| publications-4881 |
Conference paper |
2024 |
Maliqi M.; Lamy D.; Grimaud F. |
Digital Twin for Sustainable Systems Methodology: Application in Water Network Management |
IFIP Advances in Information and Communication Technology |
10.1007/978-3-031-71743-7_11 |
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Digital twins have emerged as a promising technology in sustainability efforts, particularly in managing critical resources. Of these resources, water has assumed critical importance across various industries, necessitating effective management strategies. This paper explores the application of digital twins that include not only product flow but also other as energy and fluid flow. Our main focus is to build a Digital Twin that serves as a decision-support tool in the context of water distribution across diverse industries with varying needs. Specifically, we propose a digital twin framework aimed at analysing and optimizing water consumption within a collaborative network comprising various stakeholders, for example, water suppliers, regulatory authorities (such as the Prefecture), network controllers, and end-users within a circular economy context. Furthermore, a case study is presented to illustrate the implementation of the initial phases of the proposed framework. Β© IFIP International Federation for Information Processing 2024. |
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| publications-4882 |
Article |
2024 |
Yue S.; Lyu G.; Wen Y.; Chen M. |
Progresses in integrated application methods of geographic analysis models for virtual geographic environment construction; [ι_x009d_Άε‘θ™_x009a_ζ‹_x009f_ε_x009c_°η†η_x008e_―εΆƒζ_x009e_„ε»Ίη_x009a_„ε_x009c_°η†ε†ζ_x009e_模ε_x009e_‹ι›†ζ应用方法进展] |
National Remote Sensing Bulletin |
10.11834/jrs.20233005 |
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Geographic analysis models serve as crucial resources for tackling geo-problems, simulating geographic environments, and supporting decision-making analysis. They play a key role in constructing virtual geographic environments (also known as digital twin geographic environments). Integrating geographic analysis models with diverse simulation capabilities from various fields enables a comprehensive representation of real geographical environments. This integration supports the development of visual, usable, analyzable, and interactive virtual geographic environments. This study systematically examines the current research progress in the integration methods of geographic analysis models. In general, integrating physical and social processes and merging big data with deep learning have gained increased attention in recent years. Compared with using a single model, multimodel integration enhances the understanding of the objective geographical world by integrating multiple elements and processes. Integrating models within a single domain or across domains ultimately involves basic execution links, such as combining, nesting, and connecting multiple models in a specific computing environment. In response to this, customized integration and modular integration are the main approaches to current geographical analysis model integration research. Customized integration offers tailored solutions for specific models considering cognitive and technical characteristics. However, it is heavily influenced by individual model characteristics and may become unsustainable during the integration of numerous models, leading to frequent revision activities. Modular integration relies on standardized components with clear association logic and supports component replacement. However, it faces strong technical dependencies and constraints, such as those that involve programming language, data structure, and operating environment. In practice, current model integration research often varies between customization and modularity, with the former lacking sustainability and the latter being limited by compatibility issues. In this study, the idea of a β€_x009c_geographic analysis model containerβ€_x009d_ is proposed, and the methods are implemented to address the problems mentioned. With the assistance of the concept of containerization, the data, programs, and computing resources upon which geographical models rely are loaded into a β€_x009c_container.β€_x009d_ Then, the model is developed in a customized manner within the container, while the modular model integration work occurs outside the container. Striking a balance between customized and modular approaches is anticipated to enhance the overall effectiveness of geographic modeling and simulation efforts. Conducting a multilevel, multigranularity, and multiscale integration across elements, processes, and functional relationships is necessary for addressing specific geographical problems. The development of β€_x009c_geographic analysis model containersβ€_x009d_ tailored to express geographical system evolution laws and driving mechanisms has become crucial. Accumulating and improving model integration capabilities based on containers is expected to establish an effective bridge between model construction, transformation, and integration. This advancement can promote geographical models from experimental tools to essential components of social service infrastructure. Decision-making analysis, solution simulation, and customized planning capabilities can be provided for various digital twin geographical scenarios (such as digital twin cities, digital twin river basins, and digital twin water conservancies) by integrating geographical analysis models. This integration drives advancements in digital twins, metaverses, and digital human technology, spanning visual experiences, operation, and maintenance management. It also incorporates geographical knowledge, enhances interactive functions, and promotes a comprehensive understanding. Β© 2024 Science Press. All rights reserved. |
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| publications-4883 |
