds for waste generation and processing. OP – Extraction of an Australian Waste-Input-Output model. Troubleshooting and upkeep of the Waste sector data feeds and end user support. Testing of Virtual Laboratory functionality through case studies on industrial symbiosis and other waste management approaches.
Data streams - Environmental extensions


 
Dr Joe Lane,
UQ, Lvl A6, DP (0.4 FTE); Dr Hazel Rowley, UNSW, Lvl B, DP (0.75 FTE): DP – Integration of work flows, concordance tables and codes to create automated data feeds for ABS water and energy accounts, greenhouse gas emissions, toxic and other emissions, LCA data, and environmental footprint models. OP - Troubleshooting and upkeep of the environmental extensions data feeds and end user support. Testing of VL functionality through case studies on industrial/corporate LCA and footprint applications.


 
Mr Jim West,
CSIRO, CSOF5, DP (0.37 FTE) & OP (0.16 FTE); Dr Stephen Moore, UNSW, Lvl C6, OP (0.08 FTE): DP – Work flows, concordance tables and codes to create automated data feeds for Materials Flow data and accounts. OP – Troubleshooting and upkeep of the Materials Flow data feeds and end user support. Testing of Virtual Laboratory functionality through case studies on material footprinting of urban systems and consumption.
Additional user testing during Operational Phase

 
Dr Robert Crawford,
Uni of Melb, Lvl B6, OP (0.4 FTE): OP – Testing of Virtual Laboratory functionality through case studies on architecture, construction and transport.


 
Dr Stuart Khan,
UNSW, Lvl C6, OP (0.08 FTE): OP – Testing of Virtual Laboratory functionality through case studies on hybridisation of sustainably assessment with approaches for human health/environmental risk assessment.


 
Assoc Prof Greg Leslie,
UNSW, Lvl D4, OP (0.08 FTE): OP – Testing of Virtual Laboratory functionality through case studies on resource recovery from municipal wastewater systems.

University of Sydney Project Team


Mr Neal Anderson
Project Manager
Information Communication and Technology, the University of Sydney

Neal has worked in the IT industry since 1999 in a variety of roles from business analyst programmer, project manager, and currently is the Programme and project manager for externally funded EResearch projects.

He has been employed at the University of Sydney since 2007, originally working on various Human Resources application projects, and has been involved in several ANDS/NecTAR funded projects since late 2011.

ANDS projects
AP24 – Brain and Mind Research Institute Application
DC2C – NSW Tardis node
DC2D – Agriculture and Ecology Data Capture
DC2F – MyResearchData
NeCTAR projects – IT Project Manager
NeCTAR Characterisation Virtual Laboratory – Atom Probe
NeCTAR Virtual Laboratory, Industrial Ecology



Mr Zhuoyang Chen

Business Analyst
Information Communication and Technology, the University of Sydney.


Mr Chen has graduated from the University of Sydney and recently employed by the University to assist on University research projects.  Previous to this employment, Mr Chen has worked in many IT and telecommunication engineering industries as an intern, such as General Electic, Blue Point and Telstra.

Mr Chen also works on other ANDS projects as a business analyst to develop business process, gather business requirements for business sponsors and core business users.


The project includes:
BMRI application – AP24
Metadata Store – MS20
NECTAR Industrial Ecology
DC2B – SHED

Key Technologies & Key Features


The Key features of Nectar industrial ecology project’s product is designed to ensure all project business requirements will be met in a cost effective and user friendly way. The proposed process is to have all software applications, data reconciliation engine and analysis tool box integrated in a single cloud environment. Project team user can login the system to convert raw data into MRIO model, or login from the website to use the data model and analysis results. Other users shall also be able to log into the system to design the MIRO model, create projects, upload datasets and perform MRIO analysis.

The system hence will have two ends, one at the back that project user can access the server from their local machine and perform internal user tasks such as data pre-process and data reconciliation The other end of where most external users use from a web interface to design MIRO model, perform MIRO analysis and saves their results in a project.

However, the reconciliation engine is defined unnecessary to be included in the cloud. Therefore the system is created to trigger the engine for data reconciliation once raw data is pre-processed and ready to be reconciled.

Key features include:
1.    Ability to upload raw data.

