Email not displaying correctly? View in a Web Browser

IELab Newsletter September 2018

Issue 3

Dear IELab CommunityMany exciting developments have taken place in the last year on the IELab and it is high time for another newsletter to let everyone know about it. Read below about new and updated datafeeds, new tools on the IELab Portal, new publications and much more!

We hope you enjoy reading this newsletter and we'd love to get your feedback through the IELab Forum on the Hub.

Yours sincerely, The IELab Steering Committee
IELab Webinar on 3rd October 2018IELab researchers from The University of Queensland will hold a webinar on IO/IELab material, water and energy analysis with the aim to inform about recent developments and connect other IELab researchers working in similar areas. IELab researchers from UNSW Sydney, The University of Sydney, Griffith University, and the Commonwealth Scientific and Industrial Research Organisation (CSIRO) will present some recent developments and research outcomes from the IELab.

The webinar will be held on 3rd October 2018 from 2-4:30pm AEST.

For details please contact Noyon Nazmul Islam
ECE ToolThe Federal Department of the Environment recently released the National Carbon Offset Standard (NCOS) for Precincts with new guidelines for carbon neutral precincts. To date, there are no tools in the market directly targeting assessments under the NCOS Precincts (though certifications can be obtained through NABERS and GBCA). Furthermore, accounting for the multitude of contributions from supply chains is usually a complicated and a time-intensive task using the bottom-up approach. Alternatively, a top-down approach can quantify Scope 3 emissions easily and rapidly by using Australia-specific input-output data, making it a more efficient technique.

Based on the top-down approach, the Embodied Carbon Explorer (ECE) online tool has been developed specifically to enable a rapid evaluation of embodied (Scope 3) carbon emissions for a project at any level (e.g. precinct, building, organisation, material, etc.). It is well suited for a quick screening assessment before full, detailed assessments are undertaken. The ECE tool i) quantifies the total impacts related to project life, ii) identifies main contributors to the total impacts and iii) provides National Carbon Offset Standard-suitable functionality. Any contributor (e.g. product or service) can be tested for its Scope 3 emissions in accordance with the NCOS materiality threshold, and those playing a relevant role can be selected to be reported.

The ECE tool supports the realisation of the NCOS standard and has the theoretical potential to realise carbon neutrality for all new precinct developments and refurbishments. The ECE tool was developed by the Integrated Carbon Metrics (ICM) project (RP2007) and is hosted on the IELab Portal



A step-by-step tutorial for ECE Tool Analysis was developed and the tool will soon be rolled out for testing by industry users.
Updated Analysis on the IELab PortalThe Analysis capability on the IELab Portal has been updated with IO and greenhouse gas emissions data to 2015. The updated version of the underlying base table is now available for use - it’s titled ECE 2014-2015 AUS. To use it, create a new Analysis in your respective project, search for ECE and then select it in the table.

The 2015 GHG data for the 344 sectors of this table were updated by Soo Huey Teh and are also available as a CSV file on request.
Household expenditure datafeed completedTwo important datafeeds for household expenditure data were recently completed by Futu Faturay from ISA at the University of Sydney.

ABS6530HESr_StateGCCA.m

This data feed writes constraints for data from the ABS Household Expenditure Survey (HES) for 2009/10 and 2015/16 (Catalogue Number 6530.0, http://www.abs.gov.au/ausstats/abs@.nsf/mf/6530.0). It is a very important feed for any MRIO base table and analysis including states/territories and larger cities. Raw data are taken from “65300DO013_201516 Household Expenditure Survey, Australia: Summary of Results” and include Detailed expenditure items for Greater Capital City Areas (Table 13.3A) and for States (Tables 13.9A). The data feed also processes relative standard error data from the ABS files (Tables 13.3B and 13.9B).