Article |
2024 |
Andersen M.L.; Sævik S.; Wu J.; Leira B.J.; Langseth H. |
Applying Bayesian optimization to predict parameters in a time-domain model for cross-flow vortex-induced vibrations |
Marine Structures |
10.1016/j.marstruc.2023.103571 |
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As the demand for harvesting offshore energy increases worldwide, the need for slender structures, such as marine risers and power cables, will increase. The dominating loads for deep water applications will primarily be caused by current-structure interactions, where vortex-induced vibrations (VIV) are known to be a challenging response type to handle correctly during design. Semi-empirical time-domain models are promising for VIV prediction, but uncertainties related to simplifications in the hydrodynamic load model and empirical parameters lead to over-conservative designs, where the parameters are estimated from model tests within a relatively low Reynolds number range. The aim of this paper is to present an efficient tool to estimate empirical hydrodynamic parameters directly from test data. To illustrate the method, the hydrodynamic parameters were estimated from pure cross-flow VIV model tests in a steady current with Reynolds numbers in the range of 40,000-120,000. The parameters were updated sequentially by using a Bayesian optimization framework, with the aim of minimizing an objective function that incorporates the response errors between time-domain VIV simulations and model test data. It is shown that three empirical parameters can be obtained simultaneously, resulting in small response errors but the optimal parameters were overly sensitive to variations in the flow velocity. The optimal parameters were used to reconstruct the drag amplification related to cross-flow VIV and in forced motion simulations to illustrate how the parameters in the load model would map into the traditional formulation in terms of the added mass and excitation coefficient. Β© 2023 |
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| publications-4884 |
Article |
2024 |
Di Nicola F.; Lonardi G.; Fantuzzi N.; Luciano R. |
Structural integrity assessment of an offshore platform using RB-FEA |
International Journal of Structural Integrity |
10.1108/IJSI-10-2023-0099 |
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Purpose: The paper aims to analyze the structural integrity of an existing offshore platform located in the Northern Adriatic Sea, followed by the topside decommissioning and the re-utilization of the jacket as a wind turbine support. The structural integrity assessment against the in-place and the long-term actions is accomplished by using a reduced basis finite element method (RB-FEA) software program assessing the capability of the jacket to be used as a support for wind turbines at the end of its life cycle as oil and gas (O&G) platform. Design/methodology/approach: The project starts by modeling the jacket, and subsequently, the structural analyses for the in-place loads in operative and extreme conditions are performed. Then, the fatigue analysis is carried out in order to define the cumulative damage necessary to evaluate the possibility to use the jacket as a wind turbine support. Findings: The results show that the jacket, at the end of the service life as O&G platform, is able to withstand the loads produced by the installation of the wind turbine since the analyses are satisfied even with the conservative approach used which overestimates the thickness loss assuming a linear increasing value during the service life. Research limitations/implications: Because of the chosen approach, the study presents some limitations, especially concerning the real state of the platform which has been defined considering the thickness loss only. Additionally, a 1D model was used to perform the analyses, and hence, a 3D model could help in evaluating the critical points with higher precision. Practical implications: The assessment of the structure could be improved by modeling a digital twin of the assetΒ allowing a real-time monitoring which, however, involves a huge amount of data to be processed, so a suitable simulation technology must be used. Originality/value: The RB-FEA proposed by Akselos is suitable to perform the analyses speeding up the processing of the data even in real time. Β© 2024, Emerald Publishing Limited. |
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| publications-4885 |
Conference paper |
2024 |
Barnes N.L.; Hartwich E.D. |
Digital transition in asset management – Virtual inspections of bridges |
Bridge Maintenance, Safety, Management, Digitalization and Sustainability - Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024 |
10.1201/9781003483755-344 |
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In Denmark, bridge managers are obligated to conduct principal inspections every sixth year. Today, most inspections of bridge structures are outsourced to consultancy companies performing visual inspections on-site, facing challenges such as traffic restrictions, subjectivity and consistency in documentation, and difficult access- and working conditions. However, the ongoing digital transformation of O&M of bridges offers viable solutions through the integration of technical equipment including drones, sensors, software, etc. in the inspection process, leading to significant environmental, economic, and technical benefits. By employing highquality RGB photogrammetry and thermal imagery captured by drones etc., a Reality Capture Model, a visual Digital Twin of the structure, is generated. The COWI Virtual inspection software facilitates principal inspections with AI-aided defect detection enabling multiple specialists to annotate damages or defects directly on the RCM and revisit the bridge structure when necessary. Additionally, the thermal imagery, when combined with RGB photos, enables the detection of delaminations, honeycombing, and water ingress in concrete structures. In 2023, a virtual principal inspection of the pylons on the Faroe Bridges and the Queen Alexandrines Bridge is conducted. This paper presents key findings from pilot projects to complete virtual inspections and highlights the benefits and challenges associated with the transition to virtual inspection methodologies and future AI-driven- and performance-based asset management. Β© 2024 The Author(s). |