2.    Ability to pre- process raw data.

3.    Ability to reconcile pre-processed data.

4.    Ability to store created MIRO model.

5.    Ability to design MIRO model from an Australian Map.

6.    Ability to upload dataset for MIRO analysis.

7.    Ability to enable MRIO analysis.

8.    Ability to create project (project includes MRIO model used, dataset used, analysis method and analysis result) in the system.

9.    Ability to review project information.


The algorithm used to perform MRIO analysis, pre- process is offered by Mat Lab, the actual system that will provide online graphical user interface to perform MIRO analysis will be developed by INTERECT. This blog will be updated once a final design solution is created by the developer.

Project Output & Our Primary Product


Recent research at the University of Sydney and the University of Ballarat has produced methods for advanced computation and automation that enable the rapid and cost-effective deployment of harmonised, large-scale, detailed MRIO systems. These concepts and methods have been trialled with the research teams in this application. Following recent workshops, the participants agreed that (a) these trials were successful; (b) the data infrastructure of the teams could be united in a way that would maximise the benefits for all; and (c) the codes and procedures are now sufficiently proven to be leveraged onto a jointly operated large-scale computational platform.
In particular, any researcher using the Industrial Ecology Lab would be able to: undertake a wide range of environmental analyses at unprecedented regional and industry sector detail, based on timely data, access, process and analyze long and continuous historical time series, and benefit from comprehensive information, increasing the reliability of analytical results.
 
The Laboratory will have numerous additional uses beyond the field of environmental sustainability. It will deliver significant improvements to the predictive economic capabilities of Computable General Equilibrium (CGE) modelling, and to support research into socio-economic indicators such as employment, health and inequality.
 
This Industrial Ecology Lab eResearch infrastructure will greatly accelerate, streamline and synergise the input-output work undertaken across a number of research organisations across Australia. It will enable this by delivering substantial improvements in the efficiency and quality of environmentally-extended MRIO data that can be generated at a sub-national level. The result will be an integrated environmental-economic research tool that provides the most comprehensive available picture of the Australian economic and environmental structure, and enables Australian researchers to undertake ground-breaking sustainability analysis and assessments with unprecedented detail, accuracy, speed, and relevance.

 
Broader alignment with national research priorities and infrastructure is demonstrated by the interest of CSIRO  CSIRO believe that the Industrial Ecology Lab provides an exceptional opportunity to link (MR)IO analysis to other integrated assessment models for assessing the sustainability implications of different scenarios for future economic and urban development in Australia. The Industrial Ecology Lab project is also strongly supported by governmental institutions such as the ABS and the Department of Climate Change and Energy Efficiency (DCCEE). The ABS charter includes research that (a) supports strategic policy making, and (b) provides data to underpin much applied research carried out by other institutions. The ABS is increasingly engaging in research on emissions and extractions (e.g. water use) embodied in the final demand from various sectors of the economy. The DCCEE and many other government departments are interested in modelling the implications of the carbon tax on economies at different scales. The outputs of the IE Lab are highly relevant for such modelling.
 

 
The business objectives are:
  • To provide automated process of raw data pre- processing, data reconciliation and data model analysis.
  • To provide mechanism for data management, assessment methods control and user management.
  • To provide tools for environmental researchers to improve research efficiency.
  • To provide high quality system integration hence reduce system errors along the way of transferring raw data into actual statics.
  • To provide searchable research datasets and online analysis tool box for researchers to encourage the study using MRIO model.

Key success factor


The Nectar project brings huge benefits to the society, in order to achieve the final result and gain actual project benefit from the project success, a series factors is used to measure project progress. The project success is based on all project deliverables are completed and accepted by all stakeholders. The project stakeholders includes Prof Mandred Lenzen, University of Sydney, developer team from intersect, project management team from ICT, the University of Sydney, Dr Thomas Weidman, Prof Richard Stuetz – UNSW and Dr Arne Geschke, the University of Sydney.

