| publications-5171 |
Article |
2022 |
Lee J.-H.; Nam Y.-S.; Kim Y.; Liu Y.; Lee J.; Yang H. |
Real-time digital twin for ship operation in waves |
Ocean Engineering |
10.1016/j.oceaneng.2022.112867 |
|
|
|
This paper introduces a real-time digital twin for ship operations in seaways. The concept of the digital twin is becoming popular, and it is adopted for ship operation systems in this study. In particular, this paper introduces a new and innovative concept of the digital twin to predict ocean waves and hydrodynamic performances, such as seakeeping and maneuvering, which enables the risk and optimum route to be forecast in real time. An essential element in the realization of such a real-time digital twin is the real-time prediction of ocean waves. Hence, a sophisticated algorithm for wave reconstruction using measured wave-radar images is developed, which is extended to predicting the future evolution of a three-dimensional wave field in front of a ship within a time window of the order of 10 min. As another essential element, an analysis program to solve the coupled seakeeping-maneuvering problem is developed. This analysis can also be used in real time. By combining this with wave prediction software, the future occurrence of ocean waves and ship responses can be predicted. By extending this approach, the risk and performance of ships in various ocean environments can be predicted. In this paper, concepts, approaches, and examples are introduced. Β© 2022 The Authors |
|
|
|
|
| publications-5172 |
Conference paper |
2022 |
Grossmann V.; Nakath D.; Urlaub M.; Oppelt N.; Koch R.; Köser K. |
Digital twinning in the ocean-challenges in multimodal sensing and multiscale fusion based on faithful visual models |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
10.5194/isprs-Annals-V-4-2022-345-2022 |
|
|
|
In engineering, machines are typically built after a careful conception and design process: All components of a system, their roles and the interaction between them is well understood, and often even digital models of the system exist before the actual hardware is built. This enables simulations and even feedback loops between the real-world system and a digital model, leading to a digital twin that allows better testing, prediction and understanding of complex effects. On the contrary, in Earth sciences, and particularly in ocean sciences, models exist only for certain aspects of the real world, of certain processes and of some interactions and dependencies between different "components"of the ocean. These individual models cover large temporal (seconds to millions of years) and spatial (millimetres to thousands of kilometres) scales, a variety of field data underpin them, and their results are represented in many different ways. A key to enabling digital twins in the oceans is fusion at different levels, in particular, fusion of data sources and modalities, fusion over different scales and fusion of differing representations. We outline these challenges and exemplify different envisioned digital twins employed in the oceans involving remote sensing, underwater photogrammetry and computer vision, focusing on optical aspects of the digital twinning process. In particular, we look at the holistic sensing scenarios of optical properties in coastal waters as well as seafloor dynamics at volcanic slopes and discuss road blockers for digital twins as well as potential solutions to increase and widen the use of digital twins. Β© 2022 Copernicus GmbH. All rights reserved. |
|
|
|
|
| publications-5173 |
Article |
2022 |
Pillai U.P.A.; Pinardi N.; Alessandri J.; Federico I.; Causio S.; Unguendoli S.; Valentini A.; Staneva J. |
A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges |
Science of the Total Environment |
10.1016/j.scitotenv.2022.157603 |
|
|
|
In this paper we demonstrate a novel framework for assessing nature-based solutions (NBSs) in coastal zones using a new suite of numerical models that provide a virtual β€_x009c_replicaβ€_x009d_ of the natural environment. We design experiments that use a Digital Twin strategy to establish the wave, sea level and current attenuation due to seagrass NBSs. This Digital Twin modelling framework allows us to answer β€_x009c_what ifβ€_x009d_ scenario questions such as: (i) are indigenous seagrass meadows able to reduce the energy of storm surges, and if so how? (ii) what are the best seagrass types and their landscaping for optimal wave and current attenuation? An important result of the study is to show that the landscaping of seagrasses is an important design choice and that seagrass does not directly attenuate the sea level but the current amplitudes. This framework reveals the link between seagrass NBS and the components of the disruptive potential of storm surges (waves and sea level) and opens up new avenues for future studies. Β© 2022 |
|
|
|
|
| publications-5174 |
Article |
2022 |
Hamid A.; Hasan A.H.; Azhari S.N.; Harun Z.; Putra Z.A. |
Hybrid modelling for remote process monitoring and optimisation |
Digital Chemical Engineering |
10.1016/j.dche.2022.100044 |
|
|
|
