ORCID Profile
0000-0002-6013-3505
Current Organisation
Griffith University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Environmental Management | Water Resources Engineering | Environmental Science and Management | Regional Analysis and Development | Digital and Interaction Design | Artificial Intelligence and Image Processing | Urban and Regional Studies (excl. Planning) | Decision Support and Group Support Systems | Water resources engineering | Aboriginal and Torres Strait Islander Information and Knowledge Systems | Conservation | Urban and Regional Planning | Human Geography | Environmental Monitoring | Engineering Systems Design | Applied Ethics | Building Construction Management and Project Planning | Aboriginal and Torres Strait Islander Policy | Environmental Technologies | Environmental Engineering Modelling | Artificial life and complex adaptive systems | Environmental Engineering | Civil Engineering | Environmental Engineering Modelling | Pattern Recognition and Data Mining | Civil engineering | Professional Ethics (incl. police and research ethics) | Water And Sanitary Engineering | Urban Policy |
ANZSRC Socio-Economic Objective (SEO)
Urban and Industrial Water Management | Management of Water Consumption by Information and Communication Services | Aboriginal and Torres Strait Islander Development and Welfare | Water Services and Utilities | Residential Energy Conservation and Efficiency | Environmental Lifecycle Assessment | Management of Water Consumption by Energy Activities | Residential and commercial | Urban Water Evaluation (incl. Water Quality) | Workplace and Organisational Ethics | Consumption patterns, population issues and the environment | Justice and the Law not elsewhere classified | Sustainability Indicators | Rural Water Evaluation (incl. Water Quality) | Climate Change Adaptation Measures | Construction Processes not elsewhere classified | Water services and utilities | Environmental Health
Related Links
Publications
Energy storage system utilisation to increase photovoltaic penetration in low voltage distribution feeders
Publisher: Elsevier BV
Date: 12-2017
Modelling the impacts of water efficient technologies on energy intensive water systems in remote and isolated communities
Publisher: Springer Science and Business Media LLC
Date: 07-2016
Autonomous VPS-Based Manganese Prediction System for Sub-Tropical Water Reservoirs
Publisher: Elsevier BV
Date: 2014
Showering behavioural response to alarming visual display monitors: longitudinal mixed method study
Publisher: Informa UK Limited
Date: 07-2013
An intelligent pattern recognition model to automate the categorisation of residential water end-use events
Publisher: Elsevier BV
Date: 09-2013
Spatial Bayesian Network for predicting sea level rise induced coastal erosion in a small Pacific Island
Publisher: Elsevier BV
Date: 05-2019
DOI: 10.1016/J.JENVMAN.2019.03.008
Abstract: An integrated approach combining Bayesian Network with GIS was developed for making a probabilistic prediction of sea level rise induced coastal erosion and assessing the implications of adaptation measures. The Bayesian Network integrates extensive qualitative and quantitative information into a single probabilistic model while GIS explicitly deals with spatial data for inputting, storing, analysing and mapping. The integration of the Bayesian Network with GIS using a cell-by-cell comparison technique (aka map algebra) provides a new tool to perform the probabilistic spatial analysis. The spatial Bayesian Network was utilised for predicting coastal erosion scenarios at the case study location of Tanna Island, Vanuatu in the South Pacific. Based on the Bayesian Network model, a rate of the island shoreline change was predicted probabilistically for each shoreline segment, which was transferred into GIS for visualisation purposes. The spatial distribution of shoreline change prediction results for various sea level rise scenarios was mapped. The outcomes of this work support risk-based adaptation planning and will be further developed to enable the incorporation of high resolution coastal process models, thereby supporting localised land use planning decisions.
The potential role of desalination in managing flood risks from dam overflows: the case of Sydney, Australia
Publisher: Elsevier BV
Date: 11-2016
Residential water heaters in Brisbane, Australia: Thinking beyond technology selection to enhance energy efficiency and level of service
Publisher: Elsevier BV
Date: 10-2014
Pathways to enhanced value creation from the international technology transfer process in Thai construction projects
Publisher: Emerald
Date: 10-10-2008
DOI: 10.1108/14714170810912671
Abstract: International technology transfer (TT) initiatives are essential for developing the necessary infrastructure which underpins the sustainable development of economics and living standards in newly industrialised and developing countries. However, these initiatives have rarely translated into enhanced capabilities and competitiveness within host country firms, resulting in a sustained reliance on foreign firms. With few clues as to how to effectively manage the TT process, many stakeholders from the construction sectors of developing countries lack direction on how to more rapidly diffuse best‐practice technology. This paper aims to address the issues. In an attempt to better understand, the international TT process on Thai construction projects a path model was developed and later implemented. The path model development stage utilised the questionnaire survey response of 162 Thai construction and engineering professionals that had exposure to construction projects which incorporated international TT initiatives. A rigorous statistical analysis process which employed ANOVA, exploratory factor analysis, confirmatory factor analysis and structural equation modelling was followed to formulate the robust path model. The path model implementation stage utilised a series of case studies to validate the significant path equations in the developed model. This stage solicited questionnaire survey responses from 47 Thai construction and engineering professionals working for five domestic firms which were contractually involved with foreign partners on four large construction projects. The findings provide evidence that transferors must have appropriate characteristics (i.e. willingness, knowledge base, experience, management, etc.) for establishing solid relationships with the transferee. Moreover, relationship building (RB) between the transferor and transferee (i.e. trust, understanding, communication, etc.) is the key enabler to TT induced value creation for the host construction sector. The developed model empirically explains interactions between TT process enablers and outcome factors in the construction context. The model can assist government and private sector organisations from developing and newly industrialised countries to better evaluate the TT induced value creation process for the host construction sector. In this context, improved TT evaluation can help such organisations to devise targeted strategies for accelerating rates of TT, which will ultimately decrease their reliance on foreign firms when procuring large‐scale infrastructure projects.
Water security through scarcity pricing and reverse osmosis: a system dynamics approach
Publisher: Elsevier BV
Date: 02-2015
A novel voltage stability and quality index demonstrated on a low voltage distribution network with multifunctional energy storage systems
Publisher: Elsevier BV
Date: 06-2019
Effect of Cross-Departmental Collaboration on Performance: Evidence from the Federal Highway Administration
Publisher: MDPI AG
Date: 27-05-2021
DOI: 10.3390/SU13116024
Abstract: Cross-departmental collaboration, one of the most salient administrative reforms, has been promoted to resolve cross-jurisdictional administration issues over the previous three decades. Nearly all previous empirical studies have examined the direct impact of cross-departmental collaboration on organizational performance without accounting for the indirect effects of managerial practices. Using data from the Federal Highway Administration, this study develops an integrated structural equation modeling and Bayesian network model used to examine both direct and indirect impacts of cross-departmental collaboration on organizational performance. The structural model indicates that cross-departmental collaboration has a direct effect on organizational performance and indirect effects through its influence on resource acquisition and knowledge creation. The scenario-based simulation suggests the optimal integration of managerial actions to improve agency performance, which is achieved by encouraging cross-departmental collaboration and supporting the knowledge creation process. Finally, implications are provided to present practical managerial actions from the Federal Highway Administration as an exemplar for other highway agencies.
Model of the Russian Federation Construction Innovation System: An Integrated Participatory Systems Approach
Publisher: MDPI AG
Date: 15-08-2016
DOI: 10.20944/PREPRINTS201608.0143.V1
Abstract: This research integrates systemic and participatory techniques to model the Russian Federation construction innovation system. Understanding this complex construction innovation system, and determining the best levers for enhancing it, requires the dynamic modelling of a number of factors such as flows of resources and activities, policies, uncertainty and time. To build the foundations for such a dynamic model, the employed study method utilised an integrated stakeholder-based participatory approach coupled with structural analysis (MICMAC - Matrice d'Impacts Crois& eacute s Multiplication Appliqu& eacute e & agrave un Classement Cross-Impact Matrix). This method identified the key factors of the Russian Federation construction innovation system, their causal relationship (i.e. influence/dependence map) and ultimately a causal loop diagram. The generated model reveals pathways to improving construction innovation in the Russian Federation, and underpins the future development of an operationalised systems dynamic model.
Integrated modelling and management of manganese for a conventional potable water treatment plant
Publisher: Elsevier BV
Date: 02-2021
Smart Metering and Water End-Use Data: Conservation Benefits and Privacy Risks
Publisher: MDPI AG
Date: 19-08-2010
DOI: 10.3390/W2030461
Smart Technologies in Reducing Carbon Emission
Publisher: ACM
Date: 24-02-2017
A systematic literature review of forecasting and predictive models for cyanobacteria blooms in freshwater lakes
Publisher: Elsevier BV
Date: 09-2020
Using AHP technique to evaluate the situation of construction e-procurement institutionalization
Publisher: IOP Publishing
Date: 06-2020
DOI: 10.1088/1757-899X/869/6/062049
Abstract: This study focuses on evaluating the situation of e-procurement institutionalization in the construction industry under three perspectives including internal organization, operational clusters, and industrial supports. Data collected by in-depth structured interviews with key managers from within a s le of 31 Vietnamese construction firms was analyzed to assign weights to measures through the AHP technique. The results can be used by business managers to build an effective action plan toward e-procurement sophistication and by government policy makers to formulate targeted supportive programs for e-procurement in the Vietnamese construction industry.
A clustering solution for analyzing residential water consumption patterns
Publisher: Elsevier BV
Date: 12-2021
FPGA startup through sequential partial and dynamic reconfiguration
Publisher: Springer Netherlands
Date: 2011
Six-sigma as a strategy for process improvement on construction projects: A case study
Publisher: Informa UK Limited
Date: 04-2006
Systems approach to end-of-life management of residential photovoltaic panels and battery energy storage system in Australia
Publisher: Elsevier BV
Date: 12-2020
Innovation diffusion process in the Australian construction industry
Publisher: IOP Publishing
Date: 10-2019
DOI: 10.1088/1757-899X/652/1/012001
Abstract: Innovation diffusion process is an important component for construction companies to remain competitive in today’s changing business environment. The aim of this study is to examine how innovations in the Australian construction industry can be understood through innovation diffusion theories and empirical works. To achieve this goal, the author reviewed theoretical frameworks, and then analysed empirical works to shed light on the innovation diffusion in practice. The review found that effective innovation diffusion has played an important role in providing organizations with competitive advantages. From a socio-psychological perspective, leadership and team climate have had a direct effect on organizational culture, which indirectly impacts on innovation diffusion outcomes and business performance. Emphasizing the drivers and obstacles of innovation diffusion is also necessary to effectively develop a conceptual framework of innovation diffusion at project level which begins with knowledge and idea generation, and progresses to implementation and confirmation.
Offsite construction supply chain strategies for matching affordable rental housing demand: A system dynamics approach
Publisher: Elsevier BV
Date: 10-2021
Multi-Parameter Compensation Method for Accurate In Situ Fluorescent Dissolved Organic Matter Monitoring and Properties Characterization
Publisher: MDPI AG
Date: 27-08-2018
DOI: 10.3390/W10091146
Abstract: The recent deployment of fluorescent dissolved organic matter (fDOM) probes in dam catchments and drinking water treatment plants (DWTP) for water quality monitoring purposes has resulted in the production of a large amount of data that requires scientific evaluation. This study introduces a comprehensive, transferable methodological framework for scientists and water professionals to model fluorescence site-specific quenching on fDOM probe readings caused by temperature, suspended particles, and the inner filter effect (IFE) and applies it to an Australian subtropical reservoir. The findings revealed that quenching due to turbidity and IFE effects were best predicted by threshold autoregressive models. Raw fDOM probe measurements were validated as being more reliable if they were systematically compensated using the proposed procedure. The developed fDOM compensation procedure must consider the instrument features (i.e., wavelength broadband and responsiveness) and site-specific conditions (i.e., DOM characteristics and suspended particles). A finding of particular interest was that the compensated normalized fDOM readings had a high correlation with the low ( Da) molecular weight fraction of the DOM, which is more recalcitrant to removal by coagulation. As a consequence, there is potential to use compensated fDOM probe readings to provide real-time, in situ information on DOM properties in freshwater systems, which will enable water treatment plant operators to optimize the coagulation process.