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| publications-4886 |
Conference paper |
2024 |
Busollo C.; Abdo E.; Kattar M.; Mauro S.; Troise M.; Salamina L. |
Evolution of a Digital Twin for Underground Gas Storage Wells: Thermal Effects of Tubing Gas Flow on Annulus Pressure in Transient Conditions |
Society of Petroleum Engineers - SPE Europe Energy Conference and Exhibition, EURO 2024 |
10.2118/220006-MS |
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Underground Gas Storage (UGS) wells are essential assets in the energy security and sufficiency strategy of any nation. UGS wells present a complex set of equipment that are carefully fit together to create the functioning well envelope responsible for maintaining the well within its working limits. The set of equipment forming the well envelope are referred to as well barriers and it is essential to maintain them in an integral and functioning status. The ongoing advancement in technology, computer science and in remote monitoring has enhanced the efficiency of oil and gas production and the maintenance of new and old assets [1] [2]. Continuous and real time analysis of well barrier status allows to capture the smallest details in the functioning of the well barrier as well as timely intervention, if necessary. [3] introduces a modern integrated logging suite used for the identification of possible leaks in the casing or in other elements of UGS wells. Digital Twins have led the way in this regard allowing operators to drill and operate the well virtually alongside the real operation. Well interventions, planned to restore the integrity of a well barrier, can be implemented virtually first, and the results of the intervention can be evaluated. This helps save time and cost. Digital Twins simplify the management of UGS wells since their performances are easily monitored, allowing management levels of oil companies to manage many wells efficiently [4]. In [5] the development of an assisting production decision technology based on DT technologies is shown; the model is divided in different layers that concern data, model, simulation, logics, and result visualization. In [6] the description of the digital twin of wellbore, used to monitor in real-time more than 230 production and injection wells. The reliability of the Digital Twins allowed the use of the model as digital instrumentation during operations performed on wellbores that do not have sensors. An operator in [7], instead, presents the digital twin of the production phase of a deep-water wellbore on the Brazilian coast, and the successful results of a real-time case study. Copyright 2024, Society of Petroleum Engineers. |
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| publications-4887 |
Article |
2024 |
Tang Y.; Shen L.; Wu J.; Zhang Y.; Cheng Y.; Xu Y. |
Numerical Simulation of Hydraulic Characteristics of Frame-type Current Meter Based on Dynamic Grid 6DOF Model and Prediction of Flow Measurement Rate Constant in Open Channel; [ε_x009f_ΊδΊ_x008e_ε_x008a_¨η½‘ζ Ό6DOF模ε_x009e_‹η_x009a_„框ζ_x009e_¶εΌ_x008f_ζµι€_x009f_δ»ζ°΄ε_x008a_›η‰Ήζ€§] |
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery |
10.6041/j.issn.1000-1298.2024.09.032 |
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A six degrees of freedom rigid body dynamics coupled numerical simulation model under dynamic grid was established, and the passive rotation process of the propeller caused by water impacting the frame-type current meter was simulated. It was based on the Navier - Stokes equation for incompressible fluid flow and the SST k - u> turbulence model, combined with the VOF multiphase flow model. This was done to analyze the flow field characteristics and motion posture of the frame-type current meter in the open channel, while calibrating the multiplier constant K and friction coefficient C. In this way, this can analyze the influence of different positions of the current meter on the multiplier constant K and friction coefficient C. The results showed that the use of the dynamic grid 6D0F model can effectively simulate the flow state of the frame-type current meter in open channels, and the simulation results were highly reliable. By analyzing the fitting curves of rotational speed and flow velocity at different times, it can be concluded that the different positions of the current meter would affect the magnitude of the friction coefficient C of the current meter, and it had little effect on the multiplication constant K of the current meter. This achievement can provide theoretical basis and technical support for the construction of digital twin irrigation areas and the measurement of open channel water in irrigation areas. The research results can provide necessary references for further research on the optimization of frame-type current meter and the wear of current meters under different sediment flow conditions. Β© 2024 Chinese Society of Agricultural Machinery. All rights reserved. |
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| publications-4888 |
Conference paper |
2024 |
Geremicca F.; Fascetti A.; Brigham J.C.; Bilec M.M. |
Urban Metabolism and Digital Twin Technologies for a Sustainable Built Environment: Towards a Framework for a Campus Application |
IOP Conference Series: Earth and Environmental Science |
10.1088/1755-1315/1363/1/012081 |
