Andrea Cominola

Andrea Cominola
Technische Universität Berlin | TUB · Chair of Smart Water Networks

PhD Information Technology | Water demand modelling and management

About

41
Publications
12,766
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726
Citations

Publications

Publications (41)
Article
Full-text available
Consumption-based feedback has been demonstrated to encourage water conservation behaviors. Smart meters and digital solutions can support customized feedback and reinforce behavioral change. Yet, most of the studies documenting water conservation effects induced by feedback and smart meter data visualization evaluate them in short-term experimenta...
Article
Information on residential power consumption patterns disaggregated at the single-appliance level is an essential requirement for energy utilities and managers to design customized energy demand management strategies. Non-Intrusive Load Monitoring (NILM) techniques provide this information by decomposing the aggregated electric load measured at the...
Article
With increasing water and energy use in the residential sector, due to population growth, urbanization, and climate change, demand-side management (DSM) is essential to complement supply-side in- terventions to meet future demands and reduce costs. This paper explores how customer segmentation analysis can support customized water and electricity D...
Article
Full-text available
Knowledge on the determinants and patterns of water demand for different consumers supports the design of customized demand management strategies. Smart meters coupled with big data analytics tools create a unique opportunity to support such strategies. Yet, at present, the information content of smart meter data is not fully mined and usually need...
Article
Full-text available
Leakages in water distribution networks (WDNs) are estimated to globally cost 39 billionUSD/year and cause water and revenue losses, infrastructure degradation, and other cascading effects. Their impacts can be prevented and mitigated with prompt identification and accurate leak localization. In this work, we propose the leakage identification and...
Conference Paper
Full-text available
Achieving a thorough understanding of the determinants of household water consumption is crucial to support demand management strategies. Yet, existing research on household water consumption determinants is often limited to specific case studies, with findings that are difficult to generalize and not conclusive. Here, we contribute a framework for...
Conference Paper
Full-text available
Higher education institutes all over the world have rapidly adopted emergency remote teaching in response to the COVID-19 pandemic. This shift has been analysed by numerous publications and from various angles. The state-of-the-art literature spans from descriptive analyses, which provide overviews on which tools or Learning Management Systems (LMS...
Conference Paper
Full-text available
Many water distribution systems worldwide experience prolonged intermittent water supply under conditions of water scarcity, both in developed and developing countries. In addition to water scarcity and droughts, infrastructural failures (e.g., leakages) further confront the environmental and economic sustainability of water utility operations. The...
Conference Paper
Full-text available
Leakages and other infrastructure failures represent major challenges confronting the reliability, efficiency, and resilience of water distribution networks (WDNs). Timely identification and accurate localization of these anomalies is paramount to mitigate water and revenue losses, and avoid unwanted cascading effects. Previous resilience studies h...
Data
This database contains the compilation of papers on the impact of COVID-19 on Higher Education reviewed in "M. Huth, B. Meyer, L. Westphal, M. Fischer, and A. Cominola. The Impact of COVID-19 on Higher Education – Are Blended Learning Formats the Way Forward? A Review of Best Practices. Proceedings of the SEFI 49th Annual Conference, 2021, Société...
Article
Full-text available
This Editorial presents the paper collection of the Special Issue (SI) on Smart UrbanWater Networks. The number and topics of the papers in the SI confirms the growinginterest of operators and researchers for the new paradigm of Smart Networks as part ofthe more general Smart City. The SI showed that digital information and communicationtechnology...
Article
Full-text available
Over the last three decades, the increasing development of smart water meter trials and the rise of demand management has fostered the collection of water demand data at increasingly higher spatial and temporal resolutions. Counting these new datasets and more traditional aggregate water demand data, the literature is rich with heterogeneous urban...
Article
Full-text available
Digital technologies are disrupting several economic sectors and creating new business opportunities. As part of this transformation, the utility sector is also becoming more digital. However, water businesses have been slow to change paradigm and so far adopted digital technologies with incremental steps, often acting reactively to water scarcity...
Data
This file contains the complete catalog of datasets and publications reviewed in: Di Mauro A., Cominola A., Castelletti A., Di Nardo A.. Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets. Water 2021. The complete catalog contains: - 92 state-of-the-art water demand datasets identified at the district, h...
Conference Paper
Full-text available
Non-Intrusive Load Monitoring (NILM) algorithms are actively being researched to disaggregate the electricity usage of a whole household into the contribution of individual appliances. While understanding the usage patterns of individual appliances can be beneficial for flattening the peak demand, reducing the electricity bill, and improving the en...
Article
Full-text available
Drastic changes in electricity demand have been observed since March 2020 in Europe, after several countries implemented lockdown-like measures to contain the spread of COVID-19. We investigate the sensitivity of the electricity-water nexus in the European electric grid to large-scale behavior changes during the COVID-19 pandemic lockdown-like meas...
Article
Full-text available
Neurocomputing methods have contributed significantly to the advancement of modelling techniques in surface water hydrology and hydraulics in the last couple of decades, primarily due to their vast performance advantages and usage amenity. This comprehensive review considers the research progress in the past two decades, the current state-of-the-ar...
Article
The operation of large-scale water distribution networks (WDNs) is a complex control task due to the size of the problem, the need to consider key operational, quality and safety-related constraints as well as because of the presence of uncertainties. An efficient operation of WDNs can lead to considerable reduction in the energy used to distribute...
Conference Paper
Water losses are one of the main consequences of infrastructure failures in water distribution networks (WDNs), accounting for more than 50% in some WDNs worldwide. Methods that support prompt detection and accurate localization of leakages are crucial to help water utilities implement timely mitigation measures and avoid unnecessary losses of wate...
