Relevant bibliographies by topics / Co-simulation Infrastructure

Academic literature on the topic 'Co-simulation Infrastructure'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Co-simulation Infrastructure"

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Wang, Fei, Joseph Jonathan Magoua, and Nan Li. "Modeling cascading failure of interdependent critical infrastructure systems using HLA-based co-simulation." Automation in Construction 133 (January 2022): 104008. http://dx.doi.org/10.1016/j.autcon.2021.104008.

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Varga, Liz, Fatih Camci, Joby Boxall, Amir Toossi, John Machell, Phil T. Blythe, and Colin Taylor. "Transforming Critical Infrastructure." International Journal of E-Planning Research 2, no. 3 (July 2013): 38–49. http://dx.doi.org/10.4018/ijepr.2013070104.

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The application of complexity science to policy for critical infrastructure systems has never been more important. A number of issues highlight the need for policy to match the complexity of the co-evolving environment: increasing interdependency between utilities, uncontrolled demand leading to over use of diminishing resources, diverse technological opportunities with unclear investment choices, governance at different scales, public-private ownership differences and emerging business models. Systems are now so complex that people do not understand the interdependencies. Individual utilities are optimised with limited redundancy so that even minor failures can lead to major impacts throughout the whole infrastructure environment. This article proposes an ontology of critical infrastructure in which the points of conversion in the system are the generic units of analysis. Each conversion point has a set of properties representing its real world description. This ontological perspective highlights the inter-disciplinary nature of critical infrastructure systems. It also allows, through the adoption of an agent-based modelling approach, the simulation of different environmental constraints, such as those of resource availability. Methodologically, such modelling provides an abstracted view of infrastructure systems that simplifies the real world but allows policy options to be tested based on assumptions about behaviour in response to exogenous changes. Epistemologically, it focuses on a dynamic, co-evolutionary understanding of the system transition over time by examining holistic, systemic outcomes, connecting micro behaviours with macro structures. A case study of critical infrastructure in Yorkshire in the UK provides an exemplar of complexity in the real world. The model, a metaphysical representation, demonstrates how policy can be connected with the real world. This paper focuses on the infrastructure in the UK but the principles will apply to other countries.
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Çakmak, Hüseyin, Anselm Erdmann, Michael Kyesswa, Uwe Kühnapfel, and Veit Hagenmeyer. "A new distributed co-simulation architecture for multi-physics based energy systems integration." at - Automatisierungstechnik 67, no. 11 (November 26, 2019): 972–83. http://dx.doi.org/10.1515/auto-2019-0081.

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Abstract Simulating energy systems integration scenarios enables a comprehensive consideration of interdependencies between multimodal energy grids. It is an important part of the planning for the redesign of the current energy system infrastructure, which is essential for the foreseen drastic reduction of carbon emissions. In contrast to the complex implementation of monolithic simulation architectures, emerging distributed co-simulation technologies enable the combination of several existing single-domain simulations into one large energy systems integration simulation. Accompanying disadvantages of coupling simulators have to be minimized by an appropriate co-simulation architecture. Hence, in the present paper, a new simulation architecture for energy systems integration co-simulation is introduced, which enables an easy and fast handling of the therefore required simulation setup. The performance of the new distributed co-simulation architecture for energy systems integration is shown by a campus grid scenario with a focus on the effects of power to gas and the reversal process onto the electricity grid. The implemented control strategy enables a successful co-simulation of electrolysis coupled with photovoltaics, a hydrogen storage with a combined heat and power plant and a variable power consumption.
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Le, Tan Duy, Adnan Anwar, Seng W. Loke, Razvan Beuran, and Yasuo Tan. "GridAttackSim: A Cyber Attack Simulation Framework for Smart Grids." Electronics 9, no. 8 (July 29, 2020): 1218. http://dx.doi.org/10.3390/electronics9081218.

