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Dr Steve Mohr

Biography

Dr Steve Mohr is a Senior Research Consultant, specialising in data analysis, forecasting resource depletion, analytical and numerical modeling, and the evaluation of energy and water savings pilot programs. Steve has a PhD in fossil fuel supply, and has used his Mathematic and Engineering skills to developed Geologic Resource Supply-Demand Model (GeRS-DeMo) which is capable of replicating supply and demand of resources extracted from mining methods and oil and gas from fields. Since working at ISF Steve made publicly available a version of the model:  GeRS-DeMo - or Geologic Resource Supply-Demand Model

Before joining the Institute, Steve worked for Prof. Geoffrey Evans at the University of Newcastle investigating future phosphorus production for the world by country using GeRS-DeMo. Steve also worked with Dr Gavin Mudd at Monash University as part of the Peak Minerals Cluster investigating world lithium supply and demand, as well as gold and nickel production in the Goldfield Esperance region of Western Australia.

For the past 18 months Steve has been primarily focused on evaluating the energy and/or water savings from pilot programs. In particular he has worked on evaluation projects such as the OEH Home Power Savings Program, Endeavour Energy efficiency programs, ACEW AGL and Hunter Water Save Water Initiatives. A key component of this evaluation work is collating large datasets of either customer billing data or smart meter data from a range of sources and critically analysing the compiled datasets to glean statistically significant information. Steve has specific experience with smart meter data analysis, having completed projects with Hunter Water Corp and Endeavour Energy analysing smart meter data consumption data. Steve is currently evaluating smart meter consumption for Power and Water Corp. Steve has also assisted in refining existing water and energy models and associated analysis and designing new resource models.
Steve is passionate about phosphorus recovery research. He is currently working under Dr Dana Cordell to develop a model of phosphorus supplies and demand. Steve has also previously worked for Dr Gavin Mudd at Monash University as part of the Peak Minerals Cluster investigating world lithium supply and demand, as well as gold and nickel production in the Goldfield Esperance region of Western Australia.

Image of Steve Mohr
Senior Research Consultant, Institute for Sustainable Futures
Core Member, Institute for Sustainable Futures
Bachelors of Maths, B Eng (Chem), Doctor of Philosophy
Phone
+61 2 9514 9041
Room
CB10.11

Conference Papers

Gero, A., Doan Trieu, T., Mohr, S.H., Rickwood, P., Halcrow, G. & Willetts, J.R. 2014, 'Sustainable Water and Sanitation Services for all in a Fast Changing World: Relying on markets to address human rights: supply chain analysis in low-density settings', 37th WEDC International Conference, Hanoi, Vietnam, September 2014 in 37th WEDC International Conference, Hanoi, Vietnam, 2014, ed N/A, WEDC International Conferences, Leicestershire, UK.
Market-based approaches to improving sanitation coverage have increased in recent years, however the equity implications of these approaches, particularly in the face of the recently established human right to sanitation in 2010, requires a closer examination of the costs of sanitation products and services in remote, rural locations. This paper presents results from a recent study examining the sanitation supply-chain in the province of Dien Bien in north-west Vietnam, a low-density rural setting with high rates of poverty. It was found that current toilet coverage is lower in areas of high poverty, and that these areas also experience the highest costs of sanitation products due to the impact of distance and transport costs. We conclude that market-based approaches require nuanced application and that other forms of support or significant market intervention are likely required to ensure equitable outcomes in remote rural contexts.
Giurco, D., Mohr, S.H., Fyfe, J., Rickwood, P., Teng, M.L. & Franklin, J. 2013, 'Modelling bounce-back in water consumption post-drought', 5th National Water Efficiency Conference, Sydney, March 2013 in Proceedings of the 5th National Water Efficiency Conference, ed Australian Water Association,, Australian Water Association (AWA), Sydney, pp. 1-5.
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Mudd, G.M., Weng, Z., Northey, S., Jowitt, S., Memary, R., Mohr, S.H., Giurco, D. & Mason, L.M. 2013, 'A projection of future energy and greenhouse gas emissions intensity from copper mining', 23rd World Mining Congress 2013, Montreal, Canada, August 2013 in 23rd World Mining Congress 2013 Proceedings, ed Hassani, F. and Ednie, H., Canadian Institute of Mining, Metallurgy and Petroleum, Canada, pp. 1-14.
