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Building operations use 45% of the total energy in Australia, and Net-Zero Energy Buildings (NZEBs) are instrumental in achieving net zero emissions by 2050. However, research reveals that various factors hinder NZEB adoption in Australia, and it is imperative to contextualise the barriers, thereby highlighting clear gaps that can be addressed to enhance the implementation of NZEB in Australia. This study presents a systematic literature review and bibliometric analysis to examine the barriers that hinder the implementation of NZEB contextualised within the Australian building industry. The paper's novelty resides in its contextualisation of barriers to NZEB thereby highlighting clear gaps that can be addressed to enhance the implementation of NZEB in Australia. Emergent results reveal the most impactful barriers experienced and the inter-relatedness between barriers and their effects on each other. These identified barriers are also compared with comparable countries, including the UK, China, Italy and the US. New insight and knowledge acquired provide a basis for assessing potential solutions to the main barriers. Findings show that a lack of knowledge, climate issues, and cost issues, in addition to government policy factors, are considered primary barriers encountered by the industry, hindering the achievement of NZEBs. It is imperative that future studies and initiatives counteract these impacts to realise a better implementation of NZEB in the Australian context. [ABSTRACT FROM AUTHOR]

Emerging industries and technologies are made up of objective, practical requirements and ideas that encompass broad hopes for what future newness might enable. The bioeconomy is one such emerging industry. Its recent evolution has involved a complicated and dynamic mix of promises, reality checks and subsequent ambivalences. This article frames and investigates the emerging algae-based bioplastics industry as one niche within this broader system envisaged for social, technological, economic, political and ecological change. As such, our paper presents two categories of knowledge that in practice interrelate: 1) specific and practical recommendations that can assist a future algal-based bioplastics industry to develop in Australia in ways that are conscious of socio-ecological and socio-cultural dimensions, and 2) critical extensions that go beyond the attributes of newness, impact, suddenness and universality often emphasised in both popular and scientific research into emerging green technologies. In particular, our analysis highlights the importance of specific temporal, tonal and spatial factors when framing the contextual factors associated emerging industries, technologies and the different pathways for change they might help support. • Pathways and enabling factors for a algal-based bioplastics industry in regional Australia are presented. • The 'social idea' of the bioeconomy is analysed with reference to algal-based bioplastics. • The algal-based bioplastics industry is contextualised in relation to transition pathways literatureon the bioeconomy. • Themes and recommendations are synthesised from literature review and semi-structured interviews. [ABSTRACT FROM AUTHOR]

This paper argues that attempts to transform Australia's urban environment into a sufficiently sustainable one has been misdirected. The 'green rating tool,' industry's adherence to relevant standards and governmental policies represent the primary means of effecting the sustainability transition. However, only high-profile commercial building owners seem interested in being green-rated; the actual end-users of buildings are far less committed (e.g. employees ensconced in commercial buildings and residential home occupiers). Through a systematic review of 103 journal articles published on the topic of end-users and sustainability transition, original findings are presented. The findings reveal that most residential end-users do not purchase green homes and without their 'buy-in,' sustainability transition across Australia will continue to fail. This paper offers a critical analysis of the status-quo, identifying where the effort to generate a sustainable urban environment has been misdirected, what challenges prevail, and why residential end-users have been overlooked. In looking for a way forward that engages end-users, the paper proposes that financial incentives for the purchase of low-carbon buildings must be introduced into the residential real-estate market. And the modeling for this rebate is discussed in terms of emissions trading schemes or carbon tax. • Attempts to transform Australia's urban environment into a sufficiently sustainable one have not generated desirable outcomes. • A systematic review of 103 journal articles is conducted on the topic of end-users and sustainability transition. • Residential end-users do not purchase green homes and without their 'buy[HYPHEN]in,' sustainability transition will fail. • Financial incentives for the purchase of low-carbon buildings must be introduced into the residential real-estate market. • The modeling for the rebate is discussed in terms of emissions trading schemes or carbon tax. [ABSTRACT FROM AUTHOR]

To fulfil the hunger for sustainable development, Australian construction sector seems to contemplate toward green design. Green-Star environmental rating system, one of the active building rating systems in Australia, has also been employed in New Zealand, and South Africa. To help engineers and designers obtain comprehensive visualisation on sustainable projects, this paper develops a model to evaluate energy consumption and greenhouse-gas emissions based on typical Australian commercial building alternatives. From that, this paper explains how to achieve points for “Energy” and “Life-cycle impacts” categories of this rating system. The model uses GaBi 8.1 platforms and shows relationships between building's energy consumption, and greenhouse-gas emissions released during the building lifetime. This paper provides insight into life-cycle greenhouse-gas emissions assessment for several typical commercial building fabrics in Australia. The developed model can also be conveniently modified to automate calculations for other credits under the Green-Star environmental rating system, and other environmental rating systems around the world. The study suggests that designers should consider the inverse relationship between building envelopes' total R-value with energy consumption and greenhouse-gas emissions. Another finding shows that materials used for building envelopes play a significant role to manage energy consumption as well as greenhouse-gas emissions amount during the building's life-cycle. [ABSTRACT FROM AUTHOR]

This paper profiles Australian universities’ website communications about sustainability initiatives, especially relating to Talloires Declaration signification and the ten recommended actions. The research involves a content study of Talloires signatories’ websites and their semiotic and signaling theory aspects across time. The source is publicly available information (time period 2014 and 2015 respectively) in context with education for sustainable development (ESD) in society and the transaction model in communication theory. It is found that some of the signatory universities in Australia exemplify a few of the Talloires ten agreed actions in their public communications, but each point is not emphasised with equal priority. The variance may be due to divergent underlying objectives; such as public communication of Talloires toward genuine benefit for the environment, or to create a strategic positioning tool to signal the university as an environmental champion within the broader society. Focusing upon secondary data from signatory university websites in Australia, the paper provides a study of higher education signification of Talloires. It assists the initial understanding of signaling theory in the public communication transactions that promote Talloires action and implementation. The findings encourage further studies of related communication issues in universities in other countries. The paper also deepens local and global understanding of perceptions of sustainability and contributes to the body of comparative literature of sustainability in higher education as a development component of strategic management of ESD. [ABSTRACT FROM AUTHOR]

Recycled concrete waste in the form of recycled concrete aggregate (RCA) is presently used mostly as a road base filler in Australia. However, instead of producing natural aggregate (NA) to manufacture natural aggregate concrete (NAC) to use in structural concrete, there is potential to use RCA to manufacture recycled aggregate concrete (RAC). While the material performance of RAC compared to NAC is analysed in the existing literature, it is not evident whether the use of RCA in structural concrete results in financial and environmental benefits. Previous literature analysing these aspects mostly focuses on a single area of investigation. This paper presents an integrated methodology for the assessment of the use of RCA replacing NA in structural concrete, considering technical, financial, environmental and social perspectives. Cost-benefit assessment (CBA) has been used to evaluate the internalised impacts as well as external costs concerning the use of both RAC and NAC. The scope of each discipline-focused assessment is presented demarcating the relevant scope for further study, and the specific tools and methodologies to be adopted are specified. Finally, amalgamating the different discipline-focused assessments, a unique approach for comparing a sustainable, alternative raw material for concrete, is presented in this paper. [ABSTRACT FROM AUTHOR]