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The smart grid system is one of the key infrastructures required to sustain our future society. It is a complex system that comprises two independent parts: power grids and communication networks. There have been several cyber attacks on smart grid systems in recent years that have caused significant consequences. Therefore, cybersecurity training specific to the smart grid system is essential in order to handle these security issues adequately. Unfortunately, concepts related to automation, ICT, smart grids, and other physical sectors are typically not covered by conventional training and education methods. These cybersecurity experiences can be achieved by conducting training using a smart grid co-simulation, which is the integration of at least two simulation models. However, there has been little effort to research attack simulation tools for smart grids. In this research, we first review the existing research in the field, and then propose a smart grid attack co-simulation framework called GridAttackSim based on the combination of GridLAB-D, ns-3, and FNCS. The proposed architecture allows us to simulate smart grid infrastructure features with various cybersecurity attacks and then visualize their consequences automatically. Furthermore, the simulator not only features a set of built-in attack profiles but also enables scientists and electric utilities interested in improving smart grid security to design new ones. Case studies were conducted to validate the key functionalities of the proposed framework. The simulation results are supported by relevant works in the field, and the system can potentially be deployed for cybersecurity training and research.
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Dong, Xinyu, Peng Yuan, Yonghui Song, and Wenxuan Yi. "Optimizing Green-Gray Infrastructure for Non-Point Source Pollution Control under Future Uncertainties." International Journal of Environmental Research and Public Health 18, no. 14 (July 16, 2021): 7586. http://dx.doi.org/10.3390/ijerph18147586.

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Non-Point Source Pollution (NPS) caused by polluted and untreated stormwater runoff discharging into water bodies has become a serious threat to the ecological environment. Green infrastructure and gray infrastructure are considered to be the main stormwater management measures, and the issue of their cost-effectiveness is a widespread concern for decision makers. Multi-objective optimization is one of the most reliable and commonly used approaches in solving cost-effectiveness issues. However, many studies optimized green and gray infrastructure under an invariant condition, and the additional benefits of green infrastructure were neglected. In this study, a simulation-optimization framework was developed by integrated Stormwater Management Model (SWMM) and Non-dominated Sorting Genetic Algorithm (NSGA-II) to optimize green and gray infrastructure for NPS control under future scenarios, and a realistic area of Sponge City in Nanchang, China, was used as a typical case. Different levels of additional benefits of green infrastructure were estimated in the optimizing process. The results demonstrated that green-gray infrastructure can produce a co-benefit if the green infrastructure have appropriate Value of Additional Benefits (VAB), otherwise, gray infrastructure will be a more cost-effectiveness measure. Moreover, gray infrastructure is more sensitive than green infrastructure and green-gray infrastructure under future scenarios. The findings of the study could help decision makers to develop suitable planning for NPS control based on investment cost and water quality objectives.
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Joseph, Binsy, and Deepak Vishnu Bhoir. "Design and Assessment of Electric Vehicle Performance Parameters based on Drive Cycle." ITM Web of Conferences 40 (2021): 01007. http://dx.doi.org/10.1051/itmconf/20214001007.

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Electric vehicle plays a significant role, in the future transportation across the world. EV has the potential to reduce air pollution and emission of Greenhouse gasses significantly compared to the existing fossil-fuel-based vehicles. Even though substantial progress can be expected in the area of embarked energy storage technologies, charging infrastructure, customer acceptance of Electric Vehicles is still limited due to the problems of Driving range anxiety and long battery charging time. We can solve most of these problems with the infrastructure development ,optimum sizing and design of the vehicle components and extensive study on vehicle dynamics under various real-time driving conditions. This research focuses on the Matlab software based co-simulation of Electric Vehicle system, including the battery pack and motor, to predict the vehicle performance parameters like driving range, efficiency, power requirement, and energy characteristics under different driving scenarios. The vehicle’s acceleration performance, energy consumption, and efficiency are determined by simulation and verified analytically. Using ADVISOR software the fuel economies and tail pipe emission for various vehicle models are determined by simulation and results are compared with Hybrid Electric vehicle models.
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Yu, Xiaosong, Lu Lu, Yongli Zhao, Feng Wang, Avishek Nag, Xinghua Li, and Jie Zhang. "Virtual Network Provisioning over Mixed-Fixed/Flexible-Grid Optical Infrastructures." Electronics 10, no. 17 (August 26, 2021): 2067. http://dx.doi.org/10.3390/electronics10172067.