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In this study, we develop a detailed model of the likely future carbon footprint of primary copper supply. We develop a peak copper production model, based on a detailed copper resource data set, and combine this with a comprehensive life cycle assessment model of copper mining and milling to predict greenhouse gas emission rates and intensities of Australian and global copper production up to 2100. By establishing a quantitative prediction of both copper production and corresponding greenhouse gas emissions of Australian and global copper industry, we then analysed the emissions intensity of various energy input scenarios, such as business-as-usual, solar thermal electricity and solar thermal electricity with biodiesel. The Australian Government has an aspirational goal for long-term greenhouse gas emissions of an 80% reduction from the 2000 level by 2050. For the copper sector, this means moving from about 12.6 Mt CO2e in 2000 to a goal of some 2.52 Mt CO2e in 2050 (assuming equal emissions reductions across the economy). Based on the energy sources modelled, only the solar thermal plus biodiesel scenario was capable of achieving this goal at about 0.15 Mt CO2e, since the solar thermal alone scenario still includes normal petro-diesel as a major source of emissions. Overall, it is clear that there are abundant resources which can meet expected long-term copper demands, the critical issue is more the carbon (and environmental) footprint of different copper supplies and use rather than how much is available for mining. It is clear that the switch to renewable energy can have a profound impact on the carbon intensity of copper supply, even allowing for increased energy intensity as ore grades decline, and a complete conversion to renewable energy will position the copper sector to meet existing annual greenhouse gas emissions targets and goals.
Mohr, S.H. & Evans, G. 2012, 'The future of unconventional oil (slides)', The 10th Annual ASPO Conference:, Vienna, Austria, May 2012.
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Mohr, S.H. & Evans, G. 2012, 'The future of unconventional oil (video)', The 10th Annual APSO Conference, Vienna, Austria, May 2012.
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Mohr, S.H. 2012, 'Forecasting fossil fuels', Australian Academy of Science, Australian Frontiers of Science Conference: Science for a Green Economy, Sydney, Australia, December 2012.
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Journal Articles

Mohr, S.H. & Ward, J. 2014, 'Helium production and possible projection', Minerals, vol. 4, no. 1, pp. 130-144.
The future availability of helium has been raised as an issue in the literature. However, a disaggregated projection of helium production has not been attempted, presumably due to the difficult nature of accessing disaggregated historic production data to test the accuracy of this issue. This paper presents collated and estimated historic helium production statistics from 1921 to 2012 for each helium producing country in the world and by U.S. state. A high and regular growth projection of helium has been created. It is found that helium resources are sufficient for the near future, with the projected production plateauing in 2060+2075 and 2090+2100 for the high and regular growth scenarios, respectively. As long as natural gas deposits with helium are appropriately managed, there is little likelihood for helium shortages to occur in the short term due to geologic constraints.
Northey, S., Mohr, S.H., Mudd, G.M., Weng, Z. & Giurco, D. 2014, 'Modelling future copper ore grade decline based on a detailed assessment of copper resources and mining', Resources, Conservation and Recycling, vol. 83, pp. 190-201.
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The concept of 'peak oil' has been explored and debated extensively within the literature. However there has been comparatively little research examining the concept of 'peak minerals', particularly in-depth analyses for individual metals. This paper presents scenarios for mined copper production based upon a detailed assessment of global copper resources and historic mine production. Scenarios for production from major copper deposit types and from individual countries or regions were developed using the Geologic Resources Supply-Demand Model (GeRS-DeMo). These scenarios were extended using cumulative grade-tonnage data, derived from our resource database, to produce estimates of potential rates of copper ore grade decline. The scenarios indicate that there are sufficient identified copper resources to grow mined copper production for at least the next twenty years. The future rate of ore grade decline may be less than has historically been the case, as mined grades are approaching the average resource grade and there is still significant copper endowment in high grade ore bodies. Despite increasing demand for copper as the developing world experiences economic growth, the economic and environmental impacts associated with increased production rates and declining ore grades (particularly those relating to energy consumption, water consumption and greenhouse gas emissions) will present barriers to the continued expansion of the industry. For these reasons peak mined copper production may well be realised during this century.