ABS6530HESr_SA4.m

This data feed writes constraints for data from the ABS Household Expenditure Survey (HES) for 2009/10 and 2015/16 at the level of SA4 regions (Catalogue Number 6530.0). It is a very important feed for any MRIO base table and analysis including SA4 regions. Raw data for this feed were purchased from the ABS and include 2009/10 and 2015/16 Detailed expenditure items based on 87 SA4s regions, covering all of Australia (ASGS 2011). The data feed also processes relative standard errors for these data.

The completion of the HES datafeeds was sponsored by UNSW Sydney.
Greenhouse Gas datafeed updated (ANZSIC)UQ researchers Ka Leung Lam and Joe Lane updated the GHG datafeed on the IELab. This data feed provides constraints data from the Australian Greenhouse Emissions Information System (AGEIS) database. The ANZSIC-classified greenhouse gas emissions data are available at the state and national levels from 2000 to 2015 for carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and carbon dioxide equivalents (CO2-eq).IELab used to develop a semi-automated hybrid LCI modelResearchers at The University of Melbourne have recently developed a model enabling semi-automation of the path exchange method of hybridisation. The model, which automates various components of the approach, is described in a recent journal paper published in the International Journal of LCA (available here or here). It includes a series of inter-related modules developed using object-oriented programming in Python. Individual modules have been developed for each task involved in compiling a hybrid LCI, including data processing, Structural Path Analysis, and path exchange or hybridisation.



Figure: General wire diagram of the automated path exchange hybrid model

The model is currently being used to develop a comprehensive database of hybrid coefficients for building materials, using input-output data in the form of a supply-use table collected from the IELab, and AusLCI as its process database. Full automation of the node correspondence process, where nodes relating to identical processes across process and input-output data are identified, remains a challenge. This is due to varied dataset coverage, different levels of disaggregation between data sources, and lack of detail of activities and coverage for specific processes. However, by automating other aspects of the compilation of a hybrid LCI, the comprehensive supply chain coverage afforded by hybrid analysis can be made more accessible to the broader LCA community. A detailed video walkthrough of the model is available in open-access on Figshare. This work shows some of the broad potential of the IELab as well as its critical importance to the development of various LCI approaches beyond pure input-output analysis.
IELab for teaching: Student Assignments entering 2nd yearThe IELab Portal is increasingly being used for teaching by UNSW and the Universities of Sydney and Queensland. The Analysis function on the IELab allows for a quick and complete assessment of carbon footprints (scope 3 emissions) and other indicators, based on expenditure data. Currently about 200 students are using the IELab for an assessed assignment which is worth a considerable share of their total course mark. IELab publicationsIELab researcher have now produced more than 50 publications, most of them journal papers! These publications are either about IELab developments or have used IELab data.

The full list of IELab publications is appended at the end of this newsletter and is also available online at the hub's citations and publications.

From there, all citations can be exported in BibTex or EndNote format!
Featured publicationVery recently, this study about the economic impacts of Cyclone Debbie has been published, demonstrating the exemplary capability of the IELab to cater for sub-national IO analyses.

