| publications-5361 |
Article |
2021 |
Zhou S.; Guo S.; Du B.; Guo J.; Li Y.; Wang L.; Zha D.; Zhang F.; Yu L. |
Key technologies and application of integrated operation and maintenance platform for digital twin water treatment plant; [ζ•°ε—εη”_x009f_净水ε_x008e_‚θΏη»΄η®΅ζ_x008e_§δΈ€δ½“ε_x008c_–εΉ³ε_x008f_°ε…³ι”®ζ_x008a_€ζ_x009c_―ε_x008f__x008a_应用] |
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
10.13196/j.cims.2021.02.011 |
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To deal with the problems such as low information transparency, poor real-time performance and lack of delicacy control in drinking water treatment plant, an integrated operation and maintenance platform architecture was established, and the key technologies based on five-dimension digital twin model was proposed. The heterogeneous data integration technology and multi-level 3D visualization monitoring of digital twin water treatment plant were proposed to solve the problem of visual monitoring. The edge-cloud platform-based strategy was proposed with hybrid decision-making framework with mechanism model and intelligent model to solve cooperative control problem. Based on water production process, the models such as water supply and demand prediction, dosing optimization, pump group optimization, equipment preventive maintenance were established for process simulation and optimization. An integrated platform for drinking water treatment plant was developed, which verified the effectiveness of the proposed model and provided a certain reference for the realization of digital twin-based drinking water treatment plant. Β© 2021, Editorial Department of CIMS. All right reserved. |
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| publications-5362 |
Conference paper |
2021 |
Dreyer M.; Nicolet C.; Gaspoz A.; Gonçalves N.; Rey-Mermet S.; Boulicaut B. |
Monitoring 4.0 of penstocks: Digital twin for fatigue assessment |
IOP Conference Series: Earth and Environmental Science |
10.1088/1755-1315/774/1/012009 |
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In Europe, the ambitious goal of targeting at least 64% of electricity production from renewables by 2050 requires some significant increase of power network ancillary services. A general extension of primary/secondary reserves is necessary to cope with the increasing penetration of stochastic renewable energies and maintain the grid vulnerability at acceptable levels. In this context, hydropower plants are called upon to play a major role due to their operational flexibility and ability to provide ancillary services. However, the provision of these services is not without consequences for the plant, as the increase of load variations and start/stop sequences enhances fatigue problems by soliciting the penstocks faster than originally expected. Given that the fatigue wear rate can be 10x higher when ancillary services are active, it is crucial to ensure the fitness-for-service of the penstocks by proper monitoring. Nevertheless, the number of sensors along the hydraulic circuit is often very limited, so that periodic stops of the plant and inspections are necessary to assess the health of the pipes. In this paper, we present how a digital twin of the power plant, namely the Hydro-Clone system, can be used to fill this gap by enabling real-time knowledge of the transient pressures throughout the water conduits. These pressures are correlated to the stress variations using either analytical formula or finite element modelling (FEM), depending on the geometry and embedding conditions of each penstock element. The validity of this approach is demonstrated by comparing the predicted stresses with measured values in the penstock of the 200 MW La B tiaz hydropower plant, owned by ElectricitΓ© d'Emosson SA. To this end, strain gages are mounted at the bottom and top of the penstock, in front of the manifold and on the penstock protection valve. The appropriate conversion of pressure to stress at the strain gage location is derived through the analysis of FEM simulations. This work shows the benefits of using a digital twin for fatigue assessment and paves the way for real-time penstocks fatigue monitoring. Β© Published under licence by IOP Publishing Ltd. |
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| publications-5363 |
Article |
2021 |
Truu M.; Annus I.; Roosimägi J.; Kändler N.; Vassiljev A.; Kaur K. |
Integrated decision support system for pluvial flood-resilient spatial planning in urban areas |
Water (Switzerland) |
10.3390/w13233340 |
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Flood-resilient spatial planning in urban areas involves designing and implementing structural and nonstructural measures. For the latter, urban planners apply a precautionary principle, which is normally not grounded in the actual performance of the urban drainage system (UDS). This approach, however, fails during weather extremes with heavy precipitation. This paper presents a new concept for reducing pluvial flood risks in the urban planning process. The novelty of the developed planning support system named Extreme Weather Layer (EWL) is that it creates dynamic interlinkages between land developments, the performance of UDS, and other factors that contribute to flood risk. The EWL is built on the digital twin of the existing UDS and delivers an easy-to-use concept, where the end user can analyze hydraulic modelling results interlinked with climate scenarios using the GIS platform. This allows planning specialists to consider land use and soil types in the urban environment to simulate the response of the storm water system and the catchments to different rainfall events. This proposed approach was piloted in Haapsalu (Estonia) and Söderhamn (Sweden). The resulting planning support system, which performs as a set of layers within municipalities’ GIS, allows decision makers to understand and predict the impact of various spatial planning decisions on the pluvial flood risk. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
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| publications-5364 |
Conference paper |
2021 |
Sugimura T.; Matsumoto S.; Inoue S.; Terada S.; Miyazaki S. |