Ross, K.E., Delaney, C.C., Beard, N., Fuller, K., Mohr, S.H. & Mitchell, C.A. 2014, 'Smart Metering Enables Effective Demand Management Design', Water, vol. Aug.
The water demand and water use practices of each community are different. Designing cost-effective demand management programs requires investigating and responding directly to the unique water issues and opportunities of each community (Turner et al., 2010). As presented in this paper, a `mixed method baseline analysis+ has proven to be valuable in developing a demand management program tailored to the distinctive community context. A mixed method baseline analysis is comprised of two interlinked components: (i) quantitative smart meter data analysis to create a detailed understanding of the water demand pro file; and (ii) qualitative social research to understand the social, cultural and institutional in fluences that drive existing water patterns. This paper shares the mixed method baseline analysis and resulting implications for a demand management program implemented in the remote Indigenous community of Gunbalanya, Northern Territory, in 2013.
Yellishetty, M., Mudd, G.M., Giurco, D., Mason, L.M. & Mohr, S.H. 2013, 'Iron ore in Australia - too much or too hard?', The AusIMM Bulletin, vol. 3, no. June, pp. 42-47.
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Mohr, S.H. & Evans, G. 2013, 'Projections of future Phosphorus production (paper)', Philica: where ideas are free, vol. Article380.
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Giurco, D., Mohr, S.H., Fyfe, J., Rickwood, P., Teng, M.L. & Franklin, J. 2013, 'Modelling bounce-back in water consumption post-drought', Water, vol. 40, no. 5, pp. 79-84.
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Focused on a case study of Geelong, Victoria, this paper presents the results of a unique comparison of (i) a custombuilt regression model for forecasting total customer water demand and (ii) end-use based water projections using the integrated Supply Demand Planning model (iSDP) model. The regression model used historical data for calibration based on level of restrictions, evapotranspiration, temperature, and rainfall. By selecting a future climate scenario (and any anticipated restriction periods) for the next 10-year period, demand can be projected by the model.
Mohr, S.H., Mudd, G.M. & Giurco, D. 2012, 'Lithium resources and production: Critical assessment and global projections', Minerals, vol. 2, no. 1, pp. 65-84.
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This paper critically assesses if accessible lithium resources are sufficient for expanded demand due to lithium battery electric vehicles. The ultimately recoverable resources (URR) of lithium globally were estimated at between 19.3 (Case 1) and 55.0 (Case 3) Mt Li; Best Estimate (BE) was 23.6 Mt Li. The Mohr 2010 model was modified to project lithium supply. The Case 1 URR scenario indicates sufficient lithium for a 77% maximum penetration of lithium battery electric vehicles in 2080 whereas supply is adequate to beyond 2200 in the Case 3 URR scenario. Global lithium demand approached a maximum of 857 kt Li/y, with a 100% penetration of lithium vehicles, 3.5 people per car and 10 billion population.
Giurco, D., Prior, T.D., Mason, L.M., Mohr, S.H. & Mudd, G.M. 2012, 'Life-of-resource sustainability considerations for mining', Australian Journal of Civil Engineering, vol. 10, no. 1, pp. 47-56.
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Mining in Australia is booming. Notwithstanding, production conditions are progressively transitioning from the mining of +cheaper, easily accessible and higher quality ores+ to +lower grade, more remote, complex and expensive ores+. Sustainability discussions in the minerals industry have largely sought to improve the social and environmental performance of individual operations, including planning for closure. However, the national implications of a change in the circumstances underpinning the current prosperity of mining are underexplored. This paper uses a peak minerals metaphor to map +life-of-resource+ environmental and social considerations, pre- and post-peak production, at local and national scales. An examination of how the social and environmental impacts change, over the life of a resource+s extraction, is used to inform strategies for the role of technological and policy innovation in underpinning long-term national benei t from minerals in Australia.