Lenzen, M., Malik, A., Kenway, S., Daniels, P., Lam, K. L. and Geschke, A. (2018) Economic damage and spill-overs from a tropical cyclone. Nat. Hazards Earth Syst. Sci. Discuss., 2018, 1-28. https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2017-440
Abstract: Tropical cyclones cause widespread damage in specific regions as a result of high winds, and flooding. Direct impacts on commercial property and infrastructure can lead to production shortfalls. Further losses can occur if business continuity is lost through disrupted supply of intermediate inputs from, or distribution to, other businesses. Given that producers in modern economies are strongly interconnected, initially localised production shortfalls can ripple through entire supply-chain networks and severely affect the regional and wider national economy. In this paper, we use a comprehensive, highly disaggregated, and recent multi-region input-output framework to analyse the impacts of Tropical Cyclone Debbie. In particular, we show how industries and regions that were not directly affected by storm and flood damage suffered significant job and income losses. Our results indicate that the disaster resulted in the direct loss of about 7,000 full-time equivalent jobs and 2 billion AUD of value added, and an additional indirect loss of 5,000 jobs and 1 billion AUD of value added. We are able to conduct this assessment so rapidly due to the timely data provision and collaborative environment facilitated by the Australian Industrial Ecology Virtual Laboratory (IELab).
Upcoming publicationsThese IELab-related papers are forthcoming (first author and draft title):
• Rachel Reyes: Gender Footprint study
• Futu Faturay: TaiwanLab earthquake and cyclone disaster study
• Takako Wakiyama: Food waste & loss study for Japan (Japan IELab)
• Elijah Tyedmers: Cook Islands sustainability study
Australia-Indonesia Virtual LabIT News reports on ISA's DFAT grant to promote the Australia-Indonesia Virtual Lab developed by Futu Faturay and Manfred Lenzen at the University of Sydney, in collaboration with the Indonesian Ministry of Finance. The virtual lab will be a collaborative online environment in which Indonesian and Australian researchers and analysts can share their data, tools and insights on sustainable development issues of interest to both countries.IELab as a data platform for researchersAre you planning your next research project? Are you advising research students considering their project or PhD options? The comprehensive datasets and analytical tools from the IELab can give you a head start, providing access to data and allowing researchers to get straight into analysis, rather than spending time getting data from scratch or chasing permissions for existing datasets.

One example are the official greenhouse gas emissions data from the Australian Greenhouse Emissions Information System (AGEIS) from the Federal Department of the Environment). Retrieving data from this platform is notoriously labour intensive and can be one of the most time consuming and frustrating data collection tasks environmental researchers in Australia may face.

IELab software engineer and IT specialist Daniel Micevski developed an algorithm that allows for GHG data to be scraped automatically from the AGEIS website. Using this tool, it was possible to retrieve time series of Australian GHG data from 1990 to 2016 in both ANZSIC and NGGI classification. The datasets are available to registered IELab users on request through the ticket system. The data resources of the IELab are giving researchers and students access to the numbers they need to answer their research questions. Check out the possibilities that IELab offers. Register on the website, contact us if you have specific questions or submit a ticket if you encounter a problem.
IELab user feesOperating and maintaining the IELab is associated with considerable costs. Even though the managing teams at UNSW Sydney and the University of Sydney manage to internalise some of these costs or compensate them with project funds, there still is a large funding gap which prevents us from operating IELab as professionally and smoothly as it should be. We therefore want to say a big Thank You to all users who have paid their user fee! For those who haven’t done so yet, please pay at any time – your access will be valid for 12 months from the date you pay the fee.

Fees are at a very low level and remain unchanged this year:
• Individuals $100 for one year
• Universities $500 for one year for 1-5 users; then $100/yr for each additional user
• Consultancies/companies $2000 for one year, independent on the amount of usage


Researchers should please continue to include future IELab user fees in any funding proposals they prepare!
User photosThe IELab is faceless without your photo! Communication via the IELab Forum becomes much more human when members upload their photos. Please upload yours today on your IELab profile.

All users, please make sure you are subscribed to the IELab Forum!
Receiving the IELab NewsletterIf this newsletter was forwarded by someone else to you and you would like to receive it directly, then please register on the IELab Hub. Set the rules of your email account so that it allows emails from …@ielab.info to avoid the newsletter going into your Junk folder. APPENDIX – All IELab-related PublicationsThe full list of IELab publications is also available online at the hub's citations and publications.