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With the emergence of cloud services based on data centers, demands for bandwidth-intensive applications have increased dramatically, and application services have transferred to a more diversified direction. Management as well as capacity of the backbone network needs further development to catch up with rapidly evolved application demands. Optical network virtualization can facilitate the sharing of physical infrastructure among multiple network applications. Virtual Network Embedding (VNE), the main implementation of network virtualization, determines how to map a virtual network request onto physical substrate. To expand the network capacity, flexible-grid elastic optical networks have been considered as a promising supporting technology for the future infrastructure of the next-generation Internet. However, due to the expense of key enabling equipment for flexible grid optical networks, the brown-field migration from a fixed grid to a flexible grid gave birth to the co-existing fixed/flexible grid. Based on the co-existing fixed/flexible grid optical networks, we investigate the problem of Virtual Optical Network (VON) provisioning, and present a flexible-grid-aware virtual network embedding algorithm to map the virtual networks onto the substrate network. In addition, the performance of the algorithm was evaluated under four different network scenarios. Simulation results show that the proposed algorithm can achieve better performance in all four scenarios.
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Lindenschmidt, K. E., F. B. Hesser, and M. Rode. "Integrating water quality models in the High Level Architecture (HLA) environment." Advances in Geosciences 4 (August 9, 2005): 51–56. http://dx.doi.org/10.5194/adgeo-4-51-2005.

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Abstract. HLA (High Level Architecture) is a computer architecture for constructing distributed simulations. It facilitates interoperability among different simulations and simulation types and promotes reuse of simulation software modules. The core of the HLA is the Run-Time Infrastructure (RTI) that provides services to start and stop a simulation execution, to transfer data between interoperating simulations, to control the amount and routing of data that is passed, and to co-ordinate the passage of simulated time among the simulations. The authors are not aware of any HLA applications in the field of water resources management. The development of such a system is underway at the UFZ -Centre for Environmental Research, Germany, in which the simulations of a hydrodynamic model (DYNHYD), eutrophication model (EUTRO) and sediment and micro-pollutant transport model (TOXI) are interlinked and co-ordinated by the HLA RTI environment. This configuration enables extensions such as (i) "cross-model" uncertainty analysis with Monte Carlo Analysis: time synchronisation allows EUTRO and TOXI simulations to be made after each successive simulation time step in DYNHYD, (ii) information transfer from EUTRO to TOXI to compute organic carbon fractions of particulate matter in TOXI, (iii) information transfer from TOXI to EUTRO to compute extinction coefficients in EUTRO and (iv) feedback from water quality simulations to the hydrodynamic modeling.
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Xie, Yu Feng, and Peng Du. "Research Hotspots of Water Transfer Project in China Based on Multidimensional Scaling Analysis and Cluster Analysis." Applied Mechanics and Materials 409-410 (September 2013): 298–303. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.298.

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China National Knowledge Infrastructure database (CNKI) is used as the platform to analyze the keywords of water transfer project related papers published on core journals during the past 20 years. After using the softwares Ucinet and SPSS to make co-word analysis including multidimensional scaling analysis and cluster analysis, the research hotspots of water transfer are discussed. Results are found that research hotspots can be divided into four aspects, including water environment simulation on major water transfer project, planning and water resource impact of inter-basin water transfer project, transferable water volume analysis and ecological compensation, and water supply scheme and risk assessment.
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Fang, Luning, Ruochun Zhang, Colin Vanden Heuvel, Radu Serban, and Dan Negrut. "Chrono::GPU: An Open-Source Simulation Package for Granular Dynamics Using the Discrete Element Method." Processes 9, no. 10 (October 13, 2021): 1813. http://dx.doi.org/10.3390/pr9101813.