Drivers and barriers to the deployment of pumped hydro energy storage applications: Systematic literature review
Publisher: Elsevier BV
Date: 12-2021
Is there a green premium in the green bond market? Systematic literature review revealing premium determinants
Publisher: Elsevier BV
Date: 2021
Residential solar photovoltaic adoption behaviour: End-to-end review of theories, methods and approaches
Publisher: Elsevier BV
Date: 06-2021
Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review
Publisher: Elsevier BV
Date: 05-2020
Development of 18 Quality Control Gates for Additive Manufacturing of Error Free Patient-Specific Implants
Publisher: MDPI AG
Date: 24-09-2019
DOI: 10.3390/MA12193110
Abstract: Unlike subtractive manufacturing technologies, additive manufacturing (AM) can fabricate complex shapes from the macro to the micro scale, thereby allowing the design of patient-specific implants following a biomimetic approach for the reconstruction of complex bone configurations. Nevertheless, factors such as high design variability and changeable customer needs are re-shaping current medical standards and quality control strategies in this sector. Such factors necessitate the urgent formulation of comprehensive AM quality control procedures. To address this need, this study explored and reported on a variety of aspects related to the production and the quality control of additively manufactured patient-specific implants in three different AM companies. The research goal was to develop an integrated quality control procedure based on the synthesis and the adaptation of the best quality control practices with the three examined companies and/or reported in literature. The study resulted in the development of an integrated quality control procedure consisting of 18 distinct gates based on the best identified industry practices and reported literature such as the Food and Drug Administration (FDA) guideline for AM medical devices and American Society for Testing and Materials (ASTM) standards, to name a few. This integrated quality control procedure for patient-specific implants seeks to prepare the AM industry for the inevitable future tightening in related medical regulations. Moreover, this study revealed some critical success factors for companies developing additively manufactured patient-specific implants, including ongoing research and development (R& D) investment, investment in advanced technologies for controlling quality, and fostering a quality improvement organizational culture.
Optimising residential water heating system performance to minimise water-energy penalties
Publisher: SDEWES Centre
Date: 06-2016
Building stock mining for a circular economy: A systematic review on application of GIS and remote sensing
Publisher: Elsevier BV
Date: 10-2023
Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision
Publisher: MDPI AG
Date: 14-10-2021
DOI: 10.3390/EN14206630
Abstract: The successful deployment of the solar water heater (SWH) in the residential sector relies on the household’s bounded rational decision-makers to accept this system. The decision is shaped by a wide spectrum of predictors that form heterogeneous behaviour. Over the past years, research has employed a wide range of these predictors to understand their role in the decision and predict the behaviour and diffusion rate of SWHs. This review primarily identifies economic and technical predictors of 100 quantitative and qualitative studies on the residential SWH adoption decision. For the identified predictors, their characteristics and popularity are explored in a structured and coherent framework. The review further investigates the correlation between the identified predictors and the adoption decision from 97 of the 100 initially reviewed studies. The outcome of the research revealed 123 (56 economic and 67 technical) predictors that were classified into seven categories. ‘Financial incentives’ and ‘perceived attitude towards government policies’ are among the most popular economic predictors, whereas ‘house type’ and ‘knowledge of SWH’ were the most frequent technical factors in the research. Analysing the correlation between 99 predictors and the decision also unfolded that certain attitudinal attributes have a stronger influence on the residential SWH take-up than some common factors (e.g., electricity cost, technical variables).
Strategic evaluation tool for surface water quality management remedies in drinking water Catchments
Publisher: MDPI AG
Date: 27-09-2017
DOI: 10.3390/W9100738
Abstract: Drinking water catchments (DWC) are under pressure from point and nonpoint source pollution due to the growing human activities. This worldwide challenge is causing number of adverse effects, such as degradation in water quality, ecosystem health, and other economic and social pressures. Different evaluation tools have been developed to achieve sustainable and healthy drinking water catchments. However, a holistic and strategic framework is still required to adequately consider the uncertainty associated with feasible management remedies of surface water quality in drinking water catchments. A strategic framework was developed to adequately consider the uncertainty associated with management remedies for surface water quality in drinking water catchments. A Fuzzy Multiple Criteria Decision Analysis (FMCDA) approach was embedded into a strategic decision support framework to evaluate and rank water quality remediation options within a typical fixed budget constraint faced by bulk water providers. The evaluation framework consists of four core aspects namely, water quality, environmental, economic and social, and number of associated quantitative and qualitative criteria and sub-criteria. Final remediation strategy ranking was achieved through the application of the Euclidean Distance by the In-center of Centroids (EDIC).
Quantifying the influence of environmental and water conservation attitudes on household end use water consumption
Publisher: Elsevier BV
Date: 08-2011
DOI: 10.1016/J.JENVMAN.2011.03.023
Abstract: Within the research field of urban water demand management, understanding the link between environmental and water conservation attitudes and observed end use water consumption has been limited. Through a mixed method research design incorporating field-based smart metering technology and questionnaire surveys, this paper reveals the relationship between environmental and water conservation attitudes and a domestic water end use break down for 132 detached households located in Gold Coast city, Australia. Using confirmatory factor analysis, attitudinal factors were developed and refined households were then categorised based on these factors through cluster analysis technique. Results indicated that residents with very positive environmental and water conservation attitudes consumed significantly less water in total and across the behaviourally influenced end uses of shower, clothes washer, irrigation and tap, than those with moderately positive attitudinal concern. The paper concluded with implications for urban water demand management planning, policy and practice.
Strategic implementation of IT/IS projects in construction: A case study
Publisher: Elsevier BV
Date: 10-2002
Intelligent Metering for Urban Water: A Review
Publisher: MDPI AG
Date: 11-07-2013
DOI: 10.3390/W5031052
Pathways to workplace innovation and career satisfaction in the public service: The role of leadership and culture
Publisher: Emerald
Date: 05-11-2018
DOI: 10.1108/IJOA-03-2018-1376
Abstract: The purpose of this paper is to study the influence of two climates for innovation constructs, namely, leadership and organisational culture, on workplace innovation and career satisfaction. This study used structural equation modelling to test the data from 3,125 engineering professionals in the Australian Public Service (APS). The structural model indicated that leadership for innovation and ambidextrous culture for innovation influenced workplace innovation which, in turn, improved career satisfaction. Moreover, modelling revealed a significant relationship between ambidextrous culture for innovation and career satisfaction. This study also investigated mediation effects and revealed both simple and sequential mediation paths in the model. It was found that improving workplace innovation and career satisfaction through recognition of an engineer’s contribution to their agency would assist in retaining and advancing in-house engineering expertise. The structural model could be used to address current shortages of engineering professionals in the Commonwealth of Australia departments. The findings emphasise the importance of Commonwealth departments providing opportunities for their engineers to engage in creative and innovative projects which enhance their professional career. This study fills the gap in the innovation literature by exploring the relationships through which socio-psychological factors affect workplace innovation and career satisfaction on the innovation process for engineering professionals in the APS.
Determining the causal relationships among balanced scorecard perspectives on school safety performance: Case of Saudi Arabia
Publisher: Elsevier BV
Date: 07-2014
DOI: 10.1016/J.AAP.2014.02.002
Abstract: In the public schools of many developing countries, numerous accidents and incidents occur because of poor safety regulations and management systems. To improve the educational environment in Saudi Arabia, the Ministry of Education seeks novel approaches to measure school safety performance in order to decrease incidents and accidents. The main objective of this research was to develop a systematic approach for measuring Saudi school safety performance using the balanced scorecard framework philosophy. The evolved third generation balanced scorecard framework is considered to be a suitable and robust framework that captures the system-wide leading and lagging indicators of business performance. The balanced scorecard architecture is ideal for adaptation to complex areas such as safety management where a holistic system evaluation is more effective than traditional compartmentalised approaches. In developing the safety performance balanced scorecard for Saudi schools, the conceptual framework was first developed and peer-reviewed by eighteen Saudi education experts. Next, 200 participants, including teachers, school executives, and Ministry of Education officers, were recruited to rate both the importance and the performance of 79 measurement items used in the framework. Exploratory factor analysis, followed by the confirmatory partial least squares method, was then conducted in order to operationalise the safety performance balanced scorecard, which encapsulates the following five salient perspectives: safety management and leadership safety learning and training safety policy, procedures and processes workforce safety culture and safety performance. Partial least squares based structural equation modelling was then conducted to reveal five significant relationships between perspectives, namely, safety management and leadership had a significant effect on safety learning and training and safety policy, procedures and processes, both safety learning and training and safety policy, procedures and processes had significant effects on workforce safety culture, and workforce safety culture had a significant effect on safety performance.
Influence of safety motivation and climate on safety behaviour and outcomes: evidence from the Saudi Arabian construction industry
Publisher: Informa UK Limited
Date: 11-10-2017
DOI: 10.1080/10803548.2016.1235424
Abstract: Over the last three decades, safety literature has focused on safety climate and its role in forecasting injuries and accidents. However, research findings regarding the relationships between safety climate and other key outcome constructs are somewhat inconsistent. Recent safety climate literature suggests that examining the role of safety motivation may help provide a better explanation of such relationships. The research presented in this article aimed to empirically analyse the relationships among safety motivation, safety climate, safety behaviour and safety outcomes within the context of the Saudi Arabian construction industry. A conceptual model was developed to examine the relationships among four main constructs: safety motivation, safety climate, safety behaviour and safety outcomes. Based on the survey data collected in Saudi Arabia from site engineers and project managers (n = 295), statistical analyses were carried out, including confirmatory and exploratory factor analysis, and structural equation modelling to assess the model and test the hypotheses. The main results indicated that safety motivation could positively influence safety behaviour through safety climate, which plays a mediating role for this mechanism. The results also confirmed that safety behaviour could predict safety outcomes within the context of the Saudi Arabian construction industry.
Applying Mixed Methods Sequential Explanatory Design to Innovation Management
Publisher: Springer Singapore
Date: 2020
Beyond the Diffusion of Residential Solar Photovoltaic Systems at Scale: Allegorising the Battery Energy Storage Adoption Behaviour
Publisher: MDPI AG
Date: 16-08-2021
DOI: 10.3390/EN14165015
Abstract: Understanding the residential adoption decision of battery energy storage systems (BESSs) is central to the implementation of successful intervention policies. However, when the residential solar photovoltaics (PV) becomes a widely accepted technology across a society, accurately modelling the behaviour shows a higher degree of complexity. In this vein, the uptake pathway of BESS and PV coupled with BESS (PV–BESS) would predictably exhibit similar attitudinal traits to that of PV consumption. This notion implies that the antecedent PV decision can be regarded as the past behaviour of the BESS adopter by creating attitudinal implications. The PV use status also yields a higher degree of heterogeneity through the emergence of four new household groups and the inherent imbalances in the involvement of the interwoven financial, technical, sociodemographic, and psychological predictors. This perspective employs the Reasoned Action Approach (RAA) to allegorise a decision-making model of BESS and PV–BESS adoption behaviour in a mature PV market (Australia). It argues that the particularised background factors will likely shape the in idual’s attitudes and perceived norms for intention, and showcases affordability and the use of PV as the two control components that dictate the final decision.
Critical review of system dynamics modelling applications for water resources planning and management
Publisher: Elsevier BV
Date: 06-2021
Exploring Macroporosity of Additively Manufactured Titanium Metamaterials for Bone Regeneration with Quality by Design: A Systematic Literature Review
Publisher: MDPI AG
Date: 27-10-2020
DOI: 10.3390/MA13214794
Abstract: Additive manufacturing facilitates the design of porous metal implants with detailed internal architecture. A rationally designed porous structure can provide to biocompatible titanium alloys biomimetic mechanical and biological properties for bone regeneration. However, increased porosity results in decreased material strength. The porosity and pore sizes that are ideal for porous implants are still controversial in the literature, complicating the justification of a design decision. Recently, metallic porous biomaterials have been proposed for load-bearing applications beyond surface coatings. This recent science lacks standards, but the Quality by Design (QbD) system can assist the design process in a systematic way. This study used the QbD system to explore the Quality Target Product Profile and Ideal Quality Attributes of additively manufactured titanium porous scaffolds for bone regeneration with a biomimetic approach. For this purpose, a total of 807 experimental results extracted from 50 different studies were benchmarked against proposed target values based on bone properties, governmental regulations, and scientific research relevant to bone implants. The scaffold properties such as unit cell geometry, pore size, porosity, compressive strength, and fatigue strength were studied. The results of this study may help future research to effectively direct the design process under the QbD system.
Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider
Publisher: Elsevier BV
Date: 07-2018
An Environmental and Societal Analysis of the US Electrical Energy Industry Based on the Water–Energy Nexus
Publisher: MDPI AG
Date: 04-05-2021
DOI: 10.3390/EN14092633
Abstract: To meet rising energy demands, power plant operations will expand, influencing the interactions between the water–energy nexus and society. However, a major challenge is integration of social dimensions within electricity generation. To address this, we generate a baseline dataset using US public data (2014–2019) from the Energy Information Administration and US Bureau of Labor Statistics. We identify the rate of energy consumed, CO2, SO2 and NOx emissions generated, and water used per MWh net electricity as well as employee wellbeing per unit MW capacity during electricity generation. Rates of energy consumption (MMBtu/MWh) decreased 4.9%, but water consumption and withdrawal (m3/MWh) both increased 0.93% and 0.31%, respectively. Emissions of CO2, SO2 and NOx decreased 22.64%, 75% and 25% MT/MWh, respectively. Thermoelectric cooling withdrawal and consumption is led by natural gas (50.07%, 38.31%), coal (29.61%, 25.07%), and nuclear energies (13.55%, 18.99%). Electric power generation contributes 0.06 injuries–illnesses/TWh and 0.001 fatalities/TWh, of which fossil fuels contributed 70% and 15%, respectively. Fossil fuels led in average annual employment (0.02 employees/MW) with low cost salaries (USD 0.09/MW) likely due to high collective capacity, which is declining. Estimated rates in this study and framework will aid power industry transition and operational decision makers.
Light-induced fluorescence quenching leads to errors in sensor measurements of phytoplankton chlorophyll and phycocyanin
Publisher: Elsevier BV
Date: 06-2021
Coupled data-driven and process-based model for fluorescent dissolved organic matter prediction in a shallow subtropical reservoir
Publisher: Elsevier BV
Date: 07-2021
Advanced household profiling using digital water meters.
Publisher: Elsevier BV
Date: 06-2021
End use water consumption in households: impact of socio-demographic factors and efficient devices
Publisher: Elsevier BV
Date: 12-2013
Revealing the determinants of shower water end use consumption: enabling better targeted urban water conservation strategies
Publisher: Elsevier BV
Date: 12-2013
Investigating the Financial Implications and Viability of Diversified Water Supply Systems in an Urban Water Supply Zone
Publisher: Springer Science and Business Media LLC
Date: 21-06-2016
IT enhanced project information management in construction: Pathways to improved performance and strategic competitiveness
Publisher: Elsevier BV
Date: 07-2007
Examining wind energy deployment pathways in complex macro-economic and political settings using a fuzzy cognitive map-based method
Publisher: Elsevier BV
Date: 2022
Re-engineering traditional urban water management practices with smart metering and informatics
Publisher: Elsevier BV
Date: 03-2018
Alarming visual display monitors affecting shower end use water and energy conservation in Australian residential households
Publisher: Elsevier BV
Date: 10-2010
Dynamic modelling of Australian rooftop solar photovoltaic product stewardship transition
Publisher: Elsevier BV
Date: 05-2021
Government championed strategies to overcome the barriers to public building energy efficiency retrofit projects
Publisher: Elsevier BV
Date: 2019
Demand-side management for supply-side efficiency: Modeling tailored strategies for reducing peak residential water demand
Publisher: Elsevier BV
Date: 04-2016
Evaluating innovation diffusion readiness among architectural and engineering design firms: Empirical evidence from Australia
Publisher: Elsevier BV
Date: 11-2012
Novel bottom-up urban water demand forecasting model: Revealing the determinants, drivers and predictors of residential indoor end-use consumption
Publisher: Elsevier BV
Date: 02-2015
Smart meter enabled disaggregation of urban peak water demand: Precursor to effective urban water planning
Publisher: Informa UK Limited
Date: 06-2013
Finding Nano: Challenges Involved in Monitoring the Presence and Fate of Engineered Titanium Dioxide Nanoparticles in Aquatic Environments
Publisher: MDPI AG
Date: 08-03-2021
DOI: 10.3390/W13050734
Abstract: In recent years, titanium dioxide (TiO2) has increasingly been used as an inorganic ultraviolet (UV) filter for sun protection. However, nano-TiO2 may also pose risks to the health of humans and the environment. Thus, to adequately assess its potential adverse effects, a comprehensive understanding of the behaviour and fate of TiO2 in different environments is crucial. Advances in analytical and modelling methods continue to improve researchers’ ability to quantify and determine the state of nano-TiO2 in various environments. However, due to the complexity of environmental and nanoparticle factors and their interplay, this remains a challenging and poorly resolved feat. This paper aims to provide a focused summary of key particle and environmental characteristics that influence the behaviour and fate of sunscreen-derived TiO2 in swimming pool water and natural aquatic environments and to review the current state-of-the-art of single particle inductively coupled plasma mass spectrometry (SP-ICP-MS) approaches to detect and characterise TiO2 nanoparticles in aqueous media. Furthermore, it critically analyses the capability of existing fate and transport models to predict environmental TiO2 levels. Four particle and environmental key factors that govern the fate and behaviour of TiO2 in aqueous environments are identified. A comparison of SP-ICP-MS studies reveals that it remains challenging to detect and characterise engineered TiO2 nanoparticles in various matrices and highlights the need for the development of new SP-ICP-MS pre-treatment and analysis approaches. This review shows that modelling studies are an essential addition to experimental studies, but they still lack in spatial and temporal resolution and mostly exclude surface transformation processes. Finally, this study identifies the use of Bayesian Network-based models as an underexplored but promising modelling tool to overcome data uncertainties and incorporates interconnected variables.
Air source heat pump water heaters in residential buildings in Australia: Identification of key performance parameters
Publisher: Elsevier BV
Date: 03-2015
Towards understanding the anticipated customer benefits of digital water metering
Publisher: Informa UK Limited
Date: 06-01-2021
Renewable energy and energy conservation area policy (REECAP) framework: A novel methodology for bottom-up and top-down principles integration
Publisher: Elsevier BV
Date: 11-2020
Photovoltaic Systems through the Lens of Material-Energy-Water Nexus
Publisher: MDPI AG
Date: 31-03-2023
DOI: 10.3390/EN16073174
Abstract: Solar photovoltaics (PV) has emerged as one of the world’s most promising power-generation technologies, and it is essential to assess its applications from the perspective of a material-energy-water (MEW) nexus. We performed a life cycle assessment of the cradle-to-grave MEW for single-crystalline silicon (s-Si) and CdTe PV technologies by assuming both PV systems are recycled at end of life. We found that the MEW network was dominated by energy flows ( %), while only minor impacts of materials and water flows were observed. Also, these MEW flows have pyramid-like distributions between the three tiers (i.e., primary, secondary/sub-secondary, and tertiary levels), with greater flows at the primary and lower flows at the tertiary levels. A more detailed analysis of materials’ circularity showed that glass layers are the most impactful component of recycling due to their considerable weight in both technologies. Our analysis also emphasized the positive impacts that increased power-conversion efficiency and the use of recycled feedstock have on the PV industry’s circularity rates. We found that a 25% increase in power-conversion efficiency and the use of fully recycled materials in PV panel feedstocks resulted in 91% and 86% material circularity for CdTe and s-Si PV systems, respectively.
Data-driven recursive input–output multivariate statistical forecasting model: case of DO concentration prediction in Advancetown Lake, Australia
Publisher: IWA Publishing
Date: 06-06-2015
Abstract: A regression model integrating data pre-processing and transformation, input selection techniques and a data-driven statistical model, facilitated accurate 7 day ahead time series forecasting of selected water quality parameters. A core feature of the modelling approach is a novel recursive input–output algorithm. The herein described model development procedure was applied to the case of a 7 day ahead dissolved oxygen (DO) concentration forecast for the upper hypolimnion of Advancetown Lake, Queensland, Australia. The DO was predicted with an R2 & 0.8 and a normalised root mean squared error of 14.9% on a validation data set by using 10 inputs related to water temperature or pH. A key feature of the model is that it can handle nonlinear correlations, which was essential for this environmental forecasting problem. The pre-processing of the data revealed some relevant inputs that had only 6 days' lag, and as a consequence, those predictors were in-turn forecasted 1 day ahead using the same procedure. In this way, the targeted prediction horizon (i.e. 7 days) was preserved. The implemented approach can be applied to a wide range of time-series forecasting problems in the complex hydro-environment research area. The reliable DO forecasting tool can be used by reservoir operators to achieve more proactive and reliable water treatment management.
Mapping Roofing with Asbestos-Containing Material by Using Remote Sensing Imagery and Machine Learning-Based Image Classification: A State-of-the-Art Review
Publisher: MDPI AG
Date: 07-2022
DOI: 10.3390/SU14138068
Abstract: Building roofing produced with asbestos-containing materials is a significant concern due to its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to proactively mitigate and manage potential health risks from this legacy building material. Several studies utilised remote sensing imagery and machine learning-based image classification methods for mapping roofs with asbestos-containing materials. However, there has not yet been a critical review of classification methods conducted in order to provide coherent guidance on the use of different remote sensing images and classification processes. This paper critically reviews the latest works on mapping asbestos roofs to identify the challenges and discuss possible solutions for improving the mapping process. A peer review of studies addressing asbestos roof mapping published from 2012 to 2022 was conducted to synthesise and evaluate the input imagery types and classification methods. Then, the significant challenges in the mapping process were identified, and possible solutions were suggested to address the identified challenges. The results showed that hyperspectral imagery classification with traditional pixel-based classifiers caused large omission errors. Classifying very-high-resolution multispectral imagery by adopting object-based methods improved the accuracy results of ACM roof identification however, non-optimal segmentation parameters, inadequate training data in supervised methods, and analyst subjectivity in rule-based classifications were reported as significant challenges. While only one study investigated convolutional neural networks for asbestos roof mapping, other applications of remote sensing demonstrated promising results using deep-learning-based models. This paper suggests further studies on utilising Mask R-CNN segmentation and 3D-CNN classification in the conventional approaches and developing end-to-end deep semantic classification models to map roofs with asbestos-containing materials.
Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review
Publisher: MDPI AG
Date: 23-06-2021
DOI: 10.3390/S21134289
Abstract: Most accidents in the aviation, maritime, and construction industries are caused by human error, which can be traced back to impaired mental performance and attention failure. In 1596, Du Laurens, a French anatomist and medical scientist, said that the eyes are the windows of the mind. Eye tracking research dates back almost 150 years and it has been widely used in different fields for several purposes. Overall, eye tracking technologies provide the means to capture in real time a variety of eye movements that reflect different human cognitive, emotional, and physiological states, which can be used to gain a wider understanding of the human mind in different scenarios. This systematic literature review explored the different applications of eye tracking research in three high-risk industries, namely aviation, maritime, and construction. The results of this research uncovered the demographic distribution and applications of eye tracking research, as well as the different technologies that have been integrated to study the visual, cognitive, and attentional aspects of human mental performance. Moreover, different research gaps and potential future research directions were highlighted in relation to the usage of additional technologies to support, validate, and enhance eye tracking research to better understand human mental performance.
