Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-4901 Article 2024 Ibrahim Z.S.; Byiringiro J.B.; Ndeda R.; Murunga S.I. Design and Implementation of a Virtual Reality Platform for the Festo Compact MPS Machine SSRG International Journal of Electrical and Electronics Engineering 10.14445/23488379/IJEEE-V11I3P124 The current system for monitoring water quality is manual, monotonous, and time-consuming. This paper proposes a water quality monitoring system based on virtual reality and the digital twin. The goal of this research is to create a virtual reality platform with the Festo compact machine using digital twin technologies to monitor and control the growth of E. coli in the water. MPN is an approach used to determine the presence or absence of microorganisms in each repeat portion of the original sample. IIoT infrastructures are used for integration and establishing a two-way communication protocol. DT gathers information from sensors mounted on actual objects to assess operating conditions, changes over time, and object performance in real-time. This work provides a comprehensive solution for the real-time monitoring and management of E. coli growth in mineral water facilities. The study used previous material to examine and understand the controllable factors that contribute to the proliferation of Escherichia coli in mineral water. The Parameters such as time, temperature, and chlorine dosage are remotely monitored and controlled via the combined VR, IIoT, and DT platforms. VR is used for supervisory control, in which directives and commands are transmitted to the actual station for implementation. Data obtained allowed the creation of an empirical model for the modeling and control of the growth of E. coli in water production plants. Β© 2024 Seventh Sense Research GroupΒ®
publications-4902 Conference paper 2024 Ispir A.C.; Speetjens M. DIGITAL TWIN DEVELOPMENT of A R134A PLATE-TUBE EVAPORATOR Proceedings of ASME 2024 Heat Transfer Summer Conference, HT 2024 10.1115/HT2024-122272 This work proposes a machine-learning framework for developing digital twins of evaporators, crucial components within heat pumps, by training nonlinear regression models with highfidelity unsteady CFD data. This is applied to a plate-Tube type heat evaporator within a single-stage heat pump utilizing R134a refrigerant to recover heat from waste water. The independent variables are chosen as the refrigerant and water inlet velocity and temperature values, and the R134a evaporation pressure under transient conditions. We identify the dynamic heat transfer process in the evaporator with three objective functions i.e., dependent variables: heat transfer coefficients on both the water and refrigerant sides, and dryness fraction at the outlet of the refrigerant flow domain. The Latin hypercube data-sampling method is employed to generate a data space along the selected independent variables. Reynolds-Averaged Navier-Stokes filtered flow equations, coupled with the Volume of Fluid method for modeling phase change in the 3D heat exchanger domain, are solved for each scenario in the data space to generate the training data. Gaussian process regression, trained using 80% of the generated data and validated by the remaining set, is utilized to identify surrogate models for the objective functions at each time interval during operation. Β© 2024 by ASME.
publications-4903 Conference paper 2024 Sbravati A.; Cheim L.V.; Finn M.; Marciniak M. Discrete Elements Thermo-Chemical Digital Twin Incorporating Oil and Paper Degradation 2024 IEEE Electrical Insulation Conference, EIC 2024 10.1109/EIC58847.2024.10579360 Understanding the distribution of the water inside a transformer is of paramount importance for assessing its degradation and reliability. The challenge lies in the lack of direct measurement solutions. Even systems hermetically sealed experience a gradual increase in the total water content. The degradation of the cellulose-based materials generates water as a byproduct, which accumulates inside the transformer gradually. The authors presented an article introducing the thermo-chemical model at this same conference in 2023 [1]. Based on the well-known initial conditions of the transformer, the water content of the insulating liquid and the solid insulation is recalculated for each numerical integration step iteratively, finding a new solution for the system of equations that distributes the total mass of water inside the transformer. The estimation of the solid insulation degradation rate takes into consideration the equations from Annex A of IEC 60076-7:2018 allowing a comparison with the traditional Arrhenius model. Paper degradation is used to calculate the stoichiometric generation of water due to the scissions of the cellulose molecules. The variation of the water saturation limit with the aging of mineral oil was incorporated into the model, as suggested during last year’s presentation. This calculation is based on the CIGRE Technical Brochure 741 [2], and the IEC 60422 [3]. This paper presents the resultant model and the results of the simulation of the life of transformers submitted to different loading conditions. The method was named β€_x009c_Thermo-Chemical Digital Twinβ€_x009d_. It applies a variation of Runge–Kutta methods for integrating the life consumption of the transformer based on successive steps of loading application, dynamically representing several thermo-chemical processes. The iterative calculation stops when the accumulated life consumption reaches 180,000 hours. Β©2024 IEEE.