Giurco, D., Mohr, S.H., Mudd, G.M., Mason, L.M. & Prior, T.D. 2012, 'Resource criticality and commodity production projections', Resources, vol. 1, no. 1, pp. 22-33.
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Resource criticality arising from peak production of primary ores is explored in this paper. We combine the Geologic Resource Supply-Demand Model of Mohr [1] to project future resource production for selected commodities in Australia, namely iron and coal which together represent around 50% of the value of total Australian exports as well as copper, gold and lithium. The projections (based on current estimates of ultimately recoverable reserves) indicate that peak production in Australia would occur for lithium in 2015; for gold in 2021; for copper in 2024; for iron in 2039 and for coal in 2060. The quantitative analysis is coupled with the criticality framework for peak minerals of Mason et al. [2] comprising (i) resource availability, (ii) societal resource addiction to commodity use, and (iii) alternatives such as dematerialization or substitution to assess the broader dimension s of peak minerals production for Australia.
Ward, J.D., Mohr, S.H., Myers, B.R. & Pell, W.P. 2012, 'High estimates of supply constrained emissions scenarios for long-term climate risk assessment', Energy Policy, vol. 51, no. 1, pp. 598-604.
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The simulated effects of anthropogenic global warming have become important in many fields and most models agree that significant impacts are becoming unavoidable in the face of slow action. Improvements to model accuracy rely primarily on the refinement of parameter sensitivities and on plausible future carbon emissions trajectories. Carbon emissions are the leading cause of global warming, yet current considerations of future emissions do not consider structural limits to fossil fuel supply, invoking a wide range of uncertainty. Moreover, outdated assumptions regarding the future abundance of fossil energy could contribute to misleading projections of both economic growth and climate change vulnerability. Here we present an easily replicable mathematical model that considers fundamental supply-side constraints and demonstrate its use in a stochastic analysis to produce a theoretical upper limit to future emissions. The results show a significant reduction in prior uncertainty around projected long term emissions, and even assuming high estimates of all fossil fuel resources and high growth of unconventional production, cumulative emissions tend to align to the current medium emissions scenarios in the second half of this century. This significant finding provides much-needed guidance on developing relevant emissions scenarios for long term climate change impact studies
Mohr, S.H. & Evans, G. 2011, 'Long term forecasting of natural gas production', Energy Policy, vol. 39, no. 9, pp. 5550-5560.
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Natural gas is an important energy source for power generation, a chemical feedstock and residential usage. It is important to analyse the future production of conventional and unconventional natural gas. Analysis of the literature determined conventional URR estimates of 10,700+18,300 EJ, and the unconventional gas URR estimates were determined to be 4250+11,000 EJ. Six scenarios were assumed, with three static where demand and supply do not interact and three dynamic where it does. The projections indicate that world natural gas production will peak between 2025 and 2066 at 140+217 EJ/y (133+206 tcf/y). Natural gas resources are more abundant than some of the literature indicates.
Mohr, S.H., Hook, M., Mudd, G.M. & Evans, G. 2011, 'Projection of long-term paths for Australian coal production - Comparison of four models', International Journal of Coal Geology, vol. 86, no. 4, pp. 329-341.
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Coal exports are an important source of revenue for Australia and for this reason Australian coal production and resources have been examined in detail and two recoverable resource estimates determined namely Standard and High. The Standard case calculated the likely recoverable coal resources in Australia to be 317 Gt, whereas the High scenario determined the maximal amount of recoverable coal resources at 367 Gt. Different modelling approaches (Logistic, Gompertz, Static and Dynamic supply and demand models) were used to project fossil fuel production and the projections of the relative approaches were compared. Good agreement was found between the Logistic, Static and Dynamic supply and demand models with production peaking in 2119 6 at between 1.9 and 3.3 Gt/y. Contrasting these projections the Gompertz curves peak in 2084 5 at 1+1.1 Gt/y. It was argued that the Logistic, Static and Dynamic models are more likely to produce accurate projections than the Gompertz curve. The production forecast is based on existing technology and constraints and a qualitative discussion is presented on possible influences on future production, namely: export capacity, climate change, overburden management, environmental and social impacts and export market issues.