Hull Condition Monitoring and Lifetime Estimation by the Combination of On-Board Sensing and Digital Twin Technology |
Proceedings of the Annual Offshore Technology Conference |
10.4043/30977-MS |
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The industries using floating facilities such as FPSO and offshore wind turbine are increasing. Since these vessels have been fixed and operated in the installed area for a long period of time, they cannot be regularly docked, inspected and repaired as opposed to normal ship case, and limited to the inspection of the hull outer plates from under the water and the inspection of inside the tanks are conducted once every five years. These inspections involving visual inspections and thickness measurements at representative points, only examine the current state, and don’t evaluate quantitatively the future potential (remaining life) over the subsequent long operation period. To predict residual life in order to maintain the integrity of these structures, digital twin technology is proposed to realize this demand. This paper shows the method to develop digital twin assessment which solve the insufficiency of conventional monitoring and simulation method in order to utilize for risk-based inspection (RBI) and condition-based maintenance (CBM) to the operators. © 2021, Offshore Technology Conference. All rights reserved. |
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| publications-5365 |
Review |
2020 |
Giudicianni C.; Herrera M.; Nardo A.D.; Adeyeye K.; Ramos H.M. |
Overview of Energy Management and Leakage Control Systems for Smart Water Grids and Digital Water |
Modelling |
10.3390/modelling1020009 |
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Current and future smart cities are moving towards the zero-net energy use concept. To this end, the built environment should also be designed for efficient energy use and play a significant role in the production of such energy. At present, this is achieved by focusing on energy demand in buildings and to the renewable trade-off related to smart power grids. However, urban water distribution systems constantly carry an excess of hydraulic energy that can potentially be recovered to produce electricity. This paper presents a comprehensive review of current strategies for energy production by reviewing the state-of-the-art of smart water systems. New technologies (such as cyber-physical systems, digital twins, blockchain) and new methodologies (network dynamics, geometric deep learning) associated with digital water are also discussed. The paper then focuses on modelling the installation of both micro-turbines and pumps as turbines, instead of/together with pressure reduction valves, to further demonstrate the energy-recovery methods which will enable water network partitioning into district metered areas. The associated benefits on leakage control, as a source of energy, and for contributing to overall network resilience are also highlighted. The paper concludes by presenting future research directions. Notably, digital water is proposed as the main research and operational direction for current and future Water Distribution Systems (WDS) and as a holistic, data-centred framework for the operation and management of water networks. Β© 2020 by the authors. |
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| publications-5366 |
Article |
2022 |
Lysova N.; Solari F.; Vignali G. |
Optimization of an indirect heating process for food fluids through the combined use of CFD and Response Surface Methodology |
Food and Bioproducts Processing |
10.1016/j.fbp.2021.10.010 |
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The behavior of a counter-current tube-in-tube heat exchanger for fluid foods, was simulated under different operating conditions with a Computational Fluid Dynamics (CFD) parametric study. Three input parameters (product velocity vp,in, inlet product temperature Tp,in and inlet water temperature Tw,in) and two output parameters (outlet product temperature Tp,out and pressure drop across the heat exchanger Ξ”p) were chosen. The results highlighted that the relative impact of vp,in on Ξ”p was positive (93%), while higher Tp,in and Tw,in yielded lower pressure drop values (β’3% and β’4%, respectively). Tp,out was influenced positively by inlet product (62%) and water (22%) temperatures, and negatively by vp,in (β’16%). A Response Surface (RS) was then generated and validated with a suitable experimental campaign. A good agreement was found between the simulated and the experimental results: Tp,out and Ξ”p have been calculated with mean errors of 0.85 K and 628 Pa, respectively, thereby confirming the potential value of the RS as a Reduced Order Model, which could be used to develop a Digital Twin of the device. This modelling approach leads to a significant state-of-the-art improvement, allowing m the results of the CFD simulations to be ready-to-use, and granting deeper knowledge and finer control of the system. Β© 2021 |
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| publications-5367 |
Review |
2021 |
Li Q.; Yu W.; Zhao J. |
Key Technologies for the Safe Operation of Wind and Solar Power Generation Equipment in Support of the "Peak CO2 Emissions and Carbon Neutrality" Policy; [ζ”―ζ’‘"ε_x008f__x008c_ηΆ³"η›®ζ ‡η_x009a_„ι£_x008e_ε…‰ε_x008f_‘电装备安全θΏθ΅_x008c_ε…³ι”®ζ_x008a_€ζ_x009c_―] |
Gaodianya Jishu/High Voltage Engineering |
10.13336/j.1003-6520.hve.20211083 |