publications-4904 Article 2024 Guo Y.; Chen C.; Luo X.; Martek I. Critical drivers and barriers of digital twin adoption in water infrastructure: An environmental, social, governance, and financial perspective Sustainable Development 10.1002/sd.3196 Digital twin (DT) is increasingly recognized as a valuable instrument for improving water infrastructure efficiency. However, current research has yet to identify drivers and barriers impacting the use of DT in water infrastructure practices. Preliminary work has been undertaken regarding drivers and barriers of DT in the manufacturing, processing, and construction industries, but not in water. Therefore, this study engages two questions. First, what are the drivers and barriers to DT adoption in water infrastructure projects? Second, which of these drivers and barriers are critical? A literature review targeting an Environmental, Social, Governance, and Financial (ESG-Financial) framework was undertaken to identify candidate drivers and barriers. Text mining not only supplements but also validates and refines the list of driving and barrier factors obtained from literature reviews. Next, a fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was utilized to find those most critical. Subsequently, a questionnaire survey provided cross-validation of the fuzzy DEMATEL results. Finally, 11 critical drivers and 8 critical barriers were identified. Based on these findings, some policy implications are proposed, including developing the potential of DT in water environment monitoring, strengthening collaboration, improving DT model reuse, promoting DT value capture, enhancing publicity, and increasing DT education investment. Β© 2024 ERP Environment and John Wiley & Sons Ltd.
publications-4905 Conference paper 2024 Ross J.; Collins B.; Clarno K. State Estimation and Control in Digital Twins for TRIGA Research Reactors Proceedings of the International Conference on Physics of Reactors, PHYSOR 2024 10.13182/PHYSOR24-43709 An initial study was conducted to test the viability of digital twins in TRIGA research reactors for state estimation and automated control.The tranport code MPACT was adopted as a high order model, while point kinetics and a novel LSTM function served as a physics-enhanced machine learning method for the low order model.The PK-LSTM workflow was able to predict the flux at a specific location with an rms error of 1.3E-2 over an entire transient.Additionally, the low order model was used to create a pseudo-optimal control scheme with an rms error of 1.8E-2 for flux step changes. Β© 2024 AMERICAN NUCLEAR SOCIETY. All rights reserved.
publications-4906 Review 2024 Zhou K.; Fan Y.; Gao Z.; Chen H.; Kang Y. Research progress on operation control and optimal scheduling of irrigation canal systems Irrigation and Drainage 10.1002/ird.3028 Open canals are a common water transfer method used in water transfer projects and agricultural irrigation and drainage projects. With the emergence of drawbacks in traditional canal control models and the increasingly severe shortage of water resources, accurate transport and distribution of water in the canal system of the irrigation district, rational allocation of water resources, reduction in water loss, improvement in the efficiency and benefit of water resource utilization, and satisfaction of the water demand of different water users are needed. Many scholars have conducted extensive research on canal operation control and optimal scheduling. This paper systematically reviews and summarizes the relevant research progress, including the theory of unsteady flow in open canals, the operation mode of the canal system, the operation control model and algorithm of canal systems, and the optimization of water distribution in canal systems. By summarizing the research progress already achieved, the existing problems and future development directions are identified according to actual needs, providing a reference for the ongoing modernization of irrigation districts and the research and application of digital twin irrigation district technology. Β© 2024 John Wiley & Sons, Ltd.
publications-4907 Conference paper 2024 Wang J.; Yang X.; An X. Application of digital twin in intelligent supervision of ship pollution prevention and control in ship lock waters Proceedings of SPIE - The International Society for Optical Engineering 10.1117/12.3034853 Ship locks not only undertake the task of inland navigation, but also the water environment of ship locks is related to people's livelihood in inland river basins. Traditional supervision of ship pollution prevention and control in ship lock waters still adopts sampling monitoring, manual experience judgment, naked eye observation, manual recording and statistical analysis, etc., which not only affects waterway transportation, but also manually misses inspection, and the emergency response of sewage discharge lags behind, which makes it difficult to meet the requirements of modern operation and maintenance management of ship locks. Combined with the current situation of ship pollution prevention and control supervision in ship locks and the characteristics of digital twin technology, this paper uses digital twin technology from the perspective of operation and maintenance management to build an intelligent supervision system for ship pollution prevention and control in ship lock waters, which provides reference for promoting the intelligent supervision and construction of ship pollution prevention and control in ship lock waters. Β© 2024 SPIE.