Conference Paper
The advent of advanced metering technologies combined with machine learning creates an opportunity to form digital multi-utility service providers. These service providers can concurrently collect a customers’ water, electricity and gas demand data and provide phone and web applications to disseminate this information back to utility professionals...
Chapter
This paper presents the main deliverable of Improving Access to Resources at Reduced Risk for Urban Areas with Strong Informal Settlements (IMPARAR), a project belonging to the realm of social innovation and development. IMPARAR aims at promoting social development and inclusion in the deprived neighborhoods of Guayaquil (Ecuador) by increasing cit...
Article
Full-text available
The theory of optimal channel networks (OCNs) explains the existence of self-similarities in river networks by multiple optimality principles, namely, (i) the minimum energy expenditure in any link, (ii) the equal energy expenditure per unit area of channel anywhere, and (iii) the minimum total energy expenditure (TEE). These principles have been u...
Article
Full-text available
Advanced metering technologies coupled with informatics creates an opportunity to form digital multi-utility 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/dist...
Article
Full-text available
Understanding the tradeoff between the information of high-resolution water use data and the costs of smart meters to collect data with sub-minute resolution is crucial to inform smart meter networks. To explore this tradeoff, we first present STREaM, a STochastic Residential water End-use Model that generates synthetic water end-use time series wi...
Article
Water reservoir operations have great potential for contributing positively to the development of different socio-economic sectors as well as for reducing the vulnerabilities of water systems caused by changing hydroclimatic and anthropogenic forcing. This motivates the search for advanced, flexible, and open tools supporting the design of operatin...
Conference Paper
Developing effective demand-side management strategies is essential to meet future residential water demands, pursue water conservation, and reduce the costs for water utilities. The effectiveness of water demand management strategies relies on our understanding of water consumers’ behavior and their consumption habits and routines, which can be mo...
Conference Paper
Full-text available
Smart metering technologies allow for gathering high resolution water demand data in the residential sector, opening up new opportunities for the development of models describing water consumers’ behaviors. Yet, gathering such accurate water demand data at the end-use level is limited by metering intrusiveness, costs, and privacy issues. In this pa...
Conference Paper
The design of user-customized water demand management strategies (WDMS) does require detailed information on the users’ water consumption habits and demand patterns. While low-resolution consumption data, as traditionally collected for billing purposes, do not allow for detailed investigations on consumers’ behavior, the recent advent of smart wate...
Conference Paper
Full-text available
Identifying the most relevant determinants of water consuming or saving behaviors at the household level is key to building mathematical models that predict urban water demand variability in space and time and to explore the effects of different Water Demand Management Strategies for the residential sector. This work contributes a novel approach ba...
Conference Paper
Full-text available
A detailed knowledge of water consumption at an end-use level is an essential requirement to design and evaluate the efficiency of water saving policies. In the last years, this has led to the development of automated tools to disaggregate high resolution water consumption data at the household level into end use categories. In this work, a new dis...
Conference Paper
Full-text available
Designing effective urban water demand management strategies at the household level does require a deep understanding of the determinants of users’ consumption. Low resolution data on residential water consumption, as traditionally metered, can only be used to model consumers’ behavior at an aggregate level whereas end uses breakdown and the motiva...
Conference Paper
Full-text available
Designing effective urban water demand management strategies at the household level does require a deep understanding of the determinants of users’ consumption. Low resolution data on residential water consumption, as traditionally metered, can only be used to model consumers’ behavior at an aggregate level whereas end uses breakdown and the motiva...
Conference Paper
SmartH2O is an EU funded project which aims at creating a virtuous feedback cycle between water users and the utilities, providing users information on their consumption in quasi real time, and thus enabling water utilities to plan and implement strategies to reduce/reallocate water consumption. Traditional metering data, usually gathered twice a y...
Conference Paper
The paper presents the main characteristics and expected results of IMPARAR (Improving Access to Resources at Reduced Risk for Urban Areas with Strong Informal Settlements), a project belonging to the realm of social innovation and development that aims at promoting social development and inclusion in deprived neighbourhoods of the city of Guayaqui...
Conference Paper
Full-text available
Water and sediment interactions shape hillslopes, regulate soil erosion and sedimentation, and organize river networks. Landscape evolution and river organization occur at various spatial and temporal scale and the understanding and modelling of them is highly complex. The idea of a least action principle governing river networks evolution has been...

Projects

Projects (2)
Archived project
The SmartH2O project develops an ICT platform for improving the management of urban and peri-urban water demand thanks to the integrated use of smart meters, social computation, and dynamic water pricing, based on advanced models of consumer behavior. Water consumers are people whose behavior depends on a variety of motivations and social and individual drivers and triggers. For this reason, it is necessary to develop a framework able to consider both the technical and the social sides of the problem, and able to promote the active engagement of the consumers with the shared objective of saving water and energy. The SmartH2O project aims to provide water utilities, municipalities and citizens, with an ICT-enabled platform to design, develop and implement better water management practices and policies, leading to a reduction in water consumption, without compromising the quality of life, and to an increase in resource security. The project is led by SUPSI (University of Applied Sciences of Southern Switzerland) which is supported by seven partners, from academia and industry. Discover here more details on the project partners, our platform architecture, specific objectives and use cases.