Australia is a long-term key partner of China in coal trading, which is famous for high-quality coal and its price advantage. However, affected by the evolution of international political and economic situation, China has issued a coal ban on Australian coal since the end of 2020. The potential environmental consequences of this coal ban remain unclear. So, this paper quantifies the ban's impact on air pollution, human health and climate change by simulating the emission difference between the port scenario (simulating the emissions due to Australian coal import under business as usual) and the mine scenario (simulating the emissions due to domestic coal mining that converted from import share of Australian coal), and monetizes the losses into economic costs for direct comparison. The results illustrate the emission of SO 2 , VOCs and GHG in mine scenario grows up to 102, 12 and 6 times the amount of that in port scenario, mainly deriving from coal mining process in the North China Plain and Yunnan-Guizhou Plateau. It shows that the potential alternative of replacing import with mining leads to PM 2.5 pollution exacerbation and O 3 pollution abatement, which causes 148 (95 % CI: 101–183) non-communicable diseases and respiratory disease-related deaths in total. As for GHG, the emission of BC in transportation process and fugitive methane in coal mining process contribute to an impressive effect on warming potential with few quantities, which is worth noting in control process. In total, the environmental deterioration resulted in an economic loss of approximately 934 million yuan. The undiminished demand for high-quality industrial coal as well as growing carbon tax could make the economic value of the coal ban's environmental consequences more considerable in the near future. This research emphasizes the contradiction between economic development and environmental improvement caused by excessive dependence on coal and addresses a critical knowledge gap in assessing the ban's environmental impact by economic value. The result directly demonstrates the environmental consequences of the potential mining-replacing-import alternative and helps better understand environmental influences on the Chinese government's decision. [ABSTRACT FROM AUTHOR]

Traditional glass bottles are the wine industry's major source of carbon emissions. Those wishing to reduce the carbon footprint embedded in wine have been looking to alternative packaging, such as PET, aluminium cans, and bag-in-box (BIB) to mitigate the impact. However, these alternative formats pose challenges with consumer acceptance and knowledge of the eco-benefits of each format. This paper uses a discrete choice experiment and latent class analysis to investigate the possible effects of message content and style (abstract vs concrete) on wine purchase in the context of brand size, brand prestige, and pricing. The analysis reveals the presence of two customer segments, which highly emphasise the pack format. Of the four non-glass packs tested, BIB and flat glass lookalike PET bottles score the highest preference after glass bottles. Message content and appeal type score low in their ability to alter preferences, whilst mid-to-low prices increase the chances of alternative packaging to be chosen. • Packaging format is a key choice driver for wine. • Glass is still the most preferred packaging format. • Bag in Box and low-carbon alternatives that look most like glass have the most potential for uptake. • Message content and appeal have little impact on choice. • Alternative packaging is more likely to be chosen for mid-to-low-priced wines. [ABSTRACT FROM AUTHOR]

Proponents of low-carbon transformation face an uphill battle to reconfigure incumbent energy systems against powerful interests protecting the status quo. Australia's electricity sector is an example of such a system, wedded to fossil fuels and backed by much of the country's political establishment. This paper addresses the potential for low-carbon transformation in Australia's electricity sector. It explores the complex and uncertain dynamics shaping the sector and outlines how these can be understood through the lens of strategic agency – with an eye for opportunities to drive a shift to renewables. It reviews the dynamics of change and re-stability shaping Australia's electricity sector between 2006 and 2015 and applies a resource-based view of transformative agency to analyse these dynamics. Results show the sector suffers multiple stressors and emphasise disruptive changes ‘in the pipeline’. Critically, many of these transformative dynamics stem from factors outside the influence of the electricity sector and its supporters. While results do not point to a clear trajectory or outcome of transformation, they indicate the uptake of small-scale solar photovoltaic (PV) systems by households and small business will play a defining role in the sector's future configuration. Furthermore, the exploration of transformative dynamics affecting the electricity sector through a resource-based lens shows that many opportunities exist for strategic agents to intervene in support of a disruptive shift to renewables. The paper suggests a range of mechanisms that agents could use to undermine the strength of fossil energy in the electricity sector and encourage a shift to renewables. [ABSTRACT FROM AUTHOR]

Carbon reduction has become one of the most significant challenges for economic growth. This paper presents the preliminary analysis of undesirable output reduction targets and emission schedules in temporal–spatial comparisons based on Data Envelopment Analysis. The reduction targets of undesirable outputs are investigated, including the maximum, input, technical and ideal reduction targets. Four Data Envelopment Analysis models that are based on a sequential benchmark technology and variable returns to scale are introduced to measure these reduction percentages. In order to formulate the optimal emission schedule of undesirable outputs, an optimal model is provided without inflation. Data from the Australian construction industry from 2000 to 2010 are employed to develop the models. The results of the analysis indicate that the Australian Government could achieve its promised carbon reduction targets in the construction industry. Most Australian regions' construction industries possess carbon mitigation potential and some of them could increase their desirable outputs if carbon were decreased. This paper suggests that policymakers can benefit from formulating various suitable undesirable output reduction objectives and schedules through the models developed. The research method can be replicated for other sectors and regions focussing on undesirable output reduction. [ABSTRACT FROM AUTHOR]

Over the last two decades, the olive oil industry in Australia has been growing at an annual rate of 9%. Nevertheless, the highly polluting solid waste and wastewater generated by the industry poses significant challenges for the environmental sustainability of the industry. This paper analysed five alternatives for managing this waste stream using life cycle assessment methodology. The options included manufacturing briquettes as solid fuel for home heating; pellets for domestic or industrial water heating; pyrolysis and composting. The functional unit used in this study is the processing of 1 Mg of olive solid waste at the mill. Emissions were categorised into eight impact categories: ozone layer depletion potential (ODP), global warming potential (GWP100), eutrophication potential (EP), acidification potential (AP), human toxicity (HTP), fossil fuel depletion potential (FDP), ionising radiation potential (IRP), and photochemical oxidant formation potential (POFP). The study showed that although composting (current best practices – CBP) can achieve significant environmental benefits, using the olive waste to produce energy products may achieve better results, especially when displacing electricity from the main grid. The production of pellets for use in domestic hot water boilers (PHWH) is the option that is likely to deliver the highest environmental benefits. For example, GWP100 and ODP of the PHWH were estimated to be −1057 kg CO 2 -Eq, −1.5 × 10 −5 kg CFC-11-Eq compared to −12.4 kg-CO 2 -Eq and 5.3 × 10 −8 kg CFC-11-Eq achieved by the CBP, respectively. Future energy scenario and transportation distances were identified as significant parameters affecting the performance of the options. Sensitivity analysis showed that the expected change in the future Australian energy mix to cleaner energy sources is unlikely to have a significant effect on the performance of the alternatives. The results also showed little sensitivity to transportation distances of the energy product to the end user. This paper is the first to evaluate options for energy utilisation of olive solid waste using life cycle assessment and compare it to industry current best practices (composting). Although the paper focuses on the Australian olive oil industry, the results are also relevant to other countries and regions were olive solid waste is generated in relatively moderate quantities but distributed over large geographic area. [ABSTRACT FROM AUTHOR]

Global climatic change is driving research and development in low emissions technologies. One such technology is the use of charcoal from biomass in steelmaking. This paper adapts social life cycle assessment methodologies to analyse the social dimensions of energy supply alternatives in steelmaking using regionalised production scenarios in Australia. Three energy supply alternatives are investigated: charcoal produced from Radiata pine plantation forestry; charcoal produced from Mallee eucalypt revegetation on agricultural land; and metallurgical coal. Impact indicators analysed include land-use, employment, workplace health & safety and a qualitative analysis of identified stakeholder issues. The research finds that biomass alternatives are significant generators of direct employment at the regional level; have concomitantly higher rates of workplace injuries and represent a significant change in land-use. Charcoal produced from Mallee biomass planted as a conservation measure on farmland, however, has the benefit of representing a shared land-use that provides an additional farm revenue stream and assists dryland salinity management. The paper finds that full substitution of coal by pine or Mallee charcoal does not provide a unique solution for optimising the social performance of the energy supply alternatives across all indicators. [ABSTRACT FROM AUTHOR]

Substance flow analysis (SFA) provides a helpful tool for the study of the industrial metabolism of a certain substance within a regional level. This paper presents SFA of steel in four countries, namely Australia, Brazil, China and India. These countries are traditionally economically mineral dependent and are major contributors in global iron ore production. For example, in 2010 together these countries produced 81% of world iron ore. Based on the analysis it was found that Australian and Brazilian iron ore stocks will deplete rapidly while China and India are accumulating. This paper then presents a discussion on sustainability issues related to substance flows of steel stocks. The study is aimed at providing better understanding of stocks and flows and to inform the policy making for achieving the industrial metabolism and consequently leading to better management of resources and recycling of steel in the countries under study. [ABSTRACT FROM AUTHOR]

