Age of intelligent metering and big data: Hydroinformatics challenges and opportunities (original) (raw)
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Re-engineering traditional urban water management practices with smart metering and informatics
Environmental Modelling and Software, 2018
Current practice for the design of an urban water system usually relies on various models that are often founded on a number of assumptions on how bulk water consumption is attributed to customer connections and outdated demand information that does not reflect present consumption trends; meaning infrastructure is often unnecessarily overdesigned. The recent advent of high resolution smart water meters and advanced data analytics allow for a new era of using the continuous 'big data' generated by these meter fleets to create an intelligent system for urban water management to overcome this problem. The aim of this research is to provide infrastructure planners with a detailed understanding of how granular data generated by an intelligent water management system (Autoflow©) can be utilised to obtain significant efficiencies throughout different stages of an urban water cycle, from supply, distribution, customer engagement, and even wastewater treatment.
Environmental Modelling & Software, 2018
Advanced metering technologies coupled with informatics creates an opportunity to form digital multiutility service providers. These providers will be able to concurrently collect a customers' medium-high resolution water, electricity and gas demand data and provide user-friendly platforms to feed this information back to customers and supply/distribution utility organisations. Providers that can install low-cost integrative systems will reap the benefits of derived operational synergies and access to mass markets not bounded by historical city, state or country limits. This paper provides a vision of the required transformative process and features of an integrated multi-utility service provider covering the system architecture, opportunities and benefits, impediments and strategies, and business opportunities. The heart of the paper is focused on demonstrating data modelling processes and informatics opportunities for contemporaneously collected demand data, through illustrative examples and four informative water-energy nexus case studies. Finally, the paper provides an overview of the transformative R&D priorities to realise the vision.
Intelligent Metering for Urban Water: A Review
Water (MDPI), 2013
This paper reviews the drivers, development and global deployment of intelligent water metering in the urban context. Recognising that intelligent metering (or smart metering) has the potential to revolutionise customer engagement and management of urban water by utilities, this paper provides a summary of the knowledge-base for researchers and industry practitioners to ensure that the technology fosters sustainable urban water management. To date, roll-outs of intelligent metering have been driven by the desire for increased data regarding time of use and end-use (such as use by shower, toilet, garden, etc.) as well as by the ability of the technology to reduce labour costs for meter reading. Technology development in the water sector generally lags that seen in the electricity sector. In the coming decade, the deployment of intelligent water metering will transition from being predominantly “pilot or demonstration scale” with the occasional city-wide roll-out, to broader mainstream implementation. This means that issues which have hitherto received little focus must now be addressed, namely: the role of real-time data in customer engagement and demand management; data ownership, sharing and privacy; technical data management and infrastructure security, utility workforce skills; and costs and benefits of implementation.
Machine Learning and Data Analytic Techniques in Digital Water Metering: A Review
Water
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 c...
Mining Big Data for Sustainable Water Management
2020
The power of advanced analytics is substantial. Massive scales of big, structured and unstructured data relieve unthinkable patterns and help us redefine economic models, solve operational inefficiencies and optimize costs. The water utilities could substantially benefit from the data available from new digital assets and smart technologies. Many are facing damaged and failing infrastructure and lack of financial resources for makeovers. However, Industry 4.0 and Digitalization open new fronts and bring new assets such as real-time monitoring of critical systems via IoT and sensors, advanced metering and predictive analytics to improve customer billing, remote data collection systems at pumping stations and water storage facilities and many more. The power of “digital twin”, as a virtual replica of a physical asset, and ways of enriching the traditional data sources with open source data increase considerably the available intelligence for more sophisticated correlation, linkages an...
The role of 'smart metering' in demand management, customer service, labor optimization, and operational efficiency is becoming increasingly recognized by Australasian water utilities. The objectives of this paper are to provide a summary of the 2013 and 2014 surveys and in-depth interviews that were aimed at gauging the penetration of smart metering (SM) and intelligent water network (IWN) projects in Australian and New Zealand water utilities and to identify outputs and challenges faced subsequent to their implementation.
Waternomics: A Cross-site Data Collection to Support the Development of a Water Information Platform
Procedia Engineering, 2015
In Europe, 20 to 40% of water is being wasted due to poor infrastructure, consumer negligence and lack of proper resource management. Effective and efficient management of water resources requires a holistic approach considering all the stages of water usage, which includes the application of ICT technologies that are capable of transmitting and analysing water data to deliver actionable insights to end-users. A primary requirement for ICT-based water innovations is the ability to collect and process water data from disparate locations. In this paper, we present a cloud-based cross-site data collection system, which is being developed as part of an EU funded research project named Waternomics.
Automatic Meter Reading (AMR) systems are being deployed in many cities to obtain insight into the status and the behavior of District Metering Area (DMA) with more granularity. Until now, the water consumption readings of the population were taken one per month or one each two-months. In contrast, AMR systems provide hourly readings for households and more frequent readings for big consumers. On the one hand, this paper aims at predicting water demand and detect suspicious behaviors -e.g. a leak, a smart meter break down or even a fraud -by extracting water consumption patterns. On the other hand, the main contribution of this paper, a software framework, based on Big Data techniques, is presented to tackle the barriers of traditional data storage and data analysis since the volume of AMR data collected by Water Utilities is enormous and it is continuously growing because this technology is expanding
Applications of hydroinformatics in municipal water systems
2014
The application of hydroinformatics in municipal water systems has become an important part of the water utilities industry operations. The general characteristics of such systems are examined. A short review of the current status of available tools is presented first, including the main areas of application. Next, information is given on the general status of such applications in Greece today, along with references in currently active projects. Two case studies are examined and presented.