Evidence of project success includes:
1. Deployment of raw data repository structure in NecTar cloud. 
2. Initial integration of automated data feed for state level IO tables.
3. Initial integration of automated data feed for sub-state level IO tables.
4.  Initial integration of automated data feed from disaggregated waste sector data.
5.  Initial integration of automated data feed for ABS water & energy accounts.
6. Initial integration of automated data feed for Materials Flow Accounts data.
7. Construction of standalone ‘Peripherals Repository’ for miscellaneous environmental - extensions data
8.  Integration of automated data feed from ‘Peripherals Repository.
9. Deployment of the MRIO optimiser and integration of automated data feeds for inter-regional commodity trade.
10.  Initial deployment of analysis toolbox.
11.  Deployment of Share Interface.
12. Completed integration of automated data feed for state level IO tables.
13. Completed integration of automated data feed for sub-state level IO tables.
14. Completed integration of automated data feed from dis aggregated waste sector data.
15. Completed integration of automated data feed for ABS water & energy accounts.
16. Completed integration of automated data feed for Materials Flow Accounts data.
17. Completed integration of automated data feed from ‘Peripherals Repository.
18. Finalisation of optimiser integration.
19. Completion and deployment of entire Mother MRIO table time series in cloud.
20.  Final deployment of analysis toolbox and visualisation tools.


Target Customers

 
 
The Industrial Ecology Lab will be used by a minimum of 65 researchers from the eight research groups participating in this proposal. In addition, we estimate that there are at least as many researchers in other Australian groups who are actively interested in using IO tables for environmental and/or non-environmental analysis. As evidence of this, letters in support of this project have been received from 10 groups willing to actively contribute to the infrastructure development through the provision of data, insight and/or guidance, and another 13 groups interested in using the final infrastructure product. Furthermore, we expect that this eResearch infrastructure will significantly increase the demand in Australia for research and applied use of environmentally-extended IO tables, thereby greatly increasing the size and breadth of the interested research community. Finally, there have been numerous IO studies on Australian issues authored by researchers overseas, and it is expected that a proportion of users will come from outside of Australia.
 
 
Environmentally extended MRIO infrastructure will be of interest to researchers in the fields of ecological and environmental economics, who typically use IO data in analyzing case studies on local, regional and national consumption patterns and trends. The other main group of interested research disciplines spans industrial ecology, cleaner production, engineering, environmental science and environmental management. Typical applications in these areas use environmental (carbon, water, ecological) footprinting, or full life cycle assessment (LCA) across a range of products and services. Such research tools are also used by environmental consultants, governments, public utilities and corporations.
 
The target customers for this project are mainly classified as the following:

General users of input – output data
Australian researchers in input-output analysis are challenged with a severely fragmented and mis-aligned data foundation, and have to resort to disconnected and uncoordinated approaches to their analysis. In search of collaborative synergies that would enhance their collective efforts, a number of these researchers recently met and agreed that the following criteria would enable meaningful use of environmentally-extended IO analysis:

1. Assessment methods need to be free of systematic error, be comprehensive in their  coverage, and consistent in comparisons between different indicators of sustainability;

2. Assessment methods need to be flexible, and applicable to a wide range of  case studies; Supporting databases need to contain a high level of detail, both in geographical as well as in industry sector, or product terms; Source data and analyzed results/output need to both be available in a timely manner; Users need manageable, rapid and tailored access to large-scale data volumes; and

3. Users need straightforward and instructive guidance through complex methods and  calculations.
 
Traditionally, generating and compiling IO tables into a multi-regional framework requires significant manual labour and many years of time. This is because of the scale and complexity of the data demands and the challenges with data availability. For this reason, sub-national MRIO tables are extremely rare, and where they do exist they are typically not updated on a regular basis even when newer national level data are delivered. Until recently, the systemic framework and tools required to optimise the process of generating MRIO tables have not been available.

LCA community
The broader LCA research community predominantly uses process inventory data (based on mass/energy balances rather than based on input-output data) to support their analysis, because of concerns that conventional input-output tables that are typically (a) too aggregated (both spatially and in terms of the number of industry sectors), and (b) too out of date, to provide meaningful comparisons in most cases. A small number of LCA practitioners have adopted hybrid methods that utilize the strengths of both process-based and IO-based inventory data. However this approach has not yet been widely adopted, due largely to the limitations of currently available IO data. Notwithstanding these limitations, it is widely recognized that input-output based approaches for LCA data have the fundamental advantage that they are free from truncation errors, cover entire supply chains underlying products purchased by final consumers, and provide a consistent (in fact, infinite) system boundary.
 
