Digital Twins: The Next Generation of Water Treatment Technology

Curl, Jason; Nading, Tyler; Hegger, Kyle; Barhoumi, Amer; Smoczynski, Monika

doi:10.1002/awwa.1413

Cited by 28 publications

(21 citation statements)

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“…DTs are particularly researched in the field of manufacturing; only a limited number of scientific papers were found in water-related research fields, with even fewer focusing on defining DTs in a structured way [4]. Many industries and consulting companies, however, praise the virtues of digital twins in professional magazines [10][11][12][13] and on their websites [14][15][16]. Some utility companies appear to take a structured approach to working with DTs, but, for the most part, they do not publish their findings in scientific journals, so they are not present in the Scopus statistics.…”

Section: Literature Studymentioning

confidence: 99%

“…Autonomous cars [37], water distribution systems [4], oil and gas industry [38], or urban drainage systems (as discussed in this paper). Plant WRRF [5] or drinking water facilities [12] Unit Process/Operation, Hydraulic Structure DTs of overflow structures, other complicated hydraulic constructions, or biochemical processes in the WRRF treatment step [39] Component e.g., pumping devices [40] guided by the DT for maintenance of the product.…”

Section: Systemmentioning

confidence: 99%

“…The DT group in the SWAN industry network [19] proposed a graphical illustration to define the DT concept for water and wastewater systems, where data integration, analytics (both data-driven and physics-based models), and visualization are emphasized as key elements in a DT. These have been identified as key elements for water treatment and distribution systems, but the importance of being "hydraulically accurate" and using "short time steps" has also been highlighted [12]. Therrien et al (2020) [5] discussed the DT concept from a WRRF perspective and suggested that the key components of a DT are a virtual system capable of simulating a physical system, measurements, the real-time exchange of data, predictions, and intelligent actions.…”

Section: Digital Twins For Water and Wastewater Systemsmentioning

confidence: 99%

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Living and Prototyping Digital Twins for Urban Water Systems: Towards Multi-Purpose Value Creation Using Models and Sensors

Pedersen

Borup

Brink-Kjær³

et al. 2021

Water

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In this paper, we review the emerging concept of digital twins (DTs) for urban water systems (UWS) based on the literature, stakeholder interviews and analyzing the current DT implementation process in the utility company VCS Denmark (VCS). Here, DTs for UWS are placed in the context of DTs at the component, unit process/operation or hydraulic structure, treatment plant, system, city, and societal levels. A UWS DT is characterized as a systematic virtual representation of the elements and dynamics of the physical system, organized in a star-structure with a set of features connected by data links that are based on standards for open data. This allows the overall functionality to be broken down into smaller, tangible units (features), enabling microservices that communicate via data links to emerge (the most central feature), facilitated by application programing interfaces (APIs). Coupled to the physical system, simulation models and advanced analytics are among the most important features. We propose distinguishing between living and prototyping DTs, where the term “living” refers to coupling observations from an ever-changing physical twin (which may change with, e.g., urban growth) with a simulation model, through a data link connecting the two. A living DT is thus a near real-time representation of an UWS and can be used for operational and control purposes. A prototyping DT represents a scenario for the system without direct coupling to real-time observations, which can be used for design or planning. By acknowledging that different DTs exist, it is possible to identify the value-creation from DTs achieved by different end-users inside and outside a utility organization. Analyzing the DT workflow in VCS shows that a DT must be multifunctional, updateable, and adjustable to support potential value creation across the utility company. This study helps clarify key DT terminology for UWS and identifies steps to create a DT by building upon digital ecosystems (DEs) and open standards for data.

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Section: Literature Studymentioning

confidence: 99%

Section: Systemmentioning

confidence: 99%

Section: Digital Twins For Water and Wastewater Systemsmentioning

confidence: 99%

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Living and Prototyping Digital Twins for Urban Water Systems: Towards Multi-Purpose Value Creation Using Models and Sensors

Pedersen

Borup

Brink-Kjær³

et al. 2021

Water

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“…While these present challenges to hydrological modelling, supervisor control and data acquisition (SCADA) systems have begun to address these issues in water and wastewater utilities. The next step forward is to introduce widespread use of DTs, enabling dynamic process simulations to improve the design of new facilities, reduce risk and optimise operations [61]. DTs have been present in the water distribution industry for several years, with utility companies such as Global Omnium in Spain, Anglian Water in the UK, and Halifax in Canada implementing this technology, primarily for the purpose of reducing water leakage through prediction of pipe failures [60].…”

Section: Digital Twins In Water Systemsmentioning

confidence: 99%

Digital Twins in Civil Infrastructure Systems

et al. 2021

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This research explores the existing definitions, concepts and applications surrounding the efficient implementation and use of digital twins (DTs) within civil infrastructure systems (CISs). The CISs within the scope of this research are as follows: transportation, energy, telecommunications, water and waste, as well as Smart Cities, which encompasses all of the previous. The research methodology consists of a review of current literature, a series of semi-structured interviews and a detailed survey. The outcome of this work is a refined definition of DTs within CISs, in addition to a set of recommendations for both future academic research and industry best practice.

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“…As an example of the application of the DT in the literature review; In a study, describes the difficulties encountered by ship system engineers and their solution with the applied DT [19]. In another study, by creating DTs without risking public health or the environment, high quality purified water is provided [22]. Table 1 shows the different application areas of DT.…”

Section: Applications Of Digital Twinmentioning

confidence: 99%

Endüstriyel Süreçlerin Dijitalleştirilmesi için Yol Haritası

Ileri¹,

Furat²

2020

European Journal of Science and Technology

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Migrating the industry and society into digital area have gradually been increased in recent years. Digitalization has made our life more efficient and faster. As a result of digitalization, the Fourth Industrial Revolution, also known as Industry 4.0, was born. The Fourth Industrial Revolution, like previous revolutions, aims to facilitate life and improve the quality of life. Two terms are especially important for digitalization. These terms are Industry 4.0 and Internet of Things (IoT). Industry 4.0 and the IoT focus on the networking and automation of devices both used human being and industry. Digitalization and IoT technologies play an important role in improving energy efficiency. Digital twin (DT) technology is one of the most important key of Industry 4.0 technologies under digitalization. DT represents a digital copy of a physical system or entity. Physical objects and DT models created interact with each other. DT technologies have a wide range from manufacturing to healthcare sectors and from maritime transportation to the heavy industry. DT provides many conveniences for industries to grow with digitalization. Meanwhile, DT draws attention with its development in the academic field. In this study, an overview of DT is presented, a DT roadmap is proposed, some algorithms emerging in the concept of DT for industrial processes are explained and a case study is analyzed. This roadmap shows different methods to be applied in order to make accurate forecasting for the future applications and sustainable manufacturing with DT. As a result, DT concept is thought to attract much attention in the near future.

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Digital Twins: The Next Generation of Water Treatment Technology

Cited by 28 publications

References 0 publications

Living and Prototyping Digital Twins for Urban Water Systems: Towards Multi-Purpose Value Creation Using Models and Sensors

Living and Prototyping Digital Twins for Urban Water Systems: Towards Multi-Purpose Value Creation Using Models and Sensors

Digital Twins in Civil Infrastructure Systems

Endüstriyel Süreçlerin Dijitalleştirilmesi için Yol Haritası

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