In this letter, we respond to the articles “Decoupling global environmental pressure and economic growth: scenarios for energy use, materials use and carbon emissions” by Heinz Schandl et al. (Journal of Cleaner Production, 132, 45–56) and “Australia is ‘free to choose’ economic growth and falling environmental pressures” by Hatfield-Dodds et al. (Nature, 527, 49–53). The authors of these papers suggest that policy settings are crucial for Australia to allow growing standard of living to coincide with lower environmental pressure and impact. Both papers make it clear that decoupling has not occurred in past, but stress that this does not mean it cannot occur in the future. Here, we undertake a comprehensive trend analysis by putting their decoupling scenarios into a historical context to assess the feasibility of decoupling economic growth from environmental impacts. To this end, we undertake a structural decomposition analysis to examine the drivers of a change in Australia's greenhouse gas emissions from 1976 to 2050. Using the well-known I = PAT equation, we appraise the contribution of population growth, affluence and technology in accelerating or decelerating the growth of emissions over the 75 year period. Our results suggest that population growth and affluence are key accelerators of greenhouse gas emissions. We argue that in order to decrease emissions from fuel consumption, unprecedented improvements in emissions intensity will be required both in Australia and globally. [ABSTRACT FROM AUTHOR]

Green buildings are synonymous with environmental sustainability; however, it is unclear what role its occupants, specifically employees, play in promoting sustainability in green office buildings. This paper proposes that Green Human Resource Management (HRM), underpinned by Social Identity Theory (SIT), can maximize the potential of green behaviors to improve employees' outcomes (e.g., job satisfaction and work-related flow) in green office buildings by creating positive workplace behaviors (i.e., green behaviors). We collected multisource data from 549 employees and 91 managers working in 17 organizations in green office buildings across Australia. We confirm the double mediation effects of Green HRM, green behaviors and organizational identification on the relationships between organizational readiness, job satisfaction and work-related flow. The paper makes theoretical contributions by advancing the concept of Green HRM and green behaviors within the realm of SIT, thus taking a multidisciplinary stance in the built environment and sustainability literatures. [ABSTRACT FROM AUTHOR]

Global concerns around climate change and the volatility of conventional fuel prices have prompted researchers and technologists to make significant efforts to identify and exploit alternative energy sources that are cleaner and more sustainable. Wind energy has seen considerable development among these alternative energy sources, mainly due to its abundance and global availability for extraction and the existing knowledge within the aviation and aerospace fields. Many nations, including European countries, already operate offshore wind farms (OWFs) and are progressively carrying out new projects and expanding on other projects. The Australian offshore environment provides unique opportunities for wind energy extraction, particularly along the southern coast of mainland Australia and the regions around Tasmania, where substantially strong winds blow most of the year. A significant challenge to establishing wind farms is the selection of site locations with optimal outputs. This can become a complex decision-making problem if there are numerous options and no information from previous projects. This paper aims to develop a decision-making framework to select the optimal location for installing OWFs while addressing financial, performance-related, and availability-related objectives. This paper adopts a game-theoretical approach to develop a decision-support tool to account for the interdependencies of influencing factors and possible conflicts amongst the parties. The game model is applied to an OWF development case study in the Bass Strait, known for its dominant and strong winds. • A framework to find the optimal location for installing Offshore Wind Farms (OWFs). • Game theory decision-making methodology for offshore renewable energy applications. • Define the influencing factors and conflicts amongst the interested parties. • Apply to OWFs development in Bass Strait, known for its dominant and strong winds. [ABSTRACT FROM AUTHOR]

It is critical for landfilling facilities to follow proper waste handling and management practices. These include the use of suitable lining systems for waste containment, and the implementation of efficient leakage monitoring and detection systems. In this paper, an attempt has been made to present the current state of landfilling in Australia with a focus on the lining practices and leak detection methods. An extensive study was conducted involving different private and public waste handling and management facilities in all the states and territories of Australia. Based on the survey and the information available in the public domain, it was observed that different landfill sites practiced non-uniform set of directives for waste classification, siting, design, operation and rehabilitation. Majority of the facilities were found to be publicly owned. The use of groundwater monitoring wells for leakage detection was more prevalent than other leak detection methods. Further, a new method of leak detection by the simulation of landfill lining system, which is being developed and investigated in our research, is also presented. This study is particularly useful in generating awareness about the state of landfilling and will help various environmental protection agencies in making informed decisions for the development of rules and regulations to govern landfills. The new leak detection method as developed in our research can find applications in the development of monitoring systems for landfill liners, subbase contamination detection, and development of sensors. [ABSTRACT FROM AUTHOR]

Abstract To support alternative forms of energy resources, the prediction of global incident solar radiation (I rad) is critical to establish the efficacy of solar energy resources as a free and clean energy, and to identify and screen solar powered sites. Solar radiation data for construction of energy feasibility studies are not available in many locations due to the absence of meteorological stations, especially in remote or regional sites. To surmount the challenge in solar energy site identification, the universally gridded data integrated into predictive models used to generate reliable I rad forecasts can be considered as a viable medium for future energy utilization. The objective of this paper is to review, develop and evaluate a suite of machine learning (ML) models based on the artificial neural network (ANN) versus several other kinds of data-driven models such as support vector regression (SVR), Gaussian process machine learning (GPML) and genetic programming (GP) models for the prediction of daily I rad generated through the European Centre for Medium Range Weather Forecasting (ECMWF) Reanalysis fields. The performance of the ML models are benchmarked against several statistical tools: auto regressive moving integrated average (ARIMA), Temperature Model (TM), Time series and Fourier Series (TSFS) models. To train these models, 87 different predictor variables from the ERA-Interim reanalysis dataset (01-January-1979 to 31-December-2015) were extracted for 5 solar-rich metropolitan sites (i.e., Brisbane, Gold Coast, Sunshine Coast, Ipswich and Toowoomba, Australia) targeted against surface level I rad available from the measured Scientific Information for Land Owners dataset. For daily forecast models, a total of the 20 most important predictors related to the I rad dataset were screened with nearest component analysis: " fsrnca " feature selection, and partitioned into training (70%), validation (15%) and testing (15%) sets for model design. To benchmark the ANN, TSFS and TM models were developed with Fourier series and regression analysis, respectively and the statistical performance was benchmarked with root mean square error (RMSE), mean absolute error (MAE), Nash-Sutcliffe efficiency (E NS), Willmott's Index (WI), Mean Bias error (MBE), Legates and McCabe Index (E 1), and relative MAE , RMSE and diagnostic plots. The performance of ANN was significantly better than the other models (SVR, GPML, GP, TM), resulting in lower RMSE (1.715–2.27 MJm−2/day relative to 2.14–5.90 MJm−2/day), relative RMSE (9.07–12.47 vs 10.98–29.15), relative RMAE (7.97–11.74 vs 9.27–33.96) and larger WI, E NS and E 1 (0.938–0.967 vs. 0.462–0.955, 0.935–0.872 vs. 0.355–0.915, 0.672–0.783 vs. 0.252–0.740). Additionally, models assessed with predictors grouped into El Niño, La Niña and the positive, negative and neutral periods of Indian Ocean Dipole, affirmed the merits of ANN model (RRMSE ≤ 11%). Seasonal analysis showed that ANN was an elite tool over SVR, GPML and GP for I rad prediction. The study concludes that an ANN approach integrated with ECMWF fields, incorporating physical interactions of I rad with atmospheric data, is an efficacious alternative to forecast solar energy and assist with energy modelling for solar-rich sites that have diverse climatic conditions to further support clean energy utilization. Graphical abstract Image 1 Highlights • ANN, SVR, GPML and GP models were designed for prediction of daily solar radiation with reanalysis data. • Determinstic model ARIMA, temperature model and time series with Fourier transform model was used for benchmarking. • Nearest component analysis (fsrnca) was used for feature selection to get optimum inputs. • ANN outperform all ML model and deterministic models. • Solar energy potential is assessed for 5 cities of Queensland, Australia. [ABSTRACT FROM AUTHOR]