Mason, L.M., Mohr, S.H., Zeibots, M.E. & Giurco, D. 2011, 'Limits to cheap oil - impact on mining', The AusIMM Bulletin: Journal of the Australian institute of Mining and Metallurgy, vol. 4, no. August 2011, pp. 40-42.
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Mohr, S.H. & Macdougall, J. 2010, 'Integral trees of diameter 4', AKCE : International journal of graphs and combinatorics, vol. 7, no. 2, pp. 171-188.
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An integral tree is a tree whose adjacency matrix has only integer eigenvalues. While most previous work by other authors has been focused either on the very restricted case of balanced trees or on finding trees with diameter as large as possible, we study integral trees of diameter 4. In particular, we characterize all diameter 4 integral trees of the form T(m1, t1) + T(m2, t2). In addition we give elegant parametric descriptions of infinite families of integral trees of the form T(m1, t1) + + T(mn, tn) for any n > 1. We conjecture that we have found all such trees.
Mohr, S.H. & Evans, G. 2010, 'Combined Generalised Hubbert-Bass model approach to include disruptions when predicting future oil production', Natural Resources, vol. 1, no. 1, pp. 28-33.
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In a previous study [1] the authors had developed a methodology for predicting global oil production. Briefly, the model accounted for disruptions in production by utilising a series of Hubbert curves in combination with a polynomial smoothing function. Whilst the model was able to produce predictions for future oil production, the methodology was complex in its implementation and not easily applied to future disruptions. In this study a Generalized Bass model approach is incorporated with the Hubbert linearization technique that overcomes these limitations and is consistent with our previous predictions
Mohr, S.H. & Evans, G. 2010, 'Long term prediction of unconventional oil production', Energy Policy, vol. 38, no. 1, pp. 265-276.
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Although considerable discussion surrounds unconventional oil's ability to mitigate the effects of peaking conventional oil production, very few models of unconventional oil production exist. The aim of this article was to project unconventional oil production to determine how significant its production may be. Two models were developed to predict the unconventional oil production, one model for in situ production and the other for mining the resources. Unconventional oil production is anticipated to reach between 18 and 32 Gb/y (49+88 Mb/d) in 2076+2084, before declining. If conventional oil production is at peak production then projected unconventional oil production cannot mitigate peaking of conventional oil alone.
Mohr, S.H. & Evans, G. 2009, 'Forecasting coal production until 2100', Fuel, vol. 88, no. 11, pp. 2059-2067.
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A model capable of projecting mineral resources production has been developed. The model includes supply and demand interactions, and has been applied to all coal producing countries. A model of worldwide coal production has been developed for three scenarios. The ultimately recoverable resources (URR) estimates used in the scenarios ranged from 700 Gt to 1243 Gt. The model indicates that worldwide coal production will peak between 2010 and 2048 on a mass basis and between 2011 and 2047 on an energy basis. The Best Guess scenario, assumed a URR of 1144 Gt and peaks in 2034 on a mass basis, and in 2026 on an energy basis.
Mohr, S.H. & Evans, G. 2009, 'An Empirical Method to Make Oil Production Models Tolerant to Anomalies', Natural Resources Research, vol. 18, no. 1, pp. 1-5.
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Modeling oil production is of interest to society and hotly debated. Often anomalies have occurred which makes modeling oil production via a particular theory (e.g., Hubbert+s bell curve) difficult. The empirical method described here allows for such historic anomalies to be incorporated while still using the underly theory. This method is explained using Hubbert+s bell curve and Former Soviet Union oil production as an example
Mohr, S.H. & Evans, G. 2008, 'Peak Oil: Testing Hubbert's Curve via theoretical modelling', Natural Resources Research, vol. 17, no. 1, pp. 1-11.
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A theoretical model of conventional oil production has been developed. The model does not assume Hubbert+s bell curve, an asymmetric bell curve, or a reserve-to-production ratio method is correct, and does not use oil production data as an input. The theoretical model is in close agreement with actual production data until the 1979 oil crisis, with an R 2 value of greater than 0.98. Whilst the theoretical model indicates that an ideal production curve is slightly asymmetric, which differs from Hubbert+s curve, the ideal model compares well with the Hubbert model, with R 2 values in excess of 0.95. Amending the theoretical model to take into account the 1979 oil crisis, and assuming the ultimately recoverable resources are in the range of 2+3 trillion barrels, the amended model predicts conventional oil production to peak between 2010 and 2025. The amended model, for the case when the ultimately recoverable resources is 2.2 trillion barrels, indicates that oil production peaks in 2013.