It is therefore clear that input-output based LCA would be more widely adopted, and the benefits more widely realised, if input-output tables were (a) updated regularly in a timely manner; (b) defined at a much higher level of spatial and industry disaggregation; (c) linked to the full range of environmental interventions of relevance to LCA; and (d) easily accessible. This need will be accentuated by the rapidly increasing intensification of LCA data collection efforts in Australia, being driven by growing pressures on Australia’s export industries to provide robust and comprehensive environmental information to support product evaluations.
 
Footprinting researcher
Input-output data is more commonly used for environmental footprinting analysis because of the lesser need for diverse datasets, and the higher priority given to system boundaries free of inconsistencies. The interest in using input-output based footprinting approaches is increasing with the growing desire to provide meaningful comparisons and identification of trade-offs across multiple sustainability indicators, such as energy, water, and greenhouse gas emissions. Also of benefit is that input-output approaches can be applied identically to case studies ranging from households, suburbs, cities, regions, to nations, and the world. Static, comparative studies as well as scenario analyses are possible. Users simply need to formulate their case study in terms of a consumption bundle, which then feeds into the IO calculus.
 
A number of trends are increasing the demand for environmental footprinting analysis. The implementation of carbon pricing regimes, and ongoing debates about the allocation of responsibility for carbon emissions growth, is fuelling interest in carbon footprint calculations at the research and policy levels. Corporate interest is also growing rapidly as companies move to understand their carbon price exposure through the supply chain. Growing awareness of global water constraints is driving interest in water footprinting based research. Interest in these environmental metrics is also being fuelled by the increased desire for simplified environmental information to be provided at the point of purchase at levels ranging from grocery purchases, to large scale industrial procurement.

Project Description


The concept of environmental or carbon footprint is familiar to most Australians. Over the past decade, the footprint concept has become a powerful framework in which to analyse and describe the indirect, often invisible, impacts of our economic activity on the environment. This becomes increasingly useful as globalisation changes out economy. Goods and services now often pass through extended production and supply chains before reaching the end consumer, involving environmental impacts at each transaction point along the way. Producing a car, for example, may involve iron ore mining in Western Australia, car assemblage in Japan, electronic parts imported from China, and thousands of other inputs. At first sight, analysing the environmental implications of such complex supply – chains seems impossibly complicated.

However, researchers from nine collaborating Australian institutions will establish ground – breaking electronic infrastructure to address this challenge. They will create a virtual “Industrial Ecology Laboratory” that can unravel the complex environmental and economic interactions of modern Australia. This virtual laboratory will dramatically enhance Australia’s analytically capabilities in life-Cycle assessment (LCA), carbon foot printing, water foot printing and other approaches to environmental impact assessment. It will also improve our capacity for modelling the future effects of changes in economic and social policy.

The industrial Ecology Lab will integrate a diverse set of data streams with a calculation engine that can rapidly react as new information becomes available, and this capability will mark a new era in sustainability research. The industrial Ecology Laboratory will significantly boost Australia’s ability to make strategic decisions that deliver a more environmentally, socially, and economically sustainable economy.

A number of researchers are already using the industrial Ecology Lab for their purposes, for example in studies on future biofuel industries for Australia and on industrial symbiosis and material efficiency.  The IE Lab is also collaborating with the Jolliet Lab at the School of Public Health of the University of Michigan. For further details on the Industrial Ecology Lab, follow this link.

The Industrial Ecology Lab concept was conceived by Prof Manfred Lenzen, of ISA at the University of Sydney. The constituency of the original Industrial Ecology Lab was established at two meetings, one on Stradbroke Island, Qld, 25 – 30 April 2012 and on in Bundanoon, NSW, 18 – 20 February 2013. The IE Lab’s architecture and infrastructure will be developed throughtout 2013 under the lead of Prof Manfred Lenzen. From 2014 onwards, the Lab will be operated under the lead of Prof Tommy Weidman of the University of New South Wales. The industrial Ecology Laboratory acknowledges funding from the NeCTAR project. NeCATR is an Australian Government project conducted as part of the Super Science initiative and financed by Education Investment Fund.

Currently the project team has almost completed the requirements and process gathering, and will soon start to document user stories base on the business requirements for the developer.