The rapid urbanisation and infrastructure development projects have increased infinite property regeneration and construction projects in the developed countries. This study aims to examine the current construction waste management literature, including key authors, university networks, and relevant information systems, considering four selected countries, including Australia, Canada, the United Kingdom, and the United States. This paper uses a set of novel metrics, query-based search, and social network analysis techniques for evaluating a dataset of 2337 papers published in a decade by authors from different countries investigating the topic of recycling and reuse of construction and demolition waste in order to identify prominent researchers, influential universities, collaboration practices, and research trends. The dataset of publications is collected from Scopus and analysed using a set of network analysis techniques and statistical analysis. An additional dataset of keywords was collected from the Twitter pages of engineering firms and other relevant industry organisations to assess any possible connection between industry interests and research trends. In order to present a solid analysis of the current investigations in the field, a scientometric analysis along with a rigor statistical method was adopted to carefully identify trends, detailed sub-topics, and the materials investigated in the literature. A probit regression model for testing differences between countries in recycling practices was utilised in the STATA environment. The findings show a set of network analysis and clusters that can help scholars to set their future studies based on the current advances and limitations identified in the literature. Within the dataset, 42% of publications referred to concrete waste, whilst only 2.2% included glass, 2.5% included brick, 4.3% included steel and none included wood, which shows the most common building materials have not been fully covered in the literature. Only 48 publications, or 7.4% of the dataset, originated from the three selected concrete-focused journals. It was also found that information systems appeared in the database lately; however, there is less discussion in the literature on how the integration of Geographic Information System (GIS), Buidling Information Model (BIM), 3D Printing and geo-spatial data analysis can help waste management in the field of construction. The bibliographic analysis of the selected cases shows that universities in Canada and the US exhibit more evidence of domestic collaboration and industry partnerships than universities in Australia and the UK. Additionally, there is evidence to suggest that publications with at least one industry co-author are more likely to address the issue of regulation. The outcome of this paper enables academics, engineers, and regulators to predict research trends, improve industry collaborations and utilise information systems and assign more research resources to address the identified gaps in the literature. • Developed a network of 1408 authors within the dataset and apply Total Publications metrics. • Examined the collaboration of 529 institutions within Australia, Canada, the UK, and the US. • Utilised a probit regression model for testing differences between countries in recycling practices. • Visualised an online GIS-based dashboard of landfills and recycling facilities using geo-spatial data. • Identified gaps in two different directions of material technology and management systems. [ABSTRACT FROM AUTHOR]

Energy retrofits of buildings usually ignore the amount of embodied energy and greenhouse gas (GHG) emissions needed to reduce the operating energy and related emissions. Focusing on the Greater Melbourne Area (GMA), the fastest growing capital city in Australia, this paper analyses the embodied impacts of different dwelling stock retrofit programs using a combination of a top-down and a bottom-up approach. We look at dwelling stocks that have been built before 2005 (i.e., before a minimum 5-star rating in energy performance was introduced in Australia) because these are expected to consume, without any retrofit or upgrade, about 34.9 TWh of energy or emit 8.57 × 10 6 t-CO 2 eq GHG for heating and cooling every year. Retrofit options to improve their energy star rating range from relatively cheap and easy options (e.g., draught sealing) to relatively expensive options (e.g. double glazing of windows). If all these buildings' energy efficiency is improved to the level of a 6-energy rated dwelling across the metropolitan region, we can save about 25.5 TWh per year in heating and cooling energy (or 6.25 × 10 6 t -CO 2 eq GHG each year). However, the retrofit program is estimated to consume 4.75 TWh of embodied energy, or have 1.89 × 10 6 t -CO 2 eq embodied GHG emissions. This is equivalent to 50% of the annual heating and cooling energy for the stock, or 81% of operational GHG emissions due to heating and cooling of existing dwellings. Considering the total life cycle energy and GHG emissions over the life of the buildings, although reducing the operational heating and cooling energy will remain to be the primary driver for action, the proportion of the embodied impacts’ contribution is expected to increase in the coming years especially as the implementation of net-zero energy/emissions concepts become more commonplace. [ABSTRACT FROM AUTHOR]

The increasing awareness of the undesirable environmental impact of cement-based products has led to rethinking earth construction within the digitally mechanised framework of Industry 4.0. The attempts to mechanise earth construction started nearly a decade ago, yet, the past four years have seen a surge in the intensity of research on the advanced manufacturing of earth construction. Additive manufacturing of clay-rich soil, like in cob and adobe methods, has been attracting the primary attention, while on the contrary, considerably limited research has been conducted to mechanise other methods such as rammed earth. This paper collected, reviewed, and analysed the state-of-the-art research on the advanced manufacturing of rammed earth construction, with a focus on process design aspects and machine development. Two case studies of recent digitally manufactured rammed earth projects in Australia and Switzerland were comprehensively analysed to provide a realistic feasibility assessment of the potential and technical challenges. The insights from this research provide a holistic and tangible roadmap to the digital manufacturing of rammed earth construction, which aids in making it more desirable and capable of meeting contemporary demands of the architecture and construction of Industry 4.0. • State-of-the-art advanced manufacturing methods for rammed earth construction are critically reviewed. • Two case studies of digitally manufactured rammed earth projects in Australia and Switzerland are comprehensively analysed. • Potential and challenges of advanced manufacturing for rammed earth construction are discussed. • Information for enhanced utilisation of digital techniques in rammed earth construction is provided. [ABSTRACT FROM AUTHOR]

This paper investigates the least-cost greenhouse gas (GHG) abatement pathway for a coupled energy system. We consider the roles of diverse abatement technologies, such as renewable electricity generation, biomass and carbon capture and storage (CCS), as well as sources of operational flexibility, such as peaking generators, electricity storage, transmission and electrolysis. Scenario and sensitivity analyses are applied to explore plausible pathways to energy system decarbonization. All modelled pathways to a zero-emissions energy system feature an accelerating transition from fossil fuels to renewable energy with diverse technologies playing a role. This includes variable renewable generators (VRG), CCS, and sources of operational flexibility on different timescales. Specifically, synchronous condensers appear to be a cost-effective option to control system frequency, inter-seasonal hydrogen storage in engineered caverns can play a significant and complementary role to that of pumped hydro and battery storage, and technologies that capture and sequester atmospheric carbon, including biomass-to-CCS and direct air capture (DAC), can also play a significant role in the transition to net-zero emissions. [ABSTRACT FROM AUTHOR]

Concrete is the second most used material after water and the production of cement is responsible for 5–8% of global carbon dioxide emissions. The development of low-carbon concretes is pursued worldwide to help the construction industry make its contribution to decarbonising the built environment and achieving carbon reduction targets agreed under the Paris Climate Agreement. However, there is uncertainty around the actual amount of greenhouse gas emissions that can be avoided by employing alternative types of concrete. This study quantifies the carbon footprint intensities of Australian cement and concrete production, including ordinary Portland cement, standard ordinary Portland cement concrete, blended cement-based concrete and geopolymer concrete production. For the first time, an input-output based hybrid life-cycle assessment method is used for these products. The main goal of this paper is therefore to make a methodological comparison between process-based and hybrid life cycle assessment using the Australian cement and concrete production as a case study. A comparison with published results from process-based life-cycle inventories as well as a decomposition of results into product categories is provided. The hybrid life cycle assessment resulted in higher greenhouse gas emissions for ordinary Portland cement and all types of concrete due to the methodology incorporating an economy-wide system boundary, which includes the emissions from upstream processes. For geopolymer concrete in particular, the results were also dependent on the method applied for allocating greenhouse gas emissions from fly ash and slag. The findings from this study are likely to inform the development of strategies and policies aimed at greenhouse gas reduction in the cement and concrete industries. [ABSTRACT FROM AUTHOR]