Mohr, S.H. & Evans, G. 2007, 'Model Proposed For World Conventional, Unconventional Gas', Oil & Gas Journal, vol. 105, no. 47, pp. 46-52.
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Mohr, S.H. & Evans, G. 2007, 'Models Provide Insights On North American Gas Future', Oil & Gas Journal, vol. 105, no. 25, pp. 51-55.
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Mohr, S.H. & Evans, G. 2007, 'Mathematical Model Forecasts Year Conventional Oil Will Peak', Oil & Gas Journal, vol. 105, no. 17, pp. 45-50.
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Reports

Ross, K.E., Delaney, C.C., Mohr, S.H. & Mitchell, C.A. 2014, 'End of project evaluation: Gunbalanya Water Initiative', Institute for Sustainable Futures, UTS, Sydney, Australia, pp. 1-97.
This report presents an analysis of water use in Gunbalanya and an independent evaluation of the `Gunbalanya Water Initiative' (the Initiative), a water demand management program led by Power and Water Corporation (PWC) in 2013. The Initiative was implemented in the Gunbalanya community (Oenpelli) in western Arnhemland, Northern Territory, in response to increasing water scarcity and rising demand from the water system. The community experiences water shortages at the end of most dry seasons (October to December) as the aquifer is dependent on seasonal recharge and unique aquifer characteristics prohibit higher extraction rates. Increasing water demand incurs higher production costs. Where that water continues to the sewer, it can also overload sewage treatment systems. These drivers triggered an analysis of the sources of demand (water use, leaks, etc) to identify and test the local efficacy of targeted demand reduction measures. Implementation of the Initiative was from October 2012 to November 2013 through a partnership between local and Territory governments and the Gunbalanya community. The partners included Power and Water Corporation, the NT Department of Housing, the West Arnhem Regional Council (WARC), and the NT Department of Community Services. In - kind contributions from all partners supplemented grant funding of $298,000 from the Australian Government to deliver the program. The focus of the Initiative was to engage Indigenous public housing tenants and community stakeholders in a water efficiency program. Smart meter data interpretation played a significant role in the Initiatives' design, monitoring and evaluation. A mixture of qualitative and quantitative evaluation techniques were used.
Cordell, D.J., Mikhailovich, N., Mohr, S.H., Jacobs, B. & White, S. 2014, 'Australian sustainable phosphorus futures: Phase II: Adapting to future phosphorus scarcity: Investigating potential sustainable phosphorus measures and strategies', Australian Government: Rural Industries Research and Development Corporation.
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This project investigates how Australia can manage phosphorus to ensure long-term food security, soil fertility, agricultural productivity, farmer livelihoods and environmental protection. The intended outcome overall is to deliver sustainable phosphorus adaptation strategies across a range of scenarios to increase the resilience of the Australian food system. An Australian phosphorus flows model, quantified and costed sustainable phosphorus measures and interactive future phosphorus scenarios, will enable stakeholders to identify policy implications and make informed policy decisions. This report presents the findings from Phase 2 of this project, Adapting to future phosphorus scarcity: investigating potential sustainable phosphorus measures and strategies. That is: 1. a Toolbox of sustainable phosphorus measures 2. a future scenarios model of sustainable phosphorus measures 3. a high-level influence diagram on which phosphorus vulnerability can be mapped 4. a conceptual framework for deliberating on, and synthesising adaptive pathways.
Mohr, S.H., Fyfe, J. & Giurco, D. 2014, 'A Review of data on lead-acid batteries entering Australia and arising as waste', Institute for Sustainable Futures, University of Technology, Sydney, Sydney.