Process simulation is used to develop a digital twin representation of chemical processes typically for process optimization or what-if scenarios. However, it is known to be computationally expensive and there is an increasing need for process remote monitoring and optimization. This is where machine learning models shine, where they can run up to several orders of magnitude faster than their equivalent first principle process simulation models. Most of the previous work in this area tend to demonstrate the ability of machine learning models to accurately capture complex, non-linear relationships between process parameters in various chemical processes. Two important aspects are rarely discussed, namely the construction of machine learning models using operating data and the deployment of these models. In this paper, we address these two aspects and review the different information silos in industrial settings that need to be considered when working with hybrid models (combining process simulation and machine learning). This is illustrated by a case study for an operating natural gas dehydration unit, covering data management, process simulation, machine learning and visualization. We demonstrate how the hybrid models can be constructed and packaged as an online monitoring and a prediction dashboard. Several unique challenges are also highlighted including the reliability of field data and operational deviations due to operability and controllability - all of which need to be understood in order to successfully translate operating systems to process simulation and machine learning models that are reliable and accurate. While the exact implementation may vary from project to project, the current work serves as an example and highlights the important considerations to make when working with such systems. Β© 2022 The Author(s) |
|
|
|
|
| publications-5175 |
Article |
2022 |
Buyanov I.V.; Aralov O.V.; Korolionok A.M.; Iordansky E.I.; Berezhansky N.V. |
Main results of sampling equipment study |
Neftyanoe Khozyaystvo - Oil Industry |
10.24887/0028-2448-2022-4-86-89 |
|
|
|
By its composition, the oil transported via main pipelines has heterogeneous composition including water, chlorides and mechanical impurities. To provide reliable taking of crude oil mass into account, home oil companies use crude oil custody transfer metering systems, which incorporate sampling equipment (SE). In this paper the authors throw light on the actual theme of studying SE structures, as well as evaluation of actual sample representativity taken from pipelines using SE. Similar studies have become possible owing to 10-year development of special measurement standards in the Russian Federation that permit to perform experimental studies in the area of liquid-gas mixture mass flow rates. Within the testing four SE with nominal diameter DN100 with one and five holes of various input areas were manufactured. The paper explains in detail the flow preparation and sampling procedure that is realized after flow stabilization at both completely and partially opened throttles; at that four liquid samples are taken successively. Water and oil simulator EXXSOL D100 were used as working liquids. The results of performed experimental studies demonstrated that SE versions with five holes of design input areas 98 and 129.035 mm2 are most preferable in comparison with the values specified at the National Primary Special Standard of mass flow rate unit of liquid-gas mixtures GET-195-2011. The obtained experimental results will be used for creating digital twins of both main equipment and CQCS as a whole. This project is currently implemented in The Pipeline Transport Institute LLC. Β© 2022, Neftyanoe Khozyaistvo. All rights reserved. |
|
|
|
|
| publications-5176 |
Conference paper |
2022 |
Zhabitskii M.; Andryenko Y.; Josanov A.; Malyshev V. |
The operation optimizing experience for a high-intensity closed water circulation aquabiofarm based on a combination of digital twin technologies and the industrial Internet of Things |
AIP Conference Proceedings |
10.1063/5.0100737 |
|
|
|
The research subject is development and testing for efficiency of technologies combining digital twin and the industrial Internet of Things for the biotechnological farm. The research object is a high-tech closed water circulation aquafarm. The information model is based on data from a specific high-intensity aquabiotechnological enterprise in Russia, the Kursk region. A pool of complex research methods was used and a data model was developed to describe this system. A digital model includes BIM, mathematical, engineering, and economic models. The information base is filled directly by real-time sensors data, as a dynamical digital twin was formed. Its interface allows to create of an image both for the current system state or for any previous times. While the predictive analytics methods were used, the simulation results were compared with the real data. The digital twin integrates heterogeneous components: (i) Mathematical model of the development of the population of commercial aquaculture was used. Mathematical models by different types of the aquaculture population were created during this research. (ii) An engineering model includes sets of sensors and actuators. They generated parameters of the aquaculture habitat, operating modes sensors for biological and engineering components. Additionally, resource consumption data counters were employed. (iii) The economic model should consider the real volumes of consumption and prices for all the used resources. Detailed online accounting of electricity, heat, water, supplies, and consumables costs is organized, with differentiation by engineering systems and aquaculture groups (cages). During this study, the sufficient model's accuracy level was confirmed. We used such models to describe and predict the biological productivity of the aquafarm and its economic efficiency. The efficiency and prospects of the approach to the management of biotechnological production using digital twin technologies and the Internet of Things are additionally displayed. There has been a plan developed to continue the work in the future for intelligent assistant creation and robotic management for aquabiotechnological farms. Β© 2022 Author(s). |
|
|
|
|
| publications-5177 |
Article |
2022 |
Brasil J.A.T.; de Macedo M.B.; de Oliveira T.R.P.; Ghiglieno F.G.; de Souza V.C.B.; e Silva G.M.; Gomes JΓΊnior M.N.; de Souza F.A.A.; Mendiondo E.M. |
Can we scale Digital Twins of Nature-based Solutions for stormwater and transboundary water security projects? |
Journal of Hydroinformatics |
10.2166/hydro.2022.142 |
|
|
|