Akizu-Gardoki, O., Bueno, G., Wiedmann, T., Lopez-Guede, J. M., Arto, I., Hernandez, P. and Moran, D. (2018) Decoupling between human development and energy consumption within footprint accounts. Journal of Cleaner Production, 202, 1145-1157. http://www.sciencedirect.com/science/article/pii/S0959652618325848

Baynes, T. M., Crawford, R. H., Schinabeck, J., Bontinck, P.-A., Stephan, A., Wiedmann, T., Lenzen, M., Kenway, S., Yu, M., Teh, S. H., Lane, J., Geschke, A., Fry, J. and Chen, G. (2018) The Australian industrial ecology virtual laboratory and multi-scale assessment of buildings and construction. Energy and Buildings, 164, 14-20. https://doi.org/10.1016/j.enbuild.2017.12.056

Bontinck, P.-A., Crawford, R. H. and Stephan, A. (2017) Improving the Uptake of Hybrid Life Cycle Assessment in the Construction Industry. Procedia Engineering, 196, 822-829. http://www.sciencedirect.com/science/article/pii/S1877705817331338

Chen, G., Hadjikakou, M. and Wiedmann, T. (2017) Urban carbon transformations: unravelling spatial and inter-sectoral linkages for key city industries based on multi-region input–output analysis. Journal of Cleaner Production, 163, 224-240. http://dx.doi.org/10.1016/j.jclepro.2016.04.046

Chen, G., Hadjikakou, M., Wiedmann, T. and Shi, L. (2018) Global warming impact of suburbanization: The case of Sydney. Journal of Cleaner Production, 172, 287-301. https://doi.org/10.1016/j.jclepro.2017.10.161

Chen, G., Wiedmann, T., Hadjikakou, M. and Rowley, H. (2016a) City Carbon Footprint Networks. Energies, 9, 602. http://dx.doi.org/10.3390/en9080602

Chen, G., Wiedmann, T., Wang, Y. and Hadjikakou, M. (2016b) Transnational city carbon footprint networks – Exploring carbon links between Australian and Chinese cities. Applied Energy, 184, 1082-1092. http://dx.doi.org/10.1016/j.apenergy.2016.08.053

Crawford, R. H., Bontinck, P.-A., Stephan, A. and Wiedmann, T. (2017) Towards an Automated Approach for Compiling Hybrid Life Cycle Inventories. Procedia Engineering, 180, 157-166. https://doi.org/10.1016/j.proeng.2017.04.175

Crawford, R. H., Bontinck, P.-A., Stephan, A., Wiedmann, T. and Yu, M. (2018) Hybrid life cycle inventory methods – A review. Journal of Cleaner Production, 172, 1273-1288. https://doi.org/10.1016/j.jclepro.2017.10.176

Ely, R. N., Carneiro, D., Chen, G. and Wiedmann, T. (2015) Carbon Footprinting the Gold Coast City consumption of goods and built environment products. 23rd International Input-Output Conference of the International Input-Output Association (IIOA), 22-26 June 2015. Mexico City. https://www.iioa.org/conferences/23rd/papers.html

Faturay, F., Lenzen, M. and Nugraha, K. (2017) A new sub-national multi-region input–output database for Indonesia. Economic Systems Research, 29, 234-251. http://dx.doi.org/10.1080/09535314.2017.1304361

Fry, J., Lenzen, M., Baynes, T., West, J. and Geschke, A. (2017) Constructing a time-series of physical input-output tables for Australia. Economic Systems Research, Revision stage.

Fry, J., Lenzen, M., Giurco, D. and Pauliuk, S. (2016) An Australian Multi-Regional Waste Supply-Use Framework. Journal of Industrial Ecology, 20, 1295-1305. http://dx.doi.org/10.1111/jiec.12376

Fry, J., Lenzen, M., Giurco, D. and Pauliuk, S. (2018a) Australian Regional Waste Footprints. In, Unmaking Waste in Production and Consumption: Towards the Circular Economy, 179-190. https://www.emeraldinsight.com/doi/abs/10.1108/978-1-78714-619-820181015

Fry, J., Lenzen, M., Jin, Y., Wakiyama, T., Baynes, T., Wiedmann, T., Malik, A., Chen, G., Wang, Y., Geschke, A. and Schandl, H. (2018b) Assessing carbon footprints of cities under limited information. Journal of Cleaner Production, 176, 1254-1270. https://doi.org/10.1016/j.jclepro.2017.11.073