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With rapid urbanization necessitating innovative strategies for urban adaptation, combining technological advancements and holistic methodologies, this research explored the synergy between urban metabolism and digital twin technologies to foster sustainable urban development. A pilot model representing a university building, including the surrounding streetscape, was constructed using the Unreal Engine. By using available CAD design drawings and GIS technologies, the physical spaces were modelled. The physical and analytical environments were integrated into the digital twin; material flow analysis was also conducted. The developed framework aims to offer a detailed visualization of building behaviour, facilitating comparisons with urban metabolism analysis. This approach holds promise for sustainable urban design by integrating diverse data streams through digital twin technologies. The potential impact of this research extends to the tracking, mapping, and analysis of crucial resource flows, such as materials, water, energy, and waste, fostering circular economy strategies within the built environment. Understanding urban metabolism facilitates the identification of resource-efficient opportunities, promoting resource recovery and reuse to reduce the environmental impact of urban cores. Embracing digital twin technologies and urban metabolism analysis offers cities streamlined data collection processes, supporting standardization and sustainable urban practices. This study marks a critical step towards integrating diverse data streams into urban metabolism analysis, aligning with circularity objectives in the built environment. By adopting this framework, cities can better understand new production and consumption patterns that prioritize the responsible use of natural resources, contributing to a more sustainable and resilient future. Β© 2024 Institute of Physics Publishing. All rights reserved. |
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| publications-4889 |
Conference paper |
2024 |
Bourne H.M.; Hosein S.; Keilty G.; Kuijpers K.; Rawi Z.; Kaasa B. |
Integrating Digital Tools to Optimise Scale Management – Case Studies |
Society of Petroleum Engineers - SPE Oilfield Scale Symposium, OSS 2024 |
10.2118/218700-MS |
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Information is crucial for effective scale management, and it is often the case that scaling events could have been avoided if operations were aware of the evolving risk in real time. Scale management requires an understanding of the produced fluids and the scale threat they create in different parts of the production system as temperatures, pressures and fluid rates change. It requires the timely deployment of preventative and or remedial barriers and appropriate monitoring to ensure these barriers are maintained. Understanding the parameters that have an impact on the scale risk and the monitoring required to ensure barrier health can be an arduous, manually intensive task, relying on the retrieval and review of source data from multiple locations. However, gaps in this data can lead to an incomplete understanding of the scale risk and/or the barrier health which could result in unexpected scaling events requiring costly intervention work and production deferrals. This paper describes the suite of cloud based β€digital twin’ tools that bp has developed and is integrating into its operations, providing on-line, real-time calculation of the scale risk and the health of the barrier deployed to manage the risk on a well-by-well basis. The paper presents field case studies where the suite of tools, integrated into a dashboard, have been implemented. The first, a field that has previously experienced a scaling event after changes in well operating conditions, describes how on-line scale prediction coupled to water chemistry and environmental scanning electron microscopy (ESEM) analysis now provides the operation with live updates on the risk and health of the deployed barriers supporting the timely planning or suspension of treatments. Other case studies describe the integration of the digital dashboard to specifically optimise wash water injection rates to manage halite in an asset with produced water handling constraints and the use of a squeeze life rate tracker to enhance treatment scheduling. This case describes how the adoption of digital tools allows rapid decision making and minimising over treatment of wash water injection and the impact this has on production. Copyright 2024, Society of Petroleum Engineers. |
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| publications-4890 |
Article |
2024 |
Gucma L.; MuczyΕ„ski B.; Bilewski M.; Gucma M.; Nisi M. |
The Application of Mixed Reality and UAS Technology in Port Decision-Making Process Based on PASSport Project |
TransNav |
10.12716/1001.18.01.11 |
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It is becoming increasingly important to provide a solution for managing the present mission and status of autonomous and semiβ€autonomous vehicles operating on site in large and complex port locations. More ports are implementing digital twin systems, which provide a complete 3D reconstruction of the port as well as realβ€time data on all objects and actions in progress. It is challenging to provide all relevant data in a way that improves situational awareness and decisionβ€making, resulting in improved management and a faster, more effective response during an emergency. This is due to greater port areas and drones operating in the air, on the waterΚΉs surface, and underneath. To solve this issue, the PASSport initiative, a project financed by the European Space Agency (EUSPA), is developing an innovative solution based on Mixed Reality (MR) technology. The solution combines realβ€time geoβ€tagged and Earth Observation data to provide end users with enhanced 3D representation of the port area via a dedicated Head Mounted Display (HMD) that records user location and movement. Β© 2024, Faculty of Navigation, Gdynia Maritime University. All rights reserved. |
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