Predicting Household Water Consumption Events: Towards a Personalised Recommender System to Encourage Water-conscious Behaviour
Publisher: IEEE
Date: 07-2019
Exploring leadership styles for innovation: An exploratory factor analysis
Publisher: Walter de Gruyter GmbH
Date: 03-2017
Abstract: Leadership plays a vital role in building the process, structures, and climate for an organisation to become innovative and to motivate team expectations toward innovations. This study explores the leadership styles that engineers regard as significant for innovation in the public sector. Exploratory factor analysis (EFA) was conducted to identify the principal leadership styles influencing innovation in the Australian Public Service (APS), using survey data extracted from the 2014 APS employee census comprising 3 125 engineering professionals in Commonwealth of Australia departments. EFA returned a two-factor structure explaining 77.6% of the variance of the leadership for innovation construct. In this study, the results from the EFA provided a clear estimation of the factor structure of the measures for leadership for innovation. From the results, the two factors extracted were transformational leadership and consideration leadership. In transformational leadership, a leader values organisational objectives, inspires subordinates to perform, and motivates followers beyond expected levels of work standards. Consideration leadership refers to the degree to which a leader shows concern and expressions of support for subordinates, takes care of their welfare, treats members as equals, and displays warmth and approachability. These findings highlight the role of leadership as the most critical predictor when considering the degree to which subordinates strive for creativity and innovation. Both transformational and consideration leadership styles are recommended to be incorporated into management training and development programs. This study also recommends that Commonwealth departments recruit supervisors who have both of these leadership styles before implementing innovative projects.
Unravelling the relationship between energy and indoor environmental quality in Australian office buildings
Publisher: Elsevier BV
Date: 10-2021
Modeling the international technology transfer process in construction projects: Evidence from Thailand
Publisher: Springer Science and Business Media LLC
Date: 07-07-2008
End-of-life management of solar photovoltaic and battery energy storage systems: A stakeholder survey in Australia
Publisher: Elsevier BV
Date: 11-2019
Statistical data analysis of culture for innovation using an open data set from the Australian public service
Publisher: Springer International Publishing
Date: 2017
Understanding students' use of online learning tools through online learning readiness assessment
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-5011-4.CH017
Abstract: Understanding the readiness of students to undertake online education has been viewed as a necessary precursor to ensuring their success in an online learning environment. To serve this purpose, a number of Online Learning Readiness (OLR) assessment tools have been developed. However, the relationship between the students’ readiness, assessed by these tools, and the actual online learning outcomes has not been well established. This chapter presents a study that assesses the Online Learning Readiness (OLR) of a s le group of postgraduate engineering students and determines whether there is any association between the level of readiness and the extent to which the students use online learning tools. The research employed a questionnaire survey targeting a group of postgraduate students undertaking a project management course at Griffith University in Queensland, Australia. Based on the survey data from 30 valid responses, it was found that the s led students had different levels of OLR and can be clustered into three main groups: developed, less-developed, and developing OLR, and that the higher level of OLR can be associated with more extensive use of online learning tools.
Intelligent Metering for Urban Water Planning and Management
Publisher: Wiley
Date: 18-12-2013
Mapping the Complex Journey of Swimming Pool Contaminants: A Multi-Method Systems Approach
Publisher: MDPI AG
Date: 28-06-2022
DOI: 10.3390/W14132062
Abstract: Swimming pool owners worldwide face the challenging task of keeping their pool water balanced and free from contaminants. However, swimming pool water (SPW) quality management is complex with the countless processes and interactions of interlinked system variables. For ex le, contamination with sunscreen residues is inevitable as users apply sunscreen to protect their skin from damaging ultraviolet (UV) radiation. Nanoparticulate titanium dioxide (nano-TiO2) is one such residues that have received criticism due to potential human health and environmental risks. Despite ongoing research studies, management strategies of nano-TiO2 in swimming pools are still limited. Therefore, this paper focuses on developing a multi-method approach for identifying and understanding interdependencies between TiO2 particles and an aquatic environment such as a swimming pool. Given the complexity of the system to be assessed, the authors utilise a systems approach by integrating cross-matrix multiplication (MICMAC) and Systems Thinking techniques. The developed conceptual model visually depicts the complex system, which provides users with a basic understanding of swimming pool chemistry, displaying the numerous cause-and-effect relationships and enabling users to identify leverage points that can effectively change the dynamics of the system. Such systems-level understanding, and actions will help to manage nano-TiO2 levels in an efficient manner. The novelty of this paper is the proposed methodology, which uses a systems approach to conceptualise the complex interactions of contaminants in swimming pools and important pathways to elevated contaminant levels.
Aggregated applications and benefits of energy storage systems with application-specific control methods: A review
Publisher: Elsevier BV
Date: 08-2017
Medium-term storage volume prediction for optimum reservoir management: A hybrid data-driven approach
Publisher: Elsevier BV
Date: 06-2017
A framework for the life cycle management of information technology projects: ProjectIT
Publisher: Elsevier BV
Date: 02-2008
Benchmarking construction technology transfer in Thailand
Publisher: Emerald
Date: 17-07-2007
DOI: 10.1108/14714170710754722
Abstract: In an attempt to better diagnose the health of international construction technology transfer (TT) ventures and ultimately improve rates of TT, this paper promotes benchmarking as a tool for measuring baseline and future performance across a wide range of TT perspectives. Utilizing the results from a questionnaire survey of 162 construction industry professionals from Thailand, a TT performance measurement framework, consisting of eight erse perspectives was formulated through exploratory factor analysis. The developed framework included eight perspectives which represent the enablers and outcomes of the TT process, namely: technology characteristics government influence relationship building transferor characteristics transferee characteristics economic advancement knowledge advancement and project performance. This framework was utilized to provide a baseline benchmark index of TT performance in Thailand. A benchmark score of 70 per cent was determined, implying that up to 2005, construction TT ventures in Thailand have been operating moderately to highly effectively/successfully. Moreover, the TT performance of in idual transferor nationalities operating in Thailand was compared. The study provides some evidence that Japanese construction firms are not only the leading exporter of construction services to Thailand but also perform slightly higher across TT performance perspectives influenced by the transferor. Questionnaire items which attempted to explain the impact of cultural differences between the transferor and transferee were statistically problematic and subsequently removed from the conceptual framework. Cultural factors undoubtedly play a part in the international TT process on construction projects. The developed TT benchmarking method could be used by international funding agencies, governments of developing and newly industrialized countries and construction firms to more effectively evaluate the TT process and the outcomes it derives for the host construction sector. The paper provides a robust method for benchmarking the TT process and its derived outcomes in a construction context.
Digital Multi-Utility Data for Contemporaneous Water-Electricity-Gas End Use Categorization
Publisher: IEEE
Date: 06-2019
Smart meter enabled informatics for economically efficient diversified water supply infrastructure planning
Publisher: Elsevier BV
Date: 11-2016
Life cycle cost of dilution desalination in off-grid locations: A study of water reuse integrated with seawater desalination technology
Publisher: Elsevier BV
Date: 10-2020
Creating a Novel Multi-Layered Integrative Climate Change Adaptation Planning Approach Using a Systematic Literature Review
Publisher: MDPI AG
Date: 08-11-2018
DOI: 10.3390/SU10114100
Abstract: Climate change adaptation planning requires the integration of disciplines, stakeholders, different modelling approaches, treatment options, and scales of analysis. An integrated stepwise planning approach is a critical requirement for effective climate change adaptation in the context of small island developing states and coastal communities. To address this need, this paper reports on a systematic review of 116 research papers from an initial set of around 650 academic peer-reviewed papers. These papers were assessed and categorised based on their planning framework or the approach utilised, measured climate change impacts, employed methods and tools, and recommended adaptation strategies or options. This study identified three important dimensions of a fully integrated climate change adaptation planning process, namely, integration in assessment, integration in modelling, and integration in adaptive responses. Moreover, it resulted in the formulation of a novel multi-layered integrative climate change adaptation planning approach. Adopting this holistic and integrative approach is more likely to yield better climate change adaptation in planning outcomes over the long term.
Global Research Trends on Building Indoor Environmental Quality Modelling and Indexing Systems—A Scientometric Review
Publisher: MDPI AG
Date: 20-06-2022
DOI: 10.3390/EN15124494
Abstract: The purpose of this study is to provide a holistic review of two decades of research advancement in the indoor environmental quality modelling and indexing field (IEQMI) using bibliometric analysis methods. The explicit objectives of the present study are: (1) identifying researchers, institutions, countries (territories), and journals with the most influence in the IEQMI topic (2) investigating the hot topics in the IEQMI field and (3) thematically analysing the keyword evolution in the IEQMI field. A scientometric review was conducted using the bibliometric data of 456 IEQMI research articles published in the past two decades. VOSviewer software was employed for bibliometric analysis, and the SciMAT tool was used to investigate the keywords’ thematic evolution in three sub-periods (2004–2009 2010–2015 2016–2021). Results show that there is a continuous increment in the number of published papers in the field of IEQMI, and 60 out of 193 countries in the world have been involved in IEQMI studies. The IEQMI research mainly focuses on: (a) thermal comfort and energy efficiency (b) occupant satisfaction and comfort (c) IAQ and health issues (d) methods and procedures. This field has undergone significant evolution. While ‘indoor environmental quality was initially the only theme in the first period’, ‘occupant satisfaction’, ‘buildings’, ‘impact’, ‘building information modelling’, and ‘health’ were added as the main thematic areas in the second period ‘occupant behaviour’ and ‘energy’ were novel themes in IEQMI studies receiving much attention in the third period.
Developing a comprehensive safety performance evaluation framework for Saudi schools
Publisher: Emerald
Date: 08-04-2014
DOI: 10.1108/IJPPM-05-2013-0096
Abstract: – The purpose of this paper is to empirically develop a safety performance (SP) framework for evaluating the various leading and lagging indicators of SP in Saudi public schools. – A comprehensive review of the safety and performance evaluation literature enabled the formulation of the constructs, factors and items that underpinned a conceptual SP evaluation framework. The research method involved a conceptual framework review and refinement process with 18 experts, followed by a questionnaire survey of 200 respondents from Saudi public schools. The final form of the SP evaluation framework was determined through a rigorous statistical analysis process, including exploratory factor analysis to uncover the underlying framework architecture from a relatively large set of items, and then the application of the partial least squares method to confirm framework adequacy and to assign loading coefficients. – The developed SP evaluation framework for Saudi schools included five constructs, namely, safety management and leadership, safety learning and training, safety policy, procedures, and processes, workforce safety culture and SP. – The developed SP evaluation framework is proposed for implementation by the Saudi Ministry of Education to better monitor and manage school safety in the future. – This SP evaluation framework is one of the first to holistically evaluate SP in schools, particularly in the Saudi Arabian context.
Mapping the construction innovation system in the russian federation: Conceptual model development
Publisher: IEEE
Date: 12-2016
Numerical Study of the Hydrodynamic and Sediment Transport Process in a Subtropical Water Reservoir: the Impacts of Storms and Winds
Publisher: Springer Science and Business Media LLC
Date: 16-06-2020
An Integrated Participatory Systems Modelling Approach: Application to Construction Innovation
Publisher: MDPI AG
Date: 20-08-2018
Abstract: This paper presents a novel five-stage integrated participatory systems modelling (IPSM) approach that can be used for a range of systems dynamics (SD) applications. The IPSM approach was formulated considering the advantages and disadvantages of existing SD modelling approaches, as well as balancing the competing goals of SD model development efficiency and robustness. A key feature of the IPSM approach is that stakeholders are central to each of the five stages of the modelling process from problem scoping, to scenario analysis and strategy implementation recommendations. Each stage of the IPSM approach was demonstrated through a case study of the innovation diffusion process in the Russian Federation construction industry. This highly complex innovation system could only be sufficiently understood using a SD model that was conceptualised, critiqued, codified, tested and utilised, by the relevant actors within that system (i.e., stakeholders). The IPSM approach facilitated the efficient formulation of the SD model for the case study application. The case study SD model simulation results indicate that sufficient government incentives and the active promotion of strong collaborative linkages between construction companies and universities are two key enablers of innovation development in the Russian Federation construction industry.