Geschke, A., Wood, R., Kanemoto, K., Lenzen, M. and Moran, D. (2014) Investigating alternative approaches to harmonise multi-regional input-output data. Economic Systems Research, 26, 354-385. http://dx.doi.org/10.1080/09535314.2014.937069

Lenzen, M., Geschke, A., Abd Rahman, M. D., Xiao, Y., Fry, J., Reyes, R., Dietzenbacher, E., Inomata, S., Kanemoto, K., Los, B., Moran, D., Schulte in den Bäumen, H., Tukker, A., Walmsley, T., Wiedmann, T., Wood, R. and Yamano, N. (2017a) The Global MRIO Lab – charting the world economy. Economic Systems Research, 29, 158-186. http://dx.doi.org/10.1080/09535314.2017.1301887

Lenzen, M., Geschke, A., Malik, A., Fry, J., Lane, J., Wiedmann, T., Kenway, S., Hoang, K. and Cadogan-Cowper, A. (2017b) New multi-regional input–output databases for Australia – enabling timely and flexible regional analysis. Economic Systems Research, 29, 275-295. http://dx.doi.org/10.1080/09535314.2017.1315331

Lenzen, M., Geschke, A., Wiedmann, T., Lane, J., Anderson, N., Baynes, T., Boland, J., Daniels, P., Dey, C., Fry, J., Hadjikakou, M., Kenway, S., Malik, A., Moran, D., Murray, J., Nettleton, S., Poruschi, L., Reynolds, C., Rowley, H., Ugon, J., Webb, D. and West, J. (2014) Compiling and using input–output frameworks through collaborative virtual laboratories. Science of The Total Environment, 485–486, 241-251. http://dx.doi.org/10.1016/j.scitotenv.2014.03.062

Lenzen, M., Malik, A., Kenway, S., Daniels, P., Lam, K. L. and Geschke, A. (2018) Economic damage and spill-overs from a tropical cyclone. Nat. Hazards Earth Syst. Sci. Discuss., 2018, 1-28. https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2017-440/

Lenzen, M. and Reynolds, C. J. (2014) A Supply-Use Approach to Waste Input-Output Analysis. Journal of Industrial Ecology, 18, 212-226. http://dx.doi.org/10.1111/jiec.12105

Malik, A. (2016) Reply to Lenzen, 2008, JCLEPRO 16, 2018–2035: input–output analysis for island economies. Journal of Cleaner Production, 112, Part 5, 4890-4895. http://dx.doi.org/10.1016/j.jclepro.2015.06.034

Malik, A., Lenzen, M., Ely, R. N. and Dietzenbacher, E. (2014) Simulating the impact of new industries on the economy: The case of biorefining in Australia. Ecological Economics, 107, 84-93. http://dx.doi.org/10.1016/j.ecolecon.2014.07.022

Malik, A., Lenzen, M. and Geschke, A. (2016) Triple bottom line study of a lignocellulosic biofuel industry. GCB Bioenergy, 8, 96-110. http://dx.doi.org/10.1111/gcbb.12240

Malik, A., Lenzen, M., McAlister, S. and McGain, F. (2018) The carbon footprint of Australian health care. The Lancet Planetary Health, 2, e27-e35. https://www.sciencedirect.com/science/article/pii/S2542519617301808

Malik, A., Lenzen, M., Ralph, P. J. and Tamburic, B. (2015) Hybrid life-cycle assessment of algal biofuel production. Bioresource Technology, 184, 436-443. http://dx.doi.org/10.1016/j.biortech.2014.10.132

Reyes, R. C., Geschke, A., Koning, A. d., Wood, R., Bulavskaya, T., Stadler, K., Schulte in den Bäumen, H. and Tukker, A. (2017) The Virtual IELab – an exercise in replicating part of the EXIOBASE V.2 production pipeline in a virtual laboratory. Economic Systems Research, 29, 209-233. http://dx.doi.org/10.1080/09535314.2017.1317237

