| publications-3661 |
article |
2023 |
Ciliberti, Francesco and Berardi, Luigi and Laucelli, Daniele Biagio and Ariza, Andres David and Enriquez, Laura Vanessa and Giustolisi, Orazio |
From digital twin paradigm to digital water services |
Journal of Hydroinformatics |
10.2166/hydro.2023.237 |
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Abstract In the context of water distribution networks (WDNs), researchers and technicians are actively working on new ways to transition into the digital era. They are focusing on creating standardized methods that fit the unique characteristics of these systems, with a strong emphasis on developing customized digital twins. This involves combining advanced hydraulic modeling with advanced data-driven techniques like artificial intelligence, machine learning, and deep learning. This paper begins by giving a detailed overview of the important progress that has led to this digital transformation. It highlights the potential to create interconnected digital water services (DWSs) that can support all aspects of managing, planning, and designing WDNs. This approach introduces standardized procedures that allow a continuous improvement of the digital representation of these networks. Additionally, technicians benefit from DWSs developed as QGIS software plugins. These services strategically enhance their understanding of technical decisions, improving logical reasoning, consistency, scalability, integrability, efficiency, effectiveness, and adaptability for both short-term and long-term management tasks. Notably, the framework remains adaptable, ready to embrace upcoming technological advancements and data gathering capabilities, all while keeping end-users central in shaping these technical developments. |
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| publications-3662 |
article |
2022 |
Silva, Gabriel and Silva, Gabriel and Araujo, Antonio and AraΓΊjo, AntΓ³nio |
Framework for the Development of a Digital Twin for Solar Water Heating Systems |
International Conference on Computer Aided Design |
10.1109/iccad55197.2022.9853899 |
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Energy efficiency in buildings is a key issue in the context of smart cities and should embrace a more intensive use of renewable energies. As such, many European countries are now promoting the use of solar energy for hot water production, giving financial incentives and introducing mandatory building regulations. It is proposed a framework for the development of a digital twin-based management system for a solar heating system. This is a concept framework and thus no results are yet available. The proposed framework takes advantage of the latest technologies, machine learning, IoT, experience-based information interchange between the physical system and the digital twin to achieve energy efficiency optimization. This novel approach integrates connectionist models and optimization techniques, bringing together complementary reasoning strategies for efficient energy use in real-time. This framework contributes to a better understanding of the effectiveness of digital twins on the automation of energy-dependent systems and explores new dimensions concerning the integration of autonomous intelligent management systems into physical systems. |
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| publications-3663 |
article |
2022 |
Gyimah, Nafisat and Gyimah, Nafisat and Scheler, Ott and Scheler, Ott and Rang, Toomas and Rang, Toomas and Pardy, TamΓ΅s and Pardy, Tamas |
Digital twin for controlled generation of water-in-oil microdroplets with required size |
International Conference on Thermal, Mechanial and Multi-Physics Simulation and Experiments in Micro-Electronics and Micro-Systems |
10.1109/eurosime54907.2022.9758876 |
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In this paper, we report a digital twin of a droplet microfluidic system with closed-loop droplet size control. Compared to the state-of-the-art, this digital twin allows evaluating the system for a wider range of droplet sizes. We constructed a digital twin of a microfluidic Flow-Focusing Device (FFD) that used a Proportional Integral (PI) controller to automatically adjust the flow rate of the dispersed phase, to obtain the required droplet size. The efficacy of the digital twin was evaluated using six droplet diameters ranging from 30-60 m. The simulation results show good agreement between the tested and measured droplet sizes (R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> = 0.993). |
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| publications-3664 |
article |
2023 |
GalvΓ£o, Matheus and Rici, Pedro and Lopes, Rui Pedro |
Digital Twin for Regional Water Consumption Simulation and Forecasting |
OL2A |
10.1007/978-3-031-53025-8_23 |
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| publications-3665 |
article |
2023 |
Fargas-Marquès, Andreu and Cornellà -Gil, Joan |
A Digital Twin for Large Diameter Water Distribution Pipes |
Pipelines 2023 |
10.1061/9780784485033.008 |
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Smart water technologies such as electromagnetic pipe inspection and online pipe monitoring are changing pipe maintenance in water utilities. The paper presents their application in a digital twin to improve asset management based on the challenge faced by the Tarragona Water Consortium (CAT) after experiencing a catastrophic failure on its main pipeline. An initial inspection with electromagnetic technology detected 35 pipes out of 13,188 with different degree of damage. Eight of them had high risk of failure and were replaced. Digital twin online pipe monitoring added 20 alarm events in six months and identified a high-risk area that is being by-passed with a new pipe. This highlights the importance of online monitoring for accurate calculation of remaining life of installed pipes to enable advanced planning and risk management. Use of gathered information leads to safe operation and increased reliability, key outcomes for water utilities as they provide a public service. |