In this paper we use a form of discourse analysis to explore the ‘activity’ that three quite different sustainability reports set up as companies communicate their social and environmental performance. Our aim is to show what sustainability reports ‘do’ – in order to offer insights about what they ‘could do’. We show that the companies are using sustainability reporting strategically, and that sustainability is embedded in to the company's strategic priorities. Where they mostly narrate and argue a point of view, sustainability reporting can offer additional benefits by transiting towards dialogue. Dialogue provides stakeholders with the means to engage substantially with companies, and also introduce new discourses that may open up new directions in how companies contribute to sustainability. [ABSTRACT FROM AUTHOR]

Australia's mining sector periodically suffered huge losses both directly and indirectly from mismanagement of mine water during extreme climatic events. Mine water managers still lack cost-effective tools and strategies to manage both climate-influenced drought and flooding challenges. This paper aims to answer a fundamental question in mine water management: how much can a water sharing approach do to reduce unpermitted (unregulated) mine-affected water to overflow to the environment on a regional scale? To this end, we built a climate-driven hierarchical systems model (C-HSM) of sixteen coal mines in the Bowen Basin of Queensland, Australia. The C-HSM simulated the dynamics of the mine water systems, which was then the basis to assess the potential of mine water sharing to reduce unregulated discharge. We found that mine water sharing could greatly cut down regional unregulated discharge during the 2010–2011 wet season (which included an extreme flooding event). The cost of building such a regional-scale sharing infrastructure for redistributing water was found to be competitive to the lost revenue due to reduced coal production. The capital cost could potentially be further reduced by using existing water pipelines – such as those used for coal seam gas water management – or considering cheap transporting options. Once the sharing infrastructure has been installed, it can prevent periodic suffering of mines from climate extremes. Combined with an actively regulated discharge strategy, the water sharing approach could almost completely eliminate the unregulated discharge and maintain mine water storages at a secure level. The capital and operational cost for the combined approach can be considerably reduced and the shared water could be stored at other sites (mines, water holding ponds from coal seam gas industry) and used for water-limited periods. This is the first work that explores the theoretical potential of mine water sharing to mitigate the risk of unregulated discharge. The work presented here reveals that mine water sharing could help mine water managers respond to a sudden change in extremes such as switching from extreme ‘dry’ to extreme ‘wet’ conditions. A combined mine water sharing strategy would be worth considering by mine water managers, due to its advantages in regards to safety, relatively lower implementation costs, its effectiveness of reducing unregulated discharge that may cause environmental harm and conserving excess water for future water-limited periods. The ultimate value of water savings through a sharing scheme may be considerable as it influences mining industry's social license-to-operate in the long term, especially under conditions where there is a water security issue of decreasing availability and increasing competition. The work also highlights the benefits of systems modeling in supporting mine water managers with strategic decision making. [ABSTRACT FROM AUTHOR]

The River Torrens Catchment in Adelaide has suffered from poor water quality and flooding for decades. To address these challenges, a green infrastructure project, specifically a Linear Park, was created within the catchment. Although the project has functioned reasonably well since its implementation, its complex nature poses several management challenges. Despite the scale of this project, there is little scholarly literature available. Hence, to analyse these management challenges, this paper reviews the original project documentation, as well as regulations and policy documents together with findings from interviews with key project informants. The aim is to investigate the key drivers for implementation; the major stakeholders involved; and the challenges emerging from the multidimensional attributes of the project. The challenges relate to the inconsistent and informal management structure, the involvement of multiple stakeholders, and pressure from surrounding development. The challenges are further grouped under four main themes, including communication and collaboration, project design goals, institutional and political frameworks, and planning and development regulations. This paper argues that green governance is the key to the successful implementation and management of sustainable green infrastructure projects. The findings from this case study can inform policymakers, planners and researchers to propose appropriate scenarios to manage urban stormwater and to reclaim neglected waterways. • Linear parks have emerged as an increasingly valuable green space typology. • The morphology of a linear park can present complex issues relating to governance. • The River Torrens Linear Park exhibits such complexities. • Green governance is essential for sustainable development of linear parks. [ABSTRACT FROM AUTHOR]

Particulate matter (PM) or particle pollution include the tiny particles of dust and fly ash particles are expelled from coal-burning power plants. Coal combustion is an extremely prevalent source of air pollution, and resulting PM has substantial impacts on human health, especially in industrial zones. This paper aims to design a novel hybrid deep learning framework based on long short-term memory (LSTM) integrated with a two-stage data filtering technique to accurately predict the air quality indices (i.e., PM 2.5 and PM 10) in a chosen study region 'Miles Airport, Queensland,' that meets the needs of the coal seam gas industry in Australia. The data used to construct the novel hybrid two-stage data filtering technique based on LSTM comprising of six meteorological parameters (i.e., wind direction, wind speed, air temperature, relative humidity, solar radiation, and rainfall) and two environmental factors (i.e., ozone and total suspended particulate). In the first stage, two robust feature selection methods, namely, extreme gradient boosting (XGBoost) and the classification and regression tree (CART) approach, were adopted to explore the most significant predictors. Then in the second stage, the best subset regression (BSR) technique is utilized to determine the best subsets input combinations i.e., C1, C2, and C3 based on several particular metrics. The three BSR-based input combinations were employed in the LSTM model to estimate the PM 2.5 and PM 10. Furthermore, to validate the main hybrid framework, two advanced machine learning (ML) methods (i.e., LightGBM and ridge kernel regression (KRR)) and two traditional ML methods (i.e., Adaptive neuro-fuzzy inference system (ANFIS) and multilayer perceptron neural network (MLP)) were hybridized with the multi-level data filtering strategy by examining the optimal input combinations. Several statistical metrics, graphical tools, and diagnostic analyses evaluated the hybrid models. The outcomes of the PM 2.5 simulation based on 2375 data samples showed that the LSTM-C3 containing all the selected predictors yielded the most promising accuracy, followed by the LightGBM-C3 and MLP-C3 models. On the other hand, the simulation of PM 10 distribution demonstrated that the LSTM-C3 was superior to other models, followed by the KRR-C3 and LightGBM-C3 models. [ABSTRACT FROM AUTHOR]

Despite considerable mitigation efforts, global emissions from the electricity sector continued to grow in recent years. In Australia, the electricity sector is the largest CO 2 -emitting industry, contributing 35% of the country's total greenhouse gas emissions. The Australian government targets an 80% reduction of greenhouse gas emissions by 2050 relative to 2010. With a large variety and quantity of renewable energy resources, it is technically feasible and seems indispensable that Australia's electricity sector be largely decarbonised by 2050 in order to achieve this target. In this paper, scenario-based hybrid Life-Cycle Assessment is applied to calculate the economy-wide carbon footprints of seven electricity generation technologies in scenarios with differing renewable electricity penetration. This work is the first to apply a full life-cycle approach to scenario analysis of electricity generation in Australia. The findings are at the higher end of previously reported carbon footprint intensity ranges and above median values. However, even when taking into account indirect emissions along the technologies' life-cycles, the results indicate that the employment of different renewable energy technologies can potentially save a considerable fraction of Australia's greenhouse gas emissions. This makes renewables an essential option for climate change mitigation. [ABSTRACT FROM AUTHOR]

Globally, centralised urban water systems are under pressure to respond to environmental and economic pressures. In Australia, high infrastructure costs and variable rainfall have prompted governments, end-users and property developers to begin investing in more decentralised systems that use alternative water sources (rainwater, stormwater and wastewater). This trend is based on a fit-for-purpose principle and is part of a global shift toward sustainable urban water management. These developments suggest that Australia's urban water sector may be in the early stages of transition and represent a multi-decadal shift from centralisation of water supply and sanitation to partial decentralisation based on local conditions. Much of the scholarship on decentralised systems focuses on drivers and barriers to adoption, which implies a static and mechanistic process of change, and overlooks the complex interplay between exogenous pressures, innovation, multiple actors and industry reform. This paper addresses this gap by analysing temporal processes of Australia's urban water sector, using a regionally based case study comprising an historical review and interview study that analyses the multi-level, -decadal and -actor developments at the nexus between water service provision and property development. The analysis revealed emerging tensions between incumbent water utilities, property developers and end-users, and an inherent conflict between neo-liberal and environmental policy agendas. Such tensions and conflicts are missing from urban water policy and research discourse. [ABSTRACT FROM AUTHOR]