Reynolds, C. (2015) Chapter 16: Sleep. In: D. McBain, J. Murray and T. Wiedmann, The Sustainability Practitioner's Guide to Social Analysis and Assessment, 174-184, Common Ground Publishing, On Sustainability, Champaign, Illinois, USA. http://onsustainability.cgpublisher.com/product/pub.197/prod.20

Reynolds, C., Agrawal, M., Lee, I., Zhan, C., Li, J., Taylor, P., Mares, T., Morison, J., Angelakis, N. and Roos, G. (2018) A sub-national economic complexity analysis of Australia’s states and territories. Regional Studies, 52, 715-726. https://doi.org/10.1080/00343404.2017.1283012

Reynolds, C., Geschke, A., Piantadosi, J. and Boland, J. (2015a) Estimating industrial solid waste and municipal solid waste data at high resolution using economic accounts: an input–output approach with Australian case study. Journal of Material Cycles and Waste Management, 1-10. http://dx.doi.org/10.1007/s10163-015-0363-1

Reynolds, C. J., Piantadosi, J. and Boland, J. (2014) A Waste Supply-Use Analysis of Australian Waste Flows. Journal of Economic Structures, 3. http://dx.doi.org/10.1186/s40008-014-0005-0

Reynolds, C. J., Piantadosi, J., Buckley, J. D., Weinstein, P. and Boland, J. (2015b) Evaluation of the environmental impact of weekly food consumption in different socio-economic households in Australia using environmentally extended input–output analysis. Ecological Economics, 111, 58-64. http://dx.doi.org/10.1016/j.ecolecon.2015.01.007

Ridoutt, B. G., Hadjikakou, M., Nolan, M. and Bryan, B. A. (2018) From Water-Use to Water-Scarcity Footprinting in Environmentally Extended Input–Output Analysis. Environmental Science & Technology, 52, 6761-6770. https://doi.org/10.1021/acs.est.8b00416

Robson, E. and Dixit, V. (2016) Accounting for Transport Impacts on the Economy: An Integrated Computable General Equilibrium and Transport Model. Paper 16-5035. Proceedings of the 95th Transportation Research Board Annual Meeting, 10-14 January 2016. Washington D.C., USA. http://amonline.trb.org

Rodríguez-Alloza, A. M., Malik, A., Lenzen, M. and Gallego, J. (2015) Hybrid input–output life cycle assessment of warm mix asphalt mixtures. Journal of Cleaner Production, 90, 171-182. http://dx.doi.org/10.1016/j.jclepro.2014.11.035

Schulte in den Bäumen, H., Moran, D., Lenzen, M., Cairns, I. and Steenge, A. (2014) How severe space weather can disrupt global supply chains. Nat. Hazards Earth Syst. Sci., 14, 2749-2759. http://www.nat-hazards-earth-syst-sci.net/14/2749/2014/

Schulte in den Bäumen, H., Többen, J. and Lenzen, M. (2015) Labour forced impacts and production losses due to the 2013 flood in Germany. Journal of Hydrology, 527, 142-150. http://dx.doi.org/10.1016/j.jhydrol.2015.04.030

Stephan, A., Crawford, R. H. and Bontinck, P.-A. (2018) A model for streamlining and automating path exchange hybrid life cycle assessment. The International Journal of Life Cycle Assessment. https://doi.org/10.1007/s11367-018-1521-1

Teh, S. H., Wiedmann, T., Castel, A. and de Burgh, J. (2017a) Hybrid life cycle assessment of greenhouse gas emissions from cement, concrete and geopolymer concrete in Australia. Journal of Cleaner Production, 152, 312-320. http://dx.doi.org/10.1016/j.jclepro.2017.03.122

Teh, S. H., Wiedmann, T. and Moore, S. (2018) Mixed-unit hybrid life cycle assessment applied to the recycling of construction materials. Journal of Economic Structures, 7, 13. https://doi.org/10.1186/s40008-018-0112-4