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To support the goal of "peak CO2 emissions and carbon neutrality", China's new energy sources, mainly wind power and photovoltaic power generation, will continue to see accelerated development in the longer term. In the process of rapid development of wind power and solar power generation, environmental factors bring challenges that affect the safe operation of the systems while creating high operation and maintenance costs. This paper reviewed the lightning strike, icing, dust accumulation, encapsulation and intelligent operation and maintenance of power generation systems, summarized the research progress in China and abroad, and clarified five key issues to be solved as follows: lightning strike mechanism of rotating wind turbines under the influence of multiple climate factors, development of all-weather wind turbine blades adapting to complex environments, reliable encapsulation technology of perovskite solar cells with water and oxygen isolation, digital-twin based all-weather intelligent operation, and maintenance technology of wind power and solar generation equipment and zero CO2 emission recyclable technology of wind power and solar generation equipment. The effective solution of these problems will enhance the adaptability of wind power and solar generation system in complex environment, promote the safe operation of the new energy generation system, reduce the dependence on fossil energy with high CO2 emission, and contribute to achieving the goal of "peak CO2 emissions and carbon neutrality". Β© 2021, High Voltage Engineering Editorial Department of CEPRI. All right reserved. |
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| publications-5368 |
Review |
2020 |
Therrien J.-D.; NicolaΓ― N.; Vanrolleghem P.A. |
A critical review of the data pipeline: How wastewater system operation flows from data to intelligence |
Water Science and Technology |
10.2166/wst.2020.393 |
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Faced with an unprecedented amount of data coming from evermore ubiquitous sensors, the wastewater treatment community has been hard at work to develop new monitoring systems, models and controllers to bridge the gap between current practice and data-driven, smart water systems. For additional sensor data and models to have an appreciable impact, however, they must be relevant enough to be looked at by busy water professionals; be clear enough to be understood; be reliable enough to be believed and be convincing enough to be acted upon. Failure to attain any one of those aspects can be a fatal blow to the adoption of even the most promising new measurement technology. This review paper examines the state-of-the-art in the transformation of raw data into actionable insight, specifically for water resource recovery facility (WRRF) operation. Sources of difficulties found along the way are pinpointed, while also exploring possible paths towards improving the value of collected data for all stakeholders, i.e., all personnel that have a stake in the good and efficient operation of a WRRF. Β© 2020 The Authors. |
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| publications-5369 |
Conference paper |
2022 |
Mounaam A.; Chhiti Y.; Souissi A.; Salouhi M.; Harmen Y.; Khouakhi M.E. |
Simulation and Optimization of an Industrial Sulfuric Acid Plant with Contact Process Using Python-Unisim Design |
Lecture Notes in Networks and Systems |
10.1007/978-3-030-84811-8_4 |
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Sulfuric acid is widely used in different business areas such as, fertilizers, mining industry and waste gas treatment. The contact process is the modern industrial method for producing H2SO4. It has mostly replaced the chamber or lead-chamber process. Process technology is based on the production of Sulphur dioxide (SO2) by liquid sulfur burning using dry air, followed by catalytic conversion to produce sulfur trioxide (SO3) which is finally absorbed in water to obtain sulfuric acid (H2SO4). In the sulfuric acid manufacturing industries, plant modelling and simulation is a challenging task to minimize emissions, maximize production performance and revenue. In this light, the purpose of this paper was to develop semi-empirical dynamic models for modelling, simulation, and optimization of an industrial sulfuric acid manufacturing plant with contact process. Unisim Design simulator was selected to perform all simulation tasks. Unisim was coupled with Python programming language in order to sending data to Unisim Design simulator and reading back simulation results. In addition, the developed dynamic model includes a graphical user interface, thus making the model suitable for real time plant simulation, operator training and digital twin development. Finally, a parametric study, involving different optimization parameters, was carried out. The model developed in this work makes it possible to simulate the sulfuric acid plant with contact process in real time, optimize the performance and minimize the cost and SOx emissions. Β© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
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| publications-5370 |
Conference paper |
2020 |
De Kruif B.J.; Ypma E. |
Self-Propulsion Parameter Identification for Control of Marin's AUV |
2020 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2020 |
10.1109/AUV50043.2020.9267906 |
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Marin designed and built a modular autonomous underwater vehicle to be used in its model basins. In order to improve the control design, as well as its digital twin, the motions of the simulation model should closely resemble the motions of the true system. The goal of this work is to improve the estimates of the model parameters. The estimation is done during self-propulsion tests to gather data from the true system response, while emphasising on one parameter at a time.Our AUV has more thrusters than there are degrees of freedom, and this property is used to find the relative thrust coefficients of the individual thrusters. The coefficients found are validated and it was found that they better match than the settings previously obtained with a captive test. The added mass is estimated in combination with the rigid body mass based on i) forced harmonic excitations, ii) free exponential decay and iii) closed loop step tests. The principle drag terms were estimated by sailing at a set of constant velocities and fitting the drag coefficients to the median values of the steady state values.Next to a scaling factor, the added masses and principle drag terms for a 6 DOF AUV are identified with self-propulsion tests without the use of an external captive set up. The tests for the hydrodynamic parameters can be performed while in closed-loop control, making them easy to repeat when the modular aspect of our AUV is tested. Β© 2020 IEEE. |
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