Nature-based Solutions (NbS) are presented as an alternative and decentralized solutions with different application scales for problems addressed to urban expansion as water quality reduction and floods. The usage of control strategies and mathematical modeling techniques has shown promising results for optimizing hydraulic and water treatment processes. The Digital Twins (DT) as process integration technology are widely used in industry, and recently these technique usages in urban water systems are showing effective results in both management and planning. However, there is a lack of proper literature definition for DT applied to NbS, especially for stormwater and transboundary water security projects. Thus, this paper sought through a literature review to access the existing conceptual challenges and the DT definition as a framework, identify how the mathematical modeling reported in the literature can improve the DT development, and evaluate the potential benefits associated with the application of DT in NbS. Β© 2022 The Authors. |
|
|
|
|
| publications-5178 |
Article |
2022 |
Qiu Y.; Duan H.; Xie H.; Ding X.; Jiao Y. |
Design and development of a web-based interactive twin platform for watershed management |
Transactions in GIS |
10.1111/tgis.12904 |
|
|
|
There are limitations to traditional digital watershed platforms in terms of realistic visualization of geospatial elements and powerful decision support for watershed management. To advance the status quo, a web-based digital twin is designed and implemented in this article that can: (1) realize virtual simulation of geographic elements on the browser side; (2) present the current situation and excessive information of the watershed water environment; and (3) provide decision support for integrated watershed management. Multiple 3D modeling methods are adopted cooperatively for total-factor virtual simulation of geographic elements, and a browser-side data loading scheme is designed for dynamic loading and cull rendering of 3D models. Additionally, schemes for spatiotemporal modeling of multisource data, analysis of multitype data, and scientific computation of mathematical models are proposed to support precise watershed management, making the platform practical. The implemented digital twin is applied in the Chaohu Lake Watershed, demonstrating that it can realize both stunning visual effects and practical decision-support functions. Β© 2022 John Wiley & Sons Ltd. |
|
|
|
|
| publications-5179 |
Article |
2022 |
Wu H.; Gan Y.; Jin K. |
A retrospect on the water diversion project from Yangtze River to Lake Taihu during 2002-2021: Practices, achievements and future challenges; [β€_x009c_εΌ•ζ±_x009f_ζµ_x008e_ε¤β€_x009d_20 εΉ΄:工程ε®_x009e_θ·µγ€ζζ•ε’_x008c_ζ_x009c_ζ_x009d_¥ζ_x008c_‘ζ] |
Hupo Kexue/Journal of Lake Sciences |
10.18307/2022.0500 |
|
|
|
In the past decades, Taihu Basin has witnessed rapid economic and social development. However, due to the lack of corresponding alternation in the economic growth mode, the water circulation system of Taihu Basin has been disturbed and destroyed, resulted in great threaten in the water security. As a key measure to ensure water security and an important measure to comprehensive water treatment in Taihu Basin, the water diversion project from Yangtze River to Lake Taihu has been launched since 2002. Supplementing drought with increased abundant water resources, suppressing the large-scale outbreak of cyanobacteria in Lake Taihu and improving water environment in the basin, prompt response to water pollution crisis to ensure the safety of water supply, the water diversion project has achieved remarkable comprehensive benefits which attracted extensive attention from social public. Based on monitoring data and published literatures, the paper reviewed the background, process and achievements of water diversion practice focusing on the scheduling mode, water quantity and quality ensure, flood-drought risk management and water diversion event-driven. The results show that water diversion project has resolved some key scientific questions of management through series of practices and exploration, and has become an important means to improve the carrying capacity of water resources and environment. Facing extreme climate and water cycle pattern changes of the basin, new demands and challenges emerged to ensure water security of the integrated high-quality development of Yangtze River Delta. It is suggested that multi-objective coordination scheduling should be explored, water diversion based on digital twin should be carried out, and water network construction should be promoted to maximize the comprehensive benefits of water diversion from Yangtze River to Lake Taihu. Β© 2022 by Journal of Lake Sciences. |
|
|
|
|
| publications-5180 |
Article |
2022 |
Baaden M. |
Deep inside molecules - digital twins at the nanoscale |
Virtual Reality and Intelligent Hardware |
10.1016/j.vrih.2022.03.001 |
|
|
|
Background: Offer rich potential for exploration in virtual reality. Using interactive molecular simulation approaches, they enable a human operator to access the physical properties of molecular objects and to build, manipulate, and study their assemblies. Integrative modeling and drug design are important application areas. Methods: In this study, head-mounted virtual reality displays connected to molecular simulation engines were used to create interactive and immersive digital twins. They were used to perform specific tasks relevant to the use cases. Results: Three areas were investigated: Model building, rational design, and the use of tangible models. We report several membrane-embedded systems of ion channels, viral components, and artificial water channels. We were able to improve and create molecular designs based on digital twins. Conclusions: The molecular application domain offers great opportunities and most of the technical and technological aspects have been solved. Wider adoption is expected once the onboarding of VR is simplified and the technology gains wider acceptance. Β© 2022 Beijing Zhongke Journal Publishing Co. Ltd |
|
|
|
|