Teh, S. H., Wiedmann, T., Schinabeck, J. and Moore, S. (2017b) Replacement Scenarios for Construction Materials Based on Economy-wide Hybrid LCA. Procedia Engineering, 180, 179-189. https://doi.org/10.1016/j.proeng.2017.04.177

Teh, S. H., Wiedmann, T., Schinabeck, J., Rowley, H. and Moore, S. (2015) Integrated Carbon Metrics and Assessment for the Built Environment. Procedia CIRP, 29, 480-485. http://dx.doi.org/10.1016/j.procir.2015.02.169

Többen, J. and Kronenberg, T. H. (2015) Construction of Multi-Regional Input–Output Tables Using the Charm Method. Economic Systems Research, 27, 487-507. http://dx.doi.org/10.1080/09535314.2015.1091765

Wang, Y. (2017) An industrial ecology virtual framework for policy making in China. Economic Systems Research, 29, 252-274. http://dx.doi.org/10.1080/09535314.2017.1313199

Wang, Y., Geschke, A. and Lenzen, M. (2015) Constructing a Time Series of Nested Multiregion Input–Output Tables. International Regional Science Review. http://dx.doi.org/10.1177/0160017615603596

Wiedmann, T. (2017) An input–output virtual laboratory in practice – survey of uptake, usage and applications of the first operational IELab. Economic Systems Research, 29, 296-312. http://dx.doi.org/10.1080/09535314.2017.1283295

Wiedmann, T., Crawford, R., Seo, S. and Giesekam, J. (2013) The Industrial Ecology Virtual Laboratory and its application to sustainability and environmental engineering – the case of low carbon living. Sustainable Engineering Society (SEng) 2013 Conference, 18-20 September 2013 National Convention Centre, Canberra, ACT. https://www.engineersaustralia.org.au/ssee-2013-conference

Wiedmann, T. O., Chen, G. and Barrett, J. (2016) The Concept of City Carbon Maps: A Case Study of Melbourne, Australia. Journal of Industrial Ecology, 20, 676-691. http://dx.doi.org/10.1111/jiec.12346

Wolfram, P. and Wiedmann, T. (2017) Electrifying Australian transport: Hybrid life cycle analysis of a transition to electric light-duty vehicles and renewable electricity. Applied Energy, 206, 531-540. https://doi.org/10.1016/j.apenergy.2017.08.219

Wolfram, P. and Wiedmann, T. (2018) Potentials to decarbonize electricity consumption in Australia. In: Ó. Dejuán, M. Lenzen and M. Á. Cadarso, Environmental and Economic Impacts of Decarbonization - Input-Output Studies on the Consequences of the 2015 Paris Agreements, Routledge. https://www.routledge.com/Environmental-and-Economic-Impacts-of-Decarbonization-Input-Output-Studies/Dejuan-Lenzen-Cadarso/p/book/9780415787406

Wolfram, P., Wiedmann, T. and Diesendorf, M. (2016) Carbon footprint scenarios for renewable electricity in Australia. Journal of Cleaner Production, 124, 236-245. http://dx.doi.org/10.1016/j.jclepro.2016.02.080

Yu, M., Wiedmann, T., Crawford, R. and Tait, C. (2017) The Carbon Footprint of Australia's Construction Sector. Procedia Engineering, 180, 211-220. https://doi.org/10.1016/j.proeng.2017.04.180



*) The IELab Steering Committee currently includes Tommy Wiedmann, Manfred Lenzen, Steven Kenway, Tim Baynes, Robert Crawford, Peter Daniels, Christopher Dey and Khanh Hoang.



Share this newsletter

facebook twitter LinkedIN Google+

Visit us on the web at https://ielab.info
The IELab was created by: USYD LSA
The IELab is operated by: USYD

Copyright © 2018 HUB. All Rights reserved.

Contact Us? If you no longer want to receive our newsletter, please unsubscribe.