Evaluating a novel tiered scarcity adjusted water budget and pricing structure using a holistic systems modelling approach
Publisher: Elsevier BV
Date: 06-2018
DOI: 10.1016/J.JENVMAN.2018.03.037
Abstract: Population growth, coupled with declining water availability and changes in climatic conditions underline the need for sustainable and responsive water management instruments. Supply augmentation and demand management are the two main strategies used by water utilities. Water demand management has long been acknowledged as a least-cost strategy to maintain water security. This can be achieved in a variety of ways, including: i) educating consumers to limit their water use ii) imposing restrictions enalties iii) using smart and/or efficient technologies and iv) pricing mechanisms. Changing water consumption behaviours through pricing or restrictions is challenging as it introduces more social and political issues into the already complex water resources management process. This paper employs a participatory systems modelling approach for: (1) evaluating various forms of a proposed tiered scarcity adjusted water budget and pricing structure, and (2) comparing scenario outcomes against the traditional restriction policy regime. System dynamics modelling was applied since it can explicitly account for the feedbacks, interdependencies, and non-linear relations that inherently characterise the water tariff (price)-demand-revenue system. A combination of empirical water use data, billing data and customer feedback on future projected water bills facilitated the assessment of the suitability and likelihood of the adoption of scarcity-driven tariff options for a medium-sized city within Queensland, Australia. Results showed that the tiered scarcity adjusted water budget and pricing structure presented was preferable to restrictions since it could maintain water security more equitably with the lowest overall long-run marginal cost.
ANN-based residential water end-use demand forecasting model
Publisher: Elsevier BV
Date: 03-2013
Analysis of the Mixing Processes in a Shallow Subtropical Reservoir and Their Effects on Dissolved Organic Matter
Publisher: MDPI AG
Date: 09-04-2019
DOI: 10.3390/W11040737
Abstract: A good understanding of the physical processes of lakes or reservoirs, especially of those providing drinking water to residents, plays a vital role in water management. In this study, the water circulation and mixing processes occurring in the shallow, subtropical Tingalpa Reservoir in Australia have been investigated. Bathymetrical, meteorological, chemical and physical data collected from field measurements, laboratory analysis of water s ling and an in-situ Vertical Profile System (VPS) were analysed. Based on the high-frequency VPS dataset, a 1D model was developed to provide information for vertical transport and mixing processes. The results show that persistent high air temperature and stable reservoir water depth lead to a prolonged thermal stratification. Analysis indicates that heavy rainfalls have a significant impact on water quality when the dam level is low. The peak value of Dissolved Organic Carbon (DOC) concentration occurred in the wet season, while the specific UV absorbance (SUVA) value decreased when solar radiation increased from spring to summer. The study aims to provide a comprehensive approach for understanding and modelling the water mixing processes in similar lakes with high-frequency data from VPS’s or other monitoring systems.
Identifying and understanding the drivers of high water consumption in remote Australian Aboriginal and Torres Strait Island communities
Publisher: Elsevier BV
Date: 2016
Smart meter enabled water end-use demand data: enhanced infrastructure planning of contemporary supply networks platform for the urban water supply networks
Publisher: Elsevier BV
Date: 2015
Pimpama-Coomera dual reticulation end use study: Pre-commission baseline, context and post-commission end use prediction
Publisher: IWA Publishing
Date: 07-2010
DOI: 10.2166/WS.2010.104
Abstract: The Gold Coast Water Pimpama Coomera dual reticulation schemes' recycled water supply will be online in late 2009. In an attempt to achieve better estimates on both potable and likely recycled water end uses within this region, this paper presents a predictive model that utilises a range of input parameters, including: current use in the Gold Coast and the Pimpama Coomera regions at both a bulk billing and end use level recycled water use at other dual reticulated schemes and questionnaire survey of residents water source preferences for outdoor uses. Prior to the commissioning of recycled water, potable water is supplied through the recycled water pipelines. Water end use consumption analysis from the recycled water smart meter indicates that this supply source currently provides 20% of total household use with the majority of use being for toilet flushing. However, a range of factors have attributed to this low baseline level with evidence collected in this study indicating that higher recycled water consumption rates will occur once this supply line has been commissioned largely due to the lower cost and fewer restrictions placed on this water source for discretionary outdoor purposes. The weighted amalgamation of a range of baseline adjustment factors assisted in the prediction of post-commissioning end uses for the Pimpama Coomera dual reticulated region. The predictive model indicated that recycled water end uses would account for 53 litres per person per day or 30.6% of total household consumption. The paper concludes with a brief overview of Phase 2 of the study which aims to compare actual post-commission end uses with the baseline situation and prediction, as well as the development of a robust end use model for dual reticulated regions.
Drivers, barriers and enablers to end-of-life management of solar photovoltaic and battery energy storage systems: A systematic literature review
Publisher: Elsevier BV
Date: 02-2019
Monitoring Approaches for Faecal Indicator Bacteria in Water: Visioning a Remote Real-Time Sensor for E. coli and Enterococci
Publisher: MDPI AG
Date: 16-09-2020
DOI: 10.3390/W12092591
Abstract: A comprehensive review was conducted to assess the current state of monitoring approaches for primary faecal indicator bacteria (FIB) E. coli and enterococci. Approaches were identified and examined in relation to their accuracy, ability to provide continuous data and instantaneous detection results, cost, environmental awareness regarding necessary reagent release or other pollution sources, in situ monitoring capability, and portability. Findings showed that several methods are precise and sophisticated but cannot be performed in real-time or remotely. This is mainly due to their laboratory testing requirements, such as lengthy s le preparations, the requirement for expensive reagents, and fluorescent tags. This study determined that portable fluorescence sensing, combined with advanced modelling methods to compensate readings for environmental interferences and false positives, can lay the foundations for a hybrid FIB sensing approach, allowing remote field deployment of a fleet of networked FIB sensors that can collect high-frequency data in near real-time. Such sensors will support proactive responses to sudden harmful faecal contamination events. A method is proposed to enable the development of the visioned FIB monitoring tool.
Evaluating web-based project information management in construction: Capturing the long-term value creation process
Publisher: Elsevier BV
Date: 07-2004
Examining green affordable housing policy outcomes in Australia: A systems approach
Publisher: Elsevier BV
Date: 04-2021
What does rebounding water use look like? An examination of post-drought and post-flood water end-use demand in Queensland, Australia
Publisher: IWA Publishing
Date: 14-02-2014
DOI: 10.2166/WS.2014.008
Abstract: Rebounding water use behaviour has been observed in communities that have experienced plentiful water supply following a very dry period. However, the drivers of such rebounds in water consumption are varied and not well understood. Knowledge of such drivers can greatly assist managers towards proactive demand management, modelling and timely promotion of water efficient behaviours. Total and end-use residential water consumption has been tracked in South East Queensland, Australia for a s le of up to 252 homes in post-drought conditions (dam supplies growing but water restrictions continued, changed water use behaviours still ‘fresh’), and during and post-flooding conditions (eased restrictions, 100% dam capacity). Data on end-use water consumption trends using nearly 3 years of residential water end-use data have revealed several interesting patterns of consumption such as a delayed return to pre-drought use, the influence of climate and end-use specific rebounds (e.g. indoor versus outdoor use). The end-use data have helped to identify the drivers of rebounding water consumption which appear to include environmental cues (rainfall, temperature), social cues (e.g. government encouraging consumers to turn on tap) and a gradual general reduction in conservative water use behaviours. The paper concludes with a discussion of how this knowledge can be used to inform long-term demand management policy, particularly in variable climates.
Challenges, opportunities, and strategies for undertaking integrated precinct-scale energy–water system planning
Publisher: Elsevier BV
Date: 06-2022
Unraveling key drivers for engineer creativity and meaningfulness of work: Bayesian network approach
Publisher: Polish Academy of Sciences Chancellery
Date: 26-07-2023
A novel mixed method smart metering approach to reconciling differences between perceived and actual residential end use water consumption
Publisher: Elsevier BV
Date: 12-2013
Taxonomy and model for valuing the contribution of digital water meters to sustainability objectives
Publisher: Elsevier BV
Date: 09-2021
DOI: 10.1016/J.JENVMAN.2021.112846
Abstract: Water security is an issue across the world as communities face ageing infrastructure, population increases and climate change. The application of digital water metering (DWM) to properties has had a demonstrable impact on water savings at the property and network levels, on efficiencies within water utilities, as well as on improvements to customer satisfaction scores. Gathering and processing near-real-time water usage data is very important for both end-users and utilities, as well as demand and supply management planning. The potential contribution of DWM to the three pillars of water sustainability (environmental, economic development and social equity) is often overlooked. In Australia and other jurisdictions water utilities are facing up to the challenge of climate change. However, business cases promoting DWM are often unsuccessful because the benefit side falls short of the cost side. This study sought to identify possible DWM benefits not previously considered through an extensive review of academic and industry literature, and then to view those benefits through the lens of sustainability. The 77 identified benefits of DWM were catalogued and a taxonomy was created. The study elicited the opinions of experts, before quantifying them, thus identifying two distinct contexts of benefit value subsequently, it surveyed the views of customers and developed a stochastic model of benefit value. The model, named DWM360, was applied to the project data of a large metropolitan water utility in Australia to model their DWM proposal for cost savings, contribution to sustainability and uplift in customer satisfaction. This paper presents a novel focus on how the benefits of DWM assist water sustainability. It considers differing social norms that impact consumer acceptance of changes in metering and water charges. The study will be of interest to researchers as well as practitioners looking to identify sustainability aspects of DWM.
Adaptation strategies for coral reef ecosystems in Small Island Developing States: Integrated modelling of local pressures and long-term climate changes
Publisher: Elsevier BV
Date: 04-2020
Model of the Russian Federation Construction Innovation System: An Integrated Participatory Systems Approach
Publisher: MDPI AG
Date: 16-08-2016
Bridging the Water Supply–demand Gap in Australia: Coupling Water Demand Efficiency with Rain-independent Desalination Supply
Publisher: Springer Science and Business Media LLC
Date: 14-09-2014
Mapping long-term coral reef ecosystems regime shifts: A small island developing state case study
Publisher: Elsevier BV
Date: 05-2020
Knowing maintenance vulnerabilities to enhance building resilience
Publisher: Elsevier BV
Date: 2018
Artificial Intelligence for the Detection of Asbestos Cement Roofing: An Investigation of Multi-Spectral Satellite Imagery and High-Resolution Aerial Imagery
Publisher: MDPI AG
Date: 27-02-2023
DOI: 10.3390/SU15054276
Abstract: Artificial Intelligence (AI) is providing the technology for large-scale, cost-effective and current asbestos-containing material (ACM) roofing detection. AI models can provide additional data to monitor, manage and plan for ACM in situ and its safe removal and disposal, compared with traditional approaches alone. Advances are being made in AI algorithms and imagery applied to ACM detection. This study applies mask region-based convolution neural networks (Mask R-CNN) to multi-spectral satellite imagery (MSSI) and high-resolution aerial imagery (HRAI) to detect the presence of ACM roofing on residential buildings across an Australian case study area. The results provide insights into the challenges and benefits of using AI and different imageries for ACM detection, providing future directions for its practical application. The study found model 1, using HRAI and 460 training s les, was the more reliable model of the three with a precision of 94%. These findings confirm the efficacy of combining advanced AI techniques and remote sensing imagery, specifically Mask R-CNN with HRAI, for ACM roofing detection. Such combinations can provide efficient methods for the large-scale detection of ACM roofing, improving the coverage and currency of data for the implementation of coordinated management policies for ACM in the built environment.