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The Hazardous Waste Section of the Australian Government Department of the Environment (DoE) commissioned ISF to undertake a brief review of selected data on quantities of lead-acid batteries in Australia, both as products and waste. The key numbers to be reviewed included the annual amounts of: * lead-acid batteries entering the Australian market (mostly through imports); and * annual arisings as wastes. The purpose of the review is to recommend a preferred set of numbers which are to be used in making regulatory decisions under the Hazardous Waste (Regulation of Exports and Imports) Act 1989.
Mohr, S.H., Mudd, G.M., Mason, L.M., Prior, T.D. & Giurco, D. 2013, 'Coal: Production trends, sustainability issues and future prospects', Institute for Sustainable Futures, UTS and Department of Civil Engineering, Monash University, Sydney, pp. 1-48.
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Mohr, S.H., Mudd, G.M., Mason, L.M. & Giurco, D. 2013, 'Lithium: Production trends, sustainability issues and future prospects', Institute for Sustainable Futures, UTS and the Department of Civil Engineering, Monash University, Sydney, pp. 1-59.
Mudd, G.M., Weng, Z., Memary, R., Northey, S., Giurco, D., Mohr, S.H. & Mason, L.M. 2013, 'Future greenhouse gas emissions from copper mining: Assessing clean energy scenarios', Institute for Sustainable Futures, UTS and the Department of Civil Engineering, Monash University, Sydney, pp. 1-32.
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Langham, E., Brennan, T., Downes, J., Fyfe, J., Mohr, S.H. & White, S. 2013, 'Smart Grid, Smart City, Customer Research Report', Institute for Sustainable Futures, UTS, Sydney, Australia.
prepared by the Institute for Sustainable Futures as part of the AEFI consortium for Ausgrid and EnergyAustralia
Langham, E., Dunstan, C., Cooper, C., Moore, D.D., Mohr, S.H. & Ison, N.M. 2012, 'Decentralised Energy Costs and Opportunities for Victoria', Institute for Sustainable Futures, University of Technology, Sydney, pp. 1-136.
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Nguyen, M., Milne, G.R., Rickwood, P., Mohr, S.H. & Turner, A.J. 2012, 'Analysis of data from the ClimateSmart Home Service', Institute for Sustainable Futures, UTS, Sydney, Australia.
Rickwood, P., Mohr, S.H., Nguyen, M. & Milne, G.R. 2012, 'Evaluation of the home power savings program - Phase 1', Institute for Sustainable Futures, UTS, Sydney, Australia, pp. 1-67.
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Cordell, D.J., Jackson, M.L., Boronyak, L.J., Cooper, C., Mohr, S.H., Moore, D.D. & White, S. 2012, 'Phase 1: Analysis of phosphorus flows through the Australian food production and consumption system', Australian Sustainable Phosphorus Futures and Institute for Sustainable Futures, Sydney, Australia, pp. 1-57.
Memary, R., Giurco, D., Mudd, G.M., Mohr, S.H. & Weng, Z. 2012, 'Copper case study: Australian resources, technology and future scenarios', Institute for Sustainable Futures, UTS and the Department of Civil Engineering, Monash University, Sydney, pp. 1-48.
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Mudd, G.M., Yellishetty, M., Mason, L.M., Mohr, S.H., Prior, T.D. & Giurco, D. 2012, 'Iron resources and production: Technology, sustainability and future prospects', Department of Civil Engineering, Monash University and the Institute for Sustainable Futures, UTS, Melbourne, pp. 1-60.
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Mudd, G.M., Giurco, D., Mohr, S.H. & Mason, L.M. 2012, 'Gold resources and production: Australia in a global context', Department of Civil Engineering, Monash University and the Institute for Sustainable Futures, UTS, Melbourne, pp. 1-60.
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White, S., Herriman, E.J., Giurco, D., Cordell, D.J., Gero, A., Mason, L.M., May, D., Mohr, S.H. & Moore, D.D. 2012, 'Landfill Futures: Synthesis report', Institute for Sustainable Futures, UTS, Sydney, Australia, pp. 1-6.
Mohr, S.H., Mudd, G.M. & Giurco, D. 2010, 'Lithium resources and production: A critical global assessment', CSIRO, Sydney, pp. 1-107.
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Lithium resources and production: A critical global assessment