If engineers are to provide sustainable innovations for future societies, engineers should be able to think and act beyond pure technical competence. This is stressed in political and accreditation frameworks all over the world, and universities are trying to respond to this demand. However, in many cases, sustainability practices seem fragmented and there is a lack of knowledge of strategies and few clear examples of good practice. In this paper, activities to integrate sustainability in two engineering institutions, one in Denmark and one in Australia, are systematically compared to provide an understanding of different kinds of activities and their internal as well as external enablers. A conceptual framework to provide overview of education for sustainability activities and their enablers has been proposed, where activities are related to actors and resources at both university and national levels. The conceptual framework has been developed iteratively – moving back and forth trying to find a suitable structure to capture the contextual pillars of the activities in the two cases, using state-of-art within the research field of education for sustainable development to fill out potential blind spots in the case-material and, finally, continuously shaping the storylines in the two cases to provide the needed overview and understanding of the similarities and differences of the approaches. The interplay between the framework and the case-stories provides a platform for change, as the framework does not only create an overview of activities, it also points out potential routes not taken, and the case studies provide examples of activities, which can be transferred with careful consideration to the internal as well as external context. [ABSTRACT FROM AUTHOR]

The community is the basic unit of urban development, and appropriate assessment tools are needed for communities to evaluate and facilitate decision making concerning sustainable community development and reduce the detrimental effects of urban community actions on the environment. Existing research into sustainable community rating tools focuses primarily on those that are internationally recognized to describe their advantages and future challenges. However, the differences between rating tools due to different regional conditions, situations and characteristics have yet to be addressed. In doing this, this paper examines three sustainable community rating tools in Australia, namely Green Star-Communities PILOT, EnviroDevelopment and VicUrban Sustainability Charter (Master Planned Community Assessment Tool). In order to identify their similarities, differences and advantages these are compared in terms of sustainability coverage, prerequisites, adaptation to locality, scoring and weighting, participation, presentation of results, and application process. These results provide the stakeholders of sustainable community development projects with a better understanding of the available rating tools in Australia and assist with evaluation and decision making. [ABSTRACT FROM AUTHOR]

The World Wide Web can enhance the communication of social and environmental issues, commonly referred to as sustainability communication. This paper explored the factors that influence the use of the web for sustainability communication. Previous literature identified economic factors, internal organisational factors and external stakeholder influences as particularly influential. This case study, in the context of three Australian mining companies, and through the use of interviews and website monitoring, expands upon the literature by confirming these factors and by identifying two additional factors that impact the corporate use of the web for sustainability communications. These are referred to as the “double-edged sword” and organisational restructuring. This study, through a focus on a particular communication medium, the web, and a socially and environmentally sensitive industry, the Australian minerals industry, highlighted that the impact of the medium used for sustainability communication requires conceptual insights that extend beyond the current understanding of sustainability accounting and reporting. In addition to this theoretical contribution, this study contributes to the emerging web-based sustainability communication literature, and provides insights to companies and their stakeholders into future use of the web for communication of social and environmental issues. [ABSTRACT FROM AUTHOR]

Corporate Sustainability Indicators (CSI) provide the potential to integrate economic, social and environmental information. This research developed CSI for a major Australian diversified resources company and engaged with expert stakeholders in determining the indicators' value and explanatory capacity. It was found that these CSI integrate the company's reported economic, social and environmental issues into specific usable trend markers for business and environmental analysts. The findings provided support for these indicators at a general, as well as at a specific, project level. This paper highlights that the use of these indicators will assist in the management of the company and in informing stakeholders, particularly with regard to corporate impacts on the environment, climate and broader society. It is also suggested that for corporate sustainability indicators to be effectively utilized, there is a need for consensus among organizations and their stakeholders in relation to the use of these indicators. [ABSTRACT FROM AUTHOR]

There is growing consensus that to effectively respond to the urgency of the global climate emergency we require a new model of what it means to be sustainable. Regenerative development provides a compelling alternative by seeking to realign our efforts in a participatory and co-evolutionary relationship with nature to create the conditions necessary for a healthy life into the future. Practical applications of regenerative development have therefore begun to emerge, especially at a precinct scale. However, few studies have investigated the underlying processes and decisions that have enabled their emergence. This paper conducts a qualitative investigation into the decision-making approaches of four case study precincts across Australia that are aligned with regenerative development to provide the foundation to inform future decision-making practices in the built environment. Key findings of this investigation are presented as themes that help provide an understanding of the key decisions that can enable a precinct to achieve its positive value adding potential. These key findings are seen as an important first step towards informing the future development of a decision-making framework for regenerative precinct development. [ABSTRACT FROM AUTHOR]

This study considers the emissions implications of co-combusting imported ammonia in coal-fired power stations. The study adopts a supply chain approach, estimating the emissions reduction potential of 20% ammonia co-combustion in coal-fired power stations in the country of use, and the emissions associated with ammonia production in the country of origin. The paper considers the emissions implications of using different ammonia production technologies: Haber-Bosch (HB) ammonia production with hydrogen generated from steam methane reforming using natural gas (SMR), with and without carbon capture and storage (CCS); Haber-Bosch ammonia production with hydrogen generated from renewable sources; and fully renewable electricity generated ammonia. The empirical setting of the study is an ammonia supply chain encompassing Japan and Australia. The results show co-combustion of ammonia produced with SMR-HB provides no net benefit for the combined country emissions, as ammonia production related greenhouse emissions in Australia are equivalent to the emission reductions in Japan. In contrast, co-firing ammonia produced from fully renewable sources reduces emissions in the two countries in 2030 by 43 MT per annum. SMR-HB processes with varying levels of CCS reduce annual emissions by 16–34 MT. Based on the results, different policy options are suggested for managing the emissions associated with a Japan-Australia ammonia supply chain. • Japan actively pursuing ammonia/coal co-combustion to reduce power sector greenhouse gas emissions. • An Australia-Japan ammonia supply is examined at a country boundary emissions basis. • Choice of ammonia manufacturing approach has significant impact on emissions. • 40 MT pa saving in Japan offset by 39 ± 11 MT pa increase in Australia from Best Available Technology. • Only a fully renewable ammonia manufacturing process reduces emissions in both Australia and Japan. [ABSTRACT FROM AUTHOR]

The electrification of large-scale bus depots will bring challenges for bus depot operators (BDOs) aiming to minimize operational costs. A potential solution for BDOs managing electric buses (EBs) with large batteries that are capable of vehicle-to-grid (V2G) operational functionalities, along with on-site generation facilities, is to actively participate in the energy market. This paper proposed a novel two-stage multi-objective stochastic optimization-based energy management system (EMS) for BDOs to trade energy in a day-ahead (DA) energy market while considering the expected cost of energy imbalances in the real-time (RT) market. The optimization model for charge–discharge scheduling is based on a mixed-integer linear programming approach. The uncertainties associated with the DA forecast are complemented by a stochastic model. Minimizing the cost of electricity and the penalty costs for battery capacity degradation are the objectives that need to be met simultaneously. The proposed EMS is evaluated using simulation studies considering a hypothetical bus depot in Australia. The effectiveness of the proposed EMS for overall financial savings is validated by comparing its performance with state-of-the-art scheduling strategies. Results show that the net energy cost for the proposed EMS is 38% lower compared to a deterministic scheduling strategy that does not allow V2G flexibilities, 33% lower compared to a deterministic scheduling strategy that allows V2G flexibilities and 17% lower compared to a stochastic scheduling strategy that minimizes overall costs. [ABSTRACT FROM AUTHOR]