Development of an intelligent model to categorise residential water end use events
Publisher: Elsevier BV
Date: 09-2013
Bayesian Network revealing evidence-based strategies to enhance the performance of building envelope openings subject to wind-driven rain
Publisher: Elsevier BV
Date: 2021
Identifying residential water end uses underpinning peak day and peak hour demand
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2014
Economic, social and environmental dimensions of PHEV in the smart grid
Publisher: Institution of Engineering and Technology
Date: 17-07-2015
DOI: 10.1049/PBPO079E_CH7
Residential solar water heaters in Brisbane, Australia: Key performance parameters and indicators
Publisher: Elsevier BV
Date: 02-2018
Water and energy nexus of residential rainwater tanks at an end use level: Case of Australia
Publisher: Elsevier BV
Date: 09-2014
Validation of an empirical model for innovation diffusion in Australian design firms
Publisher: Emerald
Date: 09-10-2009
DOI: 10.1108/14714170910995976
Abstract: The paper is an extension to a previous empirical study that models the process of innovation diffusion in Australian architectural and engineering design (AED) firms. This paper aims to utilise explanatory case studies to assist in the verification of this empirical model that depicts pathways that explain the role of enabling “climate for innovation” constructs in determining the level of innovation diffusion outcomes (IDO), and subsequent business performance (BPM) in Australian AED firms. This paper presents the latter of a two‐stage sequential mixed method research design: quantitative empirical study and qualitative explanatory case studies. Specifically, this stage extracts findings from five explanatory case studies using a qualitative pattern matching analysis technique. Interview‐based data collected from the case studies are analysed to formulate the relationship patterns between constructs, which are then compared with those predicted by the empirical model. This approach affords a determination on the extent to which the case‐based findings (i.e. work‐setting phenomena) explains (i.e. validated) the empirical model. The results of the case studies on five Australian AED firms indicate that the model can be adequately explained by the actual phenomena. This is evident in four of the cases providing a good to perfect match, and one showing a partial match to the predicted patterns of relationships between the model constructs. Thus, the paper presents verified empirical pathways for AED firms, which suggest that, by increasing the level of leadership for innovation, the level of team climate and organisational culture for innovation can be improved. The improved culture for innovation will then heighten the level of IDO, which can in turn, result in an enhanced BPM. This paper expands and improves upon the current understanding of how the diffusion of innovation can be accelerated within the AED firm context. By focusing on the socio‐psychological processes, the paper depicts the pathways to improve IDO and BPM through fostering a robust climate for innovation. These pathways have been constructed empirically and are verified in this paper under real‐work settings. Based on the validated model and the specific insights derived from the explanatory case studies, the paper also highlights a number of strategic implications for AED firms seeking to enhance their BPM through improving innovation diffusion practices.
Smart meters for enhanced water supply network modelling and infrastructure planning
Publisher: Elsevier BV
Date: 09-2014
Renewable hydropower generation as a co-benefit of balanced urban water portfolio management and flood risk mitigation
Publisher: Elsevier BV
Date: 02-2017
Optimisation modelling tools and solving techniques for integrated precinct-scale energy–water system planning
Publisher: Elsevier BV
Date: 07-2022
Adaptive management of deep‐seabed mining projects: A systems approach
Publisher: Wiley
Date: 09-03-2021
DOI: 10.1002/IEAM.4395
Abstract: Increasing demand for metals used in clean energy technologies, including electric vehicles, has led to an increased demand in certain metals such as Ni, Co, and Mn. This demand has in turn led to an expanding interest in deep‐seabed mining (DSM) of polymetallic nodule deposits that contain these exact metals. The main concerns about DSM relate to the incomplete information available about the environmental risks associated with seabed mineral extraction. Key uncertainties need to be systematically addressed to refine environmental impact predictions and establish effective mitigation measures. Adaptive management is an iterative process for reducing the uncertainty that can be applied by both mining companies and regulatory bodies. This Special Series paper reviews the key opportunities and challenges to operationalizing adaptive management in DSM projects and highlights the need for a framework to move from theory to practice. The discussion proposes a systems approach to adaptive management, which could help to guide the environmental management of deep‐sea mineral extraction. Integr Environ Assess Manag 2022 :674–681. © 2021 SETAC
Revealing Unreported Benefits of Digital Water Metering: Literature Review and Expert Opinions
Publisher: MDPI AG
Date: 20-04-2019
DOI: 10.3390/W11040838
Abstract: Digital water meters can take Australian water utilities into the world of internet of things (IoT) and big data analytics. The potential is there for them to build more efficient processes, to enable new products and services to be offered, to defer expensive capital works, and for water conservation to be achieved. However, utilities are not mounting business cases with sufficient benefits to cover the project and operational costs. This study undertakes a literature review and interviews of industry experts in the search for unreported benefits that might be considered for inclusion in business cases. It identifies seventy-five possible benefits of which fifty-seven are classified as benefiting the water utility and forty are classified as benefiting customers (twenty-two benefit both). Many benefits may be difficult to monetize. Benefits to customers may have a small monetary benefit to the water utility but provide a significant benefit to customer satisfaction scores. However, for utilities to achieve these potential benefits, eight change enablers were identified as being required in their systems, processes, and resources. Of the seventy-five benefits, approximately half might be considered previously unreported. Finally, a taxonomy is presented into which the benefits are classified, and the enabling business changes for them to be realized are identified. Water utilities might consider the taxonomy, the benefits, and the changes required to enable the benefits when developing their business cases.
Guidelines, barriers and strategies for energy and water retrofits of public buildings
Publisher: Elsevier BV
Date: 02-2018
Paradigm shift to enhanced water supply planning through augmented grids, scarcity pricing and adaptive factory water: A system dynamics approach
Publisher: Elsevier BV
Date: 2016
Enhanced electrocoagulation process for natural organic matter removal from surface drinking water sources: coagulant dose control & organic matter characteristics
Publisher: Royal Society of Chemistry (RSC)
Date: 2023
DOI: 10.1039/D2EW00376G
Abstract: An optimized electrocoagulation process was investigated for enhanced removal of dissolved organic matter for eco-friendly drinking water production from surface water sources. A model-based control system was developed for electro-coagulant dosing.
Workplace Innovation: Exploratory and Confirmatory Factor Analysis for Construct Validation
Publisher: Walter de Gruyter GmbH
Date: 06-2017
Abstract: Workplace innovation enables the development and improvement of products, processes and services leading simultaneously to improvement in organisational performance. This study has the purpose of examining the factor structure of workplace innovation. Survey data, extracted from the 2014 APS employee census, comprising 3,125 engineering professionals in the Commonwealth of Australia’s departments were analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA returned a two-factor structure explaining 69.1% of the variance of the construct. CFA revealed that a two-factor structure was indicated as a validated model (GFI = 0.98, AGFI = 0.95, RMSEA = 0.08, RMR = 0.02, IFI = 0.98, NFI = 0.98, CFI = 0.98, and TLI = 0.96). Both factors showed good reliability of the scale (In idual creativity: α = 0.83, CR = 0.86, and AVE = 0.62 Team Innovation: α = 0.82, CR = 0.88, and AVE = 0.61). These results confirm that the two factors extracted for characterising workplace innovation included in idual creativity and team innovation.
Digitisation of Existing Water Facilities: A Framework for Realising the Value of Scan-to-BIM
Publisher: MDPI AG
Date: 18-05-2022
DOI: 10.3390/SU14106142
Abstract: Building information modelling (BIM) has been implemented in many utility-based organisations worldwide, and it has proved to provide substantial cost- and time-saving benefits and improved performance and asset management especially during the operations and maintenance (O& M) phase. BIM adoption and implementation success rely on the accurate asset information stored in BIM models, mainly for existing assets. However, the asset information stored in asset management systems is often inaccurate, incomplete, out of date, duplicated or missing. Capturing the accurate as-is conditions of existing buildings has become feasible with the recent advancement of point cloud from 3D laser-scanning, resulting in a shift from ‘as-designed’ BIM to ‘as-constructed’ BIM. The potential benefits of using as-constructed BIM models for facility operations are compelling. This paper identifies the cost and benefit elements of the scan-to-BIM process as part of a case study research project at a water treatment plant (WTP) in South East Queensland, Australia. The paper develops association mapping between the cost and benefit elements for relevant stakeholders and identifies the critical asset information for effectively managing the WTP case selected. Furthermore, the paper investigates the impact of various levels of detail (LOD) and levels of information (LOI) on BIM applications depending on the project and asset requirements. Finally, this paper presents a framework that water asset owners and stakeholders can utilise to obtain value from investing in scan-to-BIM for existing facilities.
Reprint of: The potential role of desalination in managing flood risks from dam overflows: the case of Sydney, Australia
Publisher: Elsevier BV
Date: 10-2017
The role of climate for innovation in enhancing business performance: The case of design firms
Publisher: Emerald
Date: 05-09-2008
DOI: 10.1108/09699980810902712
Abstract: Innovation and the process of diffusion have been widely acknowledged as hinging upon the complex social psychological process. Invariably, such a process manifests itself in the form of “climate” in an organisation, which influences people's behaviours. The purpose of this paper is to empirically investigate the roles of a facet‐specific climate, namely “climate for innovation” in determining innovation‐related outcomes. In particular, this paper focuses on interrelationships and roles of specific constructs forming such climate. Additionally, this paper attempts to determine the efficacy of innovation by examining the relationship between outcomes of innovation diffusion and business performance. A conceptual model incorporating three climate for innovation constructs including leadership, team, and organisational culture along with two constructs addressing innovation diffusion outcomes and business performance was developed. Statistical analyses, specifically exploratory factor analysis (EFA) and structural equation modelling (SEM), were conducted based on the data collected from a questionnaire survey of 181 design professionals employed in Australian architecture and engineering design (AED) firms. EFA was employed as a preliminary step to ascertain the factors underlying each construct, and SEM was sequentially utilised to determine the factor structure of the model and to assess the relationships between model constructs. The results revealed that perceived organisational culture functions as a gateway to the diffusion of innovation, by mediating the relationships between leadership and team climate, and innovation diffusion outcomes. More importantly, it was found that all pathways to innovation diffusion outcomes originated from the leadership construct, highlighting its critical role in creating a supportive culture that fosters and nurtures innovation. Finally, the findings warranted the benefits of innovation by demonstrating its significant contribution to business performance in AED firms. The study presents an empirically developed model depicting pathways that explain the mechanisms of climate for innovation constructs in determining the degree of innovation diffusion outcomes and business performance. The model can potentially form the foundations of a framework for firms seeking to diagnose their existing condition and use such findings to enhance the diffusion of innovation that could, in turn, strengthen their business performance.
Smart metering: Enabler for rapid and effective post meter leakage identification and water loss management
Publisher: Elsevier BV
Date: 09-2013
R3SOLVE: A Serious Game to Support End-of-Life Rooftop Solar Panel Waste Management
Publisher: MDPI AG
Date: 10-11-2021
DOI: 10.3390/SU132212418
Abstract: A complex systems model is necessary to holistically address the end-of-life (EoL) solar panel waste problem. However, there is a significant challenge in communicating such a model to stakeholders. Serious games can overcome this challenge by simplifying a complex model via a user-friendly interface. It enables stakeholders to experiment with different decisions and understand their long-term impacts in a safe environment. In this paper, a serious game called R3SOLVE was designed from a previously developed system dynamics (SD) model. The goal of the game is to achieve certain collection and recovery outcomes through a mix of decisions ranging from product stewardship strategies, landfill regulation, technological investment, promotional effort, reuse strategy, and infrastructure improvement. The game has a single player mode, where a player can access all decisions, and a multiplayer (turn-based) mode, where two players with different roles work collaboratively to achieve the desired outcome. Rewards and penalties also exist in the game to promote players’ extrinsic motivation to use critical thinking. Both game modes have been tested in separate workshops to identify bugs and issues regarding goal clarity and in-game information. Future directions to conduct stakeholder workshops and the evaluation approach are also suggested at the end of this paper.