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We report on an open-source, publicly available C++ software module called Chrono::GPU, which uses the Discrete Element Method (DEM) to simulate large granular systems on Graphics Processing Unit (GPU) cards. The solver supports the integration of granular material with geometries defined by triangle meshes, as well as co-simulation with the multi-physics simulation engine Chrono. Chrono::GPU adopts a smooth contact formulation and implements various common contact force models, such as the Hertzian model for normal force and the Mindlin friction force model, which takes into account the history of tangential displacement, rolling frictional torques, and cohesion. We report on the code structure and highlight its use of mixed data types for reducing the memory footprint and increasing simulation speed. We discuss several validation tests (wave propagation, rotating drum, direct shear test, crater test) that compare the simulation results against experimental data or results reported in the literature. In another benchmark test, we demonstrate linear scaling with a problem size up to the GPU memory capacity; specifically, for systems with 130 million DEM elements. The simulation infrastructure is demonstrated in conjunction with simulations of the NASA Curiosity rover, which is currently active on Mars.
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Dissertations / Theses on the topic "Co-simulation Infrastructure"

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Lin, Hua. "Communication Infrastructure for the Smart Grid: A Co-Simulation Based Study on Techniques to Improve the Power Transmission System Functions with Efficient Data Networks." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/29248.

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The vision of the smart grid is predicated upon pervasive use of modern digital communication techniques in today's power system. As wide area measurements and control techniques are being developed and deployed for a more resilient power system, the role of communication networks is becoming prominent. Advanced communication infrastructure provides much wider system observability and enables globally optimal control schemes. Wide area measurement and monitoring with Phasor Measurement Units (PMUs) or Intelligent Electronic Devices (IED) is a growing trend in this context. However, the large amount of data collected by PMUs or IEDs needs to be transferred over the data network to control centers where real-time state estimation, protection, and control decisions are made. The volume and frequency of such data transfers, and real-time delivery requirements mandate that sufficient bandwidth and proper delay characteristics must be ensured for the correct operations. Power system dynamics get influenced by the underlying communication infrastructure. Therefore, extensive integration of power system and communication infrastructure mandates that the two systems be studied as a single distributed cyber-physical system. This dissertation proposes a global event-driven co-simulation framework, which is termed as GECO, for interconnected power system and communication network. GECO can be used as a design pattern for hybrid system simulation with continuous/discrete sub-components. An implementation of GECO is achieved by integrating two software packages: PSLF and NS2 into the framework. Besides, this dissertation proposes and studies a set of power system applications which can be only properly evaluated on a co-simulation framework like GECO, namely communication-based distance relay protection, all-PMU state estimation and PMU-based out-of-step protection. All of them take advantage of interplays between the power grid and the communication infrastructure. The GECO experiments described in this dissertation not only show the efficacy of the GECO framework, but also provide experience on how to go about using GECO in smart grid planning activities.
Ph. D.
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Georg, Kai Hanno [Verfasser]. "Co-Simulation Based Performance Evaluation of ICT Infrastructures for Smart Grids / Kai Hanno Georg." Aachen : Shaker, 2015. http://d-nb.info/1080763651/34.

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Book chapters on the topic "Co-simulation Infrastructure"

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Alajlouni, Saed, and Vittal Rao. "Anomaly Detection in Liquid Pipelines Using Modeling, Co-Simulation and Dynamical Estimation." In Critical Infrastructure Protection VII, 111–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45330-4_8.

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Harrabi, Intissar, Taycir Louati, Martin Lévesque, and Martin Maier. "Testbed Design and Co-simulation of PEV Coordination Schemes Over Integrated Fiber-Wireless Smart Grid Communications Infrastructures." In Plug In Electric Vehicles in Smart Grids, 99–128. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-287-299-9_4.

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Conference papers on the topic "Co-simulation Infrastructure"

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Ferrari, P., A. Flammini, S. Rinaldi, E. Sisinni, and G. Prytz. "Co-simulation of network infrastructure for substation automation systems." In 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA). IEEE, 2013. http://dx.doi.org/10.1109/etfa.2013.6648149.