Due to significant weather variabilities of rainfalls, potential water savings through rainwater tanks are expected to vary significantly. Moreover, within some large cities, significant spatial variations are reported. With the emerging impacts of climate change, existing weather and spatial variabilities of potential water savings are also likely to be changed, which are unknown to the end-users. This paper presents the impacts of climate change on current weather and spatial variabilities of potential water savings for Adelaide, a large city in Australia. Future daily rainfall data was collected from a data portal provided by the Australian government derived through a statistical downscaling modelling. Projected daily rainfall data was fed to an earlier developed daily water balance model (eTank) to calculate water savings for three future periods; 2030–2050, 2055–2075 and 2080–2100. Three weathers (dry, average and wet) in each period were considered along with two climate change scenarios (RCP 4.5 and RCP 8.5) and two tank sizes (5 kL and 10 kL). It is found that varying outcomes without any general trend are expected depending on the projection scenario, period and weather condition. Contrary to the general perception, it is found that in several cases, the potential water savings are expected to increase compared to the current climate. Most of those expected increases in water savings are attributed to the projection scenario of RCP 4.5, in the near future and in dry years. In the far-future and with the projection scenario of RCP 8.5, most of the potential water savings are expected to decrease compared to the current climate. Regarding changes in spatial variability of water savings, it is found that the spatial variability will decrease in the near future, but will increase towards the far future. [ABSTRACT FROM AUTHOR]

Household food waste occupies the lion share of the total food waste in developed countries and engenders substantial economic and environmental costs around the globe. It is a complex, multifaceted problem and is a key component of national food waste reduction plans. Although the factors that influence food waste are known, the magnitude of their relative effect on household food waste is not well understood. Using a large national-level data set (n = 3756) and a count regression modelling approach, this paper analyses a range of behavioural and socio-demographic factors that influence household food waste in Australia. Findings reveal that food storage practices, leftover cooking skills, dining out behaviour, grocery spending and the frequency of grocery shopping are significant drivers of food waste at the household level. The study concludes that household food waste reduction strategies should focus on routinised food-related behaviours and initiatives on improving overall food management skills in order to reduce food waste effectively. [ABSTRACT FROM AUTHOR]

Approximately 5%–7% of global Carbon Dioxide (CO 2) emissions can be attributed to Ordinary Portland Cement (OPC), which has traditionally been used as the primary binder in concrete. Geopolymer concrete has been widely claimed to have lower global warming potential than OPC concrete, and this claim has formed the basis of many studies examining mix designs and mechanical properties of geopolymer concretes. A major limitation with the vast majority of existing studies is a lack of the direct quantification of the global warming potential of the materials developed. That is, the underlying assumption in the majority of these studies is that geopolymer concrete is more sustainable than OPC based concretes. The aim of this paper is to quantify the CO 2 equivalent (CO 2-eq) emissions associated with production of a large number of previously developed mix designs (1404 mix designs from 110 studies) including the impacts of curing, allocation and transportation and allowing for variation in energy grid source and the production of the activator solution. When considering the impact of transportation, a case study based on five major capital cities in Australia is presented and the critical transport distances at which the manufacture of geopolymers becomes more emissions intensive than conventional concrete is identified. The results show that the relative CO 2-eq emissions of geopolymer and OPC based concretes of the same strength, are highly dependent on the system boundary for analysis, the type of allocation scenario and material transportation distances and mode, and further, that depending on these factors geopolymer concretes can either have significantly lower, or significantly higher CO 2-eq emissions than OPC concretes of the same strength. It is expected that the findings of this work can aid in specifying the optimal concrete types for reducing CO 2-eq emissions considering the intended use of the concrete. [ABSTRACT FROM AUTHOR]

Accurate forecasting of wind power generation plays a key role in improving the operation and management of a power system network and thereby its reliability and security. However, predicting wind power is complex due to the existence of high non-linearity in wind speed that eventually relies on prevailing weather conditions. In this paper, a novel hybrid deep learning model is proposed to improve the prediction accuracy of very short-term wind power generation for the Bodangora wind farm located in New South Wales, Australia. The hybrid model consists of convolutional layers, gated recurrent unit (GRU) layers and a fully connected neural network. The convolutional layers have the ability to automatically learn complex features from raw data while the GRU layers are capable of directly learning multiple parallel sequences of input data. The data sets of 5-min intervals from the wind farm are used in case studies to demonstrate the effectiveness of the proposed model against other advanced existing models, including long short-term memory, GRU, autoregressive integrated moving average and support vector machine, which are tuned to optimise outcome. To further evaluate the efficacy of the proposed model, another data set taken from the Capital wind farm in Australia is used. It is observed that the hybrid deep learning model exhibits superior performance in both the data sets over other forecasting models to improve the accuracy of wind power forecasting, numerically for the Bodangora wind farm, up to 1.59 per cent in mean absolute error, 3.73 per cent in root mean square error and 8.13 per cent in mean absolute percentage error. [ABSTRACT FROM AUTHOR]

The Australian affordable rental housing sector has historically faced barriers to green building (GB) adoption due to issues of split-incentives, despite financial support from the commonwealth. This paper explores how a recent shift towards bond-based funding mechanisms offer an opportunity to integrate green building practices, and influence regional social, environmental and economic outcomes. A novel system dynamics model is developed to forecast a business as usual (BAU) and green-building scenario framed around the recently introduced Australian Affordable Housing Bond Aggregator (AHBA) policy framework. The purpose of the model is to examine how a mandate on green building standards together with the use of green versus conventional bonds impact social, environmental and economic outcomes of the framework over a 20-year horizon, within the South East Queensland metropolitan area of Australia. The study determined that the green building framework would deliver 2.37% less housing overall due to higher initial capital costs. However, offers substantial long-term energy and water efficiency benefits, improved affordability for tenants due to reduced utility costs, deferred water and energy infrastructure benefits, and considerable contributions towards Australia's carbon emission reduction targets. Tenants are expected to benefit from a 45–59% reduction in energy and a 27% decrease in water bills. Moreover, a shift to affordable green building policy could contribute to 2.9% of Australia's Conference of Parties (2030) carbon emissions reduction target if applied nationally. The study concludes with a sensitivity analysis to reveal policy refinement recommendations that would yield the benefits of green affordable housing without sacrificing the small reduction in housing stock delivered by the proposed program. • A System dynamics model is applied to determine affordable housing policy outcomes. • A business as usual versus green building policy scenario are compared and analysed. • Three policy recommendations are presented to improve the GB scenario. • GB policy benefits are substantial therefore developer grant scheme is recommended. [ABSTRACT FROM AUTHOR]

A global trend for developing sustainable transport infrastructure by adopting various sources of recycled material is being promoted by researchers and media daily. Recycling End of Life Tyres (EOLTs) in the form of Crumb Rubber (CR) builds on decades of past tradition. Local councils in Australia welcome recycling practices and sustainability although a general lack of guidelines is commonly acknowledged for low-traffic roads. This paper evaluates the benefits of low-content crumb rubber modified bitumen (CRMB) for its application on Australian local roads, often exposed to very hot summer temperatures. Blending conditions play a vital role in CRMB; these include temperature, mixing duration and applied shear rate or shear mixer speed. In this study, the influence of blending conditions on the physical, chemical, thermal and rheological properties of low-content CRMB is investigated. Two shear mixing rates (700 and 3500 rpm) and three mixing durations (30, 60 and 90 min) were chosen and rubber-modified blends were prepared with 7.5% CR. Rheological tests such as master curve, black diagram, Cole-Cole analysis, and Multiple Stress Creep Recovery were investigated. It was observed that the mixing duration has minimal effect on low-content CRMB, however, the applied shear rate has an impact in the sense that it produces a relatively stiffer – and oxidised – blend at higher mixing speeds. This was also correlated to the outcome from Fourier Transform InfraRed analysis (FTIR). Overall, the use of low-content CRMB in local Australian roads can significantly improve the rutting performance while facilitating the recycling of end-of-life tyres. • Local councils can benefit by using end-of-life tyres for their road assets. • Low-content crumb rubber-modified bitumen was evaluated for local roads. • Blending conditions affected the chemo-rheological properties of modified bitumen. • Higher mixing speed induces ageing in low-content rubber-modified bitumen. • Addition of small amounts of rubber significantly improves rutting resistance. [ABSTRACT FROM AUTHOR]