An empirical investigation of users' perceptions of web-based communication on a construction project
Publisher: Elsevier BV
Date: 2003
Development of a three-phase battery energy storage scheduling and operation system for low voltage distribution networks
Publisher: Elsevier BV
Date: 05-2015
Numerical study of the thermal structure of a stratified temperate monomictic water reservoir
Publisher: Elsevier BV
Date: 08-2020
Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service
Publisher: Informa UK Limited
Date: 02-04-2020
Drought and Desalination: Melbourne water supply and development choices in the twenty-first century
Publisher: Informa UK Limited
Date: 09-10-2014
Developing a Preliminary Causal Loop Diagram for Understanding the Wicked Complexity of the COVID-19 Pandemic
Publisher: MDPI AG
Date: 18-06-2020
Abstract: COVID-19 is a wicked problem for policy makers internationally as the complexity of the pandemic transcends health, environment, social and economic boundaries. Many countries are focusing on two key responses, namely virus containment and financial measures, but fail to recognise other aspects. The systems approach, however, enables policy makers to design the most effective strategies and reduce the unintended consequences. To achieve fundamental change, it is imperative to firstly identify the “right” interventions (leverage points) and implement additional measures to reduce negative consequences. To do so, a preliminary causal loop diagram of the COVID-19 pandemic was designed to explore its influence on socio-economic systems. In order to transcend the “wait and see” approach, and create an adaptive and resilient system, governments need to consider “deep” leverage points that can be realistically maintained over the long-term and cause a fundamental change, rather than focusing on “shallow” leverage points that are relatively easy to implement but do not result in significant systemic change.
Evaluating the energy and carbon reductions resulting from resource-efficient household stock
Publisher: Elsevier BV
Date: 12-2012
An autonomous and intelligent expert system for residential water end-use classification
Publisher: Elsevier BV
Date: 02-2014
Autoregressive with Exogenous Variables and Neural Network Short-Term Load Forecast Models for Residential Low Voltage Distribution Networks
Publisher: MDPI AG
Date: 30-04-2014
DOI: 10.3390/EN7052938
Embedded Systems Start-Up Under Timing Constraints on Modern FPGAs
Publisher: Springer New York
Date: 11-2012
Comparative environmental life cycle assessment of alternative osmotic and mixing dilution desalination system configurations
Publisher: Elsevier BV
Date: 05-2021
Collaborating for sustainable water and energy management: Assessment and categorisation of indigenous involvement in remote Australian communities
Publisher: MDPI AG
Date: 15-01-2019
DOI: 10.3390/SU11020427
Abstract: Indigenous peoples living in remote areas are often reliant on Governments for essential services and local economic development opportunities. Collaboration and partnership in resource planning and management is espoused as an approach that can provide multiple benefits for all stakeholders including more robust and long-lasting decisions, relationship-building and trust between government and community members as well as capacity building and empowerment of citizens. In Australia however, little evidence from the remote Indigenous community context is available to inform successful collaborations. This paper presents novel research using thematic analysis of practitioner interviews and document review to analyse the current situation of service-provider- remote community engagement and collaboration for sustainable water and energy management. An adapted typology of Indigenous engagement is applied as an analytical framework, categorising water and energy management initiatives according to four key types, each with varying levels of collaboration and implications for sustainable water and energy. Application of the typology shows that technocratic approaches to community engagement continue to dominate this space as collaborative processes are constrained by a range of institutional, governance, technical and cultural factors. The findings have implications for research, policy and practice, and point to a need for a systemic approach to address barriers and facilitate genuine collaboration.
Reprint of: Smart meter enabled informatics for economically efficient diversified water supply infrastructure planning
Publisher: Elsevier BV
Date: 10-2017
State-of-the-art review revealing a roadmap for public building water and energy efficiency retrofit projects
Publisher: Elsevier BV
Date: 12-2016
Quantifying the influence of residential water appliance efficiency on average day diurnal demand patterns at an end use level: A precursor to optimised water service infrastructure planning
Publisher: Elsevier BV
Date: 05-2012
Building Compelling Business Cases for Digital Water Metering
Publisher: Wiley
Date: 06-2021
DOI: 10.1002/AWWA.1728
Abstract: Business cases often strain to identify enough benefits to cover costs of digital water metering (DWM), consisting of advanced metering infrastructure and data analytics. An Australian study in 2020 identified 77 benefits of DWM, potentially generating cost savings and customer satisfaction improvements. Modeling software makes projections of monetary savings over the DWM project life cycle and considers customer satisfaction improvements linked to DWM deployment. Leasing meters may provide lower entry costs, shifting risks to the supplier and avoiding lock‐in of today's technology for long periods to achieve acceptable returns on investment.
Evaluating the value IT adds to the process of project information management in construction
Publisher: Elsevier BV
Date: 07-2003
Drivers and barriers to innovation in the Australian public service: A qualitative thematic analysis
Publisher: Walter de Gruyter GmbH
Date: 03-2019
Abstract: The purpose of this paper was to identify common themes from archival records related to innovation in the Australian Public Service (APS). A thematic analysis was conducted to review and evaluate archival records which consisted of transcripts from senior manager presentations at Innovation Month seminars from 2014 to 2018 and other related official documents. This empirical study addressed innovation from the leaders’ perspective, reflecting upon their experience. Analysing themes within archival records helped to gain insights from various perspectives of leaders on how they regard an innovation agenda for the APS. Three themes emerged from archival records: (1) innovation characteristics (2) drivers of innovation and (3) barriers to innovation. Synthesis of these drivers and barriers can provide important insights for senior APS managers on how they can enhance their organisations’ ability to innovate in order to respond to digital disruption challenges and opportunities. Variety of perspectives with leader’s perceptions informs about authors’ selection of the research question among consistent patterns and legitimates the salient themes as input for QSR NVivo 11.
Examining transition pathways to construction innovation in Russia: a system dynamics approach
Publisher: Informa UK Limited
Date: 16-07-2019
Transitioning to smart sustainable tourist accommodation: Service innovation results
Publisher: Elsevier BV
Date: 11-2018
Machine Learning and Data Analytic Techniques in Digital Water Metering: A Review
Publisher: MDPI AG
Date: 19-01-2020
DOI: 10.3390/W12010294
Abstract: Digital or intelligent water meters are being rolled out globally as a crucial component in improving urban water management. This is because of their ability to frequently send water consumption information electronically and later utilise the information to generate insights or provide feedback to consumers. Recent advances in machine learning (ML) and data analytic (DA) technologies have provided the opportunity to more effectively utilise the vast amount of data generated by these meters. Several studies have been conducted to promote water conservation by analysing the data generated by digital meters and providing feedback to consumers and water utilities. The purpose of this review was to inform scholars and practitioners about the contributions and limitations of ML and DA techniques by critically analysing the relevant literature. We categorised studies into five main themes: (1) water demand forecasting (2) socioeconomic analysis (3) behaviour analysis (4) water event categorisation and (5) water-use feedback. The review identified significant research gaps in terms of the adoption of advanced ML and DA techniques, which could potentially lead to water savings and more efficient demand management. We concluded that further investigations are required into highly personalised feedback systems, such as recommender systems, to promote water-conscious behaviour. In addition, advanced data management solutions, effective user profiles, and the clustering of consumers based on their profiles require more attention to promote water-conscious behaviours.
Applicability of load forecasting techniques for customer energy storage control systems
Publisher: IEEE
Date: 11-2016
Time of use tariffs: Implications for water efficiency
Publisher: IWA Publishing
Date: 02-2012
DOI: 10.2166/WS.2011.123
Abstract: Water utilities undertake long term planning for water source security, often with forecast cycles of 20–30 years. Whilst this planning is generally involved with investigations of source water abstraction security and the need to build dams or to increase the recharge rate of groundwater aquifers, planning for water efficiency gains occurs at annual intervals. Most water utilities in Australia are heavily engaged in water efficiency initiatives with rebate schemes for domestic water-efficient devices being ubiquitous across the industry. Wide Bay Water Corporation (WBWC) also engages in these activities but is increasingly interested in the concept of Time of Use Tariffs (TOUTs) to target high water users in order to reduce their demand on the system. In 2006, WBWC introduced smart metering technology across the city which captures hourly use data. Interrogation of this data has led to the ability to identify water use patterns for every domestic and commercial water customer and to design specific interventions to encourage water efficiency, such as a TOUT for domestic customers. A TOUT has been developed that imposes a penalty on all in idual consumption greater than 600 L in any hourly interval of any day in the year. The tariff was designed to reduce both the annual peak hour and peak day demand. The ability to reduce both of these infrastructure design parameters may have the potential to deliver substantial savings in infrastructure planning and deployment. This paper details the design process of this tariff, examines the infrastructure savings potential derived by network modelling and explores the regulatory framework hurdles to be overcome in order to implement such tariffs in the water industry.
Utilizing the balanced scorecard for IT/IS performance evaluation in construction
Publisher: Emerald
Date: 09-2001
DOI: 10.1108/14714170110814578
Abstract: Leading organizations do not stop at the gathering and analysis of performance data rather, these organizations use performance measurement to stimulate improvement efforts and successfully translate strategy into action. In other words, they use performance measurement for managing their organizations. The most commonly used performance evaluation tool, the balanced scorecard (BSC) has been used extensively in the manufacturing, government, banking, retail, insurance and financial services sectors. This paper looks at potential applications and benefits of using the BSC as a framework to evaluate the performance improvement resulting from IT/IS implementation by a construction organization. The paper firstly seeks to adapt the original BSC concept to construction and then attempts to develop a performance measurement framework in the form of a tiered “Construct IT” BSC. The developed framework allows for the measurement of IT/IS performance at three different decision‐making tiers (i.e., project, business unit and enterprise tiers). At each tier, a group of performance indicators are used to describe key aspects of activities that occur frequently enough to warrant meaningful measurement and comparison. The proposed framework applies the analytic hierarchy process (AHP) and multi‐attribute utility theory (MAUT) to facilitate aggregating the obtained erse performance measurements, thus giving rise to an overall IT/IS performance improvement measure (score) at each decision‐making tier. To illustrate the application of the proposed framework, a project tier ex le is provided.
Residential potable and recycled water end uses in a dual reticulated supply system
Publisher: Elsevier BV
Date: 05-2011
Determining the relative importance of titania nanotubes characteristics on bone implant surface performance: A quality by design study with a fuzzy approach
Publisher: Elsevier BV
Date: 09-2020
A three-dimensional manganese model for the management of a monomictic drinking water reservoir
Publisher: Elsevier BV
Date: 12-2021
Integrating Lifecycle Thinking in Asset Management Through BIM: Opportunities for the Water Sector
Publisher: Springer Singapore
Date: 2020
Enhancing Innovativeness in the Construction Sector: A System Dynamics Analysis
Publisher: Springer International Publishing
Date: 22-12-2020
Facilitating industry translation of custom 3d printed bone prostheses and scaffolds through Quality by Design
Publisher: Elsevier BV
Date: 2019
Examining the potential for energy-positive bulk-water infrastructure to provide long-term urban water security: A systems approach
Publisher: Elsevier BV
Date: 02-2017
Framework for enhancing the supply-demand balance of a tri-supply urban water scheme in Australia
Publisher: MDPI AG
Date: 13-10-2011
DOI: 10.3390/W3040976
Quality by Design for industry translation: Three‐dimensional risk assessment failure mode, effects, and criticality analysis for additively manufactured patient‐specific implants
Publisher: Wiley
Date: 2020
DOI: 10.1002/ENG2.12113
Analysis of the mixing processes in the subtropical Advancetown Lake, Australia
Publisher: Elsevier BV
Date: 03-2015
A new droop characteristic for energy storage system dispatch commands generation
Publisher: IEEE
Date: 10-2017
Novel autoregressive basis structure model for short-term forecasting of customer electricity demand
Publisher: IEEE
Date: 04-2013
Expert Opinion Valuation Method to Quantify Digital Water Metering Benefits
Publisher: MDPI AG
Date: 18-05-2020
DOI: 10.3390/W12051436
Abstract: Business cases promoting the introduction of digital water metering (DWM) have, to date, focused on a limited number of benefits, especially water savings, metering costs, occupational health and safety (OHS), and deferral of capital works. An earlier study by the authors catalogued 75 possible benefits and developed a taxonomy based on a literature review, interviews and water industry reports. The objective of the present study was to elicit the opinions of Australian water industry experts on the benefits, then use the opinions to form probability distributions which, in future work, could be used to model the value of DWM benefits. The study findings have implications for researchers and practitioners seeking to accurately and stochastically model the benefits of DWM transformation programmes. Thematic analyses on the open ended responses scaled likelihood and estimated value of benefits into comparable units. We found 82% support for the benefits of DWM with only 6% disagreement and 12% non-commital the savings value of cost of water benefits were predominately expected to range between 5% and 10% and much higher in some in idual situations, while charges/operational costs benefits were predominately expected to range between 45% and 100% and, moreover, we indicated how a risk-based range of project benefit could potentially be calculated. Opportunities for further investigations were identified.