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Guang Yang, Xi Chen, F. Balarin, H. Hsieh, and A. Sangiovanni-Vincentelli. "Communication and Co-Simulation Infrastructure for Heterogeneous System Integration." In 2006 Design, Automation and Test in Europe. IEEE, 2006. http://dx.doi.org/10.1109/date.2006.243829.

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Faschang, Mario, Martin Nohrer, Johannes Stockl, and Friederich Kupzog. "Extensible co-simulation framework for electric vehicle charging infrastructure testing." In 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2014. http://dx.doi.org/10.1109/smartgridcomm.2014.7007643.

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Barbierato, Luca, Enrico Pons, Andrea Mazza, Ettore Francesco Bompard, Vetrivel Subramaniam Rajkumar, Peter Palensky, Enrico Macii, Lorenzo Bottaccioli, and Edoardo Patti. "Stability and Accuracy Analysis of a Real-time Co-simulation Infrastructure." In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2021. http://dx.doi.org/10.1109/eeeic/icpseurope51590.2021.9584687.

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Pierce, Ken, Carl Gamble, Yunyun Ni, and Jan F. Broenink. "Collaborative Modelling and Co-simulation with DESTECS: A Pilot Study." In 2012 IEEE 21st International Workshop On Enabling Technologies: Infrastructure For Collaborative Enterprises (WETICE). IEEE, 2012. http://dx.doi.org/10.1109/wetice.2012.69.

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Levesque, Martin, Da Qian Xu, Geza Joos, and Martin Maier. "Co-Simulation of PEV coordination schemes over a FiWi Smart Grid communications infrastructure." In IECON 2012 - 38th Annual Conference of IEEE Industrial Electronics. IEEE, 2012. http://dx.doi.org/10.1109/iecon.2012.6389434.

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Bottaccioli, Lorenzo, Edoardo Patti, Enrico Macii, and Andrea Acquaviva. "Distributed Infrastructure for Multi-Energy-Systems Modelling and Co-simulation in Urban Districts." In 7th International Conference on Smart Cities and Green ICT Systems. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006764502620269.

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Kumar, Rakesh, Jose Cano, Aleksandar Brankovic, Demos Pavlou, Kyriakos Stavrou, Enric Gibert, Alejandro Martinez, and Antonio Gonzalez. "HW/SW co-designed processors: Challenges, design choices and a simulation infrastructure for evaluation." In 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). IEEE, 2017. http://dx.doi.org/10.1109/ispass.2017.7975290.

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D'Agostino, Fabio, Daniele Kaza, Giacomo-Piero Schiapparelli, and Federico Silvestro. "The ShIL Project: a new laboratory infrastructure for co-simulation of multi-domain marine applications." In 2020 AEIT International Annual Conference (AEIT). IEEE, 2020. http://dx.doi.org/10.23919/aeit50178.2020.9241110.

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Akutsu, Ayako, Sanjeema Bajracharya, Eiichi Sasaki, Tetsuhiro Shimozato, and Masayuki Tai. "Eddy current based evaluation of axial force of high-strength bolts." In IABSE Congress, Christchurch 2021: Resilient technologies for sustainable infrastructure. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/christchurch.2021.0045.

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<p>Many bridges have been in service for over 40 years and face to the repapering or reinforcing period due to deterioration. Particularly, in a high-strength bolts used for joints may be loosened due to co-rotation, corrosion, or vibration caused by the vehicles. Thus, it is important to evaluate an axial force of the high-strength bolts. In this research, an axial force evaluation of high-strength bolt using eddy current that does not require measurement preparation has been investigated. The eddy current method is capable of capturing the change in permeability of steel members due to the stress change. Further, the stress distribution of the bolt head is assumed uniform without directionality. Therefore, a numerical simulation and an experiment that measures the output signal of the eddy current probe while introducing axial force to the high-strength bolt has conducted.</p>
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