publications-4908 Conference paper 2024 Parodi A.; Jensen J.L.; Stefansson E.; SΓΈnderby H.; MelΓ©n J.F.; Maglica A. Moisture monitoring in cable anchorages before and after dehumidification Bridge Maintenance, Safety, Management, Digitalization and Sustainability - Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024 10.1201/9781003483755-349 Water presence in lower cable anchorages has been a long-term challenge on the Uddevalla Bridge in Sweden, as on several other cable-stayed bridges. To find an ultimate solution to the possible corrosion development, a moisture monitoring system has been installed in two selected anchorages. Over 1Β½ year, the system has provided the base of data required for tracking the formation of condensation, the mechanisms of water ingress and the efficiency of the drainage ways. All the above has also been assessed in relation to different interventions carried out on the anchorages. The monitoring system is currently used to evaluate the effectiveness of a prototype dehumidification system, designed to ensure an internal relative humidity below 40%, which will eliminate the risk of corrosion development. A potential way forward is to develop the moisture monitoring system into a digital twin, enabling to extrapolate the moisture assessment to all anchorages of the bridge. Β© 2024 The Author(s).
publications-4909 Article 2024 Bazmohammadi N.; Madary A.; Vasquez J.C.; Guerrero J.M. New Horizons for Control and Energy Management of Closed Ecological Systems: Insights and Future Trends IEEE Industrial Electronics Magazine 10.1109/MIE.2024.3437341 Closed ecological systems (CESs) are complex systems mandatory for long-lasting crewed space missions to provide necessary consumables for sustaining human lives. The functioning of CESs depends on the availability of electrical power to operate several subsystems to regenerate air, produce food, and recycle water and waste. In the space environment, considering the limited power supply capacity and the dynamic nature of power requirements, an advanced control and energy management system (EMS) is required for coordinated electricity supply, demand, and reserve management. Further, meeting the strict operational needs of CESs, especially those related to life-sustaining constraints, should be guaranteed. This article provides new insights into the key requirements of control and EMSs of CESs and their future trends. In addition, the role of data-driven tools and digital twins (DTs) in the operation management of advanced CESs is discussed. Β© 2007-2011 IEEE.
publications-4910 Review 2024 Ryan E.D.; Trivedi I.; Terlizzi S.; Shields A.; Schanfein M.; Reyes G.; Stewart R. Challenges and Technology-Driven Opportunities for Safeguarding Microreactors Nuclear Science and Engineering 10.1080/00295639.2024.2372223 Nuclear microreactors (MRs) represent a new class of reactors characterized by their compactness, portability, and low power output. These features enable MRs to supply electricity and process heat to remote areas like military bases; inaccessible locations; small grids, such as on islands; or disaster impacted areas. Compared to traditional light water reactors, MRs have a unique set of attributes that need to be considered for the implementation of safeguard strategies. Current safeguard methodologies are reactor technology specific and are employed on large, stationary reactors where there is easy access by safeguards inspectors and where safeguard equipment can be easily installed and retrofitted. While there are numerous benefits to MRs, their compact size, portability, scalability, and operational lifetime create challenges to the traditional safeguard approaches, thus needing novel safeguard strategies. This paper addresses the unique challenges posed by MRs to the international nuclear safeguards regime, including limited human resources, and explores how technology advancements can help mitigate these challenges. Specifically, it examines novel technologies that could contribute to establishing a comprehensive safeguards framework for MRs. These safeguards-enabling technologies encompass safeguards by design, remote sensing and monitoring technologies, applications of artificial intelligence and machine learning algorithms, utilization of digital twins, and system of systems assessments. While each of these safeguards-enabling technologies offers partial solutions to the challenges posed by MRs for the international safeguards regime, none of them alone can entirely address these challenges. Consequently, a combination of the safeguards-enabling technologies outlined in this paper is recommended to establish a robust safeguards regime for MRs. Β© 2024 American Nuclear Society.