Domestic food waste (DFW) is an important policy issue because it represents inefficiencies in supply chains and consumption behaviour, creates pressures on urban landfills, and causes downstream environmental impacts such as greenhouse gas (GHG) emissions and odour from landfills. However, the evaluation of proposals to minimise or treat food waste, such as through separate disposal streams, is difficult because those impacts are not registered through normal market price signals. This paper presents non-market valuations for a hypothetical kerbside DFW collection service from a survey of households in two local government areas in the Central Queensland region, Australia. Choice modelling (CM) and contingent valuation methods (CVM) were employed to elicit potential participation and estimate willingness to pay (WTP) of the community for a domestic food waste collection service. Latent class analysis results for the sub-groups supporting an improvement option revealed that cost, odour and fortnightly collection frequency limit both WTP for and participation in the potential kerbside collection program. While there was support because it would extend the lifespans of the local landfills, potential reduction of methane emissions was not a strong driver. No difference in support or willingness to pay could be identified between the two local government populations. While the CVM results showed a WTP of $30.42 and a 58% participation rate for the proposed option, the latent class models showed that potential participation and willingness to pay varied across negative, indifference and positive sub-samples. This study provides a useful example of how a new policy option to improve waste management at a local area level might be evaluated, where the willingness to pay estimates can be factored into a benefit cost analysis and the estimates of likely support or opposition can be inputted into a political economy framework. • The study assessed household preferences to reduce domestic food waste. • Stated preference experiments were used to estimate WTP for reduction options. • Behavioural and attitudinal factors were important in explaining choices. • Two-stage contingent valuation models estimated both participation and WTP. • Latent class analysis models were used to classify responses to key attributes. [ABSTRACT FROM AUTHOR]

The wine industry has been dedicating increasing efforts to considering the sustainability of the environment. Various approaches have been implemented to reduce the industry's carbon footprint. With over 40 million wine tourists globally, cellar door operations have become an important distribution channel, especially for the financial sustainability of small and medium-sized wineries, but this component has not been addressed in existing environmental life cycle assessments. This paper presents a methodology for measuring the carbon footprint of wine tourism and cellar door sales based on a combination of the bottom-up and the top-down approaches. In the case of Australia, we find both domestic and international wine tourism lead to substantially higher carbon emissions than the standard wine distribution channels. The difference can be more than 100 fold per bottle of wine. In addition, the benchmarking analysis indicates that cellar door sales may become the most carbon intensive component across all life cycle stages of wine. This information offers an opportunity to evaluate the environmental trade-offs that maybe involved in obtaining the numerous benefits of wine tourism, and to consider ways of minimizing wine tourism-related carbon emissions in the future. • A method for assessing the carbon emissions of direct-to-consumer "cellar door" sales to wine tourists is proposed. • The impacts of domestic and international wine tourism in Australia are evaluated and benchmarked. • Selling wine to tourists has a much larger carbon footprint than distributing through retailers. • Wine tourism and cellar door sales may be the most carbon intensive component across all wine production and consumption stages. • This methodology is a useful tool for predicting and monitoring the economic and environmental trade-offs of wine tourism. [ABSTRACT FROM AUTHOR]

Rainwater harvesting (RWH) has become a popular water saving and conservation means across the globe. In many cities, a pre-determined rainwater tank size is generally selected without a detail water balance modelling at the location on interest. However, to achieve maximum benefit from a RWH system at a given location, it is desirable to design the system based on the site specific conditions (e.g. local rainfall and loss characteristics) and other relevant design parameters. There have been limited studies on regionalization of RWH system, which can account for the spatial variability in rainfall, loss and water demand characteristics over a given region to provide site-specific design of RWH system. This paper presents a RWH regionalization approach to develop a set of design curves, which assist in the selection of an adequate RWH system at a given location. We use rainfall data from 159 rain gauges across the Greater Sydney region in Australia to develop and test the proposed regionalization approach. It has been found that there is a significant variation in rainfall characteristics across Greater Sydney region and that a common tank size across this region does not present an adequate solution. It has been found that a 5 kL tank can achieve a reliability (i.e. percentage of days the RWH can meet the given demand) of 31–93% for four people depending on the location in the Greater Sydney region and the types of water use. The developed regional design curves could result in increased water savings across Greater Sydney. The proposed regionalization approach can be adapted to other cities across Australia and the world which present a high rainfall gradient. • Water savings by rainwater harvesting at 159 locations in Sydney are evaluated. • Reliability of a rainwater tank is moderately correlated with mean annual rainfall. • A set of design curves is developed for Sydney to enhance rainwater harvesting. [ABSTRACT FROM AUTHOR]

Despite the global context, only 6% of Australia's total energy consumption was derived from renewables, while 86.3% of electricity was generated from fossil fuels. However, this trend has been disrupted by the recent decommissioning and closure of a fleet of ageing coal power plants, along with the country's international commitments to reduce fossil fuel emissions. Currently, Australia is at a crucial stage of its transition to renewable energy adoption. With the purpose of providing an updated depiction of renewable energy, related policy and the way ahead in the Australian context, this research paper presents a systematic review of contemporary literature from the perspectives of energy potential, utilisation and policy incentives. The research analysed a total of 118 documents using an interpretivist epistemological lens; emergent findings offer an evidence-based, lucid account of advancements in the renewable energy market. Polynomial regression analysis is also conducted on secondary data obtained from the literature to predict trends in the electricity generated by different sources of renewable energy. The work also identifies several areas that require attention, including: (1) the most recent time-varying feed-in tariffs (TV FiTs) which offer the innate potential to alter consumer attitudes toward power usage at peak times, thereby improving grid security; (2) the increasingly popular integration of waste-to-energy with other sources of renewable energy emerges as a viable complementary solution to meet energy demands; (3) the increasing utilisation of subsidised geothermal energy installations which are set to rise exponentially in the future; and (4) the use of Public Private Partnerships (PPP) for developing renewable energy generation infrastructure and how this investment may facilitate the national transition to renewable energy adoption. This research contributes to the existing body of knowledge by raising awareness of the current state of renewable energy in Australia, along with proposing pragmatic recommendations for overcoming any challenges posed. As a comprehensive reference, this study provides practitioners and policymakers with thorough, reliable and collated information on Australia's current renewable energy position. [ABSTRACT FROM AUTHOR]

This study presents an estimation of electrical and electronic equipment (EEE) products put-on-market (PoM), electronic-waste (e-waste) generation and the stock of EEE products in Australia from the year 2000–2047, considering seven categories that encompass 51 different types of product. Holt's double-exponential smoothing and dynamic lifespans (using the Weibull distribution function) are applied to compute past and future PoM and in e-waste generation, respectively. With the estimation, it is found that EEE PoM was increased from 470 kilo tons (kt) to 2135 kt in a timeframe of 2000–2015. On the other hand, e-waste generation was 115 kt in the year 2000, which then increased to 485 kt in the year 2010. For the projected period (2018–2047), the annual average growth of e-waste generation will be around 3%. E-waste generation will increase, particularly for large household appliances (LHA), small household appliances (SHA) and consumer equipment (CE), in terms of weight. This study evaluates the potentially recoverable material and revenue potential of regulated products (e.g., computer, televisions and other IT peripherals currently considered under the national television and computer recycling scheme (NTCRS) and mobile phones) and e-waste generated outside of the current product coverage. The gap between revenue generation from regulated and non-regulated products is quantitatively assessed for the first time and reported in this paper. Sensitivity and uncertainty analysis performed by Monte Carlo simulation showed the robustness and accuracy of this study. This quantification will provide invaluable insights to policymakers, including products in future legislative reform as well as the development of the recycling industry in Australia. Furthermore, this study presents a transparent process of calculation for time-series data that can be used for e-waste generation estimation for other countries, as well. • E-products put-on-market, e-waste generation, and stock in Australia were estimated. • The potentially recoverable material and revenue potential were evaluated. • The revenue generation gap between NTCRS and unregulated e-products was assessed. [ABSTRACT FROM AUTHOR]