Achieving career satisfaction through fostering innovation: lessons from the engineering profession in the Australian public sector
Publisher: Walter de Gruyter GmbH
Date: 12-2021
Abstract: This paper proposes a novel approach that integrates the capability of empirical validation of structural equation modelling (SEM) and the prediction ability of Bayesian networks (BN). The Hybrid SEM–BN approach was used as a decision support framework to examine the interplay between salient organisational constructs and their ability to influence engineers’ career satisfaction in the Australian Public Service (APS). The results emphasise that the ambidextrous culture for innovation was the most important factor that needed to be implemented in their organisation. Managerial implications are recommended for senior managers on how they can implement innovation culture to increase workplace innovation, which could, in turn, help reduce the turnover rate of engineers employed in the APS.
Evaluating coral reef ecosystem services outcomes from climate change adaptation strategies using integrative system dynamics
Publisher: Elsevier BV
Date: 05-2021
Implementation of pressure and leakage management strategies on the gold coast, Australia: Case study
Publisher: American Society of Civil Engineers (ASCE)
Date: 05-2007
Application of quality by design for 3D printed bone prostheses and scaffolds
Publisher: Public Library of Science (PLoS)
Date: 12-04-2018
Intelligent autonomous system for residential water end use classification: Autoflow
Publisher: Elsevier BV
Date: 06-2015
Intelligent data mining of vertical profiler readings to predict manganese concentrations in water reservoirs
Publisher: IWA Publishing
Date: 04-2014
Fast sequential FPGA startup based on partial and dynamic reconfiguration
Publisher: IEEE
Date: 07-2010
Hybrid three-dimensional modelling for reservoir fluorescent dissolved organic matter risk assessment
Publisher: Informa UK Limited
Date: 11-08-2022
Web-based knowledge management system: Linking smart metering to the future of urban water planning
Publisher: Informa UK Limited
Date: 06-2010
An autonomous decision support system for manganese forecasting in subtropical water reservoirs
Publisher: Elsevier BV
Date: 11-2015
Energy intensity of rainwater harvesting systems: A review
Publisher: Elsevier BV
Date: 06-2014
Development of a Real-Time, Mobile Nitrate Monitoring Station for High-Frequency Data Collection
Publisher: MDPI AG
Date: 17-07-2020
DOI: 10.3390/SU12145780
Abstract: A mobile monitoring station was developed to measure nitrate and physicochemical water quality parameters remotely, in real-time, and at very high frequencies (thirty minutes). Several calibration experiments were performed to validate the outputs of a real-time nutrient sensor, which can be affected by optical interferences such as turbidity, pH, temperature and salinity. Whilst most of these proved to play a minor role, a data-driven compensation model was developed to account for turbidity interferences. The reliability of real-time optical sensors has been questioned previously however, this study has shown that following compensation, the readings can be more accurate than traditional laboratory-based equipment. In addition, significant benefits are offered by monitoring waterways at high frequencies, due to rapid changes in analyte concentrations over short time periods. This, combined with the versatility of the mobile station, provides opportunities for several beneficial monitoring applications, such as of fertiliser runoff in agricultural areas in rural regions, aquaculture runoff, and waterways in environmentally sensitive areas such as the Great Barrier Reef.
Forecasting low voltage distribution network demand profiles using a pattern recognition based expert system
Publisher: Elsevier BV
Date: 04-2014
Hybrid water treatment cost prediction model for raw water intake optimization
Publisher: Elsevier BV
Date: 2016
Green building, split-incentives and affordable rental housing policy
Publisher: Informa UK Limited
Date: 24-10-2019
Identifying and overcoming barriers to collaborative sustainablewater governance in remote Australian indigenous communities
Publisher: MDPI AG
Date: 17-11-2019
DOI: 10.3390/W11112410
Abstract: Collaboration between government agencies and communities for sustainable water governance in remote Indigenous communities is espoused as a means to contribute to more equitable, robust, and long-term decision-making and to ensure that water services contribute to broader considerations of physical, social, and economic prosperity. In Australia, the uptake of collaborative water governance in remote Aboriginal and Torres Strait Island contexts has been slow and few ex les exist from which to inform policy and practice. This study identifies barriers to uptake of collaborative sustainable water governance, drawing from qualitative interviews with water practitioners working in remote Indigenous Australia and analysis of key project documentation. Thematic analysis revealed discrete barriers across five key categories: (1) governance arrangements, (2) economic and financial, (3) capacity and skills, (4) data and information, and (5) cultural values and norms, with many barriers identified, unique to the remote Indigenous Australian context. The paper provides insights into how to address these barriers strategically to create transformative and sustainable change for Indigenous communities. The results contribute to the greater body of knowledge on sustainable and collaborative water governance, and they are of relevance for broader water management, policy, and research.
An empirical investigation into the link between information technology implementation barriers and coping strategies in the Australian construction industry
Publisher: Emerald
Date: 09-2004
DOI: 10.1108/14714170410815079
Abstract: The need for the improved implementation of information technology (IT) has been identified in both empirical and highly structured research studies as being critical to effective innovation and development at an industry and enterprise level. This need is greater in the construction industry as it has been relatively slow to embrace the full potential of IT‐based technologies. In an attempt to understand why the construction industry lags other industries in the uptake and effective implementation of IT, this study reports on an investigation of the Australian construction industry, which identifies the impediments or barriers to IT implementation and the most effective coping strategies to overcome them. A questionnaire‐based research approach was adopted for this purpose and a total of 134 valid survey responses were received from various architectural, engineering and construction professionals. The questionnaire was designed to identify perceptions of the most significant barriers to IT implementation and to determine the most “practical” and “effective” corresponding coping strategies to mitigate their effects at three decision‐making levels: Industry Organization and Project.
Enhancing residential water end use pattern recognition accuracy using self-organising maps and K-means clustering techniques: Autoflow v3.1
Publisher: MDPI AG
Date: 10-09-2018
DOI: 10.3390/W10091221
Abstract: The aim of residential water end-use studies is to disaggregate water consumption into different water end-use categories (i.e., shower, toilet, etc.). The authors previously developed a beta application software (i.e., Autoflow v2.1) that provides an intelligent platform to autonomously categorize residential water consumption data and generate management analysis reports. However, the Autoflow v2.1 software water end use event recognition accuracy achieved was between 75 to 90%, which leaves room for improvement. In the present study, a new module augmented to the existing procedure improved flow disaggregation accuracy, which resulted in Autoflow v3.1. The new module applied self-organizing maps (SOM) and K-means clustering algorithms for undertaking an initial pre-grouping of water end-use events before the existing pattern recognition procedures were applied (i.e., ANN, HMM, etc.) For validation, a dataset consisting of over 100,000 events from 252 homes in Australia were employed to verify accuracy improvements derived from augmenting the new hybrid SOM and K-means algorithm techniques into the existing Autoflow v2.1 software. The water end use event categorization accuracy ranged from 86 to 94.2% for the enhanced model (Autoflow v3.1), which was a 1.7 to 9% improvement on event categorization.
Statistical analysis and modelling of the manganese cycle in the subtropical Advancetown Lake, Australia
Publisher: Elsevier BV
Date: 12-2016
Construction innovation diffusion in the Russian Federation barriers, drivers and coping strategies
Publisher: Emerald
Date: 13-07-2015
Abstract: – The aim of this study is to explore the current situation in the Russian construction industry and the obstacles, drivers and strategies that affect innovation implementation most significantly. The Russian construction industry is highly conservative and is often criticised for its lack of innovation. Construction firms invest relatively little in innovation adoption, development of new ideas and formal research and development. – This study utilised an extensive literature review followed by a questionnaire survey incorporating some post hoc interviews with 52 experts from the Russian architecture, engineering and construction industry to identify the most significant drivers, enablers, barriers and strategies related to innovation diffusion in construction. – Findings indicated that economic and financial difficulties, as well as inappropriate legislation, are the most significant barriers to innovation. Financial incentives, legislative improvements and the promotion of alternative construction procurement methods were viewed as the most critical strategies to improve the current lacklustre rate of innovation diffusion. – While there is anecdotal evidence that the Russian construction industry is lagging in terms of technological advancement, its closed nature means that there is still little reported evidence on what are the main barriers to innovation diffusion in this country. Hence, there is a lack of focus on innovation diffusion rates in different construction sectors, such as building and civil infrastructure and limited consideration on how effectively the research and development sector contributes to innovation.
Data Mining to Uncover Heterogeneous Water Use Behaviors From Smart Meter Data
Publisher: American Geophysical Union (AGU)
Date: 11-2019
DOI: 10.1029/2019WR024897
Critical pathways to enhanced innovation diffusion and business performance in Australian design firms
Publisher: Elsevier BV
Date: 10-2009
Site Selection of Combined Offshore Wind and Wave Energy Farms: A Systematic Review
Publisher: MDPI AG
Date: 20-02-2023
DOI: 10.3390/EN16042074
Abstract: Growing energy demand worldwide and onshore limitations have increased interest in offshore renewable energy exploitation. A combination of offshore renewable energy resources such as wind and wave energy can produce stable power output at a lower cost compared to a single energy source. Consequently, identifying the best locations for constructing combined offshore renewable energy farms is crucial. This paper investigates the technical, economic, social, and environmental aspects of Combined Offshore Wind and Wave Energy Farm (COWWEF) site selection. Past literature was evaluated using a systematic review method to synthesize, criticize, and categorize study regions, dataset characteristics, constraints, evaluation criteria, and methods used for the site selection procedure. The results showed that most studied regions belong to European countries, and numerical model outputs were mainly used in the literature as met-ocean data due to the limited coverage and low spatiotemporal resolution of buoy and satellite observations. Environmental and marine usage are the main constraints in the site selection process. Among all constraints, shipping lanes, marine protected areas, and military exercise areas were predominately considered to be excluded from the potential sites for COWWEF development. The technical viability and economic feasibility of project deployment are emphasized in the literature. Resource assessment and distance to infrastructures were mostly evaluated among techno-economic criteria. Wind and wave energy power are the most important criteria for evaluating feasibility, followed by water depth, indicators of variability and correlation of the energy resources, and distance to the nearest port. Multi-Criteria Decision-Making (MCDM) methods and resource-based analysis were the most-used evaluation frameworks. Resource-based studies mainly used met-ocean datasets to determine site technical and operational performance (i.e., resource availability, variability, and correlation), while MCDM methods were applied when a broader set of criteria were evaluated. Based on the conducted review, it was found that the literature lacks evaluation of seabed conditions (seabed type and slope) and consideration of uncertainty involved in the COWWEF site selection process. In addition, the market analysis and evaluation of environmental impacts of COWWEF development, as well as impacts of climate change on combined exploitation of offshore wind and wave energy, have rarely been investigated and need to be considered in future studies. Finally, by providing a comprehensive repository of synthesized and categorized information and research gaps, this study represents a road map for decision-makers to determine the most suitable locations for COWWEF developments.
Role of financial mechanisms for accelerating the rate of water and energy efficiency retrofits in Australian public buildings: Hybrid Bayesian Network and System Dynamics modelling approach
Publisher: Elsevier BV
Date: 2018
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Start Date: 12-2016
End Date: 12-2020
Amount: $265,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP100200033
Start Date: 06-2011
End Date: 08-2015
Amount: $270,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP190101218
Start Date: 06-2021
End Date: 06-2024
Amount: $540,750.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP110200767
Start Date: 03-2012
End Date: 11-2015
Amount: $181,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP210301176
Start Date: 09-2023
End Date: 09-2026
Amount: $419,378.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0775348
Start Date: 05-2007
End Date: 05-2010
Amount: $240,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP140100118
Start Date: 04-2015
End Date: 06-2018
Amount: $241,366.00
Funder: Australian Research Council
View Funded Activity