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| publications-3666 |
article |
2022 |
Kadinski, Leonid and Kadinski, Leonid and Berglund, Emily Zechman and Berglund, Emily Zechman and Ostfeld, Avi and Ostfeld, Avi |
An Agent-Based Model for Contamination Response in Water Distribution Systems during the COVID-19 Pandemic |
Journal of Water Resources Planning and Management |
10.1061/(asce)wr.1943-5452.0001576 |
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Contamination events in water distribution systems (WDS) are emergencies that cause public health crises and require fast response by the responsible utility manager. Various models have been developed to explore the reactions of relevant stakeholders during a contamination event, including agent-based modeling. As the COVID-19 pandemic has changed the daily habits of communities around the globe, consumer water demands have changed dramatically. In this study, an agent-based modeling framework is developed to explore social dynamics and reactions of water consumers and a utility manager to a contamination event, while considering regular and pandemic demand scenarios. Utility manager agents use graph theory algorithms to place mobile sensor equipment and divide the network in sections that are endangered of being contaminated or cleared again for water consumption. The status of respective network nodes is communicated to consumer agents in real time, and consumer agents adjust their water demands accordingly. This sociotechnological framework is presented using the overview, design, and details protocol. The results comprise comparisons of reactions and demand adjustments of consumers to a water event during normal and pandemic times, while exploring new methods to predict the fate of a contaminant plume in the WDS. |
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| publications-3667 |
article |
2023 |
Vizanko, Brent and Kadinski, Leonid and Ostfeld, Avi and Berglund, Emily Zechman |
Social Distancing, Water Demand Changes, and Quality of Drinking Water During the Covid-19 Pandemic |
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10.2139/ssrn.4572518 |
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| publications-3668 |
article |
2023 |
Giustolisi, O. |
Digital transition, digital twin and digital water: history, concepts and overview for the application to aqueducts |
Digital Water |
10.1080/28375807.2024.2313975 |
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| publications-3669 |
article |
2022 |
Langenheim, N. and Langenheim, Nano and Sabri, S. and Sabri, Soheil and Chen, Y. and Chen, Y. and Kesmanis, A. and Kesmanis, A. and Felson, A. and Felson, Alexander J. and Mueller, A. and Mueller, AndrΓ©as and Rajabifard, A. and Rajabifard, Abbas and Zhang, Y. and Zhang, Y. |
ADAPTING A DIGITAL TWIN TO ENABLE REAL-TIME WATER SENSITIVE URBAN DESIGN DECISION-MAKING |
The international archives of the photogrammetry, remote sensing and spatial information sciences |
10.5194/isprs-archives-xlviii-4-w4-2022-95-2022 |
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Abstract. Landscape architects and urban designers are often tasked with decision-making about implementation of flood moderating measures in urban renewal projects. These decisions require consideration of complex, interdependent existing and proposed infrastructure, and must be informed by data and modelling from multiple disciplines such as hydrologists, transport engineers and urban planners. Here we describe the challenges of integrating these data and modelling from both GIS and BIM sources, into a framework that could support flood moderation decision-making, embedded within a spatially enabled Digital Twin. Our findings outline some of the considerable adjustments to future data collection methods that will be required to enable such a decision-support framework. Furthermore, we outline the requirements of the framework for employability in stakeholders and community decision-making forums. We test this framework on a large-scale urban renewal precinct in Melbourne Australia, with well recognised current and future flooding issues. |
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| publications-3670 |
article |
2022 |
Yingxin, Wu and Yingxin, Wu and Xintong, Huang and Xintong, Huang and Jiangang, Ma and Jiangang, Ma |
A digital twin-driven water plant flocculation and precipitation pharmacy control system |
2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) |
10.1109/icaica54878.2022.9844466 |
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As an indispensable part of production and life, tap water has a large scale of consumption every year. Among them, coagulation drug injection is an important link in purifying water quality in the production process of tap water treatment. At present, the drug injection mode of domestic water purification plants is mainly feedforward control or single-factor closed-loop control based on flow current. The parameter response to multiple parameters cannot be responded quickly, which limits the control effect and causes the problem of flocculant drug waste. Therefore, in view of the above problems, the project has built an intelligent control system of waterworks flocculant drugs based on big data by comprehensively using big data, digital twin, Internet of Things and deep learning, so as to realize the precise